From: https://www.kaggle.com/kenakai16/training
Author: kenakai
Score: 0.397
import numpy as np # linear algebra
import pandas as pd # data processing, CSV file I/O (e.g. pd.read_csv)
import os,sys
import numpy as np
from random import shuffle
import cv2
from tqdm import tqdm
import os
print(os.listdir("../"))
['input', 'working', 'src', 'lib']
df = pd.read_csv("../input/imet-2019-fgvc6/train.csv")
data=[]
max_lenght=0
id_max_lenght=0
for i in range(len(df)):
img_path=df.iloc[i]["id"]
lb=df.iloc[i]["attribute_ids"].split(' ')
if max_lenght<len(lb):
max_lenght=len(lb)
id_max_lenght=img_path
else:
max_lenght=max_lenght
label=[int(i) for i in lb]
data.append([img_path,label])
data
[['1000483014d91860', [147, 616, 813]], ['1000fe2e667721fe', [51, 616, 734, 813]], ['1001614cb89646ee', [776]], ['10041eb49b297c08', [51, 671, 698, 813, 1092]], ['100501c227f8beea', [13, 404, 492, 903, 1093]], ['10050ed12fbad46d', [189, 279, 774, 800, 1051]], ['100543a032517972', [188, 1034]], ['1006665c0aad488', [1010, 1053]], ['1007057734dba6df', [189, 541, 542, 993]], ['1008abd71f3ed5bc', [70, 776, 794, 813, 1046, 1092]], ['1008c7837081f985', [79, 1062]], ['1009f5737fc77f2', [188, 668, 754]], ['100a0dcde728cb36', [51, 675]], ['100a58282c6584bf', [147, 716, 903, 1092]], ['100b45b7c4020f5d', [161, 489, 704, 1100]], ['100bb499d37d0751', [188, 535]], ['100bbf5e832083d3', [51, 212, 426, 586, 940]], ['100d750286e85bf3', [13, 616]], ['100e1e65a6d7850e', [737, 1009, 1046]], ['100ef61c00e1b5d3', [25, 161, 784, 1059]], ['100efeead4d0f90c', [189, 542, 670, 813, 949, 1092]], ['100f00204964e81d', [147, 189, 418, 742, 1072, 1092]], ['1010af4eeb3f95ee', [194, 480, 483, 485, 813, 1099]], ['1012a188a1fd6166', [13, 813, 896]], ['1014806043fa009', [156, 1084]], ['1014ac8807369589', [103, 180, 573]], ['1014daea6638d09a', [147, 1039]], ['101534933c122e23', [25, 161, 584, 616, 627, 738, 868]], ['1015ddcd27215ca6', [51, 212, 1059]], ['101659003bdb1499', [835, 1059]], ['101690dc24813dc5', [51, 538, 747, 813, 1012, 1092]], ['101695e8cefdc9c4', [13, 813]], ['1016dc1b22073bb3', [156, 543, 753, 961, 1072]], ['10175059b2aabb70', [13, 552]], ['101861e383ec9973', [13, 1013]], ['1018a55fce131346', [156, 228, 1054]], ['101b61e80e554985', [156, 274, 538, 663, 1059]], ['101bedd1744689b2', [51, 339, 492, 961]], ['101c55520bafa9f0', [13, 501, 670, 871]], ['101c8394ff6db02d', [13, 857]], ['101e360e69aeb7b6', [194, 616, 844]], ['101e477104fc2bf7', [13, 668]], ['101eb6f95ea25ab0', [121, 464]], ['101f35d791be34cb', [189, 439, 733, 813]], ['101f3b30264f95bb', [615, 813, 896]], ['101f609f4bfff5e6', [156, 466, 616, 739, 813]], ['1020048f6714ed', [147, 616, 1059, 1092]], ['10217714ab515f45', [121]], ['10219d8d2441fd3c', [18, 63, 161, 331, 1062]], ['1022d46462792863', [131, 420, 477, 671, 768]], ['10233e987552d468', [51, 733, 813, 952]], ['1023eaa2b948cff2', [13, 1056]], ['10245fc5f0c1bc53', [501, 548]], ['10246e16d17d9b85', [13, 978]], ['1024cf6962950d3d', [114, 217, 1061]], ['10260b5ce69150e3', [477, 671, 738, 1059]], ['1026fd05a949a6bf', [304, 465, 774]], ['1027bc2aeca8e1a8', [13, 903, 1092]], ['1027e6c5c8e4c329', [51, 934]], ['1028437b8bc9eeee', [147, 896, 1092]], ['10287ba3d06139e0', [135, 420, 477, 612, 622, 738, 369]], ['102894db9ed6cf3f', [189, 554, 612, 663, 733, 739]], ['1029d2328092ea5d', [147, 671, 780, 950]], ['102a85e0df297631', [111, 813, 1092]], ['102b178fae139a12', [138, 477, 671, 690, 780, 1058, 369]], ['102b312da3240f83', [79, 568]], ['102c9239c03b183', [121, 448]], ['102cb701e5718d70', [147, 639, 1035]], ['102ddf2255055175', [189, 252, 573]], ['102e0b4fbd90fa5d', [335, 730, 757, 1092]], ['10301a06071f5dc8', [13, 744, 929, 1092]], ['10303f46db29089c', [13, 1092]], ['1032b100196dfb0e', [99, 744]], ['1033055830394850', [42, 156, 612, 671, 780]], ['103356cb98f8432d', [51, 732]], ['1033d832fd617e6', [189, 538, 800, 810, 1092]], ['1033e9987c841d5c', [133, 189, 638, 671, 780, 826, 1035]], ['1035395eac69843a', [79, 480, 483, 738, 776, 1099]], ['10357357806fd865', [116, 161, 487]], ['1035b7bb16ac6861', [79, 477, 624, 886]], ['1036067570313a49', [79, 961, 1024]], ['1037596d35059b86', [121, 683, 724, 813, 835, 1092]], ['1037796180daaf55', [13, 663]], ['103a729425811e95', [121, 487]], ['103ac9a11af50a77', [99, 304, 774]], ['103afcfbd66b7564', [189, 813, 949, 1092]], ['103bbdc2619062b3', [684]], ['103bdf3269799137', [99, 718, 813]], ['103c45a513aa6019', [13, 698]], ['103c9d42f39af074', [922]], ['103ea6481627ead1', [51, 483, 975]], ['10407b0ebada4963', [259, 422, 639, 1072]], ['10410b3e487c8d13', [121, 922, 955]], ['1041f41d8742b7da', [1005]], ['1042b8fe16eaefb3', [335, 450, 835]], ['10430f003935ccc2', [304, 487]], ['10440aa9ac074160', [745, 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['10602ff85a021d75', [13, 405, 477, 903, 1092]], ['1060d1d2c5dcbbb1', [289, 587]], ['1060e7d52f2553c6', [188, 485, 813, 1099]], ['1061c7940c7bc80d', [51, 480, 519, 734, 813, 1092]], ['106262d2fca631ca', [105, 111, 671, 1062]], ['106435dcb8cac360', [156, 565, 663, 725, 800, 1046]], ['1064566646e00c3e', [111, 434, 650, 691, 825, 931]], ['10645db40784f008', [581, 796, 813, 941]], ['1064e2f969910edd', [480, 833, 1092]], ['10654a33f45ea1d3', [345, 915, 1059]], ['1066458a03e2306b', [189, 733, 776, 813, 1046]], ['106724ee0d32ffd3', [99, 784]], ['106742b32cf1d094', [348, 745, 1080]], ['1067ade04b904fe4', [485, 813, 949]], ['1067b078ced21d1d', [51, 738, 741]], ['1067ff8364c025a4', [189, 597, 835]], ['106887047a084c8e', [121, 415, 662, 713]], ['106a1554dd1f86c2', [304, 415]], ['106a18ab95fb7790', [147, 283, 513]], ['106b1357e5ee8d8e', [541, 940, 1072]], ['106bd87f14a2b633', [189, 949]], ['106be64b6b99665c', [156, 418, 813]], ['106c48fc5d81b828', [189, 763]], ['106c6d9c186a3b45', [147, 283, 583, 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903]], ['1193e10095ab43b0', [497, 498]], ['11943ea5308c89c4', [516, 677, 813]], ['11951fe0ce1da11b', [13, 580, 813, 833]], ['119603c4404fefc4', [189, 418, 477, 542, 543]], ['1196b7819e6524f5', [121, 724, 955]], ['11972bafc9a994e1', [147, 283, 813, 1020, 1059, 1092]], ['119868f53e164eaa', [239, 464, 681, 840, 991]], ['1199038531d2855d', [308, 486, 568, 813]], ['11990bd9e816160e', [24, 754]], ['11992b3ab2a359e2', [147, 543, 753, 949, 1072]], ['11995a15828930bf', [79, 671, 780, 1062]], ['119961ee221fdba6', [194, 844]], ['11999ab0011f7cdc', [147, 813, 896]], ['119a36e608597689', [671, 1059]], ['119a7ba79144856e', [51, 532]], ['119ce1698c2428ff', [13, 538, 813, 887, 1092]], ['119d71604b1bb1de', [149, 768]], ['119dbee2795ed2c7', [51, 483, 975]], ['119de77668540b73', [189, 418, 541, 579, 813]], ['119e10f3d3a194e0', [436, 369]], ['119e1689d89f04f1', [147, 734, 780, 813]], ['119e1b246b826b41', [79, 671, 780]], ['119f12a06a2c9c24', [156, 479, 733, 739, 813, 1020]], ['119f12c6a3eaf359', [189, 1035]], ['119f8c7e09787c8', [320, 962]], ['11a011ba4afef2bc', [121, 552]], ['11a175af0a59c1a6', [13, 483, 664, 670, 738, 975]], ['11a17be77eddd445', [189, 915]], ['11a1b82a2ece5e9a', [182, 497, 498]], ['11a29bdbf5ccebea', [147, 1062]], ['11a2a83b63163730', [738, 1081]], ['11a392f358dc5a88', [147, 485, 780]], ['11a43c6a7cca5481', [121, 668, 1059]], ['11a446f897b5b46', [51, 671, 780, 1034]], ['11a4532c81714795', [13, 693, 729, 813]], ['11a4b032793ab17a', [121, 884]], ['11a4c9a468b7e385', [147, 485, 671, 999]], ['11a52fdbcc160d03', [147, 485, 671]], ['11a5ba04a1df2ea1', [147, 663, 813, 835]], ['11a6461915a7e0fd', [79, 835]], ['11a6e5103e3b116e', [14, 1056]], ['11a6fa6638760055', [780, 1019, 369]], ['11a82dc8281d4771', [354, 421]], ['11a836db2f9bd0c5', [13, 420]], ['11a94c0e4374f3d0', [189, 492, 813]], ['11a993ecec737946', [1, 582, 1023]], ['11a9ac1a6206a4c8', [79, 624, 1059]], ['11aa2562a3ce4745', [684]], ['11aa30d31a10e2e6', [304, 487]], ['11aa7c34bf5ebccb', [13, 477, 833]], ['11ab01ff120858c', [147, 552, 780]], ['11ab6021b4316ea1', [70, 733, 813]], ['11aba3e0bce23acd', [147, 885]], ['11ac02b9fd96bc7c', [121, 433]], ['11ac77723bbf78a4', [111, 418, 501, 850, 940]], ['11ac8f8a27f042db', [684]], ['11aca7498b4b0e88', [51, 627, 813, 989]], ['11ad28e63881b6f5', [156, 522, 667, 813, 896]], ['11af7699929415c5', [13, 567]], ['11b0d2f61c795871', [304, 718, 1092]], ['11b20b0d7517e950', [127, 552]], ['11b255ec272afa1a', [147, 283, 532, 671]], ['11b462b939f06bb4', [916, 1092]], ['11b4dc7ee2b8e795', [121, 1062]], ['11b61262c19af42f', [99, 744]], ['11b68a73e2a47d40', [121, 718, 836, 961]], ['11b84e8e896db6d7', [121, 415, 703]], ['11b8bd997731ede8', [79, 744]], ['11b966ed0f867b0d', [194, 692, 1092, 1099]], ['11b99bedb2e45b51', [189, 650, 666, 738, 850]], ['11b9b253b15aac63', [51, 462, 733, 813, 993]], ['11bb24eb45cfe7a4', [1, 864]], ['11bb6378a1045093', [259, 409, 796, 813]], ['11bcea0e7d110516', [538, 654, 698, 813, 1092]], ['11bd701a1e45e2fa', [147, 531, 663, 701, 835, 953]], ['11c1c907367ce613', [489]], ['11c1e0f521120852', [189, 252, 813, 832, 954, 1071]], ['11c36f5e4e484140', [116, 161, 487, 1101]], ['11c3ad0d86174cdd', [156, 485]], ['11c432a967ccd29a', [23, 477, 962]], ['11c4891faaaea5c6', [147, 720]], ['11c4cd26c58afcb1', [125, 718, 813, 922, 955]], ['11c5bb2cb1119ee3', [703]], ['11c5d23612de8b73', [1092]], ['11c6a3daba10c16b', [896, 1092]], ['11c6f5b422bbabdb', [105, 111, 612, 671]], ['11c7143510270a1f', [43, 51, 6, 584, 813]], ['11c74dc2f5419a2d', [147, 552]], ['11c7d86de428f4d9', [1, 962]], ['11c830a275f6e15c', [147, 698, 756, 1092]], ['11c8ed6a3802a25f', [147, 322, 813, 1062, 1092]], ['11c969c24f771672', [13, 519]], ['11cac54092afc246', [189, 477, 691, 835, 921]], ['11cae39d1983178d', [189, 809, 1059]], ['11caf3d0a4a34805', [335, 377, 612, 744]], ['11cc9b64741422cd', [23, 813]], ['11cd991e2e638972', [489, 369]], ['11cdf83706c0329', [420, 720, 369]], ['11cebe5f896a2da7', [194, 553, 813]], ['11cee0f49b3bb92e', [194, 844]], ['11d071ea4fba2727', [42, 156, 671, 746, 1045]], ['11d10e5c78d976d7', [79, 1062]], ['11d10f31b7f33ca5', [955, 962]], ['11d2135996dfef4e', [189, 663, 678]], ['11d2362d5d869d2b', [79, 420, 704]], ['11d269a549fd3c6f', [13, 405, 903, 1092]], ['11d373d75ad002b7', [13, 405, 896, 1092]], ['11d4f5e26dff344d', [131, 683, 744, 813]], ['11d57dfd5e05b389', [147, 552]], ['11d591dd44bb2521', [79, 487]], ['11d64c6b41a080de', [189, 612, 800]], ['11d6e03d8c6845e', [292, 552, 671]], ['11d70da7d5172bcd', [156, 487]], ['11d73cf50bc78101', [754, 1092]], ['11d7c30518f2f9bc', [79, 1099]], ['11d815aa8a906d91', [813, 896]], ['11d87fa980835416', [33, 582, 1023]], ['11d886c55918fd38', [79, 487]], ['11d932ca5cb049c1', [1019, 369]], ['11d93931c2839a6c', [147, 951]], ['11d943d008a3a475', [161, 351, 1092]], ['11d947d8446daf14', [121, 433]], ['11d9f399addc3894', [184, 415]], ['11da01408de610d6', [13, 405, 698, 896]], ['11da79801826f2da', [121, 433]], ['11daa41b503b07dc', [121, 724, 955]], ['11dac0a7f79dd39e', [51, 339, 1059, 1092]], ['11db35d22cbdb8d', [194, 698, 744, 1092]], ['11dc74f8d1deb719', [79, 489, 671]], ['11dc972e8d3fc39d', [51, 488, 813, 1059]], ['11dca2a4c72f5946', [79, 420, 813, 1046, 1059]], ['11dd2bf84ec85cd8', [671, 780, 1059]], ['11debb30d45f0dff', [147, 598, 646, 1046]], ['11df2969d5af0d4d', [121, 1039]], ['11df549ccceace2c', [79, 454, 477, 539]], ['11df7e8bdaddb68', [13, 776, 830]], ['11df98a6d2018565', [287, 1045]], ['11dfd7ccc260fcd4', [188, 671, 1034]], ['11dfffb3fc0d2e0', [184, 420, 1059]], ['11e01db89e8ef85b', [194, 1046, 1059]], ['11e0a4f6d6410fb0', [147, 541, 581, 920, 941, 1072]], ['11e0c8e0d600b0c', [194, 506, 745, 886]], ['11e111d2fa5bb659', [51, 552, 671, 768]], ['11e229913e46af41', [79, 671]], ['11e2cf10c5454969', [121, 438]], ['11e318bded909338', [194, 487, 671, 723]], ['11e33324b3a20eb', [147, 434, 585, 685, 747, 821, 1089]], ['11e3793d408f0f65', [189, 813]], ['11e39fa2beda9f40', [13, 698, 896]], ['11e411079c4e683c', [188, 489, 598]], ['11e54f8ae910c81d', [354, 487]], ['11e5aad1f34092f4', [121, 1062]], ['11e5ff64ed44a78f', [156, 889]], ['11e63a1d152086e3', [194, 737, 1059]], ['11e671be73eea67d', [25, 161, 584, 903, 1092]], ['11e6f65d6a1b06d6', [245, 587, 1059, 369]], ['11e7ed01e5a8c3be', [813]], ['11e887f04725a8e5', [13, 1056]], ['11e8f0f49af21c9c', [70, 502, 924, 1046]], ['11e9c75464da0832', [263, 496]], ['11ea315dd114dc73', [156, 813, 903]], ['11eaaa073be3e313', [506, 726, 369]], ['11eafea375958433', [13, 538, 672, 813, 1092]], ['11eb0239160e9798', [29, 896, 943]], ['11eb03b99a96d289', [485, 671, 916, 1062, 1092]], ['11ebaed44de29857', [13, 405, 896, 1092]], ['11ec19f0b7b9f6e2', [121, 434, 724, 813, 1092]], ['11ec7791f177f812', [189, 545, 559, 738, 949, 1082]], ['11ec8ce76a10ab70', [863]], ['11ece5e54c834cf', [121, 1061]], ['11ecfe6c848b6aff', [147, 541, 641]], ['11ed6cd579ecaea8', [51, 536, 821]], ['11ed7c3c6b86bf60', [156, 448, 809, 915, 994]], ['11ee63358c3e187f', [13, 405, 532, 896, 1092]], ['11ef5f982a6d29c2', [156, 896]], ['11ef6f0f8f96d813', [194, 738]], ['11ef835b43e10804', [415]], ['11efd90cb704bdb1', [415, 650]], ['11f0b1b26747a245', [51, 77, 671, 780, 1030]], ['11f0bbf15b20a6b8', [554, 813, 896]], ['11f0d7396f4c7386', [13, 813, 896]], ['11f14cdd732025e7', [308, 733, 813]], ['11f1c286691b270a', [147, 713, 800]], ['11f250647eb98139', [189, 252, 418]], ['11f25a884195d486', [813]], ['11f29f41749a5908', [79, 487]], ['11f40856bed3b8e4', [121, 1026]], ['11f50e19780f84e4', [184, 1059]], ['11f59772e05030df', [99, 671]], ['11f6f58d0213923d', [111, 597, 733, 738]], ['11f7449187c96d08', [586, 369]], ['11f7c844c14f36ef', [147, 555]], ['11f8e7e46efcbbb3', [61, 161, 331, 479, 1059]], ['11f920fe8e5e4dc6', [194, 612]], ['11fa2b43e1424077', [872, 369]], ['11fa9f32e6344158', [156, 579, 703]], ['11fb59156bf24da8', [51, 532]], ['11fbd3505f732d04', [13, 552]], ['11fd08b1f20705bc', [189, 813]], ['11fdfa4062d9cfda', [955, 962]], ['11fe1c93bd7b90c9', [189, 430, 554, 678, 692]], ['11fef6f2e5918c94', [347, 506, 780, 886]], ['11ff233f8044a398', [961, 1092]], ['11ff3fe5e6ed10d8', [121, 433]], ['11ff6eec6e54f81f', [51, 1084]], ['11ff86e74ceb0a95', [411, 813]], ['11ff8d0ca4b6fccf', [259, 543, 580, 753, 813, 993]], ['1200cede6cfe2f53', [194, 506, 671, 780, 1098]], ['12016b17608ad589', [131, 420, 813, 949]], ['1202c5614b9b351b', [304, 896, 1092]], ['1203e8f710050d4b', [304, 489]], ['1204c749cf6e4883', [147, 896, 1092]], ['120692af6546e1b3', [194, 671, 780]], ['1206b7dce2b35f65', [147, 615, 813, 952, 1092]], ['12074c9aa2d905b9', [2, 1061]], ['12079487a26b6509', [127, 1034]], ['1207d754bd632aac', [70, 1046]], ['1208015133628325', [29, 535, 813]], ['1208b3aa536af605', [70, 849, 953]], ['1208fc38cc4f2d4', [813, 896]], ['12094335f87a1ec5', [51, 833]], ['12094f3e5d2abf27', [79, 539, 737, 776, 1046]], ['1209fbce7aa42bb1', [70, 628, 813, 833, 1020, 1092]], ['120a1548ec1b1f85', [189, 436]], ['120a9aede3051fc4', [156, 485, 603, 780]], ['120b1ff5670402b9', [501, 580, 871, 993, 1009]], ['120b405fdffe423d', [51, 76, 650, 671, 780]], ['120b818a869071b3', [13, 405, 896, 1092]], ['120bc376f3e38804', [79, 1039]], ['120c4c2fd8cf6ef9', [51, 124, 339, 734, 1059]], ['120c76942d2ffa34', [13, 670, 825]], ['120c81a0e0bdfbb', [96, 236, 962]], ['120c9694a8e5f209', [147, 510, 764, 813]], ['120d630028b902bc', [304, 487, 607]], ['120e0070809730ef', [194, 404]], ['120f4698f1af422c', [194, 480, 844]], ['120ff444ce4f3a63', [79, 487, 624]], ['12105ec42ac0d5be', [188, 671, 1059]], ['1210be44c322176a', [135, 554, 954, 369]], ['12129ca229ecf4d2', [13, 675]], ['1212b949c33e7cbc', [99, 783]], ['12131eebb2c5117d', [477, 671, 1035]], ['121340f8d25eda07', [51, 212, 477, 489, 554, 991]], ['1214ad77ea9c2743', [26, 156, 436]], ['12154a37d994582c', [194, 950]], ['1215e95313f28c18', [354, 421]], ['121615f1f95fa6c0', [738, 988]], ['1216a9bb3cdc6b1b', [189, 583, 633, 761]], ['121a0c6fa2853f2d', [121]], ['121a9266ffeb65cd', [147, 716]], ['121abcaf6a17fcc7', [99, 304, 434, 744]], ['121b964d05cf2bf0', [25, 161, 744, 847, 1059]], ['121d7d3ed224cd35', [51, 393, 612, 671]], ['121dc0b9c2bb7e6a', [189, 1039]], ['121e502f801d1c7', [158, 1085]], ['121f85bb631ae733', [194, 497, 498, 823, 970]], ['122139809e77a01', [51, 615, 633, 835]], ['1221afa48991e606', [51, 627, 813, 993, 1092]], ['1223c239e4375264', [99, 962]], ['1224c1758e85510d', [147, 889, 1092, 1093]], ['12265be4a51ba3cb', [14, 716]], ['12276f0d3b8e3ecd', [13, 538, 690, 813, 1092]], ['1227db1351d9aaec', [147, 733, 813, 1046]], ['1229a11752bcf3b5', [189, 252, 813]], ['1229bf5d6d98d0ea', [194, 600, 809, 844]], ['122a810ab4fdabc8', [335, 450]], ['122b831cb0015314', [121, 415, 681]], ['122c1019d1a04a43', [194, 494, 733, 737, 992, 1046]], ['122ce10196f4a9e6', [188, 1034]], ['122cfd7c6ef3ecfb', [189, 631]], ['122f58cfd1b06482', [147, 671, 780, 1034]], ['122f9d8b891da65f', [189, 603]], ['122ff1eb6fc64224', [896]], ['12302cb3952cedc', [194, 776, 813, 830]], ['1230a735176e76c4', [13, 818]], ['1230bda1a9ab0ba8', [147, 800, 813, 953, 1099]], ['1230c94c8288aabb', [147, 487]], ['1231147caa7a2b2a', [259, 742, 1059]], ['12313f2b6a2da3d4', [51, 501, 664, 744, 813]], ['12319c821d63e1cb', [13, 626, 892]], ['12328dfcff88fef3', [51, 978]], ...]
print("max_lenght:",max_lenght)
print("id_max_lenght:",id_max_lenght)
max_lenght: 11 id_max_lenght: 88c7e0e377a69d27
def creat_square(in_img,value=0):
img = cv2.imread("../input/imet-2019-fgvc6/train/"+in_img+'.png')
#grey_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
grey_img=img
h, w = grey_img.shape[:2]
edge_square = max(h,w)
ground_square=np.ones(shape=[edge_square,edge_square,3])*value
if h<w:
x1=np.floor((w-h)/2).astype(int)
x2=np.floor((w-h)/2+h).astype(int)
ground_square[x1:x2,:]=grey_img
elif h>w:
x1=np.floor((h-w)/2).astype(int)
x2=np.floor((h-w)/2+w).astype(int)
ground_square[:,x1:x2]=grey_img
else:
ground_square=grey_img
return ground_square.astype(np.uint8)
# convert to gray images and resize to 224x224
def resize(img,x_scale=224,y_scale=224):
img=cv2.resize(img,(x_scale,y_scale))
#data.astype('uint8')
return img
shuffle(data)
data
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1059]], ['1afb0684f45b6ba', [156, 1084]], ['ce604a328b5407e9', [368, 766, 1059]], ['fc3f9f4aed0bde95', [464, 634, 642]], ['296fbc1a98beea4e', [335, 835, 1059]], ['c5091aa9936af2c3', [231, 1039]], ['904a74dec8d6a80f', [147, 477, 503, 583, 644, 663]], ['4747e8a85fc29945', [99, 420, 955, 962]], ['ee9a784905d3a188', [51, 1059]], ['bffc5a354858c4b0', [194, 1092]], ['2b5134d607120eef', [563, 615, 1061, 369]], ['8e3afe69c420cee', [304, 349, 487]], ['66fb32c42cbb0721', [121, 704]], ['6a19658478aed7b9', [147, 492, 616, 698, 780, 1092]], ['7fd4a1e64a504bcf', [13, 552, 607]], ['65a760e2b9ccfc21', [182, 497, 498]], ['fec828d9773b13bb', [559, 931, 1036]], ['c734726a73e33348', [147, 671, 780, 956]], ['91a3662d10237721', [147, 638]], ['6df7531fb0f62d6e', [70, 616, 813, 833, 1092]], ['23a2afa2092669d5', [489]], ['582ed35644db0a1a', [147, 322, 458, 647, 671, 744]], ['937432dac26c4400', [180, 803, 1099]], ['21fc75d8df77df1c', [147, 283, 744, 813, 903]], ['a835ed009dc6a63f', [188, 535, 688]], ['28dfdcb0d6fa24c0', [147, 450, 763]], ['b0803a362566bd94', [51, 106, 591, 592, 813, 1071, 1092]], ['4344c66e2f2a8dbf', [766, 1037]], ['e7ded988988efa8c', [147, 691, 1059]], ['11d269a549fd3c6f', [13, 405, 903, 1092]], ['a4b3dfb3561dd44d', [51, 826, 846, 1040, 1046]], ['b18467306e4b230', [194, 813, 822, 844]], ['d82a29e5b25a3f3', [79, 489, 780, 791]], ['81c67bf08167588', [13, 907]], ['e01397acff21037d', [23, 922]], ['c4aa141597583fbb', [114, 217, 1061]], ['63f3f43bdcfafa94', [79, 489]], ['37115fba72552e6c', [188, 535]], ['7ef6583444ebd993', [304, 489]], ['bba669f72abab2e1', [147, 813, 896, 1097]], ['451d949bad15d81', [79, 639, 835]], ['40e9be64292def9f', [45, 579, 835]], ['989237d6403b4035', [194, 477, 584, 1046]], ['569601da699a5c5', [51, 420, 740, 813, 1076]], ['50c70b82503bbde9', [14, 956]], ['f08d7ececa4131ab', [26, 156, 490]], ['3d5c6bacbc77b3be', [79, 780, 984]], ['b6e866badf5d41f0', [308, 813, 1013]], ['42554b3bff44c92c', [553, 963, 964, 986]], ['f8f5edef28429e65', [147, 430, 825, 1046]], ['8518a87fcb8bc29d', [189, 325, 896, 1059]], ['b8b2c85e041ffd75', [189, 418]], ['bef4c740c3c72234', [188, 776, 813, 1034, 1046]], ['b5e162f380d96e34', [51, 1056]], ['92314a75c71df71', [189, 436]], ['829200d47e07a587', [194, 485, 835, 886, 1092]], ['44ac253c5ebde74f', [1059, 369]], ['18261bfbc5979c91', [189, 1034]], ['e4249398010ce1c1', [79, 744, 776, 923]], ['3066c9f5ead3b815', [147, 631, 952, 1092]], ['77939408d4cba601', [738, 968]], ['8e1d2f62eff90376', [259, 993, 1084]], ['67b0823ebc3de805', [79, 415, 546]], ['8b8fba9567fee2b8', [156, 216, 584, 671, 954]], ['195fecb46f7e1a21', [698]], ['27b42ae58bc7c595', [147, 821]], ['61b0f36c243cc62a', [335, 1065]], ['ce861d21e27056f8', [189, 800]], ['a5624a9e79fbec7a', [194, 671, 1059]], ['a3842965855ea7cb', [483, 494]], ['c7e8b9c7d6cf4791', [553, 986]], ['dbd9fa10d3c9aa2b', [189, 738, 776, 1038, 1046]], ['32667bb4007dfb78', [655, 813, 835, 1092, 369]], ['ba7c20e3ccb5aeba', [121, 724, 955]], ['4d9869dd0006c7b7', [156, 733, 753, 813, 947]], ['eae56c9224c3a382', [541, 542, 813, 949, 1092]], ['2f726540d75c0456', [156, 420, 733, 813, 835]], ['43bff99da063f88c', [147, 783, 813, 1092]], ['b38fe4faf6dda696', [189, 1035, 369]], ['cf56e8dba2674e21', [147, 552, 671]], ['46f045b04c75bf5d', [13, 813, 966]], ['2a52c1f09cdcf984', [121, 433]], ['5917aa0c593d9769', [189, 485, 607, 695]], ['32c208e2f9b270aa', [25, 161, 404]], ['a114813a96729257', [44, 161, 655, 961, 1092]], ['79432981a4d6e91c', [79, 584]], ['99f31e8a4d3ec3a6', [147, 785, 813, 969]], ['fe026bac161b0d4d', [194, 483, 813, 975, 1092, 1099]], ['6a7faece91eec99e', [125, 721, 922]], ['5a49fceb8bd924a0', [147, 680]], ['1273d7a53ed01291', [304, 464, 840]], ['8f93eb0d570c83a9', [25, 161, 718]], ['9ba280e587864569', [1061, 1099, 369]], ['6101a082048e8a5b', [121, 962]], ['83cb4e3f1ce696bc', [156, 394, 671, 780, 1035]], ['7ec39ac8f15dc766', [304, 487]], ['394427ccda4d7d0a', [188, 647]], ['774175eea0d048b7', [147, 676]], ['cea3ae65f1edef32', [147, 492, 887, 903]], ['718c5cdf5b2331d7', [58, 558, 896]], ['417e720854252e36', [13, 487, 813]], ['afc8f004e96e5c16', [559, 1032]], ['f607b7fd124fe7e2', [79, 454, 477, 923]], ['37af3946aaa0cc6c', [121, 718, 813, 961]], ['9ffe23c7153f305b', [13, 405, 903, 1092]], ['881ff0ec9b45043a', [156, 420, 485]], ['513d6dfb2864c485', [125, 1062]], ['6d7ea254fae0e059', [51, 501, 598, 744, 950, 1046]], ['8a39fd7857bedccc', [111, 430, 559, 733, 931]], ['cab69c22a6f526bc', [189, 252, 418]], ['c2d20fee26e88bc', [13, 552]], ['52e7b17c21890601', [147, 742, 813]], ['86c28108f321b131', [189, 485, 607]], ['cc031300783f7623', [726, 780, 369]], ['9933ad95e2761a78', [131, 647, 746]], ['e3b430c2b57da91f', [121, 432, 724]], ['7842f08b0362e4ca', [79, 671, 1059]], ['dbf2e4c063bf1bc', [182, 634]], ['981180d86d325103', [121, 433]], ['2c10f9bde7ee1ec3', [70, 533, 949, 1092]], ['b155b1b45474625c', [79, 639, 878]], ['6680d720294ccbdb', [121, 1035]], ['260be7e46832059f', [194, 637, 698, 921, 1092, 1099]], ['84c9ca346cfebb64', [51, 477, 835, 1092]], ['ddb9dee481d4e0c4', [29, 434]], ['4137667cdcb008de', [13, 626, 862]], ['3508e94100c1248', [147, 749, 862]], ['d052b96316988b95', [51, 570, 813, 933, 1092]], ['d278bb1ceaf10c7b', [111, 738, 1081]], ['bfb9901ba65b0189', [111, 586]], ['197adb5d8bf64a41', [99, 1059]], ['42913d3b4e279d74', [13, 405, 616, 896, 1092]], ['93bae8071d4d04', [51, 532]], ['ec1c808899dab62b', [189, 597, 1001]], ['6edaf88f72f8ffb5', [194, 1034]], ['25caf3ff1e2be9e0', [189, 553, 776, 835]], ['890d97aa0e2a2821', [13, 746]], ['54b1f0a39be068b2', [111, 813, 1084]], ['da53803a31fe97b1', [65, 517]], ['83bd2a0091517e4b', [189, 720]], ['c719f4fc9701f96d', [13, 552, 666, 1092]], ['aca869bda33400dd', [189, 738, 744, 833]], ['79c9b6c85343b732', [650]], ['e47ced5529e72552', [111, 466, 679, 1046]], ['1aced5e0aa6fb9c5', [872]], ['1801009b4727f014', [189, 554]], ['9d18db5e8df53b9f', [189, 420, 738, 833]], ['cd14f8364deff524', [189, 597]], ['abfcf884f1927ce8', [121, 420]], ['9c6f7f62fef3d351', [282, 487]], ['54607b9e2a0a2281', [147, 426, 542, 581]], ['d9c1c22a02b41a1f', [51, 400]], ['e35561ffa3c38ce', [494]], ['c11a92c32ad8be7d', [194, 506, 671, 1099]], ['b2930deaa0565cb5', [13, 552]], ['bd955fb7970a520b', [147, 537, 633, 650, 915]], ['449d955e21760ec', [121, 1059]], ['cc496df15c95c40b', [501, 813, 1046, 1092]], ['a13e09188c93252d', [147, 425, 680, 1092]], ['b5802d6e35d3c89', [335, 533]], ['d55978ce9cc6d0e6', [70, 620, 813, 993, 1046]], ['570fbaf0cecc2d99', [13, 927]], ['a7d213488257cda2', [335, 1035]], ['ea663e6efd27a557', [147, 655, 780]], ['3ed8e2d2a23d0ea7', [147, 283, 518, 671, 780]], ['6b5d27b8ecdb884a', [13, 870]], ['ae10c85758d16f7c', [188, 598, 813, 1046, 1055, 1099]], ['bd5f6b0d8d258d0e', [1059]], ['b1b844ddff15775b', [156, 227, 616, 813, 968, 1092]], ['b89cdb5cf2e50377', [79, 872]], ['1f6527d945469d19', [99, 754, 784]], ['b5d9cb0ca2d34f23', [51, 1059]], ['5ba6ef27f890567a', [29, 813, 916]], ['acb0e557eaf062e4', [13, 405, 896, 1092]], ['51b1d460ed9b7f36', [121, 872]], ['3d150321343cef35', [13, 405, 698, 896]], ['3bd0fb6faafa2e5e', [819]], ['d4dba6af8a53743b', [294, 739, 903, 1046, 1092]], ['a5fbe50e229f91dd', [263, 420]], ['3f80dd9fc7f27de2', [304, 511, 640, 701]], ['b603aa5d56276769', [217, 433]], ['d109dc8790c6aa60', [79, 1039]], ['d6eeca64e6caa784', [538, 734, 813, 1092]], ['dd3df4088e028f08', [579, 369]], ['335eb605a85def82', [156, 554, 974]], ['d5a4179ed99cacc', [13, 1070]], ['8d12799aa9497608', [313, 962]], ['4e96cba8b8d63f0d', [147, 430, 434]], ['f69e0256483ba081', [161, 864]], ['efac90667a953cbc', [13, 696, 744, 903]], ['30875fa1f80b0e57', [189, 734, 1092, 369]], ['99eee002c5e652ff', [259, 542, 553, 776, 813, 949]], ['145fcc1f6cc0ba03', [768, 369]], ['4f5fe4f44438817d', [147, 627, 813, 1090]], ['3361b5a508f15ddb', [147, 484]], ['99300116b899a3ac', [51, 592, 813, 1092]], ['9eaef74c45cd3dd3', [1059]], ['7d2adc0ff6c912f9', [282, 487]], ['9b503959aa2de148', [147, 283, 532]], ['b796598cfe0bd988', [147, 626]], ['851c0f05b7205ce5', [99, 718, 813, 1096]], ['34a281eb6669666d', [194, 489, 780]], ['2d06267278261d9', [51, 551, 813, 1092]], ['b7bf52a96cc2c5aa', [55, 131, 477, 682, 709, 813, 1025, 1092]], ['54c21176129673f1', [1019, 1083, 369]], ['9e291a3b68da6abf', [189, 418, 430, 692]], ['561b51dec5a1dbeb', [121, 432]], ['3adb5367ddabf324', [79, 671, 1059]], ['bd5fa0de4946cdc1', [63, 1059]], ['ac435dd34ad3d380', [194, 519, 813, 830, 1046, 1092]], ['5e06b6547b99f964', [1, 754, 784]], ['39c7468bd49aa523', [194, 468, 524, 698]], ['f0f3b59fbb9a7a5d', [127, 552, 671]], ['c2b568261bab5d03', [189, 780, 1069]], ['669c60c1138e364b', [147, 283, 638, 671, 1059]], ['5ba461a1d791a403', [51, 615, 692]], ['40c0a5f5ec76d3c5', [13, 477]], ['42dadb012ad342e3', [194, 506, 745, 1099]], ['5ab10fef8ab54272', [236, 766]], ['796b18f9db612bbc', [13, 896, 1092]], ['fcd9443178d9cd00', [188, 671, 813]], ['1e45e68892d0ae63', [13, 568, 896, 1092]], ['5d62bfd804242892', [13, 813]], ['3e4548c8dec45b2e', [13, 430, 559, 621]], ['f27ffb7e8c65f07f', [51, 813, 1020, 1092]], ['bfb7fa5de0e96d61', [744, 780, 1059]], ['5a2dc91c0d196bd3', [182, 835]], ['47902f2cb868bcba', [121, 715, 724, 764]], ['725c8412e17ac695', [13, 668]], ['c98041366eb4ab57', [161, 688]], ['2dbab6645b6f43d2', [194, 469, 671, 780]], ['6b96c1f60fc139cf', [111, 628]], ['858764a8e51a887b', [51, 212, 515]], ['4ce4958f1812b511', [147, 283, 896, 1059, 1092]], ['a1d70f3f07e21277', [70, 413, 835, 858, 949]], ['d8c4d548d244029b', [147, 616, 747, 813, 882, 1092]], ['3daef5d36a7bc340', [231, 813, 1092]], ['9bba5e921bd735a9', [41, 671, 1054]], ['9fc53ca74cd0edba', [147, 784, 967]], ['94ede68d7715885a', [813, 896]], ['55bdd3786a266c42', [231, 1039]], ['f773b103a5821dd2', [147, 813, 1092]], ['78c6cce160433c6c', [121, 1059]], ['216bbd4664f72a37', [1092]], ['25f1b9996e61f3c0', [25, 161, 1062, 1092]], ['38f6ef4809910938', [189, 485, 780, 1101]], ['f007b8d1b5c7c432', [180, 703, 704, 728, 767, 791]], ['1e0b1be18a2e7d47', [147, 562, 813]], ['a35071b8f88bd3e4', [79, 776, 813, 1046]], ['a9d7cdf03a1232d8', [813, 896]], ['ed6bff1d677760fe', [147, 1062]], ['9a671a0490d45d90', [79, 1059]], ['d959afa0afed0743', [79, 1092]], ['f3faf3e21c82ef7', [147, 477, 800]], ['6f62f59db59c1947', [202, 671, 1034]], ['d7dfa221b05d8b13', [308, 338, 671, 737, 744, 1046, 1059]], ['fd08544953771cef', [45, 477, 663, 835, 1046, 1064]], ['b8020ee70c4f1d6c', [194, 624, 1092]], ['253800450f294a70', [13, 405, 896, 1092]], ['16a7a2720f82aafa', [147, 477, 520, 554]], ['aaba3687df529fc2', [13, 405, 896, 1092]], ['510fc5afd7ba5e9c', [13, 552]], ['847b16be5a05b769', [189, 1032]], ['6f09bb2fb98d8b4e', [51, 212, 515]], ['f53e7996a18319b', [420, 597, 671, 369]], ['6bd3b1cde3a0eb6c', [13, 477]], ['77f37d27a6153244', [188, 420, 489, 650]], ['b42459605ee7861d', [121, 477, 506]], ['e4af86bd26f76fd9', [189, 718, 813, 953, 1092]], ['82a197dc82a178a', [121, 1039]], ['9686acf7205d7782', [13, 1059]], ['de9927c030bf5703', [348, 616, 813]], ['5f28d31a31f1125e', [70, 690, 738, 1046]], ['2e601d0d2e02adc6', [156, 227, 616, 961]], ['4ad38ef0196fdd2', [147, 494, 545, 737, 830, 924]], ['b262f3a29124106e', [147, 283, 586, 835]], ['df07a14aba26356d', [13, 670, 746]], ...]
data_trainning=data[:int(len(data)*70/100)]
data_val=data[int(len(data)*70/100):]
#data_test=data[int(len(data)*85/100):]
print("training:",np.array(data_trainning).shape)
print("validation:",np.array(data_val).shape)
#print("test:",np.array(data_test).shape)
training: (76465, 2) validation: (32772, 2)
from keras.preprocessing.image import ImageDataGenerator
Using TensorFlow backend.
# construct the training image generator for data augmentation
aug = ImageDataGenerator(horizontal_flip=False,
rotation_range=90,
brightness_range=(0.5,1.3),
fill_mode="nearest")
# categorical label
def categorical_label(arr):
lb=np.zeros(1103)
for i in arr:
lb[i]=1
return lb
def generator(data_txt,batchsize=32,augmentation=False):
#map_name=list(zip(list_image,list_label))
shuffle_data=True
if shuffle_data:
shuffle(data_txt)
#list_image, list_label = zip(*map_name)
n = len(data_txt)
i = 0
while True:
if i==0:
shuffle(data_txt)
X_train=[]
Y_train=[]
for b in range(batchsize):
img_path=data_txt[i][0]
#print(img_path)
img=creat_square(img_path)
img=resize(img,224,224)
#img=img.reshape(224,224,1)
label=categorical_label(data_txt[i][1])
X_train.append(img)
Y_train.append(label)
i = (i+1) % n
if augmentation is True:
(images, labels) = next(aug.flow(np.array(X_train),Y_train, batch_size=batchsize))
else:
images=X_train
labels=Y_train
images=np.array(images)
labels=np.array(labels)
images = images.astype('float32')
labels = labels.astype('float32')
images = images/255
#print("X_train:",X_train.shape)
yield (images,labels)
from matplotlib import pyplot
a,b=next(generator(data,10,augmentation=True))
for i in range(0, 9):
pyplot.subplot(330 + 1 + i)
pyplot.imshow(a[i], cmap=pyplot.get_cmap('gray'))
pyplot.show()
from matplotlib import pyplot
a,b=next(generator(data,10,augmentation=False))
for i in range(0, 9):
pyplot.subplot(330 + 1 + i)
pyplot.imshow(a[i], cmap=pyplot.get_cmap('gray'))
pyplot.show()
import keras
from keras.models import Sequential
from keras_preprocessing.image import ImageDataGenerator
from keras.layers import Dense, Activation, Flatten, Dropout, BatchNormalization
from keras.layers import Conv2D, MaxPooling2D,ZeroPadding2D,add,GlobalAveragePooling2D
from keras import regularizers, optimizers
from keras import applications
from keras.models import Model,load_model
from keras.optimizers import RMSprop,Adam,SGD
from keras.callbacks import ModelCheckpoint,ReduceLROnPlateau, EarlyStopping
from keras.callbacks import TensorBoard
from keras import backend as K
import tensorflow as tf
def creat_model():
base_model=applications.ResNet50(weights=None,include_top=False,input_shape=(224, 224, 3))
base_model.load_weights("../input/pretrain/resnet50_weights_tf_dim_ordering_tf_kernels_notop.h5")
out = base_model.output
out = Dropout(0.5)(out)
out = BatchNormalization()(out)
out = GlobalAveragePooling2D()(out)
out = BatchNormalization()(out)
out = Dropout(0.5)(out)
out = BatchNormalization()(out)
predictions = Dense(1103, activation= 'sigmoid')(out)
custom_model = Model(inputs = base_model.input, outputs = predictions)
return custom_model
model=creat_model()
WARNING:tensorflow:From /opt/conda/lib/python3.6/site-packages/tensorflow/python/framework/op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version. Instructions for updating: Colocations handled automatically by placer.
/opt/conda/lib/python3.6/site-packages/keras_applications/resnet50.py:265: UserWarning: The output shape of `ResNet50(include_top=False)` has been changed since Keras 2.2.0. warnings.warn('The output shape of `ResNet50(include_top=False)` '
WARNING:tensorflow:From /opt/conda/lib/python3.6/site-packages/keras/backend/tensorflow_backend.py:3445: calling dropout (from tensorflow.python.ops.nn_ops) with keep_prob is deprecated and will be removed in a future version. Instructions for updating: Please use `rate` instead of `keep_prob`. Rate should be set to `rate = 1 - keep_prob`.
model.summary()
__________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) (None, 224, 224, 3) 0 __________________________________________________________________________________________________ conv1_pad (ZeroPadding2D) (None, 230, 230, 3) 0 input_1[0][0] __________________________________________________________________________________________________ conv1 (Conv2D) (None, 112, 112, 64) 9472 conv1_pad[0][0] __________________________________________________________________________________________________ bn_conv1 (BatchNormalization) (None, 112, 112, 64) 256 conv1[0][0] __________________________________________________________________________________________________ activation_1 (Activation) (None, 112, 112, 64) 0 bn_conv1[0][0] __________________________________________________________________________________________________ pool1_pad (ZeroPadding2D) (None, 114, 114, 64) 0 activation_1[0][0] __________________________________________________________________________________________________ max_pooling2d_1 (MaxPooling2D) (None, 56, 56, 64) 0 pool1_pad[0][0] __________________________________________________________________________________________________ res2a_branch2a (Conv2D) (None, 56, 56, 64) 4160 max_pooling2d_1[0][0] __________________________________________________________________________________________________ bn2a_branch2a (BatchNormalizati (None, 56, 56, 64) 256 res2a_branch2a[0][0] __________________________________________________________________________________________________ activation_2 (Activation) (None, 56, 56, 64) 0 bn2a_branch2a[0][0] __________________________________________________________________________________________________ res2a_branch2b (Conv2D) (None, 56, 56, 64) 36928 activation_2[0][0] __________________________________________________________________________________________________ bn2a_branch2b (BatchNormalizati (None, 56, 56, 64) 256 res2a_branch2b[0][0] __________________________________________________________________________________________________ activation_3 (Activation) (None, 56, 56, 64) 0 bn2a_branch2b[0][0] __________________________________________________________________________________________________ res2a_branch2c (Conv2D) (None, 56, 56, 256) 16640 activation_3[0][0] __________________________________________________________________________________________________ res2a_branch1 (Conv2D) (None, 56, 56, 256) 16640 max_pooling2d_1[0][0] __________________________________________________________________________________________________ bn2a_branch2c (BatchNormalizati (None, 56, 56, 256) 1024 res2a_branch2c[0][0] __________________________________________________________________________________________________ bn2a_branch1 (BatchNormalizatio (None, 56, 56, 256) 1024 res2a_branch1[0][0] __________________________________________________________________________________________________ add_1 (Add) (None, 56, 56, 256) 0 bn2a_branch2c[0][0] bn2a_branch1[0][0] __________________________________________________________________________________________________ activation_4 (Activation) (None, 56, 56, 256) 0 add_1[0][0] __________________________________________________________________________________________________ res2b_branch2a (Conv2D) (None, 56, 56, 64) 16448 activation_4[0][0] __________________________________________________________________________________________________ bn2b_branch2a (BatchNormalizati (None, 56, 56, 64) 256 res2b_branch2a[0][0] __________________________________________________________________________________________________ activation_5 (Activation) (None, 56, 56, 64) 0 bn2b_branch2a[0][0] __________________________________________________________________________________________________ res2b_branch2b (Conv2D) (None, 56, 56, 64) 36928 activation_5[0][0] __________________________________________________________________________________________________ bn2b_branch2b (BatchNormalizati (None, 56, 56, 64) 256 res2b_branch2b[0][0] __________________________________________________________________________________________________ activation_6 (Activation) (None, 56, 56, 64) 0 bn2b_branch2b[0][0] __________________________________________________________________________________________________ res2b_branch2c (Conv2D) (None, 56, 56, 256) 16640 activation_6[0][0] __________________________________________________________________________________________________ bn2b_branch2c (BatchNormalizati (None, 56, 56, 256) 1024 res2b_branch2c[0][0] __________________________________________________________________________________________________ add_2 (Add) (None, 56, 56, 256) 0 bn2b_branch2c[0][0] activation_4[0][0] __________________________________________________________________________________________________ activation_7 (Activation) (None, 56, 56, 256) 0 add_2[0][0] __________________________________________________________________________________________________ res2c_branch2a (Conv2D) (None, 56, 56, 64) 16448 activation_7[0][0] __________________________________________________________________________________________________ bn2c_branch2a (BatchNormalizati (None, 56, 56, 64) 256 res2c_branch2a[0][0] __________________________________________________________________________________________________ activation_8 (Activation) (None, 56, 56, 64) 0 bn2c_branch2a[0][0] __________________________________________________________________________________________________ res2c_branch2b (Conv2D) (None, 56, 56, 64) 36928 activation_8[0][0] __________________________________________________________________________________________________ bn2c_branch2b (BatchNormalizati (None, 56, 56, 64) 256 res2c_branch2b[0][0] __________________________________________________________________________________________________ activation_9 (Activation) (None, 56, 56, 64) 0 bn2c_branch2b[0][0] __________________________________________________________________________________________________ res2c_branch2c (Conv2D) (None, 56, 56, 256) 16640 activation_9[0][0] __________________________________________________________________________________________________ bn2c_branch2c (BatchNormalizati (None, 56, 56, 256) 1024 res2c_branch2c[0][0] __________________________________________________________________________________________________ add_3 (Add) (None, 56, 56, 256) 0 bn2c_branch2c[0][0] activation_7[0][0] __________________________________________________________________________________________________ activation_10 (Activation) (None, 56, 56, 256) 0 add_3[0][0] __________________________________________________________________________________________________ res3a_branch2a (Conv2D) (None, 28, 28, 128) 32896 activation_10[0][0] __________________________________________________________________________________________________ bn3a_branch2a (BatchNormalizati (None, 28, 28, 128) 512 res3a_branch2a[0][0] __________________________________________________________________________________________________ activation_11 (Activation) (None, 28, 28, 128) 0 bn3a_branch2a[0][0] __________________________________________________________________________________________________ res3a_branch2b (Conv2D) (None, 28, 28, 128) 147584 activation_11[0][0] __________________________________________________________________________________________________ bn3a_branch2b (BatchNormalizati (None, 28, 28, 128) 512 res3a_branch2b[0][0] __________________________________________________________________________________________________ activation_12 (Activation) (None, 28, 28, 128) 0 bn3a_branch2b[0][0] __________________________________________________________________________________________________ res3a_branch2c (Conv2D) (None, 28, 28, 512) 66048 activation_12[0][0] __________________________________________________________________________________________________ res3a_branch1 (Conv2D) (None, 28, 28, 512) 131584 activation_10[0][0] __________________________________________________________________________________________________ bn3a_branch2c (BatchNormalizati (None, 28, 28, 512) 2048 res3a_branch2c[0][0] __________________________________________________________________________________________________ bn3a_branch1 (BatchNormalizatio (None, 28, 28, 512) 2048 res3a_branch1[0][0] __________________________________________________________________________________________________ add_4 (Add) (None, 28, 28, 512) 0 bn3a_branch2c[0][0] bn3a_branch1[0][0] __________________________________________________________________________________________________ activation_13 (Activation) (None, 28, 28, 512) 0 add_4[0][0] __________________________________________________________________________________________________ res3b_branch2a (Conv2D) (None, 28, 28, 128) 65664 activation_13[0][0] __________________________________________________________________________________________________ bn3b_branch2a (BatchNormalizati (None, 28, 28, 128) 512 res3b_branch2a[0][0] __________________________________________________________________________________________________ activation_14 (Activation) (None, 28, 28, 128) 0 bn3b_branch2a[0][0] __________________________________________________________________________________________________ res3b_branch2b (Conv2D) (None, 28, 28, 128) 147584 activation_14[0][0] __________________________________________________________________________________________________ bn3b_branch2b (BatchNormalizati (None, 28, 28, 128) 512 res3b_branch2b[0][0] __________________________________________________________________________________________________ activation_15 (Activation) (None, 28, 28, 128) 0 bn3b_branch2b[0][0] __________________________________________________________________________________________________ res3b_branch2c (Conv2D) (None, 28, 28, 512) 66048 activation_15[0][0] __________________________________________________________________________________________________ bn3b_branch2c (BatchNormalizati (None, 28, 28, 512) 2048 res3b_branch2c[0][0] __________________________________________________________________________________________________ add_5 (Add) (None, 28, 28, 512) 0 bn3b_branch2c[0][0] activation_13[0][0] __________________________________________________________________________________________________ activation_16 (Activation) (None, 28, 28, 512) 0 add_5[0][0] __________________________________________________________________________________________________ res3c_branch2a (Conv2D) (None, 28, 28, 128) 65664 activation_16[0][0] __________________________________________________________________________________________________ bn3c_branch2a (BatchNormalizati (None, 28, 28, 128) 512 res3c_branch2a[0][0] __________________________________________________________________________________________________ activation_17 (Activation) (None, 28, 28, 128) 0 bn3c_branch2a[0][0] __________________________________________________________________________________________________ res3c_branch2b (Conv2D) (None, 28, 28, 128) 147584 activation_17[0][0] __________________________________________________________________________________________________ bn3c_branch2b (BatchNormalizati (None, 28, 28, 128) 512 res3c_branch2b[0][0] __________________________________________________________________________________________________ activation_18 (Activation) (None, 28, 28, 128) 0 bn3c_branch2b[0][0] __________________________________________________________________________________________________ res3c_branch2c (Conv2D) (None, 28, 28, 512) 66048 activation_18[0][0] __________________________________________________________________________________________________ bn3c_branch2c (BatchNormalizati (None, 28, 28, 512) 2048 res3c_branch2c[0][0] __________________________________________________________________________________________________ add_6 (Add) (None, 28, 28, 512) 0 bn3c_branch2c[0][0] activation_16[0][0] __________________________________________________________________________________________________ activation_19 (Activation) (None, 28, 28, 512) 0 add_6[0][0] __________________________________________________________________________________________________ res3d_branch2a (Conv2D) (None, 28, 28, 128) 65664 activation_19[0][0] __________________________________________________________________________________________________ bn3d_branch2a (BatchNormalizati (None, 28, 28, 128) 512 res3d_branch2a[0][0] __________________________________________________________________________________________________ activation_20 (Activation) (None, 28, 28, 128) 0 bn3d_branch2a[0][0] __________________________________________________________________________________________________ res3d_branch2b (Conv2D) (None, 28, 28, 128) 147584 activation_20[0][0] __________________________________________________________________________________________________ bn3d_branch2b (BatchNormalizati (None, 28, 28, 128) 512 res3d_branch2b[0][0] __________________________________________________________________________________________________ activation_21 (Activation) (None, 28, 28, 128) 0 bn3d_branch2b[0][0] __________________________________________________________________________________________________ res3d_branch2c (Conv2D) (None, 28, 28, 512) 66048 activation_21[0][0] __________________________________________________________________________________________________ bn3d_branch2c (BatchNormalizati (None, 28, 28, 512) 2048 res3d_branch2c[0][0] __________________________________________________________________________________________________ add_7 (Add) (None, 28, 28, 512) 0 bn3d_branch2c[0][0] activation_19[0][0] __________________________________________________________________________________________________ activation_22 (Activation) (None, 28, 28, 512) 0 add_7[0][0] __________________________________________________________________________________________________ res4a_branch2a (Conv2D) (None, 14, 14, 256) 131328 activation_22[0][0] __________________________________________________________________________________________________ bn4a_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4a_branch2a[0][0] __________________________________________________________________________________________________ activation_23 (Activation) (None, 14, 14, 256) 0 bn4a_branch2a[0][0] __________________________________________________________________________________________________ res4a_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_23[0][0] __________________________________________________________________________________________________ bn4a_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4a_branch2b[0][0] __________________________________________________________________________________________________ activation_24 (Activation) (None, 14, 14, 256) 0 bn4a_branch2b[0][0] __________________________________________________________________________________________________ res4a_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_24[0][0] __________________________________________________________________________________________________ res4a_branch1 (Conv2D) (None, 14, 14, 1024) 525312 activation_22[0][0] __________________________________________________________________________________________________ bn4a_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4a_branch2c[0][0] __________________________________________________________________________________________________ bn4a_branch1 (BatchNormalizatio (None, 14, 14, 1024) 4096 res4a_branch1[0][0] __________________________________________________________________________________________________ add_8 (Add) (None, 14, 14, 1024) 0 bn4a_branch2c[0][0] bn4a_branch1[0][0] __________________________________________________________________________________________________ activation_25 (Activation) (None, 14, 14, 1024) 0 add_8[0][0] __________________________________________________________________________________________________ res4b_branch2a (Conv2D) (None, 14, 14, 256) 262400 activation_25[0][0] __________________________________________________________________________________________________ bn4b_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4b_branch2a[0][0] __________________________________________________________________________________________________ activation_26 (Activation) (None, 14, 14, 256) 0 bn4b_branch2a[0][0] __________________________________________________________________________________________________ res4b_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_26[0][0] __________________________________________________________________________________________________ bn4b_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4b_branch2b[0][0] __________________________________________________________________________________________________ activation_27 (Activation) (None, 14, 14, 256) 0 bn4b_branch2b[0][0] __________________________________________________________________________________________________ res4b_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_27[0][0] __________________________________________________________________________________________________ bn4b_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4b_branch2c[0][0] __________________________________________________________________________________________________ add_9 (Add) (None, 14, 14, 1024) 0 bn4b_branch2c[0][0] activation_25[0][0] __________________________________________________________________________________________________ activation_28 (Activation) (None, 14, 14, 1024) 0 add_9[0][0] __________________________________________________________________________________________________ res4c_branch2a (Conv2D) (None, 14, 14, 256) 262400 activation_28[0][0] __________________________________________________________________________________________________ bn4c_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4c_branch2a[0][0] __________________________________________________________________________________________________ activation_29 (Activation) (None, 14, 14, 256) 0 bn4c_branch2a[0][0] __________________________________________________________________________________________________ res4c_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_29[0][0] __________________________________________________________________________________________________ bn4c_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4c_branch2b[0][0] __________________________________________________________________________________________________ activation_30 (Activation) (None, 14, 14, 256) 0 bn4c_branch2b[0][0] __________________________________________________________________________________________________ res4c_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_30[0][0] __________________________________________________________________________________________________ bn4c_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4c_branch2c[0][0] __________________________________________________________________________________________________ add_10 (Add) (None, 14, 14, 1024) 0 bn4c_branch2c[0][0] activation_28[0][0] __________________________________________________________________________________________________ activation_31 (Activation) (None, 14, 14, 1024) 0 add_10[0][0] __________________________________________________________________________________________________ res4d_branch2a (Conv2D) (None, 14, 14, 256) 262400 activation_31[0][0] __________________________________________________________________________________________________ bn4d_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4d_branch2a[0][0] __________________________________________________________________________________________________ activation_32 (Activation) (None, 14, 14, 256) 0 bn4d_branch2a[0][0] __________________________________________________________________________________________________ res4d_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_32[0][0] __________________________________________________________________________________________________ bn4d_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4d_branch2b[0][0] __________________________________________________________________________________________________ activation_33 (Activation) (None, 14, 14, 256) 0 bn4d_branch2b[0][0] __________________________________________________________________________________________________ res4d_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_33[0][0] __________________________________________________________________________________________________ bn4d_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4d_branch2c[0][0] __________________________________________________________________________________________________ add_11 (Add) (None, 14, 14, 1024) 0 bn4d_branch2c[0][0] activation_31[0][0] __________________________________________________________________________________________________ activation_34 (Activation) (None, 14, 14, 1024) 0 add_11[0][0] __________________________________________________________________________________________________ res4e_branch2a (Conv2D) (None, 14, 14, 256) 262400 activation_34[0][0] __________________________________________________________________________________________________ bn4e_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4e_branch2a[0][0] __________________________________________________________________________________________________ activation_35 (Activation) (None, 14, 14, 256) 0 bn4e_branch2a[0][0] __________________________________________________________________________________________________ res4e_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_35[0][0] __________________________________________________________________________________________________ bn4e_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4e_branch2b[0][0] __________________________________________________________________________________________________ activation_36 (Activation) (None, 14, 14, 256) 0 bn4e_branch2b[0][0] __________________________________________________________________________________________________ res4e_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_36[0][0] __________________________________________________________________________________________________ bn4e_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4e_branch2c[0][0] __________________________________________________________________________________________________ add_12 (Add) (None, 14, 14, 1024) 0 bn4e_branch2c[0][0] activation_34[0][0] __________________________________________________________________________________________________ activation_37 (Activation) (None, 14, 14, 1024) 0 add_12[0][0] __________________________________________________________________________________________________ res4f_branch2a (Conv2D) (None, 14, 14, 256) 262400 activation_37[0][0] __________________________________________________________________________________________________ bn4f_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4f_branch2a[0][0] __________________________________________________________________________________________________ activation_38 (Activation) (None, 14, 14, 256) 0 bn4f_branch2a[0][0] __________________________________________________________________________________________________ res4f_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_38[0][0] __________________________________________________________________________________________________ bn4f_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4f_branch2b[0][0] __________________________________________________________________________________________________ activation_39 (Activation) (None, 14, 14, 256) 0 bn4f_branch2b[0][0] __________________________________________________________________________________________________ res4f_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_39[0][0] __________________________________________________________________________________________________ bn4f_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4f_branch2c[0][0] __________________________________________________________________________________________________ add_13 (Add) (None, 14, 14, 1024) 0 bn4f_branch2c[0][0] activation_37[0][0] __________________________________________________________________________________________________ activation_40 (Activation) (None, 14, 14, 1024) 0 add_13[0][0] __________________________________________________________________________________________________ res5a_branch2a (Conv2D) (None, 7, 7, 512) 524800 activation_40[0][0] __________________________________________________________________________________________________ bn5a_branch2a (BatchNormalizati (None, 7, 7, 512) 2048 res5a_branch2a[0][0] __________________________________________________________________________________________________ activation_41 (Activation) (None, 7, 7, 512) 0 bn5a_branch2a[0][0] __________________________________________________________________________________________________ res5a_branch2b (Conv2D) (None, 7, 7, 512) 2359808 activation_41[0][0] __________________________________________________________________________________________________ bn5a_branch2b (BatchNormalizati (None, 7, 7, 512) 2048 res5a_branch2b[0][0] __________________________________________________________________________________________________ activation_42 (Activation) (None, 7, 7, 512) 0 bn5a_branch2b[0][0] __________________________________________________________________________________________________ res5a_branch2c (Conv2D) (None, 7, 7, 2048) 1050624 activation_42[0][0] __________________________________________________________________________________________________ res5a_branch1 (Conv2D) (None, 7, 7, 2048) 2099200 activation_40[0][0] __________________________________________________________________________________________________ bn5a_branch2c (BatchNormalizati (None, 7, 7, 2048) 8192 res5a_branch2c[0][0] __________________________________________________________________________________________________ bn5a_branch1 (BatchNormalizatio (None, 7, 7, 2048) 8192 res5a_branch1[0][0] __________________________________________________________________________________________________ add_14 (Add) (None, 7, 7, 2048) 0 bn5a_branch2c[0][0] bn5a_branch1[0][0] __________________________________________________________________________________________________ activation_43 (Activation) (None, 7, 7, 2048) 0 add_14[0][0] __________________________________________________________________________________________________ res5b_branch2a (Conv2D) (None, 7, 7, 512) 1049088 activation_43[0][0] __________________________________________________________________________________________________ bn5b_branch2a (BatchNormalizati (None, 7, 7, 512) 2048 res5b_branch2a[0][0] __________________________________________________________________________________________________ activation_44 (Activation) (None, 7, 7, 512) 0 bn5b_branch2a[0][0] __________________________________________________________________________________________________ res5b_branch2b (Conv2D) (None, 7, 7, 512) 2359808 activation_44[0][0] __________________________________________________________________________________________________ bn5b_branch2b (BatchNormalizati (None, 7, 7, 512) 2048 res5b_branch2b[0][0] __________________________________________________________________________________________________ activation_45 (Activation) (None, 7, 7, 512) 0 bn5b_branch2b[0][0] __________________________________________________________________________________________________ res5b_branch2c (Conv2D) (None, 7, 7, 2048) 1050624 activation_45[0][0] __________________________________________________________________________________________________ bn5b_branch2c (BatchNormalizati (None, 7, 7, 2048) 8192 res5b_branch2c[0][0] __________________________________________________________________________________________________ add_15 (Add) (None, 7, 7, 2048) 0 bn5b_branch2c[0][0] activation_43[0][0] __________________________________________________________________________________________________ activation_46 (Activation) (None, 7, 7, 2048) 0 add_15[0][0] __________________________________________________________________________________________________ res5c_branch2a (Conv2D) (None, 7, 7, 512) 1049088 activation_46[0][0] __________________________________________________________________________________________________ bn5c_branch2a (BatchNormalizati (None, 7, 7, 512) 2048 res5c_branch2a[0][0] __________________________________________________________________________________________________ activation_47 (Activation) (None, 7, 7, 512) 0 bn5c_branch2a[0][0] __________________________________________________________________________________________________ res5c_branch2b (Conv2D) (None, 7, 7, 512) 2359808 activation_47[0][0] __________________________________________________________________________________________________ bn5c_branch2b (BatchNormalizati (None, 7, 7, 512) 2048 res5c_branch2b[0][0] __________________________________________________________________________________________________ activation_48 (Activation) (None, 7, 7, 512) 0 bn5c_branch2b[0][0] __________________________________________________________________________________________________ res5c_branch2c (Conv2D) (None, 7, 7, 2048) 1050624 activation_48[0][0] __________________________________________________________________________________________________ bn5c_branch2c (BatchNormalizati (None, 7, 7, 2048) 8192 res5c_branch2c[0][0] __________________________________________________________________________________________________ add_16 (Add) (None, 7, 7, 2048) 0 bn5c_branch2c[0][0] activation_46[0][0] __________________________________________________________________________________________________ activation_49 (Activation) (None, 7, 7, 2048) 0 add_16[0][0] __________________________________________________________________________________________________ dropout_1 (Dropout) (None, 7, 7, 2048) 0 activation_49[0][0] __________________________________________________________________________________________________ batch_normalization_1 (BatchNor (None, 7, 7, 2048) 8192 dropout_1[0][0] __________________________________________________________________________________________________ global_average_pooling2d_1 (Glo (None, 2048) 0 batch_normalization_1[0][0] __________________________________________________________________________________________________ batch_normalization_2 (BatchNor (None, 2048) 8192 global_average_pooling2d_1[0][0] __________________________________________________________________________________________________ dropout_2 (Dropout) (None, 2048) 0 batch_normalization_2[0][0] __________________________________________________________________________________________________ batch_normalization_3 (BatchNor (None, 2048) 8192 dropout_2[0][0] __________________________________________________________________________________________________ dense_1 (Dense) (None, 1103) 2260047 batch_normalization_3[0][0] ================================================================================================== Total params: 25,872,335 Trainable params: 25,806,927 Non-trainable params: 65,408 __________________________________________________________________________________________________
for layer in model.layers[:-7]:
layer.trainable = False
for layer in model.layers[-7:]:
layer.trainable = True
model.summary()
__________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== input_1 (InputLayer) (None, 224, 224, 3) 0 __________________________________________________________________________________________________ conv1_pad (ZeroPadding2D) (None, 230, 230, 3) 0 input_1[0][0] __________________________________________________________________________________________________ conv1 (Conv2D) (None, 112, 112, 64) 9472 conv1_pad[0][0] __________________________________________________________________________________________________ bn_conv1 (BatchNormalization) (None, 112, 112, 64) 256 conv1[0][0] __________________________________________________________________________________________________ activation_1 (Activation) (None, 112, 112, 64) 0 bn_conv1[0][0] __________________________________________________________________________________________________ pool1_pad (ZeroPadding2D) (None, 114, 114, 64) 0 activation_1[0][0] __________________________________________________________________________________________________ max_pooling2d_1 (MaxPooling2D) (None, 56, 56, 64) 0 pool1_pad[0][0] __________________________________________________________________________________________________ res2a_branch2a (Conv2D) (None, 56, 56, 64) 4160 max_pooling2d_1[0][0] __________________________________________________________________________________________________ bn2a_branch2a (BatchNormalizati (None, 56, 56, 64) 256 res2a_branch2a[0][0] __________________________________________________________________________________________________ activation_2 (Activation) (None, 56, 56, 64) 0 bn2a_branch2a[0][0] __________________________________________________________________________________________________ res2a_branch2b (Conv2D) (None, 56, 56, 64) 36928 activation_2[0][0] __________________________________________________________________________________________________ bn2a_branch2b (BatchNormalizati (None, 56, 56, 64) 256 res2a_branch2b[0][0] __________________________________________________________________________________________________ activation_3 (Activation) (None, 56, 56, 64) 0 bn2a_branch2b[0][0] __________________________________________________________________________________________________ res2a_branch2c (Conv2D) (None, 56, 56, 256) 16640 activation_3[0][0] __________________________________________________________________________________________________ res2a_branch1 (Conv2D) (None, 56, 56, 256) 16640 max_pooling2d_1[0][0] __________________________________________________________________________________________________ bn2a_branch2c (BatchNormalizati (None, 56, 56, 256) 1024 res2a_branch2c[0][0] __________________________________________________________________________________________________ bn2a_branch1 (BatchNormalizatio (None, 56, 56, 256) 1024 res2a_branch1[0][0] __________________________________________________________________________________________________ add_1 (Add) (None, 56, 56, 256) 0 bn2a_branch2c[0][0] bn2a_branch1[0][0] __________________________________________________________________________________________________ activation_4 (Activation) (None, 56, 56, 256) 0 add_1[0][0] __________________________________________________________________________________________________ res2b_branch2a (Conv2D) (None, 56, 56, 64) 16448 activation_4[0][0] __________________________________________________________________________________________________ bn2b_branch2a (BatchNormalizati (None, 56, 56, 64) 256 res2b_branch2a[0][0] __________________________________________________________________________________________________ activation_5 (Activation) (None, 56, 56, 64) 0 bn2b_branch2a[0][0] __________________________________________________________________________________________________ res2b_branch2b (Conv2D) (None, 56, 56, 64) 36928 activation_5[0][0] __________________________________________________________________________________________________ bn2b_branch2b (BatchNormalizati (None, 56, 56, 64) 256 res2b_branch2b[0][0] __________________________________________________________________________________________________ activation_6 (Activation) (None, 56, 56, 64) 0 bn2b_branch2b[0][0] __________________________________________________________________________________________________ res2b_branch2c (Conv2D) (None, 56, 56, 256) 16640 activation_6[0][0] __________________________________________________________________________________________________ bn2b_branch2c (BatchNormalizati (None, 56, 56, 256) 1024 res2b_branch2c[0][0] __________________________________________________________________________________________________ add_2 (Add) (None, 56, 56, 256) 0 bn2b_branch2c[0][0] activation_4[0][0] __________________________________________________________________________________________________ activation_7 (Activation) (None, 56, 56, 256) 0 add_2[0][0] __________________________________________________________________________________________________ res2c_branch2a (Conv2D) (None, 56, 56, 64) 16448 activation_7[0][0] __________________________________________________________________________________________________ bn2c_branch2a (BatchNormalizati (None, 56, 56, 64) 256 res2c_branch2a[0][0] __________________________________________________________________________________________________ activation_8 (Activation) (None, 56, 56, 64) 0 bn2c_branch2a[0][0] __________________________________________________________________________________________________ res2c_branch2b (Conv2D) (None, 56, 56, 64) 36928 activation_8[0][0] __________________________________________________________________________________________________ bn2c_branch2b (BatchNormalizati (None, 56, 56, 64) 256 res2c_branch2b[0][0] __________________________________________________________________________________________________ activation_9 (Activation) (None, 56, 56, 64) 0 bn2c_branch2b[0][0] __________________________________________________________________________________________________ res2c_branch2c (Conv2D) (None, 56, 56, 256) 16640 activation_9[0][0] __________________________________________________________________________________________________ bn2c_branch2c (BatchNormalizati (None, 56, 56, 256) 1024 res2c_branch2c[0][0] __________________________________________________________________________________________________ add_3 (Add) (None, 56, 56, 256) 0 bn2c_branch2c[0][0] activation_7[0][0] __________________________________________________________________________________________________ activation_10 (Activation) (None, 56, 56, 256) 0 add_3[0][0] __________________________________________________________________________________________________ res3a_branch2a (Conv2D) (None, 28, 28, 128) 32896 activation_10[0][0] __________________________________________________________________________________________________ bn3a_branch2a (BatchNormalizati (None, 28, 28, 128) 512 res3a_branch2a[0][0] __________________________________________________________________________________________________ activation_11 (Activation) (None, 28, 28, 128) 0 bn3a_branch2a[0][0] __________________________________________________________________________________________________ res3a_branch2b (Conv2D) (None, 28, 28, 128) 147584 activation_11[0][0] __________________________________________________________________________________________________ bn3a_branch2b (BatchNormalizati (None, 28, 28, 128) 512 res3a_branch2b[0][0] __________________________________________________________________________________________________ activation_12 (Activation) (None, 28, 28, 128) 0 bn3a_branch2b[0][0] __________________________________________________________________________________________________ res3a_branch2c (Conv2D) (None, 28, 28, 512) 66048 activation_12[0][0] __________________________________________________________________________________________________ res3a_branch1 (Conv2D) (None, 28, 28, 512) 131584 activation_10[0][0] __________________________________________________________________________________________________ bn3a_branch2c (BatchNormalizati (None, 28, 28, 512) 2048 res3a_branch2c[0][0] __________________________________________________________________________________________________ bn3a_branch1 (BatchNormalizatio (None, 28, 28, 512) 2048 res3a_branch1[0][0] __________________________________________________________________________________________________ add_4 (Add) (None, 28, 28, 512) 0 bn3a_branch2c[0][0] bn3a_branch1[0][0] __________________________________________________________________________________________________ activation_13 (Activation) (None, 28, 28, 512) 0 add_4[0][0] __________________________________________________________________________________________________ res3b_branch2a (Conv2D) (None, 28, 28, 128) 65664 activation_13[0][0] __________________________________________________________________________________________________ bn3b_branch2a (BatchNormalizati (None, 28, 28, 128) 512 res3b_branch2a[0][0] __________________________________________________________________________________________________ activation_14 (Activation) (None, 28, 28, 128) 0 bn3b_branch2a[0][0] __________________________________________________________________________________________________ res3b_branch2b (Conv2D) (None, 28, 28, 128) 147584 activation_14[0][0] __________________________________________________________________________________________________ bn3b_branch2b (BatchNormalizati (None, 28, 28, 128) 512 res3b_branch2b[0][0] __________________________________________________________________________________________________ activation_15 (Activation) (None, 28, 28, 128) 0 bn3b_branch2b[0][0] __________________________________________________________________________________________________ res3b_branch2c (Conv2D) (None, 28, 28, 512) 66048 activation_15[0][0] __________________________________________________________________________________________________ bn3b_branch2c (BatchNormalizati (None, 28, 28, 512) 2048 res3b_branch2c[0][0] __________________________________________________________________________________________________ add_5 (Add) (None, 28, 28, 512) 0 bn3b_branch2c[0][0] activation_13[0][0] __________________________________________________________________________________________________ activation_16 (Activation) (None, 28, 28, 512) 0 add_5[0][0] __________________________________________________________________________________________________ res3c_branch2a (Conv2D) (None, 28, 28, 128) 65664 activation_16[0][0] __________________________________________________________________________________________________ bn3c_branch2a (BatchNormalizati (None, 28, 28, 128) 512 res3c_branch2a[0][0] __________________________________________________________________________________________________ activation_17 (Activation) (None, 28, 28, 128) 0 bn3c_branch2a[0][0] __________________________________________________________________________________________________ res3c_branch2b (Conv2D) (None, 28, 28, 128) 147584 activation_17[0][0] __________________________________________________________________________________________________ bn3c_branch2b (BatchNormalizati (None, 28, 28, 128) 512 res3c_branch2b[0][0] __________________________________________________________________________________________________ activation_18 (Activation) (None, 28, 28, 128) 0 bn3c_branch2b[0][0] __________________________________________________________________________________________________ res3c_branch2c (Conv2D) (None, 28, 28, 512) 66048 activation_18[0][0] __________________________________________________________________________________________________ bn3c_branch2c (BatchNormalizati (None, 28, 28, 512) 2048 res3c_branch2c[0][0] __________________________________________________________________________________________________ add_6 (Add) (None, 28, 28, 512) 0 bn3c_branch2c[0][0] activation_16[0][0] __________________________________________________________________________________________________ activation_19 (Activation) (None, 28, 28, 512) 0 add_6[0][0] __________________________________________________________________________________________________ res3d_branch2a (Conv2D) (None, 28, 28, 128) 65664 activation_19[0][0] __________________________________________________________________________________________________ bn3d_branch2a (BatchNormalizati (None, 28, 28, 128) 512 res3d_branch2a[0][0] __________________________________________________________________________________________________ activation_20 (Activation) (None, 28, 28, 128) 0 bn3d_branch2a[0][0] __________________________________________________________________________________________________ res3d_branch2b (Conv2D) (None, 28, 28, 128) 147584 activation_20[0][0] __________________________________________________________________________________________________ bn3d_branch2b (BatchNormalizati (None, 28, 28, 128) 512 res3d_branch2b[0][0] __________________________________________________________________________________________________ activation_21 (Activation) (None, 28, 28, 128) 0 bn3d_branch2b[0][0] __________________________________________________________________________________________________ res3d_branch2c (Conv2D) (None, 28, 28, 512) 66048 activation_21[0][0] __________________________________________________________________________________________________ bn3d_branch2c (BatchNormalizati (None, 28, 28, 512) 2048 res3d_branch2c[0][0] __________________________________________________________________________________________________ add_7 (Add) (None, 28, 28, 512) 0 bn3d_branch2c[0][0] activation_19[0][0] __________________________________________________________________________________________________ activation_22 (Activation) (None, 28, 28, 512) 0 add_7[0][0] __________________________________________________________________________________________________ res4a_branch2a (Conv2D) (None, 14, 14, 256) 131328 activation_22[0][0] __________________________________________________________________________________________________ bn4a_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4a_branch2a[0][0] __________________________________________________________________________________________________ activation_23 (Activation) (None, 14, 14, 256) 0 bn4a_branch2a[0][0] __________________________________________________________________________________________________ res4a_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_23[0][0] __________________________________________________________________________________________________ bn4a_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4a_branch2b[0][0] __________________________________________________________________________________________________ activation_24 (Activation) (None, 14, 14, 256) 0 bn4a_branch2b[0][0] __________________________________________________________________________________________________ res4a_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_24[0][0] __________________________________________________________________________________________________ res4a_branch1 (Conv2D) (None, 14, 14, 1024) 525312 activation_22[0][0] __________________________________________________________________________________________________ bn4a_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4a_branch2c[0][0] __________________________________________________________________________________________________ bn4a_branch1 (BatchNormalizatio (None, 14, 14, 1024) 4096 res4a_branch1[0][0] __________________________________________________________________________________________________ add_8 (Add) (None, 14, 14, 1024) 0 bn4a_branch2c[0][0] bn4a_branch1[0][0] __________________________________________________________________________________________________ activation_25 (Activation) (None, 14, 14, 1024) 0 add_8[0][0] __________________________________________________________________________________________________ res4b_branch2a (Conv2D) (None, 14, 14, 256) 262400 activation_25[0][0] __________________________________________________________________________________________________ bn4b_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4b_branch2a[0][0] __________________________________________________________________________________________________ activation_26 (Activation) (None, 14, 14, 256) 0 bn4b_branch2a[0][0] __________________________________________________________________________________________________ res4b_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_26[0][0] __________________________________________________________________________________________________ bn4b_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4b_branch2b[0][0] __________________________________________________________________________________________________ activation_27 (Activation) (None, 14, 14, 256) 0 bn4b_branch2b[0][0] __________________________________________________________________________________________________ res4b_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_27[0][0] __________________________________________________________________________________________________ bn4b_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4b_branch2c[0][0] __________________________________________________________________________________________________ add_9 (Add) (None, 14, 14, 1024) 0 bn4b_branch2c[0][0] activation_25[0][0] __________________________________________________________________________________________________ activation_28 (Activation) (None, 14, 14, 1024) 0 add_9[0][0] __________________________________________________________________________________________________ res4c_branch2a (Conv2D) (None, 14, 14, 256) 262400 activation_28[0][0] __________________________________________________________________________________________________ bn4c_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4c_branch2a[0][0] __________________________________________________________________________________________________ activation_29 (Activation) (None, 14, 14, 256) 0 bn4c_branch2a[0][0] __________________________________________________________________________________________________ res4c_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_29[0][0] __________________________________________________________________________________________________ bn4c_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4c_branch2b[0][0] __________________________________________________________________________________________________ activation_30 (Activation) (None, 14, 14, 256) 0 bn4c_branch2b[0][0] __________________________________________________________________________________________________ res4c_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_30[0][0] __________________________________________________________________________________________________ bn4c_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4c_branch2c[0][0] __________________________________________________________________________________________________ add_10 (Add) (None, 14, 14, 1024) 0 bn4c_branch2c[0][0] activation_28[0][0] __________________________________________________________________________________________________ activation_31 (Activation) (None, 14, 14, 1024) 0 add_10[0][0] __________________________________________________________________________________________________ res4d_branch2a (Conv2D) (None, 14, 14, 256) 262400 activation_31[0][0] __________________________________________________________________________________________________ bn4d_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4d_branch2a[0][0] __________________________________________________________________________________________________ activation_32 (Activation) (None, 14, 14, 256) 0 bn4d_branch2a[0][0] __________________________________________________________________________________________________ res4d_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_32[0][0] __________________________________________________________________________________________________ bn4d_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4d_branch2b[0][0] __________________________________________________________________________________________________ activation_33 (Activation) (None, 14, 14, 256) 0 bn4d_branch2b[0][0] __________________________________________________________________________________________________ res4d_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_33[0][0] __________________________________________________________________________________________________ bn4d_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4d_branch2c[0][0] __________________________________________________________________________________________________ add_11 (Add) (None, 14, 14, 1024) 0 bn4d_branch2c[0][0] activation_31[0][0] __________________________________________________________________________________________________ activation_34 (Activation) (None, 14, 14, 1024) 0 add_11[0][0] __________________________________________________________________________________________________ res4e_branch2a (Conv2D) (None, 14, 14, 256) 262400 activation_34[0][0] __________________________________________________________________________________________________ bn4e_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4e_branch2a[0][0] __________________________________________________________________________________________________ activation_35 (Activation) (None, 14, 14, 256) 0 bn4e_branch2a[0][0] __________________________________________________________________________________________________ res4e_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_35[0][0] __________________________________________________________________________________________________ bn4e_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4e_branch2b[0][0] __________________________________________________________________________________________________ activation_36 (Activation) (None, 14, 14, 256) 0 bn4e_branch2b[0][0] __________________________________________________________________________________________________ res4e_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_36[0][0] __________________________________________________________________________________________________ bn4e_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4e_branch2c[0][0] __________________________________________________________________________________________________ add_12 (Add) (None, 14, 14, 1024) 0 bn4e_branch2c[0][0] activation_34[0][0] __________________________________________________________________________________________________ activation_37 (Activation) (None, 14, 14, 1024) 0 add_12[0][0] __________________________________________________________________________________________________ res4f_branch2a (Conv2D) (None, 14, 14, 256) 262400 activation_37[0][0] __________________________________________________________________________________________________ bn4f_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4f_branch2a[0][0] __________________________________________________________________________________________________ activation_38 (Activation) (None, 14, 14, 256) 0 bn4f_branch2a[0][0] __________________________________________________________________________________________________ res4f_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_38[0][0] __________________________________________________________________________________________________ bn4f_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4f_branch2b[0][0] __________________________________________________________________________________________________ activation_39 (Activation) (None, 14, 14, 256) 0 bn4f_branch2b[0][0] __________________________________________________________________________________________________ res4f_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_39[0][0] __________________________________________________________________________________________________ bn4f_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4f_branch2c[0][0] __________________________________________________________________________________________________ add_13 (Add) (None, 14, 14, 1024) 0 bn4f_branch2c[0][0] activation_37[0][0] __________________________________________________________________________________________________ activation_40 (Activation) (None, 14, 14, 1024) 0 add_13[0][0] __________________________________________________________________________________________________ res5a_branch2a (Conv2D) (None, 7, 7, 512) 524800 activation_40[0][0] __________________________________________________________________________________________________ bn5a_branch2a (BatchNormalizati (None, 7, 7, 512) 2048 res5a_branch2a[0][0] __________________________________________________________________________________________________ activation_41 (Activation) (None, 7, 7, 512) 0 bn5a_branch2a[0][0] __________________________________________________________________________________________________ res5a_branch2b (Conv2D) (None, 7, 7, 512) 2359808 activation_41[0][0] __________________________________________________________________________________________________ bn5a_branch2b (BatchNormalizati (None, 7, 7, 512) 2048 res5a_branch2b[0][0] __________________________________________________________________________________________________ activation_42 (Activation) (None, 7, 7, 512) 0 bn5a_branch2b[0][0] __________________________________________________________________________________________________ res5a_branch2c (Conv2D) (None, 7, 7, 2048) 1050624 activation_42[0][0] __________________________________________________________________________________________________ res5a_branch1 (Conv2D) (None, 7, 7, 2048) 2099200 activation_40[0][0] __________________________________________________________________________________________________ bn5a_branch2c (BatchNormalizati (None, 7, 7, 2048) 8192 res5a_branch2c[0][0] __________________________________________________________________________________________________ bn5a_branch1 (BatchNormalizatio (None, 7, 7, 2048) 8192 res5a_branch1[0][0] __________________________________________________________________________________________________ add_14 (Add) (None, 7, 7, 2048) 0 bn5a_branch2c[0][0] bn5a_branch1[0][0] __________________________________________________________________________________________________ activation_43 (Activation) (None, 7, 7, 2048) 0 add_14[0][0] __________________________________________________________________________________________________ res5b_branch2a (Conv2D) (None, 7, 7, 512) 1049088 activation_43[0][0] __________________________________________________________________________________________________ bn5b_branch2a (BatchNormalizati (None, 7, 7, 512) 2048 res5b_branch2a[0][0] __________________________________________________________________________________________________ activation_44 (Activation) (None, 7, 7, 512) 0 bn5b_branch2a[0][0] __________________________________________________________________________________________________ res5b_branch2b (Conv2D) (None, 7, 7, 512) 2359808 activation_44[0][0] __________________________________________________________________________________________________ bn5b_branch2b (BatchNormalizati (None, 7, 7, 512) 2048 res5b_branch2b[0][0] __________________________________________________________________________________________________ activation_45 (Activation) (None, 7, 7, 512) 0 bn5b_branch2b[0][0] __________________________________________________________________________________________________ res5b_branch2c (Conv2D) (None, 7, 7, 2048) 1050624 activation_45[0][0] __________________________________________________________________________________________________ bn5b_branch2c (BatchNormalizati (None, 7, 7, 2048) 8192 res5b_branch2c[0][0] __________________________________________________________________________________________________ add_15 (Add) (None, 7, 7, 2048) 0 bn5b_branch2c[0][0] activation_43[0][0] __________________________________________________________________________________________________ activation_46 (Activation) (None, 7, 7, 2048) 0 add_15[0][0] __________________________________________________________________________________________________ res5c_branch2a (Conv2D) (None, 7, 7, 512) 1049088 activation_46[0][0] __________________________________________________________________________________________________ bn5c_branch2a (BatchNormalizati (None, 7, 7, 512) 2048 res5c_branch2a[0][0] __________________________________________________________________________________________________ activation_47 (Activation) (None, 7, 7, 512) 0 bn5c_branch2a[0][0] __________________________________________________________________________________________________ res5c_branch2b (Conv2D) (None, 7, 7, 512) 2359808 activation_47[0][0] __________________________________________________________________________________________________ bn5c_branch2b (BatchNormalizati (None, 7, 7, 512) 2048 res5c_branch2b[0][0] __________________________________________________________________________________________________ activation_48 (Activation) (None, 7, 7, 512) 0 bn5c_branch2b[0][0] __________________________________________________________________________________________________ res5c_branch2c (Conv2D) (None, 7, 7, 2048) 1050624 activation_48[0][0] __________________________________________________________________________________________________ bn5c_branch2c (BatchNormalizati (None, 7, 7, 2048) 8192 res5c_branch2c[0][0] __________________________________________________________________________________________________ add_16 (Add) (None, 7, 7, 2048) 0 bn5c_branch2c[0][0] activation_46[0][0] __________________________________________________________________________________________________ activation_49 (Activation) (None, 7, 7, 2048) 0 add_16[0][0] __________________________________________________________________________________________________ dropout_1 (Dropout) (None, 7, 7, 2048) 0 activation_49[0][0] __________________________________________________________________________________________________ batch_normalization_1 (BatchNor (None, 7, 7, 2048) 8192 dropout_1[0][0] __________________________________________________________________________________________________ global_average_pooling2d_1 (Glo (None, 2048) 0 batch_normalization_1[0][0] __________________________________________________________________________________________________ batch_normalization_2 (BatchNor (None, 2048) 8192 global_average_pooling2d_1[0][0] __________________________________________________________________________________________________ dropout_2 (Dropout) (None, 2048) 0 batch_normalization_2[0][0] __________________________________________________________________________________________________ batch_normalization_3 (BatchNor (None, 2048) 8192 dropout_2[0][0] __________________________________________________________________________________________________ dense_1 (Dense) (None, 1103) 2260047 batch_normalization_3[0][0] ================================================================================================== Total params: 25,872,335 Trainable params: 2,272,335 Non-trainable params: 23,600,000 __________________________________________________________________________________________________
## precision, recall, and f measure
#def precision(y_true, y_pred):
# # Calculates the precision
# true_positives = K.sum(K.round(K.clip(y_true * y_pred, 0, 1)))
# predicted_positives = K.sum(K.round(K.clip(y_pred, 0, 1)))
# precision = true_positives / (predicted_positives + K.epsilon())
# return precision
#
#def recall(y_true, y_pred):
# # Calculates the recall
# true_positives = K.sum(K.round(K.clip(y_true * y_pred, 0, 1)))
# possible_positives = K.sum(K.round(K.clip(y_true, 0, 1)))
# recall = true_positives / (possible_positives + K.epsilon())
# return recall
#
#def fbeta_score(y_true, y_pred, beta=2):
# # Calculates the F score, the weighted harmonic mean of precision and recall.
# if beta < 0:
# raise ValueError('The lowest choosable beta is zero (only precision).')
#
# # If there are no true positives, fix the F score at 0 like sklearn.
# if K.sum(K.round(K.clip(y_true, 0, 1))) == 0:
# return 0
#
# p = precision(y_true, y_pred)
# r = recall(y_true, y_pred)
# bb = beta ** 2
# fbeta_score = (1 + bb) * (p * r) / (bb * p + r + K.epsilon())
# return fbeta_score
#
#def fmeasure(y_true, y_pred):
# # Calculates the f-measure, the harmonic mean of precision and recall.
# return fbeta_score(y_true, y_pred, beta=2)
beta_f2=2
# if gamma == 0.0:
# F2_THRESHOLD = 0.1
# elif gamma == 1.0:
# F2_THRESHOLD = 0.2
# else:
# F2_THRESHOLD = 0.3
# print(F2_THRESHOLD)
def f2(y_true, y_pred):
#y_pred = K.round(y_pred)
# y_pred = K.cast(K.greater(K.clip(y_pred, 0, 1), F2_THRESHOLD), K.floatx())
tp = K.sum(K.cast(y_true*y_pred, 'float'), axis=1)
tn = K.sum(K.cast((1-y_true)*(1-y_pred), 'float'), axis=1)
fp = K.sum(K.cast((1-y_true)*y_pred, 'float'), axis=1)
fn = K.sum(K.cast(y_true*(1-y_pred), 'float'), axis=1)
p = tp / (tp + fp + K.epsilon())
r = tp / (tp + fn + K.epsilon())
f2 = (1+beta_f2**2)*p*r / (p*beta_f2**2 + r + K.epsilon())
f2 = tf.where(tf.is_nan(f2), tf.zeros_like(f2), f2)
return K.mean(f2)
#from keras import backend as K
#import tensorflow as tf
#
#import dill
#
#
#def binary_focal_loss(gamma=2., alpha=0.25):
#
# def binary_focal_loss_fixed(y_true, y_pred):
#
# pt_1 = tf.where(tf.equal(y_true, 1), y_pred, tf.ones_like(y_pred))
# pt_0 = tf.where(tf.equal(y_true, 0), y_pred, tf.zeros_like(y_pred))
#
# epsilon = K.epsilon()
# # clip to prevent NaN's and Inf's
# pt_1 = K.clip(pt_1, epsilon, 1. - epsilon)
# pt_0 = K.clip(pt_0, epsilon, 1. - epsilon)
#
# return -K.sum(alpha * K.pow(1. - pt_1, gamma) * K.log(pt_1)) \
# -K.sum((1 - alpha) * K.pow(pt_0, gamma) * K.log(1. - pt_0))
#
# return binary_focal_loss_fixed
# focal loss
#def focal_loss(gamma=2., alpha=4.):#
# gamma = float(gamma)
# alpha = float(alpha)
#
# def focal_loss_fixed(y_true, y_pred):
# epsilon = 1.e-7
# y_true = tf.convert_to_tensor(y_true, tf.float32)
# y_pred = tf.convert_to_tensor(y_pred, tf.float32)
#
# model_out = tf.add(y_pred, epsilon)
# ce = tf.multiply(y_true, -tf.log(model_out))
# weight = tf.multiply(y_true, tf.pow(tf.subtract(1., model_out), gamma))
# fl = tf.multiply(alpha, tf.multiply(weight, ce))
# reduced_fl = tf.reduce_max(fl, axis=1)
# return tf.reduce_mean(reduced_fl)
# return focal_loss_fixed
def focal_loss(gamma=2., alpha=2):
gamma = 2.0
epsilon = K.epsilon()
def focal_loss(y_true, y_pred):
pt = y_pred * y_true + (1-y_pred) * (1-y_true)
pt = K.clip(pt, epsilon, 1-epsilon)
CE = -K.log(pt)
FL = K.pow(1-pt, gamma) * CE
loss = K.sum(FL, axis=1)
return loss
return focal_loss
import tensorflow as tf
import keras.backend as K
def f1_macro(y_true, y_pred):
y_pred = K.round(y_pred)
tp = K.sum(K.cast(y_true*y_pred, 'float'), axis=0)
# tn = K.sum(K.cast((1-y_true)*(1-y_pred), 'float'), axis=0)
fp = K.sum(K.cast((1-y_true)*y_pred, 'float'), axis=0)
fn = K.sum(K.cast(y_true*(1-y_pred), 'float'), axis=0)
p = tp / (tp + fp + K.epsilon())
r = tp / (tp + fn + K.epsilon())
f1 = 2*p*r / (p+r+K.epsilon())
f1 = tf.where(tf.is_nan(f1), tf.zeros_like(f1), f1)
return K.mean(f1)
os.mkdir("../checkpoint/")
os.listdir("../")
['input', 'checkpoint', 'working', 'src', 'lib']
model.compile(optimizer=Adam(lr=1e-3),
loss="binary_crossentropy",
metrics=['accuracy',f1_macro,f2])
#custom_model.compile(optimizer=Adam(lr=1e-3), loss=focal_loss(), metrics=['accuracy',f1_macro,f2])
tensorboard = TensorBoard(log_dir ='../training',
write_graph=True,
write_images=True,
update_freq='batch'
)
reduce_lr = ReduceLROnPlateau(monitor='val_acc',
factor=0.5,patience=5, min_lr=0.0001)
early_stopping = EarlyStopping(monitor='acc', min_delta=0, patience=10, verbose=1)
checkpoint = ModelCheckpoint('../checkpoint/weights.{epoch:02d}-{val_acc:.5f}_binary_crossentropy_f1_macro.hdf5',
monitor='val_acc', verbose=1, save_best_only=True, mode='auto')
batch_size_train=32
batch_size_val=32
history=model.fit_generator(generator(data_trainning,batch_size_train),
steps_per_epoch=max(1, len(data_trainning)//batch_size_train),
validation_data=generator(data_val,batch_size_val),#
validation_steps=max(1, len(data_val)//batch_size_val),#
epochs=1,
callbacks=[reduce_lr,checkpoint,tensorboard,reduce_lr])
WARNING:tensorflow:From /opt/conda/lib/python3.6/site-packages/tensorflow/python/ops/math_ops.py:3066: to_int32 (from tensorflow.python.ops.math_ops) is deprecated and will be removed in a future version. Instructions for updating: Use tf.cast instead. Epoch 1/1 2389/2389 [==============================] - 1065s 446ms/step - loss: 0.0284 - acc: 0.9892 - f1_macro: 0.0070 - f2: 0.1630 - val_loss: 0.0170 - val_acc: 0.9971 - val_f1_macro: 0.0000e+00 - val_f2: 0.0366 Epoch 00001: val_acc improved from -inf to 0.99713, saving model to ../checkpoint/weights.01-0.99713_binary_crossentropy_f1_macro.hdf5
os.mkdir("../model")
model.save("../model/model.h5")
os.listdir("../model/")
['model.h5']
model_s2=creat_model()
/opt/conda/lib/python3.6/site-packages/keras_applications/resnet50.py:265: UserWarning: The output shape of `ResNet50(include_top=False)` has been changed since Keras 2.2.0. warnings.warn('The output shape of `ResNet50(include_top=False)` '
model_s2.load_weights("../model/model.h5")
for layer in model_s2.layers[:]:
layer.trainable = True
model_s2.summary()
__________________________________________________________________________________________________ Layer (type) Output Shape Param # Connected to ================================================================================================== input_2 (InputLayer) (None, 224, 224, 3) 0 __________________________________________________________________________________________________ conv1_pad (ZeroPadding2D) (None, 230, 230, 3) 0 input_2[0][0] __________________________________________________________________________________________________ conv1 (Conv2D) (None, 112, 112, 64) 9472 conv1_pad[0][0] __________________________________________________________________________________________________ bn_conv1 (BatchNormalization) (None, 112, 112, 64) 256 conv1[0][0] __________________________________________________________________________________________________ activation_50 (Activation) (None, 112, 112, 64) 0 bn_conv1[0][0] __________________________________________________________________________________________________ pool1_pad (ZeroPadding2D) (None, 114, 114, 64) 0 activation_50[0][0] __________________________________________________________________________________________________ max_pooling2d_2 (MaxPooling2D) (None, 56, 56, 64) 0 pool1_pad[0][0] __________________________________________________________________________________________________ res2a_branch2a (Conv2D) (None, 56, 56, 64) 4160 max_pooling2d_2[0][0] __________________________________________________________________________________________________ bn2a_branch2a (BatchNormalizati (None, 56, 56, 64) 256 res2a_branch2a[0][0] __________________________________________________________________________________________________ activation_51 (Activation) (None, 56, 56, 64) 0 bn2a_branch2a[0][0] __________________________________________________________________________________________________ res2a_branch2b (Conv2D) (None, 56, 56, 64) 36928 activation_51[0][0] __________________________________________________________________________________________________ bn2a_branch2b (BatchNormalizati (None, 56, 56, 64) 256 res2a_branch2b[0][0] __________________________________________________________________________________________________ activation_52 (Activation) (None, 56, 56, 64) 0 bn2a_branch2b[0][0] __________________________________________________________________________________________________ res2a_branch2c (Conv2D) (None, 56, 56, 256) 16640 activation_52[0][0] __________________________________________________________________________________________________ res2a_branch1 (Conv2D) (None, 56, 56, 256) 16640 max_pooling2d_2[0][0] __________________________________________________________________________________________________ bn2a_branch2c (BatchNormalizati (None, 56, 56, 256) 1024 res2a_branch2c[0][0] __________________________________________________________________________________________________ bn2a_branch1 (BatchNormalizatio (None, 56, 56, 256) 1024 res2a_branch1[0][0] __________________________________________________________________________________________________ add_17 (Add) (None, 56, 56, 256) 0 bn2a_branch2c[0][0] bn2a_branch1[0][0] __________________________________________________________________________________________________ activation_53 (Activation) (None, 56, 56, 256) 0 add_17[0][0] __________________________________________________________________________________________________ res2b_branch2a (Conv2D) (None, 56, 56, 64) 16448 activation_53[0][0] __________________________________________________________________________________________________ bn2b_branch2a (BatchNormalizati (None, 56, 56, 64) 256 res2b_branch2a[0][0] __________________________________________________________________________________________________ activation_54 (Activation) (None, 56, 56, 64) 0 bn2b_branch2a[0][0] __________________________________________________________________________________________________ res2b_branch2b (Conv2D) (None, 56, 56, 64) 36928 activation_54[0][0] __________________________________________________________________________________________________ bn2b_branch2b (BatchNormalizati (None, 56, 56, 64) 256 res2b_branch2b[0][0] __________________________________________________________________________________________________ activation_55 (Activation) (None, 56, 56, 64) 0 bn2b_branch2b[0][0] __________________________________________________________________________________________________ res2b_branch2c (Conv2D) (None, 56, 56, 256) 16640 activation_55[0][0] __________________________________________________________________________________________________ bn2b_branch2c (BatchNormalizati (None, 56, 56, 256) 1024 res2b_branch2c[0][0] __________________________________________________________________________________________________ add_18 (Add) (None, 56, 56, 256) 0 bn2b_branch2c[0][0] activation_53[0][0] __________________________________________________________________________________________________ activation_56 (Activation) (None, 56, 56, 256) 0 add_18[0][0] __________________________________________________________________________________________________ res2c_branch2a (Conv2D) (None, 56, 56, 64) 16448 activation_56[0][0] __________________________________________________________________________________________________ bn2c_branch2a (BatchNormalizati (None, 56, 56, 64) 256 res2c_branch2a[0][0] __________________________________________________________________________________________________ activation_57 (Activation) (None, 56, 56, 64) 0 bn2c_branch2a[0][0] __________________________________________________________________________________________________ res2c_branch2b (Conv2D) (None, 56, 56, 64) 36928 activation_57[0][0] __________________________________________________________________________________________________ bn2c_branch2b (BatchNormalizati (None, 56, 56, 64) 256 res2c_branch2b[0][0] __________________________________________________________________________________________________ activation_58 (Activation) (None, 56, 56, 64) 0 bn2c_branch2b[0][0] __________________________________________________________________________________________________ res2c_branch2c (Conv2D) (None, 56, 56, 256) 16640 activation_58[0][0] __________________________________________________________________________________________________ bn2c_branch2c (BatchNormalizati (None, 56, 56, 256) 1024 res2c_branch2c[0][0] __________________________________________________________________________________________________ add_19 (Add) (None, 56, 56, 256) 0 bn2c_branch2c[0][0] activation_56[0][0] __________________________________________________________________________________________________ activation_59 (Activation) (None, 56, 56, 256) 0 add_19[0][0] __________________________________________________________________________________________________ res3a_branch2a (Conv2D) (None, 28, 28, 128) 32896 activation_59[0][0] __________________________________________________________________________________________________ bn3a_branch2a (BatchNormalizati (None, 28, 28, 128) 512 res3a_branch2a[0][0] __________________________________________________________________________________________________ activation_60 (Activation) (None, 28, 28, 128) 0 bn3a_branch2a[0][0] __________________________________________________________________________________________________ res3a_branch2b (Conv2D) (None, 28, 28, 128) 147584 activation_60[0][0] __________________________________________________________________________________________________ bn3a_branch2b (BatchNormalizati (None, 28, 28, 128) 512 res3a_branch2b[0][0] __________________________________________________________________________________________________ activation_61 (Activation) (None, 28, 28, 128) 0 bn3a_branch2b[0][0] __________________________________________________________________________________________________ res3a_branch2c (Conv2D) (None, 28, 28, 512) 66048 activation_61[0][0] __________________________________________________________________________________________________ res3a_branch1 (Conv2D) (None, 28, 28, 512) 131584 activation_59[0][0] __________________________________________________________________________________________________ bn3a_branch2c (BatchNormalizati (None, 28, 28, 512) 2048 res3a_branch2c[0][0] __________________________________________________________________________________________________ bn3a_branch1 (BatchNormalizatio (None, 28, 28, 512) 2048 res3a_branch1[0][0] __________________________________________________________________________________________________ add_20 (Add) (None, 28, 28, 512) 0 bn3a_branch2c[0][0] bn3a_branch1[0][0] __________________________________________________________________________________________________ activation_62 (Activation) (None, 28, 28, 512) 0 add_20[0][0] __________________________________________________________________________________________________ res3b_branch2a (Conv2D) (None, 28, 28, 128) 65664 activation_62[0][0] __________________________________________________________________________________________________ bn3b_branch2a (BatchNormalizati (None, 28, 28, 128) 512 res3b_branch2a[0][0] __________________________________________________________________________________________________ activation_63 (Activation) (None, 28, 28, 128) 0 bn3b_branch2a[0][0] __________________________________________________________________________________________________ res3b_branch2b (Conv2D) (None, 28, 28, 128) 147584 activation_63[0][0] __________________________________________________________________________________________________ bn3b_branch2b (BatchNormalizati (None, 28, 28, 128) 512 res3b_branch2b[0][0] __________________________________________________________________________________________________ activation_64 (Activation) (None, 28, 28, 128) 0 bn3b_branch2b[0][0] __________________________________________________________________________________________________ res3b_branch2c (Conv2D) (None, 28, 28, 512) 66048 activation_64[0][0] __________________________________________________________________________________________________ bn3b_branch2c (BatchNormalizati (None, 28, 28, 512) 2048 res3b_branch2c[0][0] __________________________________________________________________________________________________ add_21 (Add) (None, 28, 28, 512) 0 bn3b_branch2c[0][0] activation_62[0][0] __________________________________________________________________________________________________ activation_65 (Activation) (None, 28, 28, 512) 0 add_21[0][0] __________________________________________________________________________________________________ res3c_branch2a (Conv2D) (None, 28, 28, 128) 65664 activation_65[0][0] __________________________________________________________________________________________________ bn3c_branch2a (BatchNormalizati (None, 28, 28, 128) 512 res3c_branch2a[0][0] __________________________________________________________________________________________________ activation_66 (Activation) (None, 28, 28, 128) 0 bn3c_branch2a[0][0] __________________________________________________________________________________________________ res3c_branch2b (Conv2D) (None, 28, 28, 128) 147584 activation_66[0][0] __________________________________________________________________________________________________ bn3c_branch2b (BatchNormalizati (None, 28, 28, 128) 512 res3c_branch2b[0][0] __________________________________________________________________________________________________ activation_67 (Activation) (None, 28, 28, 128) 0 bn3c_branch2b[0][0] __________________________________________________________________________________________________ res3c_branch2c (Conv2D) (None, 28, 28, 512) 66048 activation_67[0][0] __________________________________________________________________________________________________ bn3c_branch2c (BatchNormalizati (None, 28, 28, 512) 2048 res3c_branch2c[0][0] __________________________________________________________________________________________________ add_22 (Add) (None, 28, 28, 512) 0 bn3c_branch2c[0][0] activation_65[0][0] __________________________________________________________________________________________________ activation_68 (Activation) (None, 28, 28, 512) 0 add_22[0][0] __________________________________________________________________________________________________ res3d_branch2a (Conv2D) (None, 28, 28, 128) 65664 activation_68[0][0] __________________________________________________________________________________________________ bn3d_branch2a (BatchNormalizati (None, 28, 28, 128) 512 res3d_branch2a[0][0] __________________________________________________________________________________________________ activation_69 (Activation) (None, 28, 28, 128) 0 bn3d_branch2a[0][0] __________________________________________________________________________________________________ res3d_branch2b (Conv2D) (None, 28, 28, 128) 147584 activation_69[0][0] __________________________________________________________________________________________________ bn3d_branch2b (BatchNormalizati (None, 28, 28, 128) 512 res3d_branch2b[0][0] __________________________________________________________________________________________________ activation_70 (Activation) (None, 28, 28, 128) 0 bn3d_branch2b[0][0] __________________________________________________________________________________________________ res3d_branch2c (Conv2D) (None, 28, 28, 512) 66048 activation_70[0][0] __________________________________________________________________________________________________ bn3d_branch2c (BatchNormalizati (None, 28, 28, 512) 2048 res3d_branch2c[0][0] __________________________________________________________________________________________________ add_23 (Add) (None, 28, 28, 512) 0 bn3d_branch2c[0][0] activation_68[0][0] __________________________________________________________________________________________________ activation_71 (Activation) (None, 28, 28, 512) 0 add_23[0][0] __________________________________________________________________________________________________ res4a_branch2a (Conv2D) (None, 14, 14, 256) 131328 activation_71[0][0] __________________________________________________________________________________________________ bn4a_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4a_branch2a[0][0] __________________________________________________________________________________________________ activation_72 (Activation) (None, 14, 14, 256) 0 bn4a_branch2a[0][0] __________________________________________________________________________________________________ res4a_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_72[0][0] __________________________________________________________________________________________________ bn4a_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4a_branch2b[0][0] __________________________________________________________________________________________________ activation_73 (Activation) (None, 14, 14, 256) 0 bn4a_branch2b[0][0] __________________________________________________________________________________________________ res4a_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_73[0][0] __________________________________________________________________________________________________ res4a_branch1 (Conv2D) (None, 14, 14, 1024) 525312 activation_71[0][0] __________________________________________________________________________________________________ bn4a_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4a_branch2c[0][0] __________________________________________________________________________________________________ bn4a_branch1 (BatchNormalizatio (None, 14, 14, 1024) 4096 res4a_branch1[0][0] __________________________________________________________________________________________________ add_24 (Add) (None, 14, 14, 1024) 0 bn4a_branch2c[0][0] bn4a_branch1[0][0] __________________________________________________________________________________________________ activation_74 (Activation) (None, 14, 14, 1024) 0 add_24[0][0] __________________________________________________________________________________________________ res4b_branch2a (Conv2D) (None, 14, 14, 256) 262400 activation_74[0][0] __________________________________________________________________________________________________ bn4b_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4b_branch2a[0][0] __________________________________________________________________________________________________ activation_75 (Activation) (None, 14, 14, 256) 0 bn4b_branch2a[0][0] __________________________________________________________________________________________________ res4b_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_75[0][0] __________________________________________________________________________________________________ bn4b_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4b_branch2b[0][0] __________________________________________________________________________________________________ activation_76 (Activation) (None, 14, 14, 256) 0 bn4b_branch2b[0][0] __________________________________________________________________________________________________ res4b_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_76[0][0] __________________________________________________________________________________________________ bn4b_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4b_branch2c[0][0] __________________________________________________________________________________________________ add_25 (Add) (None, 14, 14, 1024) 0 bn4b_branch2c[0][0] activation_74[0][0] __________________________________________________________________________________________________ activation_77 (Activation) (None, 14, 14, 1024) 0 add_25[0][0] __________________________________________________________________________________________________ res4c_branch2a (Conv2D) (None, 14, 14, 256) 262400 activation_77[0][0] __________________________________________________________________________________________________ bn4c_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4c_branch2a[0][0] __________________________________________________________________________________________________ activation_78 (Activation) (None, 14, 14, 256) 0 bn4c_branch2a[0][0] __________________________________________________________________________________________________ res4c_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_78[0][0] __________________________________________________________________________________________________ bn4c_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4c_branch2b[0][0] __________________________________________________________________________________________________ activation_79 (Activation) (None, 14, 14, 256) 0 bn4c_branch2b[0][0] __________________________________________________________________________________________________ res4c_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_79[0][0] __________________________________________________________________________________________________ bn4c_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4c_branch2c[0][0] __________________________________________________________________________________________________ add_26 (Add) (None, 14, 14, 1024) 0 bn4c_branch2c[0][0] activation_77[0][0] __________________________________________________________________________________________________ activation_80 (Activation) (None, 14, 14, 1024) 0 add_26[0][0] __________________________________________________________________________________________________ res4d_branch2a (Conv2D) (None, 14, 14, 256) 262400 activation_80[0][0] __________________________________________________________________________________________________ bn4d_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4d_branch2a[0][0] __________________________________________________________________________________________________ activation_81 (Activation) (None, 14, 14, 256) 0 bn4d_branch2a[0][0] __________________________________________________________________________________________________ res4d_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_81[0][0] __________________________________________________________________________________________________ bn4d_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4d_branch2b[0][0] __________________________________________________________________________________________________ activation_82 (Activation) (None, 14, 14, 256) 0 bn4d_branch2b[0][0] __________________________________________________________________________________________________ res4d_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_82[0][0] __________________________________________________________________________________________________ bn4d_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4d_branch2c[0][0] __________________________________________________________________________________________________ add_27 (Add) (None, 14, 14, 1024) 0 bn4d_branch2c[0][0] activation_80[0][0] __________________________________________________________________________________________________ activation_83 (Activation) (None, 14, 14, 1024) 0 add_27[0][0] __________________________________________________________________________________________________ res4e_branch2a (Conv2D) (None, 14, 14, 256) 262400 activation_83[0][0] __________________________________________________________________________________________________ bn4e_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4e_branch2a[0][0] __________________________________________________________________________________________________ activation_84 (Activation) (None, 14, 14, 256) 0 bn4e_branch2a[0][0] __________________________________________________________________________________________________ res4e_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_84[0][0] __________________________________________________________________________________________________ bn4e_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4e_branch2b[0][0] __________________________________________________________________________________________________ activation_85 (Activation) (None, 14, 14, 256) 0 bn4e_branch2b[0][0] __________________________________________________________________________________________________ res4e_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_85[0][0] __________________________________________________________________________________________________ bn4e_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4e_branch2c[0][0] __________________________________________________________________________________________________ add_28 (Add) (None, 14, 14, 1024) 0 bn4e_branch2c[0][0] activation_83[0][0] __________________________________________________________________________________________________ activation_86 (Activation) (None, 14, 14, 1024) 0 add_28[0][0] __________________________________________________________________________________________________ res4f_branch2a (Conv2D) (None, 14, 14, 256) 262400 activation_86[0][0] __________________________________________________________________________________________________ bn4f_branch2a (BatchNormalizati (None, 14, 14, 256) 1024 res4f_branch2a[0][0] __________________________________________________________________________________________________ activation_87 (Activation) (None, 14, 14, 256) 0 bn4f_branch2a[0][0] __________________________________________________________________________________________________ res4f_branch2b (Conv2D) (None, 14, 14, 256) 590080 activation_87[0][0] __________________________________________________________________________________________________ bn4f_branch2b (BatchNormalizati (None, 14, 14, 256) 1024 res4f_branch2b[0][0] __________________________________________________________________________________________________ activation_88 (Activation) (None, 14, 14, 256) 0 bn4f_branch2b[0][0] __________________________________________________________________________________________________ res4f_branch2c (Conv2D) (None, 14, 14, 1024) 263168 activation_88[0][0] __________________________________________________________________________________________________ bn4f_branch2c (BatchNormalizati (None, 14, 14, 1024) 4096 res4f_branch2c[0][0] __________________________________________________________________________________________________ add_29 (Add) (None, 14, 14, 1024) 0 bn4f_branch2c[0][0] activation_86[0][0] __________________________________________________________________________________________________ activation_89 (Activation) (None, 14, 14, 1024) 0 add_29[0][0] __________________________________________________________________________________________________ res5a_branch2a (Conv2D) (None, 7, 7, 512) 524800 activation_89[0][0] __________________________________________________________________________________________________ bn5a_branch2a (BatchNormalizati (None, 7, 7, 512) 2048 res5a_branch2a[0][0] __________________________________________________________________________________________________ activation_90 (Activation) (None, 7, 7, 512) 0 bn5a_branch2a[0][0] __________________________________________________________________________________________________ res5a_branch2b (Conv2D) (None, 7, 7, 512) 2359808 activation_90[0][0] __________________________________________________________________________________________________ bn5a_branch2b (BatchNormalizati (None, 7, 7, 512) 2048 res5a_branch2b[0][0] __________________________________________________________________________________________________ activation_91 (Activation) (None, 7, 7, 512) 0 bn5a_branch2b[0][0] __________________________________________________________________________________________________ res5a_branch2c (Conv2D) (None, 7, 7, 2048) 1050624 activation_91[0][0] __________________________________________________________________________________________________ res5a_branch1 (Conv2D) (None, 7, 7, 2048) 2099200 activation_89[0][0] __________________________________________________________________________________________________ bn5a_branch2c (BatchNormalizati (None, 7, 7, 2048) 8192 res5a_branch2c[0][0] __________________________________________________________________________________________________ bn5a_branch1 (BatchNormalizatio (None, 7, 7, 2048) 8192 res5a_branch1[0][0] __________________________________________________________________________________________________ add_30 (Add) (None, 7, 7, 2048) 0 bn5a_branch2c[0][0] bn5a_branch1[0][0] __________________________________________________________________________________________________ activation_92 (Activation) (None, 7, 7, 2048) 0 add_30[0][0] __________________________________________________________________________________________________ res5b_branch2a (Conv2D) (None, 7, 7, 512) 1049088 activation_92[0][0] __________________________________________________________________________________________________ bn5b_branch2a (BatchNormalizati (None, 7, 7, 512) 2048 res5b_branch2a[0][0] __________________________________________________________________________________________________ activation_93 (Activation) (None, 7, 7, 512) 0 bn5b_branch2a[0][0] __________________________________________________________________________________________________ res5b_branch2b (Conv2D) (None, 7, 7, 512) 2359808 activation_93[0][0] __________________________________________________________________________________________________ bn5b_branch2b (BatchNormalizati (None, 7, 7, 512) 2048 res5b_branch2b[0][0] __________________________________________________________________________________________________ activation_94 (Activation) (None, 7, 7, 512) 0 bn5b_branch2b[0][0] __________________________________________________________________________________________________ res5b_branch2c (Conv2D) (None, 7, 7, 2048) 1050624 activation_94[0][0] __________________________________________________________________________________________________ bn5b_branch2c (BatchNormalizati (None, 7, 7, 2048) 8192 res5b_branch2c[0][0] __________________________________________________________________________________________________ add_31 (Add) (None, 7, 7, 2048) 0 bn5b_branch2c[0][0] activation_92[0][0] __________________________________________________________________________________________________ activation_95 (Activation) (None, 7, 7, 2048) 0 add_31[0][0] __________________________________________________________________________________________________ res5c_branch2a (Conv2D) (None, 7, 7, 512) 1049088 activation_95[0][0] __________________________________________________________________________________________________ bn5c_branch2a (BatchNormalizati (None, 7, 7, 512) 2048 res5c_branch2a[0][0] __________________________________________________________________________________________________ activation_96 (Activation) (None, 7, 7, 512) 0 bn5c_branch2a[0][0] __________________________________________________________________________________________________ res5c_branch2b (Conv2D) (None, 7, 7, 512) 2359808 activation_96[0][0] __________________________________________________________________________________________________ bn5c_branch2b (BatchNormalizati (None, 7, 7, 512) 2048 res5c_branch2b[0][0] __________________________________________________________________________________________________ activation_97 (Activation) (None, 7, 7, 512) 0 bn5c_branch2b[0][0] __________________________________________________________________________________________________ res5c_branch2c (Conv2D) (None, 7, 7, 2048) 1050624 activation_97[0][0] __________________________________________________________________________________________________ bn5c_branch2c (BatchNormalizati (None, 7, 7, 2048) 8192 res5c_branch2c[0][0] __________________________________________________________________________________________________ add_32 (Add) (None, 7, 7, 2048) 0 bn5c_branch2c[0][0] activation_95[0][0] __________________________________________________________________________________________________ activation_98 (Activation) (None, 7, 7, 2048) 0 add_32[0][0] __________________________________________________________________________________________________ dropout_3 (Dropout) (None, 7, 7, 2048) 0 activation_98[0][0] __________________________________________________________________________________________________ batch_normalization_4 (BatchNor (None, 7, 7, 2048) 8192 dropout_3[0][0] __________________________________________________________________________________________________ global_average_pooling2d_2 (Glo (None, 2048) 0 batch_normalization_4[0][0] __________________________________________________________________________________________________ batch_normalization_5 (BatchNor (None, 2048) 8192 global_average_pooling2d_2[0][0] __________________________________________________________________________________________________ dropout_4 (Dropout) (None, 2048) 0 batch_normalization_5[0][0] __________________________________________________________________________________________________ batch_normalization_6 (BatchNor (None, 2048) 8192 dropout_4[0][0] __________________________________________________________________________________________________ dense_2 (Dense) (None, 1103) 2260047 batch_normalization_6[0][0] ================================================================================================== Total params: 25,872,335 Trainable params: 25,806,927 Non-trainable params: 65,408 __________________________________________________________________________________________________
model_s2.compile(optimizer=Adam(lr=1e-3),
loss="binary_crossentropy",
metrics=['accuracy',f1_macro,f2])
#custom_model.compile(optimizer=Adam(lr=1e-3), loss=focal_loss(), metrics=['accuracy',f1_macro,f2])
batch_size_train=32
batch_size_val=32
history=model_s2.fit_generator(generator(data_trainning,batch_size_train),
steps_per_epoch=max(1, len(data_trainning)//batch_size_train),
validation_data=generator(data_val,batch_size_val),#
validation_steps=max(1, len(data_val)//batch_size_val),#
epochs=10,
callbacks=[reduce_lr,checkpoint,tensorboard,reduce_lr])
Epoch 1/10 2389/2389 [==============================] - 1140s 477ms/step - loss: 0.0152 - acc: 0.9971 - f1_macro: 6.5628e-04 - f2: 0.0639 - val_loss: 0.0205 - val_acc: 0.9965 - val_f1_macro: 6.6790e-04 - val_f2: 0.0575 Epoch 00001: val_acc did not improve from 0.99713 Epoch 2/10 2389/2389 [==============================] - 1097s 459ms/step - loss: 0.0142 - acc: 0.9971 - f1_macro: 7.9101e-04 - f2: 0.0702 - val_loss: 0.0295 - val_acc: 0.9949 - val_f1_macro: 0.0015 - val_f2: 0.0687 Epoch 00002: val_acc did not improve from 0.99713 Epoch 3/10 2389/2389 [==============================] - 1089s 456ms/step - loss: 0.0135 - acc: 0.9971 - f1_macro: 0.0013 - f2: 0.0816 - val_loss: 0.0188 - val_acc: 0.9963 - val_f1_macro: 0.0021 - val_f2: 0.0926 Epoch 00003: val_acc did not improve from 0.99713 Epoch 4/10 2389/2389 [==============================] - 1100s 460ms/step - loss: 0.0129 - acc: 0.9972 - f1_macro: 0.0019 - f2: 0.0975 - val_loss: 0.0255 - val_acc: 0.9955 - val_f1_macro: 0.0025 - val_f2: 0.1011 Epoch 00004: val_acc did not improve from 0.99713 Epoch 5/10 1404/2389 [================>.............] - ETA: 5:32 - loss: 0.0126 - acc: 0.9972 - f1_macro: 0.0023 - f2: 0.1071
model_s2.save("../model_0.3478.h5")
#print(K.eval(model_s2.optimizer.lr))
#lr=(K.eval(model_s2.optimizer.lr
#model_s2.compile(optimizer=Adam(lr=lr),
# loss=focal_loss(),
# metrics=['accuracy',f1_macro,f2])
#tensorboard = TensorBoard(log_dir ='training',
# write_graph=True,
# write_images=True,
# update_freq='batch'
# )
#
#reduce_lr = ReduceLROnPlateau(monitor='val_loss',
# factor=0.5,patience=5, min_lr=0.0001)
#
#early_stopping = EarlyStopping(monitor='loss', min_delta=0, patience=10, verbose=1)
#checkpoint = ModelCheckpoint('../weights.{epoch:02d}-{val_acc:.5f}_focal_f1_macro.hdf5',
# monitor='val_loss', verbose=1, save_best_only=True, mode='auto')
#batch_size_train=32
#batch_size_val=32
#history=model_s2.fit_generator(generator(data_trainning,batch_size_train),
# steps_per_epoch=max(1, len(data_trainning)//batch_size_train),
# validation_data=generator(data_val,batch_size_val),#
# validation_steps=max(1, len(data_val)//batch_size_val),#
# epochs=10,
# callbacks=[reduce_lr,checkpoint,tensorboard,reduce_lr])
def my_f2(y_true, y_pred):
assert y_true.shape[0] == y_pred.shape[0]
tp = np.sum((y_true == 1) & (y_pred == 1),axis=1)
tn = np.sum((y_true == 0) & (y_pred == 0),axis=1)
fp = np.sum((y_true == 0) & (y_pred == 1),axis=1)
fn = np.sum((y_true == 1) & (y_pred == 0),axis=1)
p = tp / (tp + fp + K.epsilon())
r = tp / (tp + fn + K.epsilon())
f2 = (1+beta_f2**2)*p*r / (p*beta_f2**2 + r + 1e-15)
return np.mean(f2)
def find_best_fixed_threshold(preds, targs, do_plot=True):
score = []
thrs = np.arange(0, 0.5, 0.01)
for thr in tqdm(thrs):
score.append(my_f2(targs, (preds > thr).astype(int) ))
score = np.array(score)
pm = score.argmax()
best_thr, best_score = thrs[pm], score[pm].item()
print(f'thr={best_thr:.3f}', f'F2={best_score:.3f}')
if do_plot:
plt.plot(thrs, score)
plt.vlines(x=best_thr, ymin=score.min(), ymax=score.max())
plt.text(best_thr+0.03, best_score-0.01, f'$F_{2}=${best_score:.3f}', fontsize=14);
plt.show()
return best_thr, best_score
def creat_square_test(in_img,value=0):
img = cv2.imread("../input/imet-2019-fgvc6/test/"+in_img+'.png')
#grey_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
grey_img=img
h, w = grey_img.shape[:2]
edge_square = max(h,w)
ground_square=np.ones(shape=[edge_square,edge_square,3])*value
if h<w:
x1=np.floor((w-h)/2).astype(int)
x2=np.floor((w-h)/2+h).astype(int)
ground_square[x1:x2,:]=grey_img
elif h>w:
x1=np.floor((h-w)/2).astype(int)
x2=np.floor((h-w)/2+w).astype(int)
ground_square[:,x1:x2]=grey_img
else:
ground_square=grey_img
return ground_square.astype(np.uint8)
model_s2.load_weights("../model_0.3478.h5")
batch=512
n_val = round(len(data_val))//batch
fullValGen =generator(data_val,batch)
lastFullValPred = np.empty((0, 1103))
lastFullValLabels = np.empty((0, 1103))
for i in tqdm(range(n_val+1)):
#print(i)
im, lbl = next(fullValGen)
scores = model_s2.predict(im)
lastFullValPred = np.append(lastFullValPred, scores, axis=0)
lastFullValLabels = np.append(lastFullValLabels, lbl, axis=0)
print(lastFullValPred.shape, lastFullValLabels.shape)
100%|██████████| 65/65 [06:55<00:00, 6.30s/it]
(33280, 1103) (33280, 1103)
best_thr, best_score = find_best_fixed_threshold(lastFullValPred, lastFullValLabels, do_plot=False)
print("best_thr={}, best_score={}".format(best_thr, best_score))
100%|██████████| 50/50 [00:47<00:00, 1.00s/it]
thr=0.060 F2=0.400 best_thr=0.06, best_score=0.3996818735778147
from tqdm import tqdm
submit = pd.read_csv('../input/imet-2019-fgvc6/sample_submission.csv')
result_predict=[]
for i, name in tqdm(enumerate(submit['id'])):
image = creat_square_test(name)
image = resize(image)
score_predict = model_s2.predict(image[np.newaxis]/255)
# print(score_predict)
label_predict = np.arange(1103)[score_predict[0]>=best_thr]
print("label_predict:",label_predict)
str_predict_label = ' '.join(str(l) for l in label_predict)
result_predict.append(str_predict_label)
6it [00:00, 7.45it/s]
label_predict: [ 121 369 587 634 766 1059] label_predict: [ 121 369 1034 1039] label_predict: [ 79 147 189 369 498 813 961 1092] label_predict: [ 13 51 111 147 189 483 573 738 776 813 830 1046 1092] label_predict: [ 51 147 156 189 369 477 612 671 780 813 1092] label_predict: [ 13 405 896 903 1092] label_predict: [ 13 194 477 655 671 813 1092] label_predict: [ 13 51 147 189 335 813 1092]
16it [00:00, 12.92it/s]
label_predict: [ 13 51 147 189 1059] label_predict: [ 51 147 189 552 597 671 780 813 1092] label_predict: [ 147 189 259 418 541 663 800 813 835 1046 1092] label_predict: [ 121 147 189 464 493 552 840 1039 1059] label_predict: [ 147 156 189 418 541 542 579 753 796 813 949 1072 1092] label_predict: [ 79 147 194 477 552 639 671 780 950 1034 1035] label_predict: [ 111 147 189 738 813 1046 1092] label_predict: [ 51 111 147 156 189 212 283 515 554 584 671 746 780 1059] label_predict: [ 51 147 188 189 369 597 612 671 744 813 903] label_predict: [ 79 99 121 182 189 369 420 754 813 1059]
26it [00:00, 20.30it/s]
label_predict: [ 51 147 180 188 733 744 803 813 1092 1099] label_predict: [ 13 14 51 147 552 626 716 1056] label_predict: [ 147 188 189 552 671 780 1034 1035] label_predict: [ 79 99 498 813 961 1092] label_predict: [147 156 189 477 485 603 607 671 780] label_predict: [ 51 79 147 156 188 477 489 612 671 738 780 813 1046 1059 1062 1092] label_predict: [ 79 147 194 369 671 813] label_predict: [ 51 147 189 671 813 1046 1092] label_predict: [ 111 147 189 738 776 813 1046 1092]
36it [00:00, 28.64it/s]
label_predict: [147 156 189 477 485 603 671 695 780 835] label_predict: [ 147 813 896 1092] label_predict: [ 51 147 189 554 744 813 896 903 1092] label_predict: [ 51 79 111 147 156 227 322 339 393 477 489 584 612 671 738 780 813 954 1030 1046 1059 1092] label_predict: [ 111 147 189 259 418 541 813 949 1046 1092] label_predict: [ 147 369 436 552 671 780 1019] label_predict: [ 51 147 189 813 896 903 1092] label_predict: [ 51 79 147 156 189 369 671 780 1059] label_predict: [ 111 147 189 483 738 776 813 1046 1092] label_predict: [ 51 147 189 813 1092]
46it [00:01, 35.25it/s]
label_predict: [ 13 51 147 189 335 813 1092] label_predict: [ 147 188 744 813 1092] label_predict: [ 79 147 671 813 896 903 1092] label_predict: [ 51 121 147 718 813 1092] label_predict: [ 51 79 147 189 671 738 776 780 1046] label_predict: [ 161 194 204 304 487 718 813 1059] label_predict: [ 13 369 493 634 754 840] label_predict: [121 147 189 430 434 501 545 559] label_predict: [ 147 813 1092] label_predict: [ 79 99 121 489 1059]
51it [00:01, 35.71it/s]
label_predict: [ 13 51 147 480 483 737 738 776 813 975 1046 1092] label_predict: [ 147 194 477 671 744 780 813 1046 1092 1099] label_predict: [ 121 147 189 335 369 433 436 813 1059 1092] label_predict: [ 131 147 189 378 671 768 780 1034] label_predict: [ 51 147 189 477 671 780 813 1046 1092] label_predict: [121 304 415 464 872] label_predict: [ 99 121 433 1059] label_predict: [ 79 147 194 489 612 671 744 813 1059]
61it [00:01, 36.27it/s]
label_predict: [ 13 79 147 189 813 903 1092] label_predict: [ 121 433 1039 1059] label_predict: [ 13 51 147 189 552 612 671 744 780 813 903 1092] label_predict: [ 147 189 373 597 671 768 1034 1035] label_predict: [ 13 14 51 147 552 626 671 780 1056] label_predict: [ 13 51 147 813 896 1092] label_predict: [ 51 111 147 189 671 738 776 813 835 1046 1092] label_predict: [ 99 125 161 304 718 1059]
71it [00:01, 36.82it/s]
label_predict: [ 79 147 156 189 194 487 671 738 780 813 1059 1062] label_predict: [ 13 477 554 670 693 729 746 755 813 896 1092] label_predict: [ 51 147 156 189 813 1092] label_predict: [ 483 494 501 737 738 776 813 830 923 931 1033 1046] label_predict: [ 79 184 188 313 487 758 1059 1062] label_predict: [ 147 189 418 813 1046 1092] label_predict: [ 79 147 189 671 780 813 1034 1035] label_predict: [ 79 116 121 133 189 239 289 415 464 487 624 650 681 684 704 748 925 955 1034 1062]
76it [00:01, 38.69it/s]
label_predict: [ 51 147 156 189 538 541 542 616 813 949 993 1092] label_predict: [ 51 147 189 744 813 896 1092] label_predict: [ 13 51 147 552 671 780] label_predict: [ 127 223 245 289 300 344 368 369 436 587 766 1039 1059 1084] label_predict: [ 79 147 188 189 369 518 671 780 1034 1035] label_predict: [ 121 231 313 369 754 962 1039] label_predict: [ 147 813 1046 1059 1092] label_predict: [ 79 147 188 189 671 780 1034 1035] label_predict: [121 147 415 552 624 671 682 684 724 738 872 925]
86it [00:02, 40.25it/s]
label_predict: [ 70 147 189 259 418 541 663 796 800 813 835 949 1072 1092] label_predict: [ 147 156 189 332 418 541 542 813 949 1072 1092] label_predict: [ 188 282 489 1059] label_predict: [ 79 147 189 369 813 1059] label_predict: [ 79 184 194 489 671 1059] label_predict: [ 111 147 156 189 259 418 541 542 813 949 1092] label_predict: [ 51 121 147 189 434 813 1092] label_predict: [ 121 433 724 955 962 1023] label_predict: [ 51 111 147 480 483 573 725 737 738 776 813 830 923 1046]
96it [00:02, 41.18it/s]
label_predict: [ 13 51 111 147 189 483 738 776 813 1046 1092] label_predict: [ 147 156 189 259 418 541 542 796 813 896 949 1072 1092] label_predict: [ 13 51 147 552 626 716] label_predict: [ 51 147 189 813 896 903 1092] label_predict: [ 13 147 189 552 626 671 780] label_predict: [ 147 156 189 259 418 541 542 579 813 949 993 1012 1020 1072 1092] label_predict: [ 13 51 147 813 1092] label_predict: [121 147 188 813] label_predict: [121 432 724 738 962]
106it [00:02, 43.94it/s]
label_predict: [ 79 147 156 189 487 498 813 961 1059 1062 1092] label_predict: [ 51 79 147 156 189 420 477 612 671 780 813 1046 1059 1062 1092] label_predict: [ 147 156 189 369 586 587 766 833 1020 1039 1059 1084] label_predict: [ 147 189 194 369 477 671 780 1034] label_predict: [ 79 194 487 671 780 1059 1062] label_predict: [ 99 121 498 813 896 961 1092] label_predict: [ 147 156 189 813 835 1092] label_predict: [ 13 14 51 147 552 626 1056] label_predict: [ 99 121 161 304 718 774 1059] label_predict: [ 13 813 896 1092]
116it [00:02, 45.14it/s]
label_predict: [ 147 156 189 418 541 542 796 813 896 949 1072 1092] label_predict: [ 13 51 147 189 552 626 671 780] label_predict: [ 99 121 161 304 718 813 961 1059] label_predict: [ 147 189 744 813 896 903 1092] label_predict: [ 25 51 147 156 161 189 283 584 671 813 1059 1062 1092] label_predict: [ 147 813 896 903 1092] label_predict: [ 13 51 147 1022 1059] label_predict: [ 79 121 194 239 487 718 813 844 961 1059 1062] label_predict: [ 13 51 147 552 655 671 780 813 1092] label_predict: [ 79 194 487 671 1059 1062]
126it [00:03, 45.33it/s]
label_predict: [ 121 369 1059] label_predict: [ 194 404 655 744 813 1020 1046 1092 1099] label_predict: [ 147 188 189 813 1059 1092] label_predict: [ 121 194 369 1059] label_predict: [ 13 51 147 156 532 813 1059 1092] label_predict: [ 147 189 655 744 813 903 1092] label_predict: [ 147 156 189 655 671 744 813 1092] label_predict: [ 188 189 369 518 671 780 1034] label_predict: [ 51 147 189 430 434 501 559 738 813 931 1092]
136it [00:03, 42.75it/s]
label_predict: [ 121 420 813 1092] label_predict: [121 415 684] label_predict: [ 99 161 217 236 304 718 774 813 1059 1061] label_predict: [ 13 14 147 552 626 780] label_predict: [ 13 51 147 483 501 738 813 1046 1092] label_predict: [ 147 156 189 259 418 541 542 579 813 949 1072 1092] label_predict: [ 147 189 194 477 639 671 780 1034] label_predict: [ 79 147 189 194 671 780 1059] label_predict: [ 147 156 189 541 813 835 1092]
141it [00:03, 38.62it/s]
label_predict: [ 184 369 766 833 884 1039] label_predict: [ 156 189 300 369 587 766 1020 1059 1084] label_predict: [ 79 147 156 189 813 1092] label_predict: [ 121 487 718 813 1039 1059] label_predict: [ 79 147 189 369 671 1059] label_predict: [ 79 147 188 189 597 639 671 780 1034 1035] label_predict: [ 13 147 189 552 671 768 780] label_predict: [ 99 313 420 738 962]
151it [00:03, 39.68it/s]
label_predict: [ 51 147 156 189 744 813 835 1092] label_predict: [ 51 147 156 189 369 813 1059] label_predict: [ 147 156 189 259 418 541 813 835 949 1072 1092] label_predict: [ 147 156 189 477 485 744 813 835 1092] label_predict: [ 147 156 161 189 813 1059 1092] label_predict: [ 99 161 304 369 464 634 754 840 872] label_predict: [ 13 51 194 404 744 813 1092 1099] label_predict: [ 147 156 189 259 418 541 542 579 813 949 1072 1092]
160it [00:03, 37.92it/s]
label_predict: [ 194 580 734 738 813 1046 1092 1099] label_predict: [ 13 51 147 369 552 671 720] label_predict: [ 13 477 670 813 1092] label_predict: [ 147 156 189 541 813 1092] label_predict: [ 79 161 487 738 813 961 1059 1062 1092] label_predict: [ 147 189 194 477 671 780 1034] label_predict: [ 131 147 189 552 671 768 780 1034] label_predict: [ 13 51 111 147 776 813 1046 1092]
164it [00:04, 35.75it/s]
label_predict: [ 79 189 194 436 1059] label_predict: [ 147 189 369 373 597 671 768 780 1034 1035] label_predict: [ 147 156 189 813 1092] label_predict: [ 188 369 1039 1059] label_predict: [ 33 313 420 738 962] label_predict: [ 51 147 194 404 744 813 1092] label_predict: [ 51 147 189 813 903 1092] label_predict: [ 147 156 189 259 418 541 542 800 813 835 949 1072 1092]
174it [00:04, 39.57it/s]
label_predict: [ 51 147 189 744 813 896 903 1092] label_predict: [ 147 188 189 304 612 671 774 813 1092] label_predict: [ 79 147 189 655 813 1092] label_predict: [ 99 121 192 304 1039] label_predict: [ 147 189 718 813 896 903 1092] label_predict: [ 121 188 231 369 464 507 1039 1059] label_predict: [ 156 813 1059 1092] label_predict: [ 9 33 99 237 313 420 708 738 813 835 955 962] label_predict: [ 184 369 493 1039 1059]
184it [00:04, 39.87it/s]
label_predict: [ 489 1059] label_predict: [147 156 189 485 603 607 671 695 780] label_predict: [ 147 189 554 744 813 896 903 1092] label_predict: [121 415 684 704 724 813 961] label_predict: [147 156 189 369 436 671 720 744 780 813] label_predict: [ 51 147 189 813 896 1092] label_predict: [ 147 156 189 813 835 1092] label_predict: [ 51 79 147 156 194 477 671 780 1059] label_predict: [147 156 189 485 603 671 780]
194it [00:04, 42.06it/s]
label_predict: [ 13 51 147 189 671 744 813 903 1092] label_predict: [ 99 125 161 304 1059] label_predict: [ 51 79 147 156 189 369 477 612 671 780 813 1092] label_predict: [ 51 79 147 156 189 283 671 780 813 1059] label_predict: [ 13 147 189 813 896 1092] label_predict: [ 51 111 147 189 483 573 737 738 776 813 830 923 1046 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 121 415 464 872 922 1039] label_predict: [ 111 147 189 483 738 776 813 1046 1092]
204it [00:05, 42.37it/s]
label_predict: [ 13 51 147 189 813 1092] label_predict: [ 51 99 147 189 813 961 1092] label_predict: [ 51 147 813 1046 1092] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 1 33 121 275 432 582 724 1023 1059] label_predict: [ 13 813 896 1092] label_predict: [ 51 147 156 189 515 813 1059 1062 1092] label_predict: [ 13 477 813 1092] label_predict: [ 147 189 418 541 813 1046 1092]
209it [00:05, 41.89it/s]
label_predict: [ 147 156 189 813 833 872 1092] label_predict: [ 51 79 147 156 189 482 498 813 961 1092] label_predict: [ 13 147 189 671 813 896 903 1092] label_predict: [ 147 156 189 259 418 541 744 813 835 1092] label_predict: [ 13 147 189 813 872 896 903 1092] label_predict: [ 13 483 501 737 738 776 813 1046 1092] label_predict: [ 147 156 189 541 813 896 949 1092] label_predict: [ 121 188 1039 1059] label_predict: [ 79 313 813 903 962]
219it [00:05, 39.09it/s]
label_predict: [ 111 147 156 189 259 813 835 1046 1092] label_predict: [ 51 79 147 156 188 189 420 428 477 671 738 744 780 803 813 835 1046 1059 1092] label_predict: [ 13 405 896 903 1092] label_predict: [ 147 189 552 671 780 1034] label_predict: [147 156 189 369 587 738 766] label_predict: [ 13 147 189 369 552 671 780 1034] label_predict: [ 79 194 369 671 780 1059]
228it [00:05, 37.99it/s]
label_predict: [ 79 147 189 498 813 961 1092] label_predict: [ 79 121 147 194 671 776 830 1046 1059 1099] label_predict: [ 99 147 189 498 718 813 896 961 1092] label_predict: [ 79 147 156 189 477 597 671 768 780 813 835 1034 1092] label_predict: [ 79 194 813 1059 1062 1092] label_predict: [ 147 189 639 671 780 1034 1035] label_predict: [ 121 184 487 833 1059] label_predict: [ 79 194 487 1059 1062] label_predict: [ 13 147 813 896 903 1092]
238it [00:05, 39.13it/s]
label_predict: [ 79 147 188 194 477 671 780 813 1046 1092 1099] label_predict: [ 79 147 156 194 477 612 671 780 1059 1062] label_predict: [ 147 161 189 498 813 961 1092] label_predict: [ 147 189 420 738 744 813 835 962 1092] label_predict: [ 147 188 189 671 813 1059 1092] label_predict: [ 121 194 369 1039 1059] label_predict: [ 51 147 156 189 744 813 896 903 1092] label_predict: [ 99 304 369 774 813 1059 1061] label_predict: [ 147 189 663 813 896 1092]
247it [00:06, 39.32it/s]
label_predict: [127 147 188 369 493 496 552 675 716 754] label_predict: [ 79 147 156 189 671 780 813 1092] label_predict: [ 111 147 189 430 434 480 483 501 545 548 559 580 737 738 813 931 975 1046] label_predict: [ 13 147 189 552] label_predict: [ 99 188 304 487 489 1059] label_predict: [ 147 156 189 744 813 896 1092] label_predict: [ 147 156 189 369 671 744 813 1019 1059 1092] label_predict: [ 99 161 304 718 813 896 961 1092] label_predict: [ 13 147 369 552 675 978 1039]
255it [00:06, 38.71it/s]
label_predict: [ 79 121 147 189 671 780 1034] label_predict: [ 147 189 194 639 671 780 1034] label_predict: [ 51 147 304 744 813 903 1059] label_predict: [121 147 161 304 634 744 813 872 903] label_predict: [ 13 194 483 776 830 1034 1046] label_predict: [ 79 194 487 624 1059 1062] label_predict: [ 51 147 189 813 1092] label_predict: [ 51 147 156 189 259 541 813 1092] label_predict: [ 13 404 405 896 903 1092]
263it [00:06, 38.53it/s]
label_predict: [ 121 304 415 1039] label_predict: [ 121 188 369 487 1039 1059] label_predict: [ 13 477 671 746 813 896 1092] label_predict: [ 147 189 194 597 671 780 1034] label_predict: [ 51 147 189 813 1092] label_predict: [ 13 51 147 813 1046 1092] label_predict: [ 147 189 477 671 780 1034 1035] label_predict: [ 156 180 188 189 428 485 615 744 750 803 813 1099]
271it [00:06, 38.94it/s]
label_predict: [ 51 111 147 189 420 483 573 733 737 738 776 813 1046 1092] label_predict: [ 25 161 189 420 534 734 813 835 974 1059 1092] label_predict: [ 121 147 184 189 369 555 587 833 884 1020 1039 1059] label_predict: [ 51 111 147 156 189 733 813 835 1092] label_predict: [ 79 147 189 194 671 813 1092] label_predict: [ 51 147 156 189 259 418 541 542 813 1072 1092] label_predict: [ 79 369 1059 1061] label_predict: [ 51 79 147 189 369 1059] label_predict: [121 369 464]
281it [00:07, 39.53it/s]
label_predict: [ 13 51 147 156 369 671 780] label_predict: [ 147 156 189 418 541 671 813 949 1046 1092] label_predict: [ 147 189 671 780 1034] label_predict: [ 51 147 189 335 813 835 1092] label_predict: [ 147 156 189 259 418 541 542 579 813 949 1072 1092] label_predict: [ 79 121 189 369 438 813 961] label_predict: [ 99 161 304 718 744 813 903 1092] label_predict: [ 79 194 813 844 1092]
285it [00:07, 39.18it/s]
label_predict: [ 13 111 147 480 483 494 501 512 545 737 738 776 813 923 931 975 1046] label_predict: [ 147 189 418 541 800 813 835 949 1092] label_predict: [ 121 125 161 204 304 369 464 634 872 884 1039] label_predict: [ 194 477 483 671 738 744 780 813 1046 1092 1099] label_predict: [ 13 41 131 147 189 552 671 768 780] label_predict: [ 131 147 189 552 671 768 780 1034] label_predict: [ 13 51 121 147 813 1046 1092]
293it [00:07, 34.29it/s]
label_predict: [ 51 79 147 156 194 369 489 584 612 671 780 1030 1059] label_predict: [ 188 369 563 566 1061 1099] label_predict: [ 121 147 189 552 597 671 1034] label_predict: [ 13 14 51 147 552 626 671 780] label_predict: [ 121 231 489 1039 1059] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 147 156 189 813 835 1092]
301it [00:07, 34.21it/s]
label_predict: [ 51 79 304 477 489 584 612 671 780 1059 1062] label_predict: [ 147 738 776 813 830 1046 1092] label_predict: [ 13 121 432 433 520 552 724 1039] label_predict: [ 51 79 147 189 477 597 639 671 780 813 950 1034 1035 1092] label_predict: [ 147 156 189 485 671 780 813 835 1092] label_predict: [ 79 147 189 194 671 780 813 1059 1092] label_predict: [ 51 147 189 718 813 896 903 1092] label_predict: [ 13 51 147 698 813 896 1092]
311it [00:07, 39.14it/s]
label_predict: [ 147 189 813 1092] label_predict: [ 13 51 147 189 671 780 1059] label_predict: [121 161 204 304 464 634 872] label_predict: [ 147 188 428 434 615 744 803 813 1099] label_predict: [ 99 121 304 489 758 1059] label_predict: [ 147 156 189 369 436 587 840 1059] label_predict: [ 13 51 147 552 655 671 780] label_predict: [ 121 313 962 1059] label_predict: [ 369 1034]
321it [00:08, 39.60it/s]
label_predict: [ 51 147 156 189 194 477 489 612 671 780 813 978 1059 1092] label_predict: [ 79 147 369 671 1059] label_predict: [ 147 189 554 744 813 896 903 1092] label_predict: [ 79 147 189 813 903 1092] label_predict: [ 51 111 147 189 813 1046 1092] label_predict: [ 13 51 111 147 189 483 501 738 813 1046 1092] label_predict: [ 121 188 1059] label_predict: [ 33 99 313 420 738 813 835 962] label_predict: [ 121 147 189 813 1059]
326it [00:08, 40.01it/s]
label_predict: [ 147 189 813 835 1092] label_predict: [ 13 51 147 189 430 434 501 508 559 615 744 747 813 1089 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 51 76 147 156 189 212 339 671 780 813 961 1059 1062 1092] label_predict: [ 79 147 189 194 461 477 639 671 780 1034 1035 1059] label_predict: [121 147 415 485 552 624 671 682 684 724 738 748 754 844 872 925 955 961] label_predict: [ 51 147 189 671 780 813 1092] label_predict: [ 131 147 189 378 671 768 780 1034] label_predict: [ 121 415 433 922 955 1039]
336it [00:08, 39.76it/s]
label_predict: [ 51 147 189 501 738 813 1046 1092] label_predict: [ 111 147 189 813 896 1092] label_predict: [ 121 432 433 724 962 1039] label_predict: [ 147 188 189 335 744 813 1092] label_predict: [ 13 121 433 1039 1059] label_predict: [ 13 121 147 433 436 552 626 671 720 780] label_predict: [ 79 188 189 420 477 639 671 780 813 1059] label_predict: [ 13 404 405 813 896 903 1092]
344it [00:08, 36.76it/s]
label_predict: [ 79 194 487 624 671 1059 1062] label_predict: [ 194 744 813 1046 1092] label_predict: [ 51 147 189 744 813 1092] label_predict: [ 51 111 147 189 813 1092] label_predict: [ 79 121 147 156 189 482 498 813 1059 1092] label_predict: [ 13 51 147 744 813 896 903 1092] label_predict: [ 51 147 156 189 420 477 671 780 813 835 1046 1092] label_predict: [ 147 189 813 1092]
353it [00:08, 34.21it/s]
label_predict: [121 188 415 724 955 962] label_predict: [ 51 79 147 156 671 780 1059] label_predict: [ 51 147 189 212 515 1059] label_predict: [ 79 147 156 194 477 489 584 612 671 738 780 1046 1059 1062] label_predict: [ 188 369 464 507 1039 1059 1085] label_predict: [ 13 51 147 813 896 1092] label_predict: [147 156 189 485 671 780]
357it [00:09, 33.68it/s]
label_predict: [ 13 147 655 813 896 1092] label_predict: [ 51 147 189 733 813 835 993 1046 1092] label_predict: [ 13 51 147 483 738 776 813 830 1046] label_predict: [ 51 79 147 194 477 671 780 813 1092 1099] label_predict: [ 147 156 189 813 949 1092] label_predict: [ 13 477 552 671 780]
365it [00:09, 32.13it/s]
label_predict: [ 51 111 147 189 480 483 737 738 776 813 923 1046] label_predict: [ 79 194 477 671 780 813 1046 1059 1092] label_predict: [ 51 147 532 813 1059 1092] label_predict: [ 13 51 121 147 189 433 552 671 780] label_predict: [ 13 405 776 830 896 1046 1092] label_predict: [ 51 147 156 189 612 671 813 1046 1092] label_predict: [ 79 147 189 612 671 780 813 1059]
369it [00:09, 30.85it/s]
label_predict: [ 125 161 304 1059] label_predict: [ 111 147 189 483 738 776 813 1046 1092] label_predict: [ 13 121 552 675 716 978] label_predict: [ 51 147 189 813 1092] label_predict: [ 51 133 147 156 189 498 813 961 1092] label_predict: [ 194 404 744 813 896 1092] label_predict: [ 13 51 147 554 744 813 896 903 1092]
377it [00:09, 30.79it/s]
label_predict: [ 147 156 189 259 418 541 542 813 949 1072 1092] label_predict: [ 147 189 663 813 896 903 1092] label_predict: [ 194 813 896 1059 1092] label_predict: [ 147 189 663 800 813 1092] label_predict: [ 121 369 489 1039 1059]
385it [00:10, 31.66it/s]
label_predict: [ 13 147 189 813 896 903 1092] label_predict: [ 51 76 147 156 189 212 671 780 813 1059] label_predict: [ 79 147 188 518 671 780 1034 1035] label_predict: [182 464 493 634 754 840 872 922] label_predict: [ 13 147 156 189 813 896 1092] label_predict: [ 147 189 813 835 1046 1092] label_predict: [ 121 161 304 369 464 634 840 872 1039 1061]
389it [00:10, 32.29it/s]
label_predict: [ 13 147 698 813 896 903 1092] label_predict: [ 79 116 161 194 304 487 758 1059 1062] label_predict: [ 9 33 99 313 420 738 813 835 962] label_predict: [ 147 156 189 259 541 813 1092] label_predict: [ 13 147 188 671 813 1092] label_predict: [ 51 121 147 552]
397it [00:10, 29.05it/s]
label_predict: [ 70 111 147 189 259 418 420 462 538 616 733 734 738 800 813 835 993 1046 1092] label_predict: [ 13 813 896 1092] label_predict: [ 147 189 671 744 780 813 1092] label_predict: [ 147 189 434 738 813 1046 1092] label_predict: [ 51 147 189 430 434 501 554 559 615 666] label_predict: [ 121 433 724 1039 1059]
401it [00:10, 29.48it/s]
label_predict: [ 79 147 194 369 612 655 671 744 780 813 1092] label_predict: [121 147 189 434 597 724] label_predict: [ 13 14 51 147 552 626 1056] label_predict: [ 111 147 156 189 259 420 541 733 734 813 835 993 1046 1092] label_predict: [ 121 884 1039] label_predict: [ 79 147 189 477 552 671 768 780 1034 1035]
408it [00:10, 29.34it/s]
label_predict: [ 79 194 487 1059 1062] label_predict: [ 13 147 552 626] label_predict: [ 111 147 189 813 1046 1092] label_predict: [ 51 147 189 304 813 961 1092] label_predict: [ 13 477 746 813 896 1092] label_predict: [ 13 147 813 896 1092] label_predict: [ 79 147 189 194 612 744 813 903]
416it [00:11, 30.13it/s]
label_predict: [ 51 147 369 1059] label_predict: [ 13 147 813 1046 1092] label_predict: [ 51 147 189 813 835 1092] label_predict: [ 79 194 1059] label_predict: [313 420 962] label_predict: [ 13 51 147 189 744 813 896 903 1092] label_predict: [ 51 147 189 430 501 559 747 813 993 1092]
424it [00:11, 30.93it/s]
label_predict: [ 99 121 161 369 718 813 1092] label_predict: [ 13 369 813 903 1059] label_predict: [ 13 147 813 1046 1092] label_predict: [ 51 99 161 189 498 813 961 1092] label_predict: [ 18 25 61 161 331 489 584 758 813 1059 1062] label_predict: [ 13 147 813 896 1092] label_predict: [ 51 147 156 189 813 961 1092]
428it [00:11, 29.43it/s]
label_predict: [ 147 194 404 813 1020 1092] label_predict: [ 51 111 147 189 420 480 483 733 737 738 776 813 1046 1092] label_predict: [ 79 161 194 487 1059 1062] label_predict: [ 147 156 189 259 420 541 733 813 835 993 1092] label_predict: [ 79 147 156 189 813 1092] label_predict: [ 51 147 156 189 744 813 835 1092]
434it [00:11, 28.21it/s]
label_predict: [ 147 156 189 813 835 1092] label_predict: [ 189 498 718 813 1092] label_predict: [ 111 147 156 189 259 420 733 738 776 813 1046 1092] label_predict: [ 483 501 738 813 931 1046] label_predict: [ 51 147 189 616 744 747 813 952 993 1092 1093] label_predict: [ 13 51 147 813 896 903 1092]
441it [00:11, 29.98it/s]
label_predict: [ 147 156 189 671 813 1092] label_predict: [ 79 194 487 584 671 1059 1062] label_predict: [ 147 813 896 1092] label_predict: [ 18 61 99 125 161 304 331 487 489 584 718 758 813 1059] label_predict: [ 13 51 111 147 189 813 1046 1092] label_predict: [ 79 194 369 489 584 1059] label_predict: [ 25 161 194 420 477 534 584 611 733 734 797 813 844 897 953 974 993 1059 1092]
449it [00:12, 29.23it/s]
label_predict: [ 99 121 498 813 961 1059 1092] label_predict: [ 188 369 489 774 1039 1059] label_predict: [ 79 99 121 813 961 1059] label_predict: [ 51 147 813 1046 1092] label_predict: [ 79 147 156 189 498 813 961 1059 1092] label_predict: [ 13 51 147 189 538 616 655 671 780 813 1046 1092]
455it [00:12, 28.19it/s]
label_predict: [ 147 156 189 259 418 541 542 813 835 1092] label_predict: [ 79 194 420 489 671 1059] label_predict: [ 13 51 79 111 147 480 483 553 573 725 737 738 776 813 830 923 1046] label_predict: [ 147 189 639 671 780 1034 1035] label_predict: [ 194 738 813 1020 1046 1092] label_predict: [ 13 51 147 189 552 671 780]
458it [00:12, 27.45it/s]
label_predict: [ 79 194 487 671 1059 1062] label_predict: [ 79 121 184 194 313 464 962 1039 1059] label_predict: [ 147 194 404 671 813 1020 1092] label_predict: [ 121 813 896 1092] label_predict: [ 79 147 189 671 780 813 1059]
461it [00:12, 25.49it/s]
label_predict: [ 13 477 554 670 693 813 896 975 1092] label_predict: [ 121 147 189 420 671 1059] label_predict: [ 13 121 147 433 552 671 724 768 780]
467it [00:13, 20.82it/s]
label_predict: [ 13 147 552 671 716 754 780 1059] label_predict: [ 180 188 733 803 813 1092 1099] label_predict: [ 25 161 584 758 813 1059 1062 1092] label_predict: [ 51 194 404 744 813 1020 1092 1099] label_predict: [ 13 51 147 813 1092] label_predict: [ 79 147 189 194 671 780 813 1046 1092]
473it [00:13, 21.98it/s]
label_predict: [ 111 147 189 738 813 1046 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 79 147 156 188 189 671 780 813 1034 1035] label_predict: [ 121 498 718 813 961 1092] label_predict: [ 13 51 147 189 813 896 1092]
479it [00:13, 24.14it/s]
label_predict: [ 147 189 194 738 813 1059 1092] label_predict: [ 79 121 182 194 754 1039 1059] label_predict: [ 188 194 369 489 813 1059] label_predict: [ 13 14 51 147 552 626 1056] label_predict: [ 121 420 582 813 1023 1092] label_predict: [ 51 147 189 430 434 559 615 813]
485it [00:13, 24.34it/s]
label_predict: [ 13 147 813 896 903 1092] label_predict: [ 161 204 217 236 304 1061] label_predict: [ 13 51 147 189 738 776 813 1046 1092] label_predict: [ 13 369 655 665 813] label_predict: [ 51 79 147 156 189 671 813 1059 1062 1092]
491it [00:14, 24.38it/s]
label_predict: [ 121 147 189 450 558 744 813 903 1092] label_predict: [ 121 369 489 774 1059 1061] label_predict: [ 99 147 189 304 498 718 813 961 1092] label_predict: [ 51 147 156 189 369 498 671 813 1059 1092] label_predict: [ 147 189 259 813 835 1046 1092] label_predict: [ 51 147 189 671 780 813 1092]
497it [00:14, 25.22it/s]
label_predict: [ 35 147 313 420 738 813 962] label_predict: [ 147 189 813 835 1092] label_predict: [ 121 147 558 744 813 903 1092] label_predict: [ 13 477 670 813 1092] label_predict: [ 51 147 156 189 671 813 1059 1092] label_predict: [ 99 161 236 304 331 718 774 813 1061]
503it [00:14, 26.10it/s]
label_predict: [ 51 147 189 813 1092] label_predict: [ 79 231 282 487 489 1039 1059] label_predict: [ 194 369 671 780 1034 1046 1059 1098] label_predict: [ 121 369 1039 1059] label_predict: [ 121 194 1039] label_predict: [ 147 156 189 335 671 744 813 1092]
506it [00:14, 24.23it/s]
label_predict: [ 13 51 147 189 718 744 813 896 903 1092] label_predict: [ 147 189 552 671 768 780 1034] label_predict: [ 13 51 147 189 813 903 1092] label_predict: [ 131 147 189 477 639 671 780 1034] label_predict: [ 99 121 498 718 813 896 961 1092]
512it [00:14, 23.56it/s]
label_predict: [ 51 147 189 813 1092] label_predict: [ 51 147 156 189 212 369 671 1059] label_predict: [ 51 147 156 189 813 1059 1062] label_predict: [ 79 147 156 194 477 671 780 813 1046 1092] label_predict: [ 121 147 188 189 597 671 813 1092]
518it [00:15, 25.91it/s]
label_predict: [ 51 147 156 189 671 813 1059] label_predict: [147 156 189 485 671 780] label_predict: [ 147 194 671 744 780 813 1046 1092 1099] label_predict: [ 33 121 256 420 432 582 724 738 955 962 1023] label_predict: [ 99 161 718 813 896 1092] label_predict: [ 79 184 194 489 962 1059]
524it [00:15, 26.80it/s]
label_predict: [ 434 724 813 1059 1092] label_predict: [ 79 147 156 227 322 369 477 489 612 671 780 954 1046] label_predict: [ 13 51 147 189 744 813 903 1092] label_predict: [ 147 189 813 1092] label_predict: [ 51 147 156 189 227 477 612 671 780 813 961 1092] label_predict: [ 13 121 147 738 1046]
530it [00:15, 24.68it/s]
label_predict: [131 147 189 378 552 671 768 780] label_predict: [ 51 111 135 147 156 212 227 283 322 477 489 554 584 612 671 746 780 954 1059] label_predict: [ 194 671 738 813 1092] label_predict: [ 131 147 189 378 552 671 768 780 1034] label_predict: [ 13 147 698 813 896 903 1092]
533it [00:15, 23.87it/s]
label_predict: [ 813 1046 1092] label_predict: [ 51 121 1059] label_predict: [ 111 147 156 189 420 680 733 813 835 953 1092] label_predict: [ 147 189 418 800 813 835 949 1092] label_predict: [ 99 121 161 304 718 813 1092]
540it [00:15, 27.10it/s]
label_predict: [ 25 161 331 534 734 813 953 974 1059 1092] label_predict: [ 51 79 147 156 194 477 671 780 813 1059 1062 1092] label_predict: [ 13 147 369 813 872 896 903 1092] label_predict: [ 99 125 161 304 1039 1059] label_predict: [ 13 147 813 1046 1092] label_predict: [ 147 189 194 671 780 1034]
546it [00:16, 24.42it/s]
label_predict: [ 79 121 194 369 1039 1059] label_predict: [ 70 147 189 259 418 541 663 800 813 835 993 1092] label_predict: [ 147 189 813 896 903 1092] label_predict: [ 13 121 127 464 552 1039] label_predict: [ 51 111 147 189 813 1092]
552it [00:16, 25.93it/s]
label_predict: [ 99 121 125 161 192 304 495 1039] label_predict: [ 121 188 369 428 563 566 582 615 724 950 1023 1034 1061 1099] label_predict: [ 121 147 156 189 744 813 835 1059 1092] label_predict: [ 147 156 189 259 418 541 542 813 835 949 1072 1092] label_predict: [ 147 189 418 541 542 796 813 949 1072 1092] label_predict: [ 51 147 156 189 541 744 813 1092]
556it [00:16, 27.40it/s]
label_predict: [ 121 161 304 813 961 1092] label_predict: [ 13 51 111 147 420 480 483 501 573 725 737 738 776 813 830 923 1046 1081] label_predict: [ 121 188 189 369 428 558 582 1023 1034] label_predict: [ 51 79 147 189 813 1059] label_predict: [ 13 404 405 896 1092] label_predict: [ 147 189 800 813 1092]
562it [00:16, 25.91it/s]
label_predict: [ 111 147 189 813 835 1092] label_predict: [ 51 147 194 671 780 813 1092] label_predict: [ 51 147 194 744 813 1046 1092] label_predict: [ 147 156 189 259 418 541 542 813 835 949 1020 1072 1092] label_predict: [ 51 111 147 156 189 212 283 515 554 584 586 628 746 813 889 1059] label_predict: [ 194 483 737 738 744 776 813 830 1046 1092 1099]
568it [00:17, 24.61it/s]
label_predict: [ 121 304 1059] label_predict: [ 79 147 189 420 671 738 813 835 1059 1092] label_predict: [ 147 156 418 541 542 796 813 949 1072 1092] label_predict: [ 131 147 189 378 671 768 780 1034] label_predict: [ 121 304 718 813 903 1092]
575it [00:17, 27.22it/s]
label_predict: [ 51 147 189 813 835 1092] label_predict: [ 111 147 156 189 483 501 737 738 776 813 1046 1092] label_predict: [ 189 430 483 501 545 559 737 738 813 931 1046] label_predict: [ 480 483 501 738 813 931 1046] label_predict: [ 51 79 147 188 671 738 813 1046 1059 1062] label_predict: [ 79 147 194 489 671 780 1059] label_predict: [ 13 147 189 501 519 738 813 1092]
579it [00:17, 28.04it/s]
label_predict: [ 51 147 156 189 477 485 603 671 780] label_predict: [ 188 369 1039 1059] label_predict: [ 13 445 693 813 896 903 1092] label_predict: [ 51 147 156 189 212 369 515 671 780 1059] label_predict: [ 51 147 156 189 212 369 584 671 780 813 1059 1092] label_predict: [ 99 125 304 487 489 758 1059]
587it [00:17, 29.56it/s]
label_predict: [ 147 189 259 744 796 813 835 903 1092] label_predict: [ 121 194 369 1039 1059] label_predict: [ 51 79 147 156 189 194 489 584 671 780 1059] label_predict: [ 51 147 189 813 896 1092] label_predict: [ 147 156 189 259 418 541 663 796 800 813 835 949 1072 1092] label_predict: [ 13 51 147 189 369 436 552 655 671 780 813] label_predict: [ 813 896 961 1092]
594it [00:17, 29.76it/s]
label_predict: [ 13 51 147 744 813 896 903 1092] label_predict: [ 131 147 156 189 552 671 768 780 1034] label_predict: [ 147 189 639 671 780 1034 1035] label_predict: [ 111 147 483 737 738 776 813 830 1046 1092] label_predict: [ 13 51 147] label_predict: [ 111 147 156 189 259 541 813 1046 1092] label_predict: [ 79 147 156 189 671 813 1092]
601it [00:18, 29.34it/s]
label_predict: [ 13 147 813 896 903 1092] label_predict: [ 51 147 189 671 780] label_predict: [ 121 280 369 489 563 582 1023 1059 1061 1099] label_predict: [ 79 121 194 844 1059] label_predict: [ 147 156 189 259 418 541 663 709 796 800 813 835 858 949 1072 1092] label_predict: [ 13 147 813 896 1092]
608it [00:18, 29.20it/s]
label_predict: [ 147 189 813 896 1092] label_predict: [ 121 188 369 813 1034 1059] label_predict: [ 51 147 156 189 369 671 780 813 1059] label_predict: [ 51 147 189 434 738 813 1092] label_predict: [ 99 161 304 718 774 813 961 1092] label_predict: [ 79 147 156 189 487 813 1059 1092]
611it [00:18, 25.56it/s]
label_predict: [ 51 135 147 156 189 322 369 477 554 612 671 780 954 1059] label_predict: [147 189 597] label_predict: [ 161 813 1059] label_predict: [ 51 79 147 156 189 194 227 477 489 584 612 671 780 954 1059 1062] label_predict: [ 147 189 744 813 896 903 1092]
618it [00:18, 27.67it/s]
label_predict: [ 13 121 147 433 552] label_predict: [ 99 121 304 1039] label_predict: [ 147 156 189 813 1092] label_predict: [147 189 552 671 768 780] label_predict: [ 147 189 671 780 1034] label_predict: [ 79 147 156 188 487 671 780 813 1059 1062 1092]
625it [00:18, 28.78it/s]
label_predict: [ 51 147 189 335 418 813 835 1092] label_predict: [ 13 51 147 189 813 1046 1092] label_predict: [ 147 156 189 541 813 835 1092] label_predict: [ 147 189 813 896 1092] label_predict: [ 79 147 189 813 1092] label_predict: [ 79 147 156 189 477 489 612 671 780 813 1059 1092] label_predict: [ 147 813 1092]
633it [00:19, 29.64it/s]
label_predict: [ 13 405 698 813 896 1092] label_predict: [ 13 51 147 189 434 501] label_predict: [ 147 156 189 813 835 1092] label_predict: [ 13 51 147 369 552 626 716] label_predict: [ 147 156 189 369 436 1059] label_predict: [ 51 99 161 236 304 489 584 774 1059] label_predict: [ 194 477 655 671 744 780 813 1046 1092 1099]
637it [00:19, 30.78it/s]
label_predict: [ 41 55 131 147 189 552 671 768 780 1034] label_predict: [ 111 147 189 259 738 813 835 1046 1092] label_predict: [ 51 79 147 188 369 477 612 671 780 813 1046 1059] label_predict: [ 13 147 655 813 1046 1092] label_predict: [ 99 121 369 586 884 1039] label_predict: [ 147 189 813 1092] label_predict: [ 79 147 156 189 194 671 1059] label_predict: [ 147 156 189 369 436 671 720 1059]
645it [00:19, 30.80it/s]
label_predict: [ 13 405 896 903 1092] label_predict: [ 99 304 718 813 896 961 1092] label_predict: [ 147 189 813 1092] label_predict: [ 13 477 671 780] label_predict: [ 13 147 189 813 962 1092]
653it [00:19, 30.34it/s]
label_predict: [ 51 111 147 189 420 733 738 813 835 1046 1092] label_predict: [ 369 586 1039] label_predict: [ 79 194 671 813 1059] label_predict: [ 13 51 147 698 716 813 896 903 1092] label_predict: [ 51 111 147 189 259 420 733 734 738 813 835 1046 1092] label_predict: [ 51 147 156 369 532 1022 1039 1059] label_predict: [ 147 189 413 430 434 501 559 813 835 1092]
657it [00:20, 29.93it/s]
label_predict: [ 147 615 813 896 1092] label_predict: [ 147 156 189 259 501 541 542 579 813 949 1092] label_predict: [ 188 369 464 507 774 1039] label_predict: [ 51 147 189 813 896 1092] label_predict: [ 13 147 813 896 1092] label_predict: [ 13 51 147 483 738 776 813 1046 1092] label_predict: [ 99 121 161 304 464 634 754 872 922]
665it [00:20, 32.57it/s]
label_predict: [ 79 147 156 189 420 477 671 780 813 835 1059 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 51 194 480 483 738 744 813 1046 1092] label_predict: [ 13 147 698 718 813 896 903 1092] label_predict: [ 147 161 189 813 961 1092] label_predict: [ 79 194 487 624 671 1059 1062] label_predict: [121 432 724 962] label_predict: [ 147 189 800 813 835 1092]
673it [00:20, 34.33it/s]
label_predict: [ 51 111 147 189 420 483 733 738 776 813 1046 1092] label_predict: [ 79 147 189 194 489 612 671 780 813 1092] label_predict: [ 13 121 147 480 483 501 737 738 776 813 975 1046] label_predict: [ 13 127 552 675 716 978 1039] label_predict: [ 13 147 189 744 813 896 903 1092] label_predict: [ 147 189 477 671 744 780 813 1059] label_predict: [ 51 79 147 188 189 477 612 671 780 1059] label_predict: [ 99 161 304 718 813 896 961 1092]
682it [00:20, 35.76it/s]
label_predict: [131 147 189 671 768 780] label_predict: [ 13 420 477 537 813 1092] label_predict: [ 79 147 813 1059 1062] label_predict: [ 51 147 156 189 369 612 671 744 780 813 903] label_predict: [ 79 147 156 189 194 671 813 1059] label_predict: [ 51 79 147 188 189 369 477 518 597 639 671 780 813 1034 1035] label_predict: [ 147 156 189 813 949 1084 1092] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 147 161 304 511 634 813 872 896 903 961 1092]
691it [00:20, 37.82it/s]
label_predict: [ 147 156 189 813 835 1092] label_predict: [ 147 156 189 259 418 541 663 800 813 835 1092] label_predict: [ 13 147 189 813 1092] label_predict: [ 147 156 189 259 813 993 1092] label_predict: [ 147 156 189 541 813 949 1092] label_predict: [ 13 147 698 813 896 1092] label_predict: [ 13 420 477 519 537 655 670 733 734 755 813 1092] label_predict: [ 99 121 304 487 1059] label_predict: [ 51 79 99 161 304 1059]
701it [00:21, 41.58it/s]
label_predict: [ 13 188 1039 1059] label_predict: [ 51 111 147 189 420 483 737 738 776 813 830 1046 1092] label_predict: [ 51 147 813 1046 1092] label_predict: [ 13 51 147 430 434 501 545 559 738 747 813 1092] label_predict: [ 51 99 161 304 813 1059] label_predict: [ 51 99 161 304 498 718 813 961 1092] label_predict: [ 121 369 1039 1059] label_predict: [ 13 194 404 477 671 813 888 896 1092] label_predict: [ 13 51 147 189 813 1092]
711it [00:21, 42.45it/s]
label_predict: [ 79 194 477 487 671 780 1059 1062] label_predict: [ 51 147 189 744 813 896 1092] label_predict: [ 79 147 189 369 436 552 671 780 925 1059] label_predict: [ 79 99 194 813 1059 1092] label_predict: [ 121 369 1039 1059] label_predict: [ 2 10 11 16 18 19 20 22 24 25 29 30 36 37 39 45 47 48 49 52 54 57 59 62 74 76 78 79 80 84 87 89 90 92 93 94 98 101 111 115 116 117 119 120 121 123 124 126 127 130 132 133 141 144 152 158 161 166 167 176 179 181 189 191 199 200 203 205 206 216 226 229 232 236 238 239 241 242 245 246 247 248 256 264 266 268 269 272 274 275 278 279 280 281 282 283 284 285 286 289 294 296 297 299 303 304 305 306 307 311 313 315 316 317 320 323 332 334 335 337 340 341 342 343 344 346 350 356 359 365 368 374 375 383 385 386 389 392 398 402 403 404 410 417 418 419 421 422 424 425 427 431 433 439 443 451 456 458 459 460 464 465 466 469 470 471 473 475 478 484 486 487 493 501 506 512 513 522 536 537 541 543 544 547 549 559 562 563 565 566 568 569 571 575 581 582 589 592 595 596 597 598 600 602 605 606 607 608 611 614 616 617 620 623 624 635 638 640 641 646 647 650 651 652 654 658 660 662 665 669 673 675 677 681 682 684 691 693 694 695 698 700 702 704 705 707 708 712 714 715 718 722 733 735 741 742 743 744 747 748 749 752 756 772 774 776 777 781 788 793 796 797 799 807 808 811 815 817 818 819 825 828 829 831 834 837 838 841 844 847 851 854 856 860 862 864 869 874 879 880 882 883 894 900 901 902 905 906 908 909 910 912 915 925 927 928 931 932 936 937 938 939 940 941 944 947 949 954 955 958 965 967 968 973 978 984 990 991 996 1001 1002 1007 1009 1010 1011 1013 1015 1017 1023 1024 1025 1026 1030 1032 1034 1037 1039 1041 1043 1048 1052 1054 1055 1059 1062 1075 1078 1079 1082 1086 1088 1092 1094 1095 1096 1098 1099 1100] label_predict: [ 99 121 718 813 1092] label_predict: [ 51 79 147 156 194 227 369 477 584 612 671 780 813 954 1046 1059 1062 1092] label_predict: [ 13 369 438 1039]
716it [00:21, 41.94it/s]
label_predict: [ 13 147 156 501 738 813 1092] label_predict: [ 51 111 147 189 813 1046 1092] label_predict: [ 79 147 156 189 420 477 612 671 780 813 1046 1059 1092] label_predict: [ 13 147 189 813 896 903 1092] label_predict: [147 156 189 485 603 671 780 835] label_predict: [304 313 464 813 872 903 962] label_predict: [ 51 147 189 671 738 813 1046 1092] label_predict: [ 13 147 369 436 552 720 1059]
726it [00:21, 32.82it/s]
label_predict: [ 121 147 189 373 597 671 768 1034 1035] label_predict: [ 147 156 189 541 813 1092] label_predict: [ 99 121 884 1039] label_predict: [ 13 147 554 744 813 896 903 1092] label_predict: [ 194 477 480 483 494 725 737 738 744 776 813 826 830 923 1046] label_predict: [ 121 1059] label_predict: [ 147 156 189 477 485 603 607 671 780 835 1069] label_predict: [ 79 194 487 671 813 1059 1062] label_predict: [ 79 121 194 813 961 1059 1092] label_predict: [ 99 161 236 304 331 489 584 758 774 1059]
736it [00:22, 37.48it/s]
label_predict: [ 99 121 482 497 498 718 813 961 1092] label_predict: [ 51 147 189 552 639 671 780 950 1034 1035] label_predict: [ 79 147 156 194 671 780 813 1059 1062 1092] label_predict: [ 51 147 156 189 541 813 1092] label_predict: [ 51 79 147 156 189 436 813 1059 1092] label_predict: [ 79 147 189 477 671 780 1034 1035] label_predict: [147 369 552 671] label_predict: [ 51 79 147 156 189 477 671 780 813 1046 1059 1062 1092] label_predict: [ 121 147 776 813 1046]
746it [00:22, 41.20it/s]
label_predict: [ 147 189 718 813 1092] label_predict: [ 121 147 188 189 1034] label_predict: [ 79 147 156 194 487 671 780 813 1059 1062] label_predict: [ 194 369 436 813 1059] label_predict: [ 161 194 304 487 758 1059 1062] label_predict: [ 51 147 189 552 597 639 671 780 950 1034] label_predict: [ 99 161 304 718 813 1092] label_predict: [ 147 189 813 835 1046 1092] label_predict: [ 79 188 194 518 639 671 780 1034 1035 1059] label_predict: [ 13 51 147 744 813 896 903 1092]
756it [00:22, 41.09it/s]
label_predict: [ 13 51 147 189 813 1092] label_predict: [ 99 121 498 813 961 1092] label_predict: [ 51 147 189 335 813 1046 1092] label_predict: [ 127 147 189 369 552 671 780 1034] label_predict: [ 147 156 189 259 418 541 813 835 1092] label_predict: [ 13 147 189 655 671 813 1092] label_predict: [ 13 51 111 147 189 420 480 483 501 733 737 738 776 813 1046 1092] label_predict: [ 51 147 189 744 813 896 903 1092] label_predict: [ 79 184 194 489 584 1059]
766it [00:22, 42.59it/s]
label_predict: [ 79 147 369 1059] label_predict: [188 189 304 369 507 774 813 903] label_predict: [ 79 188 189 369 487 671 1059] label_predict: [ 79 121 147 189 498 813 961 1092] label_predict: [121 147 182 189 558 744 754] label_predict: [ 51 147 156 188 189 477 612 671 780 813 1046 1092] label_predict: [ 58 147 188 189 369 420 477 558 597 612 671 744 780 813 835 903] label_predict: [ 194 404 655 671 744 813 1020 1092] label_predict: [ 13 404 405 896 903 1092]
776it [00:23, 44.18it/s]
label_predict: [ 13 51 111 147 189 813 1046 1092] label_predict: [ 99 147 718 813 896 1092] label_predict: [ 147 776 813 1046] label_predict: [ 33 99 420 738 813 835 955 962] label_predict: [ 147 156 189 744 813 896 903 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 147 189 418 541 738 813 835 949 1072 1092] label_predict: [ 79 194 369 813 1059] label_predict: [ 51 147 189 413 430 434 501 559 615 621 622 738 747 813 871 882 1001 1089 1092] label_predict: [ 13 655 734 755 813 896 1092]
786it [00:23, 43.15it/s]
label_predict: [ 147 189 541 542 813 949 1092] label_predict: [ 79 147 189 671 780 1059] label_predict: [ 51 147 189 813 1092] label_predict: [ 156 171 189 245 300 337 355 368 369 587 726 766 1020 1059 1084] label_predict: [ 79 147 156 189 813 961 1059 1092] label_predict: [ 114 121 217 236 257 304 369 1061] label_predict: [ 147 189 418 663 800 813 835 1092] label_predict: [ 121 158 184 304 313 415 464 872 962 1039] label_predict: [ 121 369 586 833 884 1039]
796it [00:23, 44.65it/s]
label_predict: [ 51 147 156 189 212 283 515 554 584 628 671 746 813 1059 1062 1092] label_predict: [ 99 161 304 718 813 896 961 1092] label_predict: [ 13 405 813 896 1092] label_predict: [ 147 156 189 541 813 1092] label_predict: [ 13 147 189 813 1092] label_predict: [ 51 147 189 671 780 813 1092] label_predict: [ 369 754 1059] label_predict: [ 13 14 51 147 552 626 671 780 1056] label_predict: [ 121 184 313 369 962 1039 1059] label_predict: [ 51 147 189 744 813 903 1092]
806it [00:23, 45.80it/s]
label_predict: [ 121 415 464 487 684 724 735 955 1026] label_predict: [ 147 156 189 813 1092] label_predict: [ 99 121 161 304 487 489 1059] label_predict: [ 51 147 188 189 369 552 671 780 1034] label_predict: [ 147 188 189 552 597 671 780 1034] label_predict: [ 147 189 671 780 813 1034 1035] label_predict: [ 51 147 156 189 369 477 671 744 780 813 1059] label_predict: [ 483 501 519 737 738 813 931 993 1046 1092] label_predict: [ 13 121 147 813 1059 1092] label_predict: [ 99 121 161 498 718 813 961 1059 1092]
816it [00:23, 46.34it/s]
label_predict: [ 147 369 477 612 671 744 813 1059] label_predict: [ 147 156 189 369 436 671 1059] label_predict: [ 147 480 483 501 737 738 776 813 931 1046] label_predict: [ 13 51 147 189 813 1092] label_predict: [147 161 189 204 304 450 813 872] label_predict: [ 13 121 369 433 552 813] label_predict: [ 33 99 313 420 738 835 962] label_predict: [ 156 189 300 369 554 587 726 766 994 1020 1084] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 121 304 1059]
821it [00:24, 46.64it/s]
label_predict: [ 13 14 147 552 626 671 780] label_predict: [ 13 14 147 552 626 1056] label_predict: [ 147 189 813 896 1092] label_predict: [ 13 51 147 813 896 1092] label_predict: [ 147 156 189 259 541 733 800 813 835 953 993 1092] label_predict: [ 79 147 188 189 552 597 671 768 780 1034 1035] label_predict: [ 13 147 189 813 896 903 1092] label_predict: [ 161 236 304 813 962 1092] label_predict: [ 147 189 813 1092]
832it [00:24, 46.12it/s]
label_predict: [ 483 494 676 725 737 738 776 813 830 923 924 1046 1081] label_predict: [ 51 147 189 1059] label_predict: [ 13 51 147 744 813 896 903 1092] label_predict: [ 147 501 545 738 813 931 1046 1092] label_predict: [ 33 121 432 433 582 724 962 1023] label_predict: [ 51 147 156 189 212 369 671 780 1059] label_predict: [ 25 99 116 161 304 331 487 758 813 961 1059 1092] label_predict: [ 33 121 420 738 813 835 962] label_predict: [121 125 161 304 464 495 634 872 922 955] label_predict: [ 147 189 813 1092] label_predict: [ 147 189 498 813 961 1092]
843it [00:24, 47.91it/s]
label_predict: [ 51 147 189 671 744 813 1059 1092] label_predict: [ 51 79 147 156 189 813 1059 1092] label_predict: [ 51 147 189 335 813 896 1092] label_predict: [ 147 189 813 1046 1092] label_predict: [ 188 189 194 369 671 780 1034] label_predict: [ 13 14 51 147 552 626 671 716 780] label_predict: [ 51 79 147 189 369 813 1059] label_predict: [ 79 147 156 194 227 339 487 584 671 780 813 961 1059 1062 1092] label_predict: [ 79 194 420 489 584 671 813 1059] label_predict: [ 121 194 718 813 1059 1092]
853it [00:24, 47.34it/s]
label_predict: [ 51 111 147 189 738 776 813 1046 1092] label_predict: [ 79 182 194 754 922 1059] label_predict: [ 51 147 189 744 813 896 1092] label_predict: [ 147 189 718 813 896 1092] label_predict: [ 51 147 189 744 813 896 1092] label_predict: [ 51 79 147 189 194 477 612 671 780 813 1046 1059 1092] label_predict: [ 51 147 189 813 896 903 1092] label_predict: [ 13 147 189 813 896 1092] label_predict: [ 13 147 189 813 1046 1092] label_predict: [ 147 194 813 1092]
863it [00:24, 45.77it/s]
label_predict: [ 420 432 738 813 962 1092] label_predict: [147 369 436 671 744 780 813] label_predict: [ 147 156 369 586 587 766 884 1020 1039 1059] label_predict: [ 79 147 156 194 671 813 961 1059 1092] label_predict: [ 147 156 189 420 680 813 835 1092] label_predict: [ 79 121 304 487 671 1059 1062] label_predict: [ 147 189 744 813 896 903 1092] label_predict: [ 1 33 420 582 1023] label_predict: [ 13 51 147 477 671 738 813 1046 1092]
873it [00:25, 46.13it/s]
label_predict: [ 147 189 813 1092] label_predict: [ 99 121 420 433] label_predict: [ 111 147 189 259 733 734 813 835 993 1046 1092] label_predict: [147 156 189 477 485 603 607 671 695 780] label_predict: [ 161 304 813 1059] label_predict: [ 147 189 813 896 1092] label_predict: [ 79 194 487 671 718 1059 1062] label_predict: [ 51 79 147 156 189 813 961 1092] label_predict: [ 51 147 189 813 1059 1092] label_predict: [ 147 156 189 744 813 835 1092]
883it [00:25, 46.96it/s]
label_predict: [ 13 51 147 552 671 780 813] label_predict: [ 51 147 189 813 835 1092] label_predict: [ 188 487 647 671 1059 1062] label_predict: [ 51 111 147 189 738 776 813 1046 1092] label_predict: [ 51 79 147 189 671 813 1059] label_predict: [ 13 14 147 552 626 671 780 1056] label_predict: [ 79 121 194 482 487 498 813 961 1059 1062] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 147 156 189 541 813 949 1092]
888it [00:25, 44.74it/s]
label_predict: [313 420 738 962] label_predict: [ 13 41 51 147 552 671 768 780] label_predict: [ 13 147 156 227 671 780 813 872 896 961 1092] label_predict: [ 13 41 51 131 147 552 626 671 768 780] label_predict: [ 79 147 189 813 1059 1062] label_predict: [ 51 147 156 189 612 655 671 744 780 813 903 1046 1092] label_predict: [ 51 147 189 434 501 559 615 1022] label_predict: [ 99 161 236 304 813 962]
898it [00:25, 41.06it/s]
label_predict: [ 79 147 189 597 671 768 780 1034 1035] label_predict: [ 79 194 404 671 813 896 1092] label_predict: [ 13 51 147 189 813 896 1092] label_predict: [ 79 147 188 189 552 671 780 1034] label_predict: [ 51 147 156 189 420 477 744 813 835 903 1059 1092] label_predict: [121 194 239 420 813 844] label_predict: [ 79 147 189 671 780 1034 1035]
908it [00:26, 38.57it/s]
label_predict: [ 51 147 156 189 477 612 671 780 813 1046 1059 1092] label_predict: [ 79 147 188 189 477 597 612 671 780 813 1092] label_predict: [ 13 41 55 131 147 189 552 626 671 768 780] label_predict: [ 79 156 194 487 584 671 780 813 1059 1062 1092] label_predict: [ 13 552] label_predict: [ 51 147 188 428 671 744 803 813 1092 1099] label_predict: [ 121 182 369 464 754 872 1039 1059] label_predict: [ 51 111 147 189 259 738 776 813 1046 1092] label_predict: [ 121 1039]
917it [00:26, 38.96it/s]
label_predict: [ 13 51 147 552 626 671 780] label_predict: [147 189 194 369 671 813] label_predict: [ 13 147 776 1046] label_predict: [121 189 438] label_predict: [ 79 147 189 477 671 780 813 1034 1092] label_predict: [ 147 189 671 780 1034 1035] label_predict: [ 127 245 300 344 368 369 587 766 1059 1084] label_predict: [ 147 156 189 663 813 835 1092] label_predict: [ 111 131 147 156 189 418 541 542 796 813 949 1046 1072 1092]
922it [00:26, 40.07it/s]
label_predict: [ 51 147 156 744 813 1092] label_predict: [ 51 147 189 663 718 813 896 903 1092] label_predict: [ 51 147 188 189 597 671 780 813 1059 1092] label_predict: [ 147 156 189 813 961 1092] label_predict: [ 13 147 188 369 671 813 1034 1092] label_predict: [ 51 111 147 189 483 737 738 776 813 1046 1092] label_predict: [147 156 189 485 671 780] label_predict: [ 79 147 156 188 189 477 624 671 780 1059 1062] label_predict: [ 13 147 813 896 903 1092]
932it [00:26, 42.75it/s]
label_predict: [ 13 121 147 432 433 552 671 724 768 780] label_predict: [ 13 51 147 554 744 813 896 903 1092] label_predict: [ 121 147 189 433 718 813 1092] label_predict: [ 79 147 156 189 487 1059 1062] label_predict: [ 13 51 147 420 477 733 744 756 813 952 1046 1092] label_predict: [ 13 147 698 813 896 903 1092] label_predict: [121 161 304 813 961] label_predict: [ 13 147 813 896 1092] label_predict: [147 738 962]
942it [00:26, 39.87it/s]
label_predict: [ 51 79 147 156 189 369 477 671 780 1059] label_predict: [ 79 194 487 1059 1062] label_predict: [ 147 189 813 896 1092] label_predict: [ 147 189 194 813 1092] label_predict: [ 51 79 147 369 671 813 1059] label_predict: [ 51 147 189 813 1046 1092] label_predict: [ 13 477 670 813 1092] label_predict: [ 1 33 275 420 432 582 724 962 1023]
947it [00:26, 39.45it/s]
label_predict: [ 51 147 189 430 434 501 559 738 813 835 1092] label_predict: [ 13 189 430 434 501 545 559 670 738 813 1092] label_predict: [ 147 189 304 369 436 450 744 1059] label_predict: [ 79 121 369 450 744 813 1023 1059] label_predict: [ 147 156 189 813 1059 1092] label_predict: [ 51 147 189 552 671 780 813 1092] label_predict: [ 147 156 189 813 1092] label_predict: [ 79 121 194 813 1059]
957it [00:27, 39.28it/s]
label_predict: [ 13 14 51 147 552 626 671 780 1056] label_predict: [ 13 147 189 813 896 1092] label_predict: [ 147 189 813 993 1046 1092] label_predict: [ 99 161 718 813 961 1092] label_predict: [ 79 147 194 477 671 738 776 780 813 1046 1092] label_predict: [ 147 189 744 813 896 1092] label_predict: [ 79 188 189 194 671 780 1059 1062] label_predict: [121 304 415 464 872] label_predict: [ 147 189 639 671 744 780 813 950 1034]
967it [00:27, 41.38it/s]
label_predict: [ 13 483 776 813 830 896 1046 1092] label_predict: [ 147 698 813 896 1092] label_predict: [ 13 813 896 903 1092] label_predict: [ 79 369 438 726 1039] label_predict: [ 51 147 189 738 813 1046 1092] label_predict: [ 51 111 147 156 189 477 612 671 780 813 1046 1092] label_predict: [ 13 51 147 189 813 896 1092] label_predict: [ 13 51 147 189 519 813 1092] label_predict: [ 13 79 147 776 813 830 1046 1092]
977it [00:27, 39.26it/s]
label_predict: [ 51 147 189 813 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 13 51 147 813 896 903 1092] label_predict: [ 156 189 259 418 485 541 542 733 813 835 993 1020 1084 1092] label_predict: [ 121 161 189 304 813 872 1092] label_predict: [ 147 615 744 813 896 1092] label_predict: [ 147 189 671 780 1034] label_predict: [121 161 304 813]
982it [00:27, 37.97it/s]
label_predict: [ 13 405 813 896 1092] label_predict: [ 121 147 369 433 1034] label_predict: [ 51 147 156 369 587 766 833 1020 1039 1059] label_predict: [ 147 189 477 639 671 780 1034 1035] label_predict: [ 13 147 189 744 813 896 903 1092] label_predict: [ 79 147 188 189 552 597 671 780 1034] label_predict: [ 79 313 420 738 962] label_predict: [ 45 111 147 189 480 483 501 737 738 776 813 923 1046]
992it [00:28, 40.01it/s]
label_predict: [ 79 147 194 671 780 813 1092] label_predict: [ 51 79 147 156 189 420 477 489 554 584 612 671 738 780 813 835 1046 1059 1092] label_predict: [ 51 79 147 188 189 477 639 671 738 744 780 813 950 1034 1035 1046 1092] label_predict: [ 79 121 189 369 671 754] label_predict: [ 194 404 655 738 744 813 1020 1046 1092 1099] label_predict: [ 13 14 51 147 552 626 671 716 780] label_predict: [ 51 147 156 489 584 671 1059] label_predict: [ 51 147 189 776 813 1046 1092] label_predict: [ 13 51 147 194 744 813 952 1092] label_predict: [ 33 121 420 432 582 724 738 813 962 1023] label_predict: [ 369 436 671 813 1019 1059]
1001it [00:28, 28.30it/s]
label_predict: [ 131 147 189 378 597 671 768 780 1034] label_predict: [121 147 161 189 204 304 450 813] label_predict: [ 13 147 189 552 626 671 780] label_predict: [ 51 79 147 188 189 194 477 552 639 671 780 1034 1059] label_predict: [ 58 121 182 188 428 432 558 724 744 754 955] label_predict: [ 483 737 738 776 813 830 1046] label_predict: [ 51 147 189 813 896 903 1092]
1010it [00:28, 32.64it/s]
label_predict: [ 79 147 189 335 369 518 552 671 780 925 1034] label_predict: [ 79 121 182 194 754 813 844 1059] label_predict: [ 51 111 147 189 813 896 1092] label_predict: [ 79 147 194 487 671 813 1059] label_predict: [ 51 79 121 147 1059] label_predict: [ 147 189 813 1092] label_predict: [ 79 147 156 189 498 813 961 1092] label_predict: [ 13 51 111 147 813 1046 1092] label_predict: [ 51 147 189 554 744 813 896 903 1092]
1019it [00:29, 35.04it/s]
label_predict: [ 194 483 738 744 776 813 830 1046 1092] label_predict: [ 147 156 189 744 813 896 1092] label_predict: [ 147 189 813 1092] label_predict: [ 121 188 231 369 1039 1059] label_predict: [ 147 189 813 835 1092] label_predict: [ 79 188 1059] label_predict: [ 13 51 147 813 896 1092] label_predict: [ 13 51 147 189 813 1092] label_predict: [ 99 161 304 487 758 1059]
1027it [00:29, 35.03it/s]
label_predict: [ 79 147 156 194 489 584 671 780 1059] label_predict: [ 13 147 554 813 896 1092] label_predict: [ 147 156 189 434 738 813 1092] label_predict: [ 51 147 552 626 671 780 925] label_predict: [ 13 51 147 813 1046 1092] label_predict: [147 156 369] label_predict: [ 99 121 161 304 634 754 922 1039 1059] label_predict: [ 13 51 147 189 813 1046 1092]
1036it [00:29, 38.03it/s]
label_predict: [ 147 189 413 430 434 501 545 559 621 622 649 738 813 871 1092] label_predict: [ 483 501 737 738 813 931 1046] label_predict: [ 51 147 189 813 1046 1092] label_predict: [ 99 125 147 161 304 331 813 1059] label_predict: [ 147 156 194 671 738 813 1046 1092] label_predict: [ 51 147 156 189 322 554 612 671 744 746 780 813 903 954 1092] label_predict: [ 99 125 161 304 487 489 584 758 1059] label_predict: [ 79 147 189 194 671 780 813 1046 1092] label_predict: [ 615 813 896 1092]
1046it [00:29, 40.29it/s]
label_predict: [ 51 147 156 189 813 1092] label_predict: [ 51 79 147 161 189 304 813 1059] label_predict: [121 304 415 724 872 955] label_predict: [ 51 147 189 813 903 1092] label_predict: [ 147 156 189 833 1020 1059] label_predict: [ 13 51 147 156 532 552 626 671 780 1059] label_predict: [ 51 147 156 189 369 489 584 612 671 780 954 1059] label_predict: [ 147 156 189 259 418 541 542 796 800 813 940 949 993 1072 1092] label_predict: [ 13 14 147 552 626 1056]
1056it [00:29, 41.00it/s]
label_predict: [ 99 718 813 896 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 79 188 194 671 744 780 813 1059 1092 1099] label_predict: [ 13 182 189 552 671 780] label_predict: [ 79 194 1059] label_predict: [ 147 189 313 612 744 813 903 962 1092] label_predict: [ 13 51 111 147 189 480 483 737 738 776 813 830 923 1046] label_predict: [ 51 79 147 156 189 227 584 612 671 780 813 954 1059] label_predict: [ 79 147 188 189 369 671 780 1059]
1066it [00:30, 43.35it/s]
label_predict: [ 99 161 304 331 718 774 813 1092] label_predict: [ 96 161 236 304 813 962] label_predict: [ 147 156 189 418 541 671 813 835 1046 1092] label_predict: [ 13 51 147 552 626 671 780] label_predict: [ 79 147 189 194 369 671 744 780 813 1059] label_predict: [ 51 147 156 189 369 436 720 1059] label_predict: [ 51 147 156 189 744 813 1059] label_predict: [ 79 147 156 189 369 1059] label_predict: [ 147 156 189 259 418 541 542 813 835 1072 1092] label_predict: [ 147 156 189 369 720 1059]
1071it [00:30, 44.39it/s]
label_predict: [ 13 14 51 147 552 626 671 780] label_predict: [ 51 79 147 156 189 671 744 813 903 1059 1092] label_predict: [ 121 194 433 724 738 813 1059 1092] label_predict: [ 13 51 147 813 896 1092] label_predict: [ 51 79 147 156 671 813 1046 1059 1092] label_predict: [ 51 147 156 189 744 813 1092] label_predict: [ 13 51 147 335 501 738 813 1046 1092] label_predict: [ 147 188 194 477 671 780 813 1034 1046] label_predict: [ 51 138 147 156 189 322 369 477 554 612 671 780 954]
1081it [00:30, 43.70it/s]
label_predict: [ 79 147 188 189 194 552 671 780 1034 1035] label_predict: [ 99 121 433 813 1059] label_predict: [ 95 121 161 304 369 415 464 634 809 813 872 955 1092] label_predict: [ 79 156 194 489 584 671 780 1059 1062] label_predict: [147 189 369 420 496 813] label_predict: [ 194 671 744 813 1046 1092] label_predict: [ 13 51 147 189 813 896 1092] label_predict: [ 121 194 1039] label_predict: [ 13 51 147 189 430 434 480 483 501 545 559 737 738 813 931 1046] label_predict: [121 304 558 634 754 813 872]
1091it [00:30, 44.93it/s]
label_predict: [ 147 156 189 541 542 813 896 949 1092] label_predict: [ 13 405 896 1092] label_predict: [ 147 156 189 259 420 733 734 738 800 813 835 993 1046 1092] label_predict: [ 51 147 156 189 212 283 477 554 612 671 744 813 889 903 1059 1080] label_predict: [ 79 121 147 194 487 671 813 1059 1092] label_predict: [ 147 813 896 1092] label_predict: [ 79 121 239 487 718 813 961 1059 1062] label_predict: [147 189 485 603 671 695 768 780 999] label_predict: [ 121 188 369 582 597 671 1023] label_predict: [ 13 51 147 189 501 738 813 1046 1092]
1101it [00:30, 46.67it/s]
label_predict: [121 415 464] label_predict: [ 161 304 634 813 872 1059 1092] label_predict: [ 79 161 194 487 813 1059 1092] label_predict: [ 51 147 189 430 434 501 532 545 559 621 622 747 813 1089 1092] label_predict: [121 369] label_predict: [ 99 180 189 498 718 813 1092] label_predict: [ 51 147 156 189 212 283 369 671 780 1059] label_predict: [ 121 184 304 313 438 464 872 962 1039] label_predict: [121 415 724 955 962] label_predict: [ 99 125 161 304 464 634 754 872 922]
1111it [00:31, 47.34it/s]
label_predict: [ 51 147 156 189 515 671 780 813 1059 1062 1092] label_predict: [ 161 498 813 961 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 79 147 156 189 369 671 780 813 1059 1092] label_predict: [ 13 51 147 335 813 896 952 1046 1092] label_predict: [ 147 189 420 813 835 1092] label_predict: [ 147 189 430 434 501 545 559 738 813 1046 1092] label_predict: [ 13 51 147 552 626 671 780] label_predict: [ 51 147 189 813 1092] label_predict: [ 51 111 147 189 813 1046 1092]
1116it [00:31, 46.20it/s]
label_predict: [ 79 121 189 369 498 813 1059] label_predict: [ 51 147 156 189 615 744 813 1099] label_predict: [ 13 147 189 813 896 903 1092] label_predict: [ 131 147 189 671 768 780 1034]
1126it [00:31, 36.05it/s]
label_predict: [ 147 189 369 373 597 671 768 780 1034 1035] label_predict: [ 147 194 369 671 744 813 896 903 1019 1092] label_predict: [ 13 147 156 189 813 896 961 1092] label_predict: [ 79 147 189 671 780 813 1046 1092] label_predict: [ 147 156 189 482 498 813 949 961 1092] label_predict: [ 147 156 189 259 418 541 542 813 835 949 1046 1092] label_predict: [ 147 369 436 671 813 1019] label_predict: [ 13 51 147 189 552 626 671 780] label_predict: [ 13 147 189 420 738 776 813 1046 1092] label_predict: [147 156 189 485 607 671 780]
1136it [00:31, 39.69it/s]
label_predict: [ 51 111 147 189 420 480 483 573 733 737 738 776 813 1046 1092] label_predict: [ 51 147 194 671 744 780 813 1092] label_predict: [ 147 189 813 1092] label_predict: [ 51 147 156 212 369 586 1039 1059] label_predict: [ 13 51 147 369 552 671 1059] label_predict: [ 13 51 147 744 813 896 1092] label_predict: [ 51 79 147 189 671 780 813] label_predict: [ 147 189 744 813 896 1092] label_predict: [ 13 51 147 189 552 626 671 780]
1146it [00:32, 41.32it/s]
label_predict: [ 51 147 156 189 430 501 541 559 738 813 1046 1092] label_predict: [ 51 147 156 189 485 603 671 780 835] label_predict: [ 121 180 188 189 498 724 813 1023 1092 1099] label_predict: [ 51 147 189 744 813 835 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 13 14 41 121 147 433 552 626 671 768 780] label_predict: [ 13 51 111 147 189 738 776 813 1046 1092] label_predict: [ 121 369 1039] label_predict: [ 79 147 156 189 194 477 612 671 780 1059]
1156it [00:32, 43.13it/s]
label_predict: [ 79 121 194 813 844] label_predict: [ 121 313 433 962 1039] label_predict: [ 13 51 147 813 896 1092] label_predict: [ 121 433 724 1039] label_predict: [ 51 111 147 156 189 259 541 813 1046 1092] label_predict: [ 13 51 147 813 896 1092] label_predict: [ 194 480 483 494 737 738 744 776 813 830 992 1046 1092 1099] label_predict: [ 51 79 111 147 156 369 477 671 780 1059] label_predict: [ 79 147 189 194 813 1092]
1161it [00:32, 38.89it/s]
label_predict: [ 13 405 896 903 1092] label_predict: [ 51 147 189 813 1092] label_predict: [131 147 189 552 671 768 780] label_predict: [ 147 189 813 1092] label_predict: [ 18 25 51 161 304 331 487 584 758 813 1059 1062 1092] label_predict: [ 51 147 156 189 671 813 961 1092] label_predict: [ 51 147 156 227 477 612 671 780 813 954 1092] label_predict: [ 194 480 483 494 725 737 738 744 776 813 830 923 992 1046 1092 1099]
1171it [00:32, 41.30it/s]
label_predict: [ 111 147 189 418 541 813 949 1046 1092] label_predict: [ 121 147 813 961 1059 1092] label_predict: [ 161 204 304 813 872 961 1061] label_predict: [ 194 404 813 1020 1092] label_predict: [ 147 189 671 780 1034] label_predict: [ 51 111 147 189 813 1046 1092] label_predict: [ 13 51 147 552 626 671 780 813 1092] label_predict: [ 13 698 813 896 1092] label_predict: [ 147 189 194 671 780 1034]
1181it [00:32, 42.39it/s]
label_predict: [ 79 147 188 189 194 369 477 671 780 1034 1035] label_predict: [ 121 369 433 724 1023 1059] label_predict: [ 51 194 485 671 744 813 890 1092 1099] label_predict: [369 438 726] label_predict: [ 13 51 147 194 813 1092] label_predict: [ 147 189 259 813 835 1046 1092] label_predict: [ 13 51 147 189 813 896 903 1092] label_predict: [ 79 147 189 369 671 780 1059] label_predict: [1059]
1186it [00:33, 41.78it/s]
label_predict: [ 51 147 189 194 813 1092] label_predict: [ 188 1059] label_predict: [ 13 51 147 189 671 813] label_predict: [ 121 184 194 754 1039 1059] label_predict: [ 51 147 189 552 597 671 780 1034 1035] label_predict: [ 51 147 189 369 833 1039] label_predict: [ 79 121 194 369 489 1059]
1196it [00:33, 40.13it/s]
label_predict: [ 51 147 813 1092] label_predict: [ 121 487 961 1059] label_predict: [ 147 369 436 720 813 1092] label_predict: [ 70 147 189 738 800 813 835 1092] label_predict: [ 79 121 194 239 482 487 498 813 961 1059 1092] label_predict: [ 147 188 189 552 671 780 1034] label_predict: [ 99 121 161 498 718 813 896 961 1092] label_predict: [ 111 147 189 738 813 1046 1092] label_predict: [ 79 182 194 369 754 1059] label_predict: [ 51 147 189 744 813 903 1092]
1201it [00:33, 41.17it/s]
label_predict: [ 79 147 156 189 420 813 1059 1092] label_predict: [ 121 433 724 962 1039 1059] label_predict: [ 51 79 147 189 194 671 813 1059 1092] label_predict: [ 147 156 189 259 418 541 813 835 1092] label_predict: [ 480 483 501 737 738 776 813 923 931 1046] label_predict: [ 79 147 156 189 436 813 1059 1092]
1211it [00:33, 38.81it/s]
label_predict: [ 121 147 369 597 1034 1035] label_predict: [ 121 415 464 1039] label_predict: [ 51 79 147 156 189 465 584 671 813 1059 1062 1092] label_predict: [ 51 147 156 189 369 436 626 671 780 813 1059] label_predict: [ 13 434 501 738 813 1046] label_predict: [ 156 189 369 587 766 1020 1084] label_predict: [ 13 51 147 519 813 1092] label_predict: [ 51 147 189 335 813 1092] label_predict: [ 51 147 189 813 1046 1092] label_predict: [ 121 188 1039 1059]
1221it [00:33, 42.98it/s]
label_predict: [147 156 189 485 603 671 780] label_predict: [ 147 156 189 369 586 587 766 833 884 1020 1039 1059] label_predict: [ 156 189 245 300 355 369 436 587 726 766 994 1020 1059 1084] label_predict: [ 13 14 127 147 552 555 626 671 780] label_predict: [ 79 121 147 1059] label_predict: [ 51 147 189 671 744 780 813 903 1092] label_predict: [ 51 147 156 189 813 1059 1092] label_predict: [ 13 477] label_predict: [ 51 147 194 738 813 1046 1092] label_predict: [ 188 369 563 744 813 1059 1061 1099]
1231it [00:34, 43.94it/s]
label_predict: [ 51 147 156 189 369 671 813 1059 1092] label_predict: [ 147 156 189 418 541 542 671 744 813 835 949 1072 1092] label_predict: [ 13 51 147 698 813 896 1092] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 430 501 545 813 1009 1046 1092] label_predict: [ 51 111 147 156 189 259 541 813 993 1046 1092] label_predict: [ 147 189 813 1092] label_predict: [ 147 189 671 813 1046 1092] label_predict: [ 51 147 156 189 369 477 554 612 671 780 1059] label_predict: [ 99 718 813 896 961 1092]
1236it [00:34, 45.42it/s]
label_predict: [ 99 813 896 961 1092] label_predict: [ 79 147 156 189 671 780 813 1034 1035] label_predict: [ 147 189 194 671 780 1034] label_predict: [ 147 189 430 434 501 559 738 813 835 871 1092]
1246it [00:34, 37.71it/s]
label_predict: [ 147 369 438 1039 1059] label_predict: [ 13 51 147 552 671 780 813 1092] label_predict: [121 724 955 962] label_predict: [ 13 51 147 552 626 671 780] label_predict: [ 121 304 1059] label_predict: [ 13 51 147 189 813 896 1092] label_predict: [ 51 147 156 189 227 612 671 780 813 1059 1092] label_predict: [ 79 147 744 813 896 903 1092] label_predict: [ 13 147 744 813 896 903 1092] label_predict: [ 51 111 147 189 813 1046 1092]
1256it [00:34, 42.57it/s]
label_predict: [ 147 189 541 813 949 1092] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 13 51 147 189 813 1092] label_predict: [ 147 189 498 718 813 835 1092] label_predict: [ 121 184 420 1039 1059] label_predict: [ 51 111 147 189 420 733 738 776 813 1046 1092] label_predict: [ 51 147 189 489 671 1059] label_predict: [ 13 445 813 896 903 1092] label_predict: [ 51 147 189 477 639 671 780 950 1034 1035] label_predict: [ 194 480 483 494 725 737 738 744 776 813 826 830 1046 1092 1093 1099]
1266it [00:35, 43.77it/s]
label_predict: [ 51 147 189 671 780 813 835 1092] label_predict: [ 13 51 147 335 813 1046 1092] label_predict: [ 13 79 111 147 483 738 776 813 830 1046] label_predict: [ 79 369 813 1059] label_predict: [ 51 121 738 813 961 1059 1092] label_predict: [ 13 51 79 121 147 194 433 552 813 1092] label_predict: [ 13 121 147 552 626 671 780] label_predict: [ 147 156 189 671 744 780 813 903 1092] label_predict: [147 304 369 634 840] label_predict: [ 13 79 776 1046]
1276it [00:35, 45.24it/s]
label_predict: [ 13 79 147 194 404 671 813 1020 1092] label_predict: [ 147 189 418 663 800 813 835 1092] label_predict: [ 51 79 147 156 180 188 189 671 744 813 1059 1092 1099] label_predict: [ 13 147 194 813 1092] label_predict: [ 79 138 147 188 189 477 489 612 671 780 1059 1062] label_predict: [ 147 189 612 744 813 896 903 1059 1092] label_predict: [ 147 156 189 259 418 541 542 579 813 949 1072 1092] label_predict: [ 79 194 813 844] label_predict: [ 121 161 304 813 1059] label_predict: [ 51 147 189 744 813 835 896 903 1092]
1286it [00:35, 43.41it/s]
label_predict: [ 13 147 813 896 903 1092] label_predict: [ 51 147 189 369 586 833 1039 1059] label_predict: [ 13 51 147 744 813 896 903 1092] label_predict: [ 51 147 369 587 1039 1059] label_predict: [ 147 189 813 835 1046 1092] label_predict: [ 79 121 194 369 671 1059] label_predict: [ 99 121 147 189 498 718 813 961 1092] label_predict: [ 13 51 147 189 552 626 671 780]
1296it [00:35, 43.39it/s]
label_predict: [ 51 147 813 1046 1092] label_predict: [ 634 718 813 872 1092] label_predict: [ 79 147 188 477 597 671 744 780 813 1046 1092 1099] label_predict: [ 51 79 147 156 189 436 671 720 780 1059] label_predict: [ 13 51 127 147 369 552 671 675 780 978] label_predict: [121 147 189 671] label_predict: [ 55 131 147 189 378 552 671 768 780 1034] label_predict: [ 147 156 189 259 418 541 542 796 813 835 949 1072 1092] label_predict: [ 147 188 189 194 552 671 780 1034] label_predict: [ 33 99 420 738 813 835 962]
1307it [00:35, 45.67it/s]
label_predict: [ 51 147 483 738 776 813 1046 1092] label_predict: [ 121 189 718 813 1092] label_predict: [ 13 51 147 552 626 671 780 813 1092] label_predict: [ 13 480 483 776 813 830 1046] label_predict: [ 51 79 147 156 189 227 420 584 671 738 780 813 1046 1059 1092] label_predict: [ 147 188 189 477 597 612 671 780 813 1092] label_predict: [ 147 189 194 671 768 780 1034] label_predict: [ 79 189 498 813 961 1092] label_predict: [ 51 111 147 189 483 738 776 813 1046 1092] label_predict: [ 147 813 896 1092]
1317it [00:36, 45.73it/s]
label_predict: [ 51 147 189 813 1046 1092] label_predict: [ 147 156 189 259 418 541 813 949 1092] label_predict: [ 13 147 369 1059] label_predict: [ 79 121 194 304 754 872] label_predict: [ 79 147 156 189 498 813 961 1059 1092] label_predict: [ 79 147 194 369 477 489 506 612 671 780 1046 1062] label_predict: [ 147 156 189 434 485 615 744 813 835 1092 1099] label_predict: [ 13 445 457 755 813 896 1092] label_predict: [ 51 111 147 156 189 813 1046 1092] label_predict: [ 51 147 156 227 322 339 393 477 612 671 780 813 954 961 1046 1092]
1327it [00:36, 45.30it/s]
label_predict: [ 13 147 698 813 896 1092] label_predict: [ 147 189 304 718 813 903 1092] label_predict: [ 51 147 194 404 744 813 952 1092] label_predict: [ 79 194 813 844 1059 1092] label_predict: [ 13 51 127 147 369 552 675 716 978 1039] label_predict: [ 51 188 369 671 720 813 1019 1059] label_predict: [ 79 147 189 194 477 671 780 1034 1035 1059] label_predict: [ 13 405 896 903 1092] label_predict: [ 51 147 156 189 227 671 813 961 1092] label_predict: [ 99 189 498 718 813 961 1092]
1332it [00:36, 46.06it/s]
label_predict: [ 13 51 147 369 434 501 532 738 813 1092] label_predict: [ 79 194 438 1059 1062] label_predict: [ 147 189 335 671 780 1034 1035] label_predict: [ 147 189 498 813 961 1092] label_predict: [ 147 156 189 259 418 485 541 671 744 780 813 835 858 1092] label_predict: [ 121 813 1039 1059] label_predict: [ 13 51 147 532 585 671 1022] label_predict: [ 121 184 1039 1059] label_predict: [ 13 51 147 554 744 813 896 903 1092] label_predict: [ 13 51 111 147 483 738 776 813 1046 1092]
1343it [00:36, 47.31it/s]
label_predict: [ 51 147 189 663 813 896 903 1092] label_predict: [ 147 156 189 418 541 542 796 813 949 1072 1092] label_predict: [ 147 156 189 259 418 541 542 813 949 1072 1092] label_predict: [ 99 161 304 718 813 961 1092] label_predict: [ 147 189 738 813 1046 1092] label_predict: [ 483 737 738 776 813 1046 1092] label_predict: [ 13 51 147 671 813 1092] label_predict: [ 13 51 147 189 434 615 1022] label_predict: [ 13 51 147 671 780 813 1059] label_predict: [ 79 147 189 671 813 903]
1353it [00:36, 47.57it/s]
label_predict: [ 13 51 147 194 744 813 1092] label_predict: [ 147 156 180 188 189 369 428 485 615 671 744 803 950 1099] label_predict: [ 188 489 612 813 1059] label_predict: [ 99 180 498 718 813 961 1092] label_predict: [ 13 51 147 189 671 780 813 1092] label_predict: [ 13 51 111 147 189 420 480 483 501 737 738 776 813 830 923 1046] label_predict: [ 121 161 304 813 1059] label_predict: [ 13 51 147 420 483 737 738 776 813 830 1046 1092] label_predict: [ 79 194 487 813 1059 1062] label_predict: [ 51 147 189 813 1092]
1363it [00:37, 44.50it/s]
label_predict: [ 13 79 147 188 189 552 671] label_predict: [ 147 189 538 655 671 744 780 813 903 1046 1092] label_predict: [ 147 189 671 780 1034 1035] label_predict: [ 13 813 896 1092] label_predict: [ 13 121 147 552 671 780 1034] label_predict: [ 51 147 189 671 780 813 1046] label_predict: [ 13 445 813 896 1092] label_predict: [ 147 189 194 477 485 671 744 780 813 1046 1092 1099] label_predict: [ 13 51 147 194 655 671 744 780 813 1092]
1374it [00:37, 46.38it/s]
label_predict: [ 147 156 189 813 961 1092] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 13 147 552 671 768 780] label_predict: [ 188 189 1039] label_predict: [ 147 189 813 896 1092] label_predict: [ 51 147 156 189 813 961 1092] label_predict: [ 79 147 156 189 671 813 1059 1092] label_predict: [ 79 147 156 189 420 671 780 813 835 1046 1092] label_predict: [ 111 147 189 480 483 501 573 737 738 776 813 830 923 1046] label_predict: [ 79 369 813 1059]
1385it [00:37, 44.79it/s]
label_predict: [ 79 194 1059] label_predict: [ 121 188 813 1039 1059] label_predict: [ 13 147 655 813 896 903 1092] label_predict: [ 480 483 501 548 737 738 813 993 1033 1046] label_predict: [ 13 51 147 744 813 1092] label_predict: [121 188 239 558 754 922 955] label_predict: [ 51 147 156 189 212 671 780 813 1059] label_predict: [ 147 188 189 369 597 671 780 1034 1035] label_predict: [ 51 121 147 433 552 724 1059]
1395it [00:37, 44.74it/s]
label_predict: [ 79 121 147 189 498 813 961] label_predict: [ 147 156 189 259 541 744 813 835 1092] label_predict: [ 147 156 189 259 418 541 542 813 835 1092] label_predict: [ 13 51 111 147 420 480 483 501 573 737 738 776 813 830 1046 1092] label_predict: [ 51 147 189 813 896 903 1092] label_predict: [ 121 1039] label_predict: [ 79 147 156 189 477 489 584 612 671 738 780 813 1046 1059 1062] label_predict: [ 79 498 718 813 1059 1092] label_predict: [ 13 51 147 436 552 626 671 720 780] label_predict: [ 184 369 833 1059]
1400it [00:37, 42.68it/s]
label_predict: [ 111 147 189 420 483 573 616 733 734 737 738 776 813 993 1046 1092] label_predict: [ 111 147 189 671 680 813 835 1046 1092] label_predict: [ 51 79 147 156 189 671 780 813 961 1059 1062 1092] label_predict: [ 147 189 813 896 1092] label_predict: [ 13 51 147 189 813 896 1092] label_predict: [ 194 404 655 744 813 1020 1092] label_predict: [ 79 194 369 726] label_predict: [ 13 813 896 903 1092] label_predict: [ 51 147 156 189 322 554 612 671 744 780 813 1059]
1410it [00:38, 44.33it/s]
label_predict: [ 99 121 304 369 493 754 1039 1059] label_predict: [ 121 147 189 477 597 671 780 813 1034] label_predict: [ 13 14 147 552 626 1056] label_predict: [ 51 147 189 813 1046 1092] label_predict: [ 79 121 188 194 369 813 1034 1059 1092 1099] label_predict: [ 51 79 147 156 189 339 477 612 671 780 813 1046 1059 1092] label_predict: [ 147 189 813 1092] label_predict: [ 79 147 156 227 339 487 671 813 1059 1062 1092] label_predict: [121 161 304 464 634 754 872] label_predict: [121 182 188 558 754]
1415it [00:38, 42.29it/s]
label_predict: [ 147 155 189 378 671 768 780 1034] label_predict: [ 13 14 127 147 369 552 555 626 833 1039]
1420it [00:38, 21.52it/s]
label_predict: [ 147 189 369 373 597 671 768 1034 1035] label_predict: [ 147 156 189 418 541 671 780 813 835 949 1092] label_predict: [ 13 51 147 194 744 813 896 903 1092] label_predict: [ 147 189 813 1046 1092] label_predict: [ 13 147 552 626 671 780] label_predict: [ 194 404 744 813 1020 1046 1092 1099] label_predict: [ 116 121 415 416 465 473 487 650 684 703 704 724 735 738 748 809 813 955 961 962 1023 1059] label_predict: [ 147 194 404 744 813 1092]
1430it [00:39, 28.19it/s]
label_predict: [ 79 121 147 188 189 671 780 813 1034 1035] label_predict: [ 79 147 156 189 671 780 813 1092] label_predict: [ 79 121 194 684 813 844 1092] label_predict: [ 79 194 477 671 738 776 780 813 830 1046 1059] label_predict: [ 147 189 671 780 1034] label_predict: [ 147 189 813 1092] label_predict: [ 147 189 744 813 903 1092] label_predict: [ 33 313 420 738 962] label_predict: [ 13 51 147 189 434 483 738 813 1046] label_predict: [ 1 33 121 184 369 582 962 1023 1059]
1442it [00:39, 36.69it/s]
label_predict: [ 13 147] label_predict: [ 147 369 671 780 813 1019] label_predict: [121 147 188 189 552 671 780] label_predict: [ 147 189 671 738 813 1046 1092] label_predict: [ 13 147 189 813 896 903 1092] label_predict: [ 13 194 655 671 813 1046 1092] label_predict: [ 13 121 147 738 813 1046 1092] label_predict: [ 121 313 962 1059] label_predict: [ 147 369 436 587 766 1020 1039 1059] label_predict: [ 111 147 189 480 483 501 737 738 776 813 1046] label_predict: [ 13 14 147 552 626 671]
1453it [00:39, 42.33it/s]
label_predict: [ 51 79 147 156 188 189 369 477 612 671 780 1059] label_predict: [ 147 189 671 738 780 813 1034 1046 1092] label_predict: [ 79 147 189 477 671 780 813 1034 1035] label_predict: [ 121 369 1039] label_predict: [ 51 147 156 189 369 554 612 671 744 746 780 813 903 1059] label_predict: [ 99 121 161 304 487 489 758 1059] label_predict: [ 13 51 147 189 813 1022 1092] label_predict: [ 13 51 147 532 813 1059 1092] label_predict: [ 147 189 671 780 813 1034 1092] label_predict: [ 13 405 813 896 903 1092]
1463it [00:39, 44.09it/s]
label_predict: [ 51 147 189 655 813 1046 1092] label_predict: [ 13 147 189 552 626 671 780] label_predict: [ 51 147 189 813 1092] label_predict: [ 13 51 147 483 738 776 813 1046 1092] label_predict: [ 121 415 438 1039] label_predict: [ 51 147 189 813 1092] label_predict: [ 79 147 156 194 227 369 487 671 780 813 961 1059 1092] label_predict: [ 51 147 156 189 283 671 813 1059 1092] label_predict: [ 13 51 147 813 1059] label_predict: [ 51 147 189 663 813 1092]
1473it [00:39, 44.94it/s]
label_predict: [ 79 147 156 189 498 813 961 1059] label_predict: [ 79 121 188 813 1059 1092] label_predict: [ 13 189 430 434 501 545 559 738] label_predict: [ 79 194 369 671 780 1099] label_predict: [ 79 121 147 189 813 1092] label_predict: [121 161 204 304 634 872] label_predict: [ 813 1092] label_predict: [ 13 79 147 189 671 780 813 903 1092] label_predict: [ 147 501 813 1046 1092] label_predict: [ 51 147 189 597 671 780 950 1034]
1484it [00:40, 46.51it/s]
label_predict: [ 13 147 189 194 655 671 744 813 1092] label_predict: [ 51 147 156 189 369 554 612 671 744 780 813 903 1092] label_predict: [ 13 716 813 896 1092] label_predict: [ 79 121 961] label_predict: [ 51 147 156 189 671 780] label_predict: [ 13 51 147 156 369 671 813 1059] label_predict: [ 147 189 800 813 835 1092] label_predict: [ 79 147 156 189 194 671 780 813 1059 1092] label_predict: [ 13 445 477 813 896 1092] label_predict: [ 51 147 189 813 1092]
1495it [00:40, 46.70it/s]
label_predict: [ 79 121 194 844 1059] label_predict: [ 13 813 896 903 989 1092] label_predict: [ 79 147 156 189 194 485 671 744 780 813 1092 1099] label_predict: [ 51 147 189 671 780 813 1059] label_predict: [ 99 161 189 304 498 718 813 961 1092] label_predict: [ 147 189 813 1092] label_predict: [ 147 813 896 1092] label_predict: [ 79 194 487 671 813 1059 1062] label_predict: [ 147 156 189 332 418 541 542 579 796 813 949 1072 1092] label_predict: [ 111 147 189 738 813 1046 1092]
1505it [00:40, 46.18it/s]
label_predict: [ 18 25 61 99 161 304 331 489 584 758 813 1059 1062] label_predict: [121 147 464 813 872] label_predict: [ 147 156 189 259 418 541 542 579 813 949 993 1020 1072 1092] label_predict: [ 147 189 671 780 813 1092] label_predict: [ 147 156 189 813 835 1092] label_predict: [ 13 147 189 813 1092] label_predict: [ 79 194 487 1059 1062] label_predict: [ 147 189 744 813 896 903 1092] label_predict: [ 51 79 147 156 189 498 813 961 1092] label_predict: [ 121 147 1034]
1515it [00:40, 46.31it/s]
label_predict: [ 79 121 369 1059] label_predict: [ 33 99 121 420 582 724 738 813 962 1023] label_predict: [ 51 147 156 194 369 489 584 671 780 1059] label_predict: [ 13 121 147 369 552] label_predict: [ 147 189 738 813 835 1046 1092] label_predict: [ 13 51 147 744 813 896 903 1092] label_predict: [ 13 147 744 813 896 903 1092] label_predict: [ 51 147 538 616 733 813 961 1046 1092] label_predict: [ 131 147 189 378 552 671 768 780 1034] label_predict: [ 13 147 813 896 1092]
1521it [00:40, 47.88it/s]
label_predict: [121 239] label_predict: [ 51 147 194 813 1046 1092] label_predict: [ 51 79 369 1039 1059] label_predict: [ 79 194 1059 1062] label_predict: [ 79 147 188 189 322 477 489 554 612 671 780 813 1059] label_predict: [ 121 147 189 304 450 558 718 744 813 903 1092] label_predict: [ 95 121 161 304 415 718 735 809 813 955 1092]
1531it [00:41, 41.84it/s]
label_predict: [ 147 369 597 1039] label_predict: [ 13 51 147 480 483 501 545 580 670 737 738 813 975 1046 1092 1093] label_predict: [ 51 147 189 744 813 1092] label_predict: [ 79 147 189 194 671 780 813 1034 1092] label_predict: [ 51 147 156 671 1059] label_predict: [ 147 189 259 418 541 813 835 949 993 1092] label_predict: [ 51 121 147 194 813 1092] label_predict: [ 121 1039 1059] label_predict: [ 51 147 188 189 428 434 744 813 1059 1099] label_predict: [ 79 147 189 194 671 780 1034]
1541it [00:41, 40.32it/s]
label_predict: [ 79 147 189 194 477 671 780 1034 1035 1046 1059] label_predict: [ 147 189 541 813 896 949 1092] label_predict: [ 131 147 189 671 768 780 1034] label_predict: [ 79 147 156 194 1059] label_predict: [ 13 405 445 457 813 896 903 1092] label_predict: [ 51 147 369 671 1022 1059] label_predict: [147 156 189 436 485 552 671 780 800 872] label_predict: [147 156 189 477 485 603 607 671 695 780] label_predict: [ 147 156 189 259 418 541 542 579 813 835 949 1072 1092]
1551it [00:41, 42.65it/s]
label_predict: [ 180 188 189 369 615 744 750 803 813 1099] label_predict: [ 18 25 161 331 423 487 534 584 611 642 734 738 758 797 800 813 953 974 993 1059 1062 1092] label_predict: [ 13 147 369 552 671 780] label_predict: [ 51 79 147 156 189 227 369 477 671 780 813 1046 1059 1062 1092] label_predict: [ 156 189 300 369 554 587 726 766 994 1020 1059 1084] label_predict: [ 51 147 156 189 212 283 515 554 584 671 813 1059] label_predict: [ 13 51 147 156 189 813 1092] label_predict: [ 51 147 369 532 1022 1059] label_predict: [ 51 147 194 744 813 1046 1092 1099] label_predict: [ 147 189 418 541 800 813 835 949 1092]
1561it [00:41, 44.24it/s]
label_predict: [ 79 147 156 189 671 738 813 1059 1092] label_predict: [121 147 182 189 420 813] label_predict: [ 121 147 188 194 369 597 671 780 813 1034 1059 1092 1099] label_predict: [ 13 147 188 477 552 671 780 813] label_predict: [ 51 147 189 335 813 1092] label_predict: [ 51 79 147 156 189 369 671 780 1059] label_predict: [ 13 51 111 147 483 738 776 813 1046] label_predict: [ 121 433 724 1039 1059] label_predict: [ 13 194 404 655 744 813 896 1092] label_predict: [ 13 405 813 896 903 1092]
1566it [00:42, 45.58it/s]
label_predict: [ 13 51 147 552 1056 1059] label_predict: [ 51 147 189 194 738 813 1046 1059 1092] label_predict: [ 13 51 147 189 813 896 1092] label_predict: [ 147 189 259 813 1092] label_predict: [ 13 147 188 189 477 552 671 780 813] label_predict: [ 79 147 369 586 766 884 1039] label_predict: [ 147 189 663 718 800 813 835 1092] label_predict: [ 33 121 420 432 724 738 955 962] label_predict: [ 111 147 156 189 259 418 541 813 1092]
1576it [00:42, 44.78it/s]
label_predict: [121 464 552 840] label_predict: [ 147 189 813 896 903 1092] label_predict: [ 13 51 147 189 744 813 896 903 1092] label_predict: [ 79 121 182 813 1059] label_predict: [ 79 147 189 718 813 1059 1092] label_predict: [ 79 184 194 487 584 671 1059 1062] label_predict: [ 51 147 671 780 1059] label_predict: [ 131 147 189 671 744 780 813 835 1034 1092] label_predict: [ 147 718 813 896 903 1092] label_predict: [ 121 188 369 428 433 563 566 582 615 724 744 950 1023 1034 1061 1099] label_predict: [ 51 79 147 156 189 227 322 339 369 477 612 671 780 813 954 1046 1059 1092]
1587it [00:42, 47.20it/s]
label_predict: [ 51 111 147 189 480 483 501 737 738 776 813 931 1046 1092] label_predict: [ 147 156 189 813 1092] label_predict: [ 13 147 813 1046 1092] label_predict: [ 51 147 189 744 813 903 1092] label_predict: [ 13 147 813 896 1092] label_predict: [ 79 147 189 671 744 780 813 903 1046 1092] label_predict: [ 79 121 147 189 482 497 498 813 961 1092] label_predict: [ 79 147 189 194 477 671 780 1034 1035] label_predict: [ 13 14 51 147 552 626 1056]
1597it [00:42, 44.68it/s]
label_predict: [ 13 404 405 896 1092] label_predict: [ 45 51 111 147 189 480 483 501 737 738 776 813 923 975 1046] label_predict: [ 147 156 189 259 541 813 993 1092] label_predict: [ 147 189 498 813 1092] label_predict: [ 51 147 156 189 369 1059] label_predict: [ 2 10 11 13 16 18 19 20 22 24 25 29 30 36 37 39 41 44 45 47 48 49 52 54 56 57 59 62 74 76 78 79 80 84 87 89 90 92 93 94 98 101 111 115 116 117 119 120 121 123 124 126 127 128 130 132 133 141 142 144 152 158 160 161 166 167 176 177 179 181 189 190 191 199 200 203 205 206 216 226 229 232 236 238 239 241 242 245 246 247 248 255 256 257 264 266 268 269 272 274 275 276 277 278 279 280 281 282 283 284 285 286 289 294 296 297 299 301 303 304 305 306 307 311 312 313 315 316 317 320 323 330 332 334 335 337 340 341 342 343 344 346 350 353 356 359 365 367 368 374 375 383 385 386 387 389 392 398 402 403 404 410 415 416 417 418 419 421 422 424 425 427 431 433 439 443 451 456 458 459 460 464 465 466 469 470 471 473 474 475 478 484 486 487 493 501 503 506 512 513 522 529 536 537 541 543 544 547 549 553 555 559 562 563 565 566 568 569 571 575 581 582 587 589 592 595 596 597 598 600 602 605 606 607 608 611 614 616 617 620 623 624 634 635 638 640 641 646 647 650 651 652 654 658 660 662 665 669 673 675 677 681 682 684 691 693 694 695 697 698 700 702 704 705 707 708 712 714 715 718 722 733 735 741 742 743 744 747 748 749 752 756 766 772 774 776 777 781 788 792 793 796 797 799 807 808 811 815 817 818 819 825 828 829 831 834 837 838 841 844 847 849 851 854 856 860 862 864 869 872 874 875 879 880 882 883 894 900 901 902 906 908 909 910 912 915 921 925 927 928 931 932 936 937 938 939 940 941 943 944 947 949 954 955 958 965 967 968 973 978 980 982 984 987 989 990 991 993 996 1001 1002 1007 1009 1010 1011 1012 1013 1015 1017 1023 1024 1025 1026 1030 1032 1034 1037 1039 1041 1043 1048 1052 1054 1055 1056 1059 1062 1064 1069 1075 1078 1079 1082 1086 1088 1092 1094 1095 1096 1098 1099 1100 1101] label_predict: [ 13 51 147 552 671] label_predict: [ 79 147 156 189 194 671 780 813 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 194 480 483 494 725 737 738 744 776 813 826 830 923 1046 1099]
1607it [00:42, 46.32it/s]
label_predict: [ 13 813 1059 1092] label_predict: [ 13 51 147 813 896 1092] label_predict: [ 13 51 147 813 896 1092] label_predict: [147 156 189 477 485 603 671 780 835] label_predict: [ 79 147 813 1046 1059] label_predict: [ 147 189 304 718 720 744 813 903 1092] label_predict: [ 51 79 147 156 189 227 671 813 961 1059 1092] label_predict: [ 79 147 369 436 1059] label_predict: [ 13 147 698 813 896 903 1092] label_predict: [ 13 121 147 813 1092]
1617it [00:43, 46.09it/s]
label_predict: [ 13 51 147 552 626 671 780 1056] label_predict: [ 51 147 156 189 369 671 780 1059] label_predict: [ 13 147 738 776 813 1046 1059 1092] label_predict: [161 304 464 634 872] label_predict: [ 79 147 194 369 671 813 1059] label_predict: [ 79 147 156 189 369 1059] label_predict: [ 51 147 156 189 339 477 612 671 780 813 1092] label_predict: [ 99 114 121 161 217 236 257 304 369 774 1039 1059 1061] label_predict: [ 147 188 189 552 671 780 1034] label_predict: [ 147 189 194 671 780 1034 1035]
1627it [00:43, 46.46it/s]
label_predict: [ 13 147 189 552 671 768 780 1034] label_predict: [ 79 147 369 744 813 1059] label_predict: [ 13 813 896 1092] label_predict: [ 13 147 813 896 1092] label_predict: [ 121 304 884 1039] label_predict: [ 13 51 147 744 813 896 1092] label_predict: [ 13 147 194 744 813 1092] label_predict: [ 99 121 161 304 718 774 813 961 1059 1092] label_predict: [ 111 147 189 483 738 776 813 830 1046 1092]
1637it [00:43, 43.96it/s]
label_predict: [ 13 404 405 896 903 1092] label_predict: [ 79 194 487 671 813 1059 1062] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 121 597 1034] label_predict: [ 147 189 813 1092] label_predict: [ 189 482 498 718 813 961 1092] label_predict: [ 51 147 189 554 612 671 744 813 896 903 1092] label_predict: [ 51 147 189 744 813 835 1092] label_predict: [121 313 420 962]
1647it [00:43, 43.37it/s]
label_predict: [ 13 51 147 189 813 896 903 1092] label_predict: [ 79 147 156 189 482 498 813 833 1059 1092] label_predict: [ 147 189 738 800 813 835 993 1046 1092] label_predict: [ 147 189 663 718 813 896 903 1092] label_predict: [ 79 147 156 189 671 813 961 1092] label_predict: [ 51 76 79 147 156 189 477 487 671 780 813 1059 1062] label_predict: [ 51 147 189 477 552 597 671 780 1034 1035] label_predict: [ 79 147 156 189 194 671 780 813 1059 1092] label_predict: [ 51 111 147 189 480 483 501 737 738 776 813 923 1046] label_predict: [ 79 147 189 194 369 671 780 1034]
1657it [00:44, 44.85it/s]
label_predict: [ 79 147 189 482 497 498 728 813 1059 1092] label_predict: [ 13 477 813 896 1092] label_predict: [ 13 615 813 896 1092] label_predict: [ 79 147 189 194 552 671 780 1059] label_predict: [ 51 70 147 189 434 738 813 835 1092] label_predict: [ 483 501 737 738 776 813 931 1046 1092] label_predict: [ 13 14 51 147 552 626 1056] label_predict: [ 79 121 147 189 436 813 1092] label_predict: [ 813 1092] label_predict: [ 79 147 558 744 813 903 1092]
1667it [00:44, 46.75it/s]
label_predict: [ 79 99 121 489 1059] label_predict: [ 13 51 121 147 552 671 780 1059] label_predict: [ 33 99 313 420 738 835 962] label_predict: [ 13 111 147 420 483 573 737 738 776 813 830 923 1046 1092] label_predict: [ 480 483 494 501 519 548 549 737 738 813 931 993 1033 1046] label_predict: [ 121 147 189 552 671 768 780 1034] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 147 188 189 671 780 1034] label_predict: [ 79 194 1059 1062] label_predict: [ 125 161 304 369 634 1039]
1678it [00:44, 48.26it/s]
label_predict: [ 13 51 147 189 813 896 1092] label_predict: [ 51 79 121 147 189 813 1059 1092] label_predict: [ 13 147 156 189 369 436 552 671 720 780] label_predict: [ 121 189 369 1023 1034 1059] label_predict: [ 51 147 156 189 671 813 1059 1062 1092] label_predict: [ 79 147 156 189 477 639 671 780 1034 1035 1046] label_predict: [116 121 415 416 724 735 922 955 962] label_predict: [ 51 147 189 813 1092] label_predict: [ 51 147 156 189 671 744 813 1059 1092] label_predict: [ 79 184 420 1059]
1683it [00:44, 48.24it/s]
label_predict: [ 99 121 433 718 813 1092] label_predict: [ 147 369 434 508 532 813 1022 1059] label_predict: [ 13 51 147 189 369] label_predict: [ 79 487 671 780 1059 1062] label_predict: [ 147 718 813 896 903 1092] label_predict: [ 51 147 188 189 477 671 744 813 835 1092] label_predict: [ 369 436 587 766 1020 1039 1059]
1693it [00:44, 39.04it/s]
label_predict: [ 147 189 369 373 597 671 768 1034 1035] label_predict: [ 99 121 125 161 192 304 495 754 1039] label_predict: [ 79 194 1059 1062] label_predict: [ 13 51 147 480 483 738 776 813 1046 1092] label_predict: [ 147 156 189 477 485 671 780 813 835 1092] label_predict: [ 13 147 189 369 436 552 671 780] label_predict: [ 161 194 369 1059] label_predict: [ 99 161 189 304 498 718 813 961 1092] label_predict: [ 51 147 189 616 813 993 1092] label_predict: [ 121 489 1039 1059]
1704it [00:45, 43.70it/s]
label_predict: [ 121 161 304 813 872 1059 1092] label_predict: [121 304 464 634 813 872] label_predict: [ 147 188 189 498 671 738 813 835 1046 1092] label_predict: [ 51 147 189 738 813 1046 1092] label_predict: [ 125 161 204 304 369 634 872 1059] label_predict: [ 147 194 671 780 1092] label_predict: [ 147 156 189 259 418 541 542 813 1046 1092] label_predict: [ 13 51 147 744 813 952 1092] label_predict: [ 1 33 121 275 369 432 582 724 1023 1061] label_predict: [ 147 156 189 813 835 1092]
1714it [00:45, 45.96it/s]
label_predict: [ 51 147 189 335 813 896 1092] label_predict: [ 13 51 147 189 430 434 501 559 738 813 1092] label_predict: [487 624 684 738 961] label_predict: [ 156 189 300 369 587 766 1059 1084] label_predict: [ 121 1039 1059] label_predict: [ 116 121 304 374 415 464 473 487 597 650 681 684 704 724 735 748 819 925 955 1026] label_predict: [ 13 121 147 189 597] label_predict: [ 51 147 156 369 586 1059] label_predict: [ 13 813 896 903 1092] label_predict: [ 51 147 813 1046 1092]
1725it [00:45, 47.20it/s]
label_predict: [ 99 121 161 304 464 493 634 754 840 872 922] label_predict: [ 147 189 813 1046 1092] label_predict: [ 13 51 147 626 671 780 813 961 1092] label_predict: [ 79 194 304 487 671 1059 1062] label_predict: [ 51 79 147 194 212 671 813 1059] label_predict: [ 79 147 189 369 436 498 720 813 1059] label_predict: [ 51 147 189 744 813 835 1092] label_predict: [ 51 147 188 189 639 671 780 950 1034] label_predict: [ 147 156 189 554 612 671 744 780 813 903 1092] label_predict: [ 51 76 147 156 189 212 671 813 961 1059 1092]
1736it [00:45, 48.73it/s]
label_predict: [ 51 147 156 189 813 1092] label_predict: [ 79 99 121 161 304 487 758 961 1059 1062] label_predict: [ 147 188 189 335 369 477 597 639 671 780 950 1034 1035] label_predict: [ 79 194 487 624 671 780 1059 1062] label_predict: [ 147 188 477 671 733 744 780 803 813 1092 1099] label_predict: [ 147 189 813 896 903 1092] label_predict: [ 147 156 189 418 541 542 813 949 1059 1072 1092] label_predict: [ 147 156 189 306 369 671 744 813 903 1092] label_predict: [ 35 99 313 420 718 738 784 813 835 962] label_predict: [ 121 147 304 813 872 1092] label_predict: [121 415 724 813 955 962]
1746it [00:45, 48.60it/s]
label_predict: [ 33 99 313 420 738 813 835 962] label_predict: [ 51 147 156 189 369 436 671 720 780 1059] label_predict: [ 79 147 156 194 477 489 612 671 780 954 1046 1059] label_predict: [121 487 724] label_predict: [ 51 147 189 434 738 813 1092] label_predict: [ 147 189 369 586 671 1039] label_predict: [ 13 41 131 147 552 671 768 780] label_predict: [ 25 99 161 304 718 813 962 1092] label_predict: [ 51 127 147 360 369 436 587 766 1019 1020 1039 1059] label_predict: [ 51 147 194 477 485 671 780 813 1046 1092 1099]
1751it [00:46, 37.35it/s]
label_predict: [ 79 354 489 1059] label_predict: [ 79 147 189 194 477 671 780 1034 1059] label_predict: [ 99 121 161 487 1059 1062] label_predict: [ 131 147 189 378 671 768 780 1034] label_predict: [ 51 147 189 671 813 1046 1092]
1762it [00:46, 42.93it/s]
label_predict: [ 147 156 189 418 541 813 835 949 1092] label_predict: [ 99 121 718 813 1059] label_predict: [ 99 147 189 718 813 1092] label_predict: [ 127 156 189 300 368 369 436 587 766 1059 1084] label_predict: [ 13 51 147 813 896 1092] label_predict: [121 432 433 520 558 724 955] label_predict: [ 13 147 420 477 671 813 1092] label_predict: [ 51 79 147 156 227 322 339 489 584 612 671 780 813 954 1059 1062 1092] label_predict: [ 79 147 156 189 194 584 671 813 1059 1062] label_predict: [ 147 813 896 1092] label_predict: [ 79 189 482 497 498 813 961 1059 1092]
1767it [00:46, 43.32it/s]
label_predict: [ 51 147 156 189 322 369 612 671 780] label_predict: [ 147 189 259 418 718 800 813 835 949 1092] label_predict: [ 79 147 188 189 671 780 813 1059 1092] label_predict: [ 147 189 671 780 1034 1035] label_predict: [ 147 189 813 1092] label_predict: [ 13 51 147 477 552 671 780 813 1092] label_predict: [ 13 14 51 147 552 626 1056] label_predict: [ 51 147 189 813 1092] label_predict: [ 13 813 896 1092] label_predict:
1777it [00:46, 44.71it/s]
[ 33 420 738 813 835 962] label_predict: [ 147 189 800 813 1092] label_predict: [ 13 41 51 147 189 552 671 768 780] label_predict: [ 147 156 189 813 835 1092] label_predict: [ 121 1034] label_predict: [ 147 156 189 541 813 835 1092] label_predict: [ 51 147 156 227 322 369 393 477 554 584 612 671 780 813 954 1030 1046 1059 1092] label_predict: [ 13 51 147 189] label_predict: [ 13 51 147 369 552 671 780] label_predict: [ 13 51 111 147 189 813 1046 1092]
1787it [00:46, 46.56it/s]
label_predict: [ 51 147 189 813] label_predict: [ 25 161 487 734 813 1059 1062 1092] label_predict: [ 13 188 231 744 803 813 1092 1099] label_predict: [ 147 161 369 1059] label_predict: [ 13 147 813 1092] label_predict: [ 51 147 156 189 485 603 671 744 780] label_predict: [ 51 147 189 813 1092] label_predict: [147 189 369 436 671 780] label_predict: [ 99 121 147 189 433 718 720 744 813 903 1092] label_predict: [ 13 41 131 147 189 552 671 768 780]
1798it [00:47, 43.26it/s]
label_predict: [ 99 121 147 718 813 1092] label_predict: [ 13 51 147 189 477 552 655 671 780 813 1046] label_predict: [ 51 147 156 189 541 813 1092] label_predict: [ 79 147 189 498 813 1059 1092] label_predict: [ 147 189 369 597 671 768 780 1034 1035] label_predict: [ 13 147 189 738 813 1046 1092] label_predict: [ 121 962 1059] label_predict: [ 13 51 147 189 335 744 813 896 903 1092] label_predict: [ 51 147 189 744 813 896 903 1092]
1809it [00:47, 46.00it/s]
label_predict: [ 51 121 147 813 1092] label_predict: [ 51 147 156 189 369 489 554 612 671 780 1059] label_predict: [ 99 121 1039 1059] label_predict: [ 79 147 189 194 671 780 1034] label_predict: [ 79 147 156 189 498 813 1092] label_predict: [ 79 147 156 189 671 780 813 1059 1092] label_predict: [ 79 121 194 239 487 1059 1062] label_predict: [ 79 147 156 189 194 227 612 671 780 813 1059 1092] label_predict: [ 26 52 111 116 147 151 155 156 177 189 209 231 285 369 415 450 485 487 552 564 579 592 624 655 671 682 684 705 738 748 754 780 800 844 870 872 889 925 953 961 967 999 1000 1098] label_predict: [ 13 147 189 430 434 501 559 738 813 1092]
1820it [00:47, 47.86it/s]
label_predict: [ 79 194 487 1059 1062] label_predict: [ 51 147 189 663 813 1092] label_predict: [ 147 189 552 597 671 780 1034] label_predict: [ 67 89 121 156 171 189 223 245 300 337 355 368 369 587 726 766 994 1020 1059 1084] label_predict: [ 99 369 493 754 1039 1059] label_predict: [ 51 147 189 813 1092] label_predict: [ 79 147 156 161 194 584 813 1059] label_predict: [ 79 184 249 369 489 584 1059] label_predict: [ 99 121 125 161 304 1039 1059] label_predict: [ 161 718 813 1059 1092] label_predict: [ 79 161 194 487 758 813 1059 1062 1092]
1830it [00:47, 45.16it/s]
label_predict: [ 51 147 156 188 189 420 477 671 780 813 835 1059 1092] label_predict: [ 99 147 189 420 718 813 1059 1092] label_predict: [ 121 1059] label_predict: [ 25 161 534 584 611 642 733 734 738 758 797 800 813 953 974 993 1059 1062 1092] label_predict: [ 79 147 156 189 477 671 780 1059] label_predict: [ 121 147 433 552 671 1034 1039] label_predict: [ 51 147 156 584 758 1059] label_predict: [121 147 189 369 433 597 671 780 813] label_predict: [ 51 147 156 283 369 515 532 1022 1059]
1840it [00:48, 46.37it/s]
label_predict: [ 147 156 189 259 418 541 813 835 1092] label_predict: [ 13 14 41 51 147 552 626 671 768 780 1056] label_predict: [ 180 188 194 428 498 671 744 803 813 1092 1099] label_predict: [ 13 51 147 189 813 896 903 1092] label_predict: [ 51 111 147 156 189 259 418 541 542 813 1046 1092] label_predict: [ 79 194 369 489 624 671 780 1059] label_predict: [ 79 156 194 487 671 738 780 1059 1062] label_predict: [ 13 14 147 552 716] label_predict: [ 121 161 1059] label_predict: [ 79 194 584 671 1059 1062]
1850it [00:48, 47.25it/s]
label_predict: [ 13 147 698 813 896 903 1092] label_predict: [121 420 718 813 962] label_predict: [ 147 156 189 541 813 949 1092] label_predict: [ 147 189 418 800 813 835 949 1092] label_predict: [ 79 813 961 1059 1092] label_predict: [ 51 79 147 156 189 339 671 738 813 1059 1092] label_predict: [ 51 147 188 189 428 744 803 813 1092 1099] label_predict: [ 79 147 189 671 780 813 1034 1046] label_predict: [ 13 147 188 189 369 552 626 671 780 1034] label_predict: [ 51 121 147 188 369 552 671 744 813 1099]
1860it [00:48, 48.14it/s]
label_predict: [ 147 189 369 436 671 744 813 903 1059 1092] label_predict: [ 79 121 194 813 844] label_predict: [ 79 121 147 189 369 1059] label_predict: [ 13 51 147 189 744 813 896 903 1092] label_predict: [ 79 304 487 1059 1062] label_predict: [ 79 147 156 189 194 813 844 1092] label_predict: [ 51 147 156 189 813 835 1092] label_predict: [ 147 156 189 738 813 835 1092] label_predict: [ 13 147 156 189 655 813 1092] label_predict: [ 189 369 582 1023]
1870it [00:48, 47.41it/s]
label_predict: [ 147 156 184 189 369 833 1039 1059] label_predict: [121 147 189 552 671 780] label_predict: [ 121 369 766 1039 1059] label_predict: [ 18 51 147 156 161 212 227 304 331 339 487 584 612 671 758 813 961 1030 1059 1092] label_predict: [ 33 121 582 738 962 1023 1059] label_predict: [ 51 111 147 189 737 738 776 813 1046 1092] label_predict: [ 121 188 231 369 754 1039 1085] label_predict: [147 313 813 903 962] label_predict: [ 79 147 189 194 369 671 780 813 1059] label_predict: [ 51 147 156 189 212 369 586 1020 1059]
1875it [00:48, 47.39it/s]
label_predict: [ 26 51 135 147 156 175 189 212 283 322 477 515 554 584 612 647 671 746 758 780 813 889 1030 1059 1062 1080] label_predict: [ 79 121 1039 1059] label_predict: [ 13 405 813 896 903 1092] label_predict: [ 147 189 671 780 1034] label_predict: [ 51 111 147 189 738 776 813 1046 1092] label_predict: [ 51 147 156 189 498 813 961 1092] label_predict: [ 147 194 813 1046 1059 1092] label_predict: [ 13 51 147 813 896 1092] label_predict: [121 369 634 754]
1885it [00:49, 44.79it/s]
label_predict: [ 111 147 156 189 420 680 738 776 813 835 1046 1092] label_predict: [ 13 147 189 698 813 896 903 1092] label_predict: [ 121 369 724 813 1059] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 369 489 1059] label_predict: [ 79 147 156 194 487 671 780 813 1059 1062 1092] label_predict: [ 147 733 737 738 813 993 1046 1092] label_predict: [121 188 189 428 558 724 744 955] label_predict: [ 79 184 369 1059] label_predict: [ 51 147 156 189 259 541 813 1046 1092]
1895it [00:49, 43.36it/s]
label_predict: [ 121 188 369 582 724 813 1023 1092 1099] label_predict: [ 147 189 776 813 835 1046 1092] label_predict: [ 51 79 147 156 189 227 477 612 671 780 813 1046 1092] label_predict: [ 13 131 147 189 552 671 768 780] label_predict: [ 147 189 259 813 1092] label_predict: [ 147 156 189 259 418 541 671 738 780 813 835 1046 1092] label_predict: [ 147 189 813 896 903 1092] label_predict: [ 147 189 663 718 800 813 835 1092] label_predict: [ 13 79 776 813 830 1046]
1905it [00:49, 45.03it/s]
label_predict: [ 51 147 189 813 835 1092] label_predict: [ 13 14 51 147 552 671 716] label_predict: [ 188 304 1059] label_predict: [ 51 147 156 369 671 780 1059] label_predict: [ 51 147 189 655 671 744 780 813 903 1092] label_predict: [ 51 147 189 538 616 698 813 993 1092] label_predict: [ 13 51 147 369 552 626 671 780 1059] label_predict: [ 25 79 156 161 487 584 758 813 1059 1062 1092] label_predict: [ 51 79 147 156 194 227 477 584 671 780 813 1046 1059 1092] label_predict: [ 79 121 161 304 487 813 1059]
1915it [00:49, 45.16it/s]
label_predict: [ 51 147 156 189 813 896 961 1092] label_predict: [ 147 189 304 498 718 813 961 1092] label_predict: [ 13 51 147 189 813 1092] label_predict: [ 147 156 189 813 835 1092] label_predict: [ 147 189 738 813 993 1046 1092] label_predict: [ 147 189 418 541 813 949 1092] label_predict: [ 13 147 189] label_predict: [ 147 189 671 780 1034] label_predict: [ 13 14 51 147 552 626 671 780]
1925it [00:49, 44.18it/s]
label_predict: [ 147 156 189 541 813 896 949 1092] label_predict: [189 552 671 768] label_predict: [ 13 147 182 189 420 552 671 754 780] label_predict: [ 180 188 750 803 813 1099] label_predict: [ 121 369 433 813 1039 1059] label_predict: [ 147 189 671 780 813 1034 1092] label_predict: [ 111 147 189 420 738 776 813 835 1046 1092] label_predict: [ 121 724 813 1092] label_predict: [ 51 147 156 189 369 584 671 780 1059] label_predict: [ 147 189 612 655 744 813 896 903 1092]
1931it [00:50, 46.01it/s]
label_predict: [ 79 147 189 671 780 813 1034] label_predict: [ 51 147 156 189 212 369 671 744 813 1059] label_predict: [ 51 147 616 733 734 738 813 952 1046 1092] label_predict: [ 13 14 51 147 552 626 1056] label_predict: [ 79 147 189 671 780 1034 1059] label_predict: [ 51 79 147 189 194 671 780 813 1046 1092] label_predict: [ 184 188 231 313 369 464 507 1039 1059 1085]
1940it [00:50, 30.47it/s]
label_predict: [ 121 147 369 597 833 1039] label_predict: [ 51 147 189 744 813 896 903 1092] label_predict: [ 51 147 189 597 671 738 813 835 1092] label_predict: [ 79 369 438] label_predict: [ 51 147 189 813 1092] label_predict: [ 147 189 671 768 780 1034] label_predict: [ 147 189 813 835 896 1092] label_predict: [ 51 147 189 813 835 1092] label_predict: [ 51 111 147 156 189 813 1046 1092]
1950it [00:50, 36.07it/s]
label_predict: [ 13 51 147 189 813 896 903 1092] label_predict: [ 79 147 189 477 597 639 671 768 780 1034 1035] label_predict: [ 13 51 147 189 813 896 903 1092] label_predict: [ 188 189 194 671 780 1034] label_predict: [ 33 313 420 738 962] label_predict: [ 13 51 111 147 480 483 501 573 725 737 738 776 813 830 923 1046] label_predict: [ 194 480 483 494 725 737 738 744 776 813 830 923 1046 1092 1099] label_predict: [ 121 161 304 1039] label_predict: [ 51 99 121 304 813 1059]
1960it [00:50, 41.34it/s]
label_predict: [ 51 147 189 501 580 733 734 738 813 993 1046 1092] label_predict: [ 79 194 487 624 671 780 1059 1062] label_predict: [ 13 51 147 189 369 552 626 639 671 780] label_predict: [ 79 147 156 189 369 477 612 671 780 813 954 1046 1092] label_predict: [ 121 369 1039] label_predict: [ 51 147 189 671 744 813 1092] label_predict: [ 79 369 438 624 726] label_predict: [ 51 147 156 189 369 586 587 833 1020 1039 1059] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 13 147 671 813 1092 1099]
1970it [00:51, 43.87it/s]
label_predict: [ 51 147 189 430 434 501 559 615] label_predict: [121 161 304 369 415 464 634 813 872] label_predict: [ 51 111 147 189 483 738 776 813 1046] label_predict: [ 121 161 813 1059 1062] label_predict: [ 13 147 189 813 896 1092] label_predict: [ 147 156 189 541 813 1092] label_predict: [121 558 724 754 955] label_predict: [ 147 189 663 800 813 835 1092] label_predict: [ 79 194 354 1059] label_predict: [ 147 156 189 259 418 420 462 541 663 733 800 813 835 993 1092]
1980it [00:51, 44.40it/s]
label_predict: [ 147 189 813 835 1092] label_predict: [ 13 14 147 552 626 671 780] label_predict: [ 13 477 554 670 813 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 51 147 189 671] label_predict: [ 79 147 189 194 420 477 671 813 1059 1092] label_predict: [ 9 33 99 237 313 420 708 738 813 835 955 962] label_predict: [ 369 436 720 813 1019] label_predict: [ 147 189 718 813 896 903 1092]
1990it [00:51, 46.13it/s]
label_predict: [ 79 121 147 156 189 1059 1062] label_predict: [ 96 121 161 236 304 813 900 955 962] label_predict: [ 147 156 189 813 1092] label_predict: [ 99 121 498 718 813 961 1092] label_predict: [ 147 189 671 780 813 1034] label_predict: [147 189 369] label_predict: [ 13 405 813 896 903 1092] label_predict: [ 79 147 189 671 780 1034] label_predict: [ 79 99 121 304 718 813 961 1059 1092] label_predict: [ 51 147 189 663 718 813 896 903 1092]
2000it [00:51, 47.24it/s]
label_predict: [ 79 147 156 189 477 671 780 813 1059 1062 1092] label_predict: [ 13 147 188 552 671 780] label_predict: [ 13 404 405 896 1092] label_predict: [ 13 14 51 147 369 552 626 671 716 780] label_predict: [ 111 480 483 494 725 737 738 776 813 830 923 1046] label_predict: [ 147 304 744 813 872 896 903 1092] label_predict: [ 51 147 188 189 477 597 671 744 780 813 835 1034 1092] label_predict: [ 13 147 554 744 813 896 903 1092] label_predict: [ 147 156 189 744 813 1092] label_predict: [ 13 79 776 1046]
2011it [00:52, 47.65it/s]
label_predict: [ 99 161 304 487 758 1059] label_predict: [ 147 188 189 369 720 813 903 1019 1059] label_predict: [ 147 156 189 498 813 1092] label_predict: [ 79 194 369 1059] label_predict: [ 79 121 194 282 489 1059] label_predict: [ 13 147 189 405 813 896 903 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 147 156 189 259 418 541 542 813 949 1072 1092] label_predict: [ 195 369 587 726 766 884 1020 1039 1059 1084] label_predict: [ 33 313 420 738 962]
2021it [00:52, 46.84it/s]
label_predict: [ 51 135 147 156 322 369 554 584 612 671 746 780 954 1059] label_predict: [ 79 147 189 671 780 1034] label_predict: [121 432 433 520 558 724 955] label_predict: [ 121 188 369 1059] label_predict: [ 121 147 189 194 655 744 813 903 1092] label_predict: [ 147 156 189 332 418 420 541 542 813 835 949 993 1072 1092] label_predict: [ 121 369 586 726 1039] label_predict: [ 147 189 259 800 813 835 1046 1092] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 13 14 51 147 552 555 567 626 716 976 1056]
2026it [00:52, 47.10it/s]
label_predict: [ 51 147 189 212 671 813 1092] label_predict: [ 29 79 147 188 671 733 738 780 813 1046 1092 1099] label_predict: [ 13 51 147 189 430 434 501 545 559 813 1092] label_predict: [ 79 99 125 304 489 1059] label_predict: [ 13 51 147 189 813 896 903 1092] label_predict: [ 51 121 189 498 813 961 1059] label_predict: [ 147 189 369 373 597 671 768 780 1034 1035] label_predict: [ 18 25 161 331 414 423 425 444 534 584 611 642 707 722 733 734 738 751 758 797 800 813 847 897 953 974 993 1059 1062 1092] label_predict: [147 188 189 369]
2037it [00:52, 46.26it/s]
label_predict: [ 188 369 563 671 1034 1061] label_predict: [ 18 25 61 161 304 331 487 584 758 813 1059 1092] label_predict: [ 79 194 280 498 718 813 1059 1092] label_predict: [ 79 99 194 369 1059] label_predict: [ 51 147 156 189 720 813 1092] label_predict: [121 147 189 433 813] label_predict: [ 79 147 188 189 671 813 1092] label_predict: [ 79 147 156 194 489 584 612 671 780 954 1059] label_predict: [ 51 79 147 156 189 369 671 780 1059] label_predict: [ 13 147 552 626 671 780]
2047it [00:52, 38.89it/s]
label_predict: [147 156 189 485 603 607 671 695 780] label_predict: [ 13 147 194 671 780 813 1092] label_predict: [ 13 51 111 147 480 483 501 573 737 738 776 813 830 923 1046] label_predict: [ 55 131 147 189 671 768 780 1034] label_predict: [ 13 51 147 744 813 896 903 1092] label_predict: [ 13 483 501 737 738 776 813 830 923 1046] label_predict: [ 13 189 405 896 903 1092]
2052it [00:53, 39.32it/s]
label_predict: [ 121 147 188 189 597 671 744 813 835 1059 1092] label_predict: [ 51 147 156 189 259 420 733 813 835 993 1092] label_predict: [ 79 147 188 189 552 639 671 780 1034 1035] label_predict: [ 51 79 147 156 189 369 586 1039 1059] label_predict: [ 147 156 189 477 485 603 607 671 695 780 1069] label_predict: [ 51 147 189 450 558 671 744 813 903 1059 1092] label_predict: [ 51 131 147 189 552 671 768 780 1034] label_predict: [ 79 147 188 189 369 477 518 552 639 671 780 925 1034] label_predict: [121] label_predict: [ 147 189 718 813 835 1092]
2067it [00:53, 43.60it/s]
label_predict: [ 13 51 147 189 552 671 780] label_predict: [ 13 147 189 744 813 896 903 1092] label_predict: [ 194 404 744 813 1020 1046 1092 1099] label_predict: [ 121 147 433 552 1039] label_predict: [ 147 189 418 813 949 1092] label_predict: [ 13 41 51 131 147 552 626 671 768 780] label_predict: [ 51 79 147 188 477 671 738 780 813 1046 1092] label_predict: [ 51 147 189 552 671 780 813] label_predict: [ 70 147 189 259 418 733 738 800 813 835 993 1046 1092] label_predict: [ 147 161 189 813 961 1092]
2073it [00:53, 45.66it/s]
label_predict: [ 79 121 304 487 1059 1062] label_predict: [ 51 147 156 189 744 813 896 903 1092] label_predict: [ 147 156 189 671 744 780 813 903 1092] label_predict: [ 13 147 405 813 896 903 1092] label_predict: [ 51 111 147 189 776 813 1046 1092] label_predict: [ 13 14 41 131 147 552 626 671 768 780] label_predict: [ 121 188 369 813 1034 1059] label_predict: [ 483 737 738 776 813 830 931 1046 1092] label_predict: [ 147 189 813 896 1092] label_predict: [ 13 51 147 552 1059]
2083it [00:53, 44.81it/s]
label_predict: [ 79 147 156 189 482 497 498 813 961 1059 1092] label_predict: [ 79 121 194 239 487 813 844 1059 1062] label_predict: [ 79 194 1059] label_predict: [ 13 14 41 51 127 147 552 626 671 768 780] label_predict: [ 51 147 189 744 813 835 903 1092] label_predict: [ 147 189 306 744 811 813 896 903 1092] label_predict: [ 51 79 147 156 189 369 671 780 1059] label_predict: [ 147 189 813 896 903 1092] label_predict: [ 51 147 189 552 671 780 950 1034] label_predict: [ 147 189 369 436 671 780 1034]
2093it [00:53, 46.02it/s]
label_predict: [ 51 147 156 369 532 671 813 1022 1059] label_predict: [ 194 480 483 494 725 737 738 776 813 830 923 1046] label_predict: [ 111 147 189 483 501 738 776 813 1046 1092] label_predict: [ 18 25 161 331 420 423 425 444 534 584 611 642 707 733 734 738 751 758 797 800 813 953 974 993 1059 1062 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 79 147 156 612 671 780 813 1046 1059 1092] label_predict: [ 79 147 156 189 420 671 738 813 1059 1092] label_predict: [ 13 121 433 552] label_predict: [ 79 184 194 487 758 1059 1062] label_predict: [ 51 147 156 189 369 586 587 766 833 1020 1059 1084]
2103it [00:54, 46.76it/s]
label_predict: [ 13 51 147 189 519 813 1092] label_predict: [ 13 51 111 147 189 483 738 776 813 830 1046] label_predict: [ 121 180 189 482 497 498 718 728 813 1092] label_predict: [ 483 501 737 738 813 1046] label_predict: [ 121 147 813 1039 1059] label_predict: [ 51 111 147 189 738 776 813 1046 1092] label_predict: [ 79 121 147 189 194 498 671 813 1034] label_predict: [ 147 189 430 434 501 559 738 813 835 1092] label_predict: [ 51 147 189 671 780 1046 1059]
2113it [00:54, 45.19it/s]
label_predict: [ 13 405 896 903 1092] label_predict: [ 51 76 147 156 189 227 339 477 671 780 813 961 1046 1059 1062 1092] label_predict: [ 147 156 189 813 835 1092] label_predict: [ 79 147 156 189 194 369 477 612 671 744 780 813 1059] label_predict: [ 99 114 161 217 236 304 813 1061] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 121 188 1039 1059] label_predict: [147 156 189 485 603 607 671 695 780] label_predict: [ 147 189 369 744 813 903 1092] label_predict: [ 51 79 147 156 477 671 738 780 813 1046 1059 1092]
2123it [00:54, 44.61it/s]
label_predict: [ 121 184 962 1039 1059] label_predict: [ 147 189 498 813 896 961 1092] label_predict: [ 147 189 612 671 744 780 813 903 1092] label_predict: [ 147 189 418 420 541 542 796 813 949 1072 1092] label_predict: [ 13 147 420 776 813 1046 1092] label_predict: [ 13 445 477 813 896 903 1092] label_predict: [ 147 189 259 813 835 1092] label_predict: [ 147 189 744 813 896 903 1092] label_predict: [ 13 51 147 189 501 738 813 1092] label_predict: [ 13 51 147 189 813 835 1092]
2133it [00:54, 45.78it/s]
label_predict: [ 13 51 147 189 813 896 903 1092] label_predict: [ 13 147 369 587 766 1059 1084] label_predict: [ 13 405 813 896 903 1092] label_predict: [ 147 156 189 369 813 1059 1084] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 147 189 369 552 597 671 780 1034] label_predict: [ 79 147 156 194 227 487 584 671 780 813 1059 1062 1092] label_predict: [ 33 313 420 738 835 962] label_predict: [ 13 147 552 626 671 780] label_predict: [121 125 161 304 754 872 922 955]
2143it [00:55, 46.27it/s]
label_predict: [ 147 156 189 663 813 835 1092] label_predict: [ 147 189 813 896 903 1092] label_predict: [ 121 184 369 766 1039 1059] label_predict: [ 147 189 800 813 1092] label_predict: [ 121 369 726 1039 1059] label_predict: [ 79 121 147 194 671 1059] label_predict: [ 79 147 156 189 194 487 671 780 813 1059 1062 1092] label_predict: [ 147 156 189 813 1046 1092] label_predict: [ 13 180 188 803 813 1092 1099]
2153it [00:55, 35.17it/s]
label_predict: [131 147 189 671 768 780] label_predict: [ 13 147 477 813 896 1092] label_predict: [ 51 147 188 813 1059] label_predict: [ 13 477 813 896 1092] label_predict: [ 79 99 194 354 489 1059] label_predict: [ 51 147 744 813 896 903 1092] label_predict: [121 161 304 450 872 955] label_predict: [ 13 405 813 896 903 1092] label_predict: [ 79 147 156 189 671 813 903 1092] label_predict: [ 13 511 634 813 872 896 903 1092]
2164it [00:55, 41.07it/s]
label_predict: [ 51 79 147 156 189 671 780 813 1059 1062 1092] label_predict: [ 51 147 156 189 671 813 903 1059 1092] label_predict: [ 121 189 482 497 498 813 961 1092] label_predict: [ 111 147 189 259 813 835 1092] label_predict: [188 189 558 813] label_predict: [ 13 51 147 744 813 903 952 1046 1092] label_predict: [ 51 147 189 813 896 1092] label_predict: [ 147 189 744 813 896 1092] label_predict: [ 51 147 156 369 671 1022 1059] label_predict: [ 79 189 194 369 1059]
2174it [00:55, 42.56it/s]
label_predict: [ 51 147 189 430 434 501 559 621 649 738 747 813 871 1092] label_predict: [ 147 189 477 671 780 1034 1035] label_predict: [ 51 147 189 671 780 813 835 1092] label_predict: [ 79 121 415 487 961 1059] label_predict: [ 51 79 147 188 189 477 671 744 780 813 1034 1059 1092] label_predict: [ 131 147 189 671 768 780 1034] label_predict: [ 51 194 480 483 738 776 813 830 1046 1092] label_predict: [ 51 147 156 189 541 813 896 1092] label_predict: [ 13 14 51 147 552 626 671 780 1056] label_predict: [ 147 189 744 813 896 903 1092]
2184it [00:56, 43.52it/s]
label_predict: [ 147 189 671 738 776 780 813 1034 1046 1092] label_predict: [ 51 147 194 671 744 780 813 1092] label_predict: [121 161 304 634 754 872] label_predict: [ 13 14 51 147 552 626 1056] label_predict: [147 189 369 558 671 744 780 813 903] label_predict: [ 147 156 189 259 434 501 541 580 733 738 813 993 1092] label_predict: [ 111 147 156 189 813 1046 1092] label_predict: [ 13 51 147 189 744 813 896 903 1092] label_predict: [ 121 420 433 813 1059]
2190it [00:56, 45.29it/s]
label_predict: [ 79 147 156 189 194 477 612 624 671 780 1059] label_predict: [ 189 378 671 768 1034] label_predict: [ 99 121 161 304 464 493 634 754 840 872 922 1039] label_predict: [ 147 189 418 541 813 1092] label_predict: [ 147 189 744 813 903 1092] label_predict: [ 147 156 189 259 418 541 663 796 813 835 1092] label_predict: [ 79 194 813 844 1059] label_predict: [ 121 369 813 1039] label_predict: [ 147 189 813 896 1092] label_predict: [ 13 51 147 552 626]
2200it [00:56, 46.03it/s]
label_predict: [ 79 121] label_predict: [ 147 189 813 1092] label_predict: [ 147 188 189 194 552 671 780 1034] label_predict: [147 313 420 738 813 835 962] label_predict: [ 13 147 813 1092] label_predict: [ 99 125 161 304 487 758 813 1059] label_predict: [ 480 483 501 737 738 776 813 923 1046] label_predict: [ 131 147 189 552 671 768 780 1034] label_predict: [ 79 194 487 1059 1062] label_predict: [ 51 111 147 156 189 259 733 813 835 1046 1092]
2210it [00:56, 46.76it/s]
label_predict: [ 147 189 306 744 811 813 896 903 1092] label_predict: [ 194 369 498 813 1092] label_predict: [ 13 51 147 552 671 780 813 1092] label_predict: [ 131 147 189 552 671 768 780 1034] label_predict: [ 369 420 1059] label_predict: [ 13 14 51 147 552 626 671 780 1056] label_predict: [ 51 147 194 404 655 744 813 1020 1046 1092] label_predict: [147 156 189 369 671 780] label_predict: [147 156 189 485 603 607 671 695 768 780 999] label_predict: [ 147 189 813 896 1092]
2221it [00:56, 46.97it/s]
label_predict: [ 147 615 813 896 1092] label_predict: [ 51 79 121 147 189 498 813 1059 1092] label_predict: [ 13 776 813 830 896 1046 1092] label_predict: [ 483 738 813 1046 1092] label_predict: [ 121 718 813 1059] label_predict: [ 79 194 487 1059 1062] label_predict: [ 13 51 147 369 655 671 675 780 978] label_predict: [ 147 156 189 259 418 541 542 813 949 1046 1072 1092] label_predict: [ 79 147 189 420 477 671 738 780 813 835 1059] label_predict: [ 13 121 182 754]
2231it [00:57, 46.62it/s]
label_predict: [ 121 369 1039] label_predict: [ 184 189 369 436 1039 1059] label_predict: [ 13 51 147 404 698 813 896 1092] label_predict: [ 188 189 369 813 1034] label_predict: [ 79 194 369 671 780 813 1024 1092 1099] label_predict: [ 13 51 147 698 813 896 952 1092] label_predict: [ 13 147 189 671 813 1092] label_predict: [ 51 79 111 147 156 189 212 227 477 515 584 671 780 813 1059 1062 1092] label_predict: [ 813 1046 1092] label_predict: [615 813 896]
2241it [00:57, 43.81it/s]
label_predict: [ 147 189 671 780 1034] label_predict: [ 9 33 99 313 420 738 813 835 962] label_predict: [ 51 79 147 189 212 813 1059] label_predict: [ 79 194 487 1059 1062] label_predict: [ 147 188 189 369 612 671 780 1059] label_predict: [ 13 51 147 477 671 780 813 1046 1092] label_predict: [ 13 51 111 147 480 483 737 738 776 813 830 923 1046 1092] label_predict: [ 147 369 436 720 744 813 903 1092] label_predict: [ 194 369 436 766 1039 1059]
2251it [00:57, 44.48it/s]
label_predict: [ 51 79 147 189 369 498 671 813 1059 1062 1092] label_predict: [ 99 121 184 304 369 493 1039 1059] label_predict: [ 121 369 1039 1059] label_predict: [ 79 147 189 671 780 1034] label_predict: [ 51 147 189 477 612 671 780 1059] label_predict: [ 13 51 147 519 813 1092] label_predict: [ 13 147 189 335 501 738 813 1046 1092] label_predict: [147 189 369 552 671 780] label_predict: [ 79 147 156 194 227 477 489 584 612 671 780 954 1030 1059] label_predict: [ 79 147 189 194 450 461 477 576 624 639 671 780 1059]
2261it [00:57, 44.97it/s]
label_predict: [ 121 369 1039 1059] label_predict: [ 813 896 1092] label_predict: [ 147 156 189 259 418 541 542 796 813 835 949 1072 1092] label_predict: [ 51 147 189 434 813] label_predict: [ 67 127 156 171 223 245 289 300 337 344 368 369 587 726 766 1020 1039 1059 1084] label_predict: [ 147 156 189 227 813 961 1092] label_predict: [ 99 161 304 331 718 774 813] label_predict: [ 79 147 156 189 477 671 780 1034 1035] label_predict: [ 147 156 189 744 813 896 1092] label_predict: [ 51 147 156 489 584 671 746 780 1059]
2271it [00:57, 46.98it/s]
label_predict: [ 194 404 655 744 813 1020 1092 1099] label_predict: [ 51 147 189 552 671 780 1034 1035] label_predict: [121 433 520 724 813 955 962] label_predict: [ 194 813 844 961 1092] label_predict: [ 99 121 125 161 304 487 1059] label_predict: [ 13 14 51 147 552 626 671 780 1056] label_predict: [ 79 147 156 189 369 477 489 612 671 780 1059] label_predict: [ 147 189 418 541 800 813 835 949 1092] label_predict: [ 180 188 428 434 615 744 803 813 1092 1099] label_predict: [ 13 51 147 744 813 896 903 952 1092]
2281it [00:58, 46.86it/s]
label_predict: [ 13 147 156 189 813 1092] label_predict: [ 147 189 259 418 541 542 738 800 813 835 949 1046 1072 1092] label_predict: [ 369 716 754 1039 1059] label_predict: [ 147 189 482 497 498 813 961 1092] label_predict: [ 13 147 744 813 896 903 1092] label_predict: [ 111 147 189 738 776 813 1046 1092] label_predict: [ 13 194 404 445 655 813 896 903 1092] label_predict: [ 483 501 737 738 776 813 830 931 1046] label_predict: [ 147 156 189 259 418 541 542 813 835 949 1072 1092] label_predict: [ 51 79 147 156 322 489 584 612 671 780 1059]
2286it [00:58, 47.43it/s]
label_predict: [ 79 194 477 671 780 813 1034 1059] label_predict: [ 147 156 189 744 813 1092] label_predict: [ 51 147 189 369 554 558 612 744 813 903 1092] label_predict: [ 131 147 189 378 671 768 780 1034] label_predict: [ 13 51 147 552 626 671 780]
2296it [00:58, 38.54it/s]
label_predict: [ 147 188 189 671 813 1092] label_predict: [ 121 194 813 1092] label_predict: [ 51 147 156 189 212 369 515 671 780 1059] label_predict: [ 51 147 189 813 835 1092] label_predict: [ 13 147 189 744 813 896 903 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 13 51 147 552 626 1056] label_predict: [147 156 189 485 603 671 695 780] label_predict: [ 121 369 433 1039 1059] label_predict: [ 13 14 51 147 552 716]
2307it [00:58, 43.49it/s]
label_predict: [ 25 79 161 487 813 1059 1062 1092] label_predict: [ 79 99 194 489 1059] label_predict: [ 147 189 304 744 813 903 1092] label_predict: [ 99 121 718 813 896 961 1092] label_predict: [147 156 189 485 603 671 695 780] label_predict: [ 147 189 418 813 835 1092] label_predict: [ 121 161 304 369 464 495 634 872 1039] label_predict: [ 79 147 156 189 420 477 671 780 813 835 1046 1059 1092] label_predict: [ 13 14 147 552 626 671 780] label_predict: [ 147 369 436 720 813 1019 1059] label_predict: [ 13 147 813 896 903 1092]
2319it [00:59, 46.95it/s]
label_predict: [ 121 184 313 415 487 833 962 1039 1059] label_predict: [ 13 51 147 194 477 671 780 813 1092] label_predict: [ 51 79 147 156 212 227 339 477 584 671 780 813 1046 1059 1062 1092] label_predict: [ 111 147 189 813 1092] label_predict: [ 13 14 51 147 552 626 671 780 1056] label_predict: [ 51 147 156 189 671 1059] label_predict: [ 51 147 189 813 896 961 1092] label_predict: [ 111 147 156 189 259 418 541 796 813 949 1092] label_predict: [ 121 188 432 582 724 1023 1059] label_predict: [ 79 147 189 671 780 1034]
2329it [00:59, 45.82it/s]
label_predict: [ 147 189 813 1059 1092] label_predict: [ 79 147 194 477 671 780 1046 1099] label_predict: [ 51 194 404 744 813 1092 1099] label_predict: [615 813 896] label_predict: [ 51 147 189 369 586 833 884 1020 1039 1059] label_predict: [ 13 51 147 189 813 1092] label_predict: [ 51 147 189 813 1046 1092] label_predict: [ 79 369 438 726] label_predict: [ 147 189 718 813 896 903 1092] label_predict: [182 184 194 313 420 754 962]
2334it [00:59, 45.69it/s]
label_predict: [ 70 147 189 663 800 813 835 1092] label_predict: [ 13 147 813] label_predict: [121 813] label_predict: [ 79 147 813 1059] label_predict: [ 79 147 189 194 671 780 1059] label_predict: [ 147 189 418 541 813 949 1092] label_predict: [ 121 813 1046 1092] label_predict: [ 51 111 147 189 744 813 903 1092] label_predict: [ 33 420 738 962]
2344it [00:59, 43.13it/s]
label_predict: [ 369 586 587 672 766 833 884 1039] label_predict: [ 13 147 156 189 671 780 813 1092] label_predict: [147 156 189 477 485 603 671 780] label_predict: [ 147 156 189 541 813 835 1092] label_predict: [ 79 121 813 1059] label_predict: [ 79 184 487 1059 1062] label_predict: [ 51 147 189 306 744 813 889 903 1092] label_predict: [ 147 189 552 655 671 813 1092] label_predict: [ 51 99 121 212 304 813 1059] label_predict: [ 33 313 420 738 962]
2354it [00:59, 44.77it/s]
label_predict: [ 121 487 1039 1059] label_predict: [ 79 147 194 671 738 776 813 830 1046 1092] label_predict: [ 51 147 156 189 369 587 1059] label_predict: [ 79 147 156 189 194 813 961 1092] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 79 147 156 194 671 780 813 1046 1059 1092] label_predict: [ 79 188 189 518 552 639 671 780 1034 1035] label_predict: [ 79 121 184 194 487 1059] label_predict: [ 147 156 189 541 813 1092] label_predict: [ 51 111 147 189 420 483 737 738 776 813 1046 1092]
2359it [00:59, 45.48it/s]
label_predict: [ 121 433 1059] label_predict: [ 121 369 833 884 1039] label_predict: [ 13 51 70 147 189 813 1092] label_predict: [ 121 194 415 1039]
2370it [01:00, 38.12it/s]
label_predict: [ 13 147 189 813 896 1092] label_predict: [ 33 99 420 738 835 955 962] label_predict: [ 79 147 156 189 671 813 1046 1059 1092] label_predict: [ 121 433 724 1039] label_predict: [ 51 79 147 156 487 671 780 813 1059 1062 1092] label_predict: [ 184 188 369 647 720 1059] label_predict: [188 189 369 489 597 612 671 780] label_predict: [ 99 161 304 718 813 961 1092] label_predict: [ 121 718 813 1059 1092] label_predict: [ 13 51 147 552 716 780]
2380it [01:00, 42.35it/s]
label_predict: [ 51 147 156 189 671 780 813 1059 1092] label_predict: [ 51 111 147 189 430 434 501 559 738 813 1046 1092] label_predict: [ 121 147 369 433 1059] label_predict: [ 147 156 189 259 418 541 542 813 835 949 1072 1092] label_predict: [ 483 494 501 737 738 813 830 931 1046] label_predict: [ 51 147 189 813 1092] label_predict: [ 147 156 189 418 541 542 796 813 835 949 1072 1092] label_predict: [ 483 738 776 813 830 1046] label_predict: [ 51 147 480 483 737 738 776 813 830 923 1046 1092] label_predict: [ 147 156 332 541 542 813 949 1072 1092]
2391it [01:00, 42.33it/s]
label_predict: [ 131 147 155 189 378 671 768 780 1034] label_predict: [ 434 483 501 545 737 738 813 931 1046] label_predict: [ 147 156 189 369 477 671 780 813 1092] label_predict: [ 79 147 194 369 552 671 780 1059] label_predict: [ 147 369 436 720 744 813 896 903 1019] label_predict: [ 13 51 147 189 718 744 813 896 903 1092] label_predict: [ 51 79 147 487 671 780 813 1092] label_predict: [ 51 121 147 433 724 813 1059 1092] label_predict: [ 51 147 189 744 813 896 903 1092] label_predict: [ 147 189 420 813 1092] label_predict: [ 13 147 813 896 903 1092]
2402it [01:00, 44.83it/s]
label_predict: [ 79 487 758 1059 1062] label_predict: [121 194 415 844] label_predict: [ 79 147 189 477 671 780 1034 1035] label_predict: [121 189 204 304 813 872] label_predict: [ 79 184 188 369 436 487 1059] label_predict: [ 51 147 189 212 304 489 584 671 813 1059] label_predict: [ 79 147 184 194 369 489 584 1059] label_predict: [121 147 189 433 718 813] label_predict: [ 13 404 813 896 1092] label_predict: [ 615 813 896 1092]
2412it [01:01, 44.22it/s]
label_predict: [ 13 147 813 896 1092] label_predict: [ 188 489 612 1059] label_predict: [ 13 51 147 552 626 671 716 780 1092] label_predict: [ 147 156 189 259 418 541 542 813 835 949 1020 1072 1084 1092] label_predict: [ 156 189 259 420 541 663 800 813 835 993 1084 1092] label_predict: [ 79 487 671 1059 1062] label_predict: [ 51 147 434 813 1092] label_predict: [ 121 147 189 552 671 768 780 1034 1035] label_predict: [ 79 121 184 194 1059]
2417it [01:01, 43.21it/s]
label_predict: [ 13 477 813] label_predict: [ 194 671 780 1034 1046] label_predict: [ 51 147 188 189 194 477 671 780 1034] label_predict: [ 13 51 111 147 189 483 738 776 813 1046 1092] label_predict: [ 51 79 147 156 189 369 477 671 780 813 1059] label_predict: [ 13 131 147 189 552 671 768 780] label_predict: [ 147 156 189 744 813 1092] label_predict: [ 79 147 188 518 639 671 780 1034] label_predict: [ 25 161 332 369 813 1019 1059 1092]
2428it [01:01, 45.88it/s]
label_predict: [ 51 147 156 189 813 961 1092] label_predict: [ 99 121 304 718 813 1092] label_predict: [ 25 99 161 304 331 487 758 813 961 1059 1092] label_predict: [ 147 189 477 639 671 780 813 1034 1092] label_predict: [ 51 147 189 615 744 813 896 903 1092] label_predict: [ 125 161 192 304 369 495 1039 1059] label_predict: [ 51 147 156 189 671 813 1092] label_predict: [ 99 121 432 433 724 1059] label_predict: [ 13 147 189 335 813 1092] label_predict: [ 18 25 61 161 304 331 487 489 584 758 813 1059 1062] label_predict: [ 147 156 189 477 485 603 607 671 780 1069]
2438it [01:01, 45.83it/s]
label_predict: [ 111 147 156 189 738 813 1046 1092] label_predict: [121 147 189 433 671 744 780] label_predict: [ 231 369 489 1039 1059] label_predict: [ 194 477 671 780 813 1059 1092] label_predict: [ 51 147 189 813 835 1092] label_predict: [ 79 369 726 1039 1084] label_predict: [121 415 724 922 955 962] label_predict: [ 147 156 189 259 541 663 800 813 835 1092] label_predict: [ 79 194 487 671 1059 1062] label_predict: [ 79 147 189 369 639 671 780 1034 1035]
2448it [01:01, 47.38it/s]
label_predict: [ 147 156 189 541 542 813 835 949 993 1092] label_predict: [ 147 189 430 434 559 813 835 1092] label_predict: [ 13 405 813 896 903 1092] label_predict: [ 13 147 189 813 896 1092] label_predict: [ 79 147 188 189 552 671 780 1034] label_predict: [ 51 147 156 161 189 671 813 1059 1092] label_predict: [ 51 369 671 813 1059 1092] label_predict: [ 147 156 189 335 418 420 541 542 671 733 738 813 1046 1092] label_predict: [ 79 147 189 369 671 780 1034] label_predict: [ 161 194 304 487 813 961 1059]
2459it [01:02, 42.63it/s]
label_predict: [ 194 477 485 671 738 744 813 890 1046 1092 1099] label_predict: [ 13 194 332 404 477 655 671 688 780 813 888 978 1092] label_predict: [ 147 156 189 259 418 541 542 579 663 796 800 813 835 949 1072 1092] label_predict: [ 13 51 147 188 744 813 1092 1099] label_predict: [ 131 147 189 378 671 768 780 1034] label_predict: [ 79 121 147 369 671 780 1059] label_predict: [ 147 189 418 541 542 796 813 949 1092] label_predict: [ 51 147 156 189 212 283 515 554 628 671 746 780 813 1059]
2469it [01:02, 44.48it/s]
label_predict: [ 147 189 813 835 1092] label_predict: [ 51 147 189 597 1092] label_predict: [ 51 147 194 738 813 1046 1092] label_predict: [147 189 369] label_predict: [ 99 121 161 304 487 758 1059] label_predict: [ 79 147 156 189 671 813 1059 1092] label_predict: [ 13 51 111 147 189 483 738 813 1046 1092] label_predict: [ 147 1059] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 718 813 896 1092]
2474it [01:02, 43.75it/s]
label_predict: [ 51 147 188 189 477 489 612 671 780 813 1092] label_predict: [ 121 433 724 1039] label_predict: [ 33 121 420 582 962 1023] label_predict: [ 121 147 189 369 671 780 1034] label_predict: [ 13 51 111 147 738 776 813 1046 1092] label_predict: [ 79 147 189 671 780 1034] label_predict: [ 111 147 189 259 813 835 1046 1092] label_predict: [ 147 189 813 896 1092]
2484it [01:02, 43.70it/s]
label_predict: [ 121 147 188 189 597 671 813 1034 1092] label_predict: [182 369 754] label_predict: [ 51 147 194 404 655 744 813 1046 1092] label_predict: [ 147 156 189 259 418 541 542 579 813 949 1072 1092] label_predict: [ 161 304 331 489 584 1059] label_predict: [ 51 111 147 189 483 738 776 813 1046 1092] label_predict: [ 147 189 671 744 813 903 1092] label_predict: [ 51 147 189 813 835 1092] label_predict: [ 188 231 464 507 813 1039] label_predict: [ 13 51 121 147 552]
2494it [01:03, 44.50it/s]
label_predict: [ 79 147 156 194 671 780 1059] label_predict: [ 79 147 189 671 780 1034 1035] label_predict: [ 13 14 41 127 147 552 626 671 768 780] label_predict: [ 13 51 111 147 480 483 725 737 738 776 830 923 1046] label_predict: [ 79 147 156 487 671 780 1059 1062] label_predict: [ 304 487 1059] label_predict: [ 147 189 813 835 1092] label_predict: [ 121 147 194 369 436 813 1059] label_predict: [ 147 156 189 813 1092]
2504it [01:03, 44.08it/s]
label_predict: [ 79 147 188 189 477 597 671 780 813] label_predict: [ 79 147 156 189 671 813 1046 1092] label_predict: [ 13 51 147 194 404 744 813 1092] label_predict: [ 79 147 189 813 1046 1092] label_predict: [ 51 147 156 189 212 283 671 780 813 1059 1092] label_predict: [ 13 79 147] label_predict: [ 13 51 147 189 813 896 903 1046 1092] label_predict: [ 13 51 147 194 671 780 813 1092] label_predict: [ 79 147 194 671 780 813 1092]
2515it [01:03, 41.26it/s]
label_predict: [ 194 404 813 1020 1092] label_predict: [ 79 369 438 1039] label_predict: [ 147 404 698 747 813 896 1092] label_predict: [ 51 147 189 612 744 813 903 1092] label_predict: [ 79 184 249 313 489 584 1059] label_predict: [ 99 121 161 304 718 813 961 1059 1092] label_predict: [ 99 121 433 1059] label_predict: [ 79 194 487 489 671 780 1059 1062] label_predict: [ 13 51 147 189 671 813 1092] label_predict: [ 147 156 189 259 418 541 800 813 835 1092] label_predict: [ 13 51 147 189 813 1046 1092]
2526it [01:03, 44.92it/s]
label_predict: [ 79 194 477 671 780 1034 1046] label_predict: [121 147 464 634 671 872] label_predict: [ 79 147 156 189 813 1059 1092] label_predict: [ 79 125 161 194 304 487 758 1059 1062] label_predict: [ 147 189 259 418 541 663 796 800 813 835 949 993 1072 1092] label_predict: [ 13 14 51 147 552 626 716 813 896 1092] label_predict: [ 147 156 189 418 541 813 1046 1092] label_predict: [ 99 121 420 433 718 813 1092] label_predict: [ 147 189 335 718 813 903 1092] label_predict: [ 79 147 188 189 518 671 780 1034 1035]
2536it [01:04, 43.98it/s]
label_predict: [ 121 189 482 497 498 718 813 961 1092] label_predict: [ 99 189 482 497 498 718 813 896 961 1092] label_predict: [ 813 896 1092] label_predict: [ 51 147 156 189 212 489 584 671 1059] label_predict: [ 13 147 813 896 1092] label_predict: [ 99 125 161 192 204 304 495 634 1039] label_predict: [ 13 111 147 156 189 671 738 780 813 1034 1046] label_predict: [ 13 51 147 156 189 227 813 896 961 1092] label_predict: [ 79 147 156 189 477 671 780 813 1046]
2541it [01:04, 43.72it/s]
label_predict: [ 147 156 188 189 485 615 744 803 813 1099] label_predict: [ 147 156 189 477 485 603 671 780 813 835 1069] label_predict: [147 156 189 477 485 603 671 780 813 835] label_predict: [ 13 147 189 430 434 501 559 738 813 1092] label_predict: [ 147 156 189 813 896 1092] label_predict: [ 51 147 156 194 227 477 489 584 612 671 780 813 954 1030 1059 1092] label_predict: [ 99 147 189 718 813 961 1092] label_predict: [ 116 121 304 465 487 735 748 758 955 1059] label_predict: [147 194 552 671] label_predict: [ 51 79 147 156 477 487 671 780 813 1059 1062 1092]
2553it [01:04, 47.13it/s]
label_predict: [ 147 189 744 813 896 903 962 1092] label_predict: [ 99 161 236 304 489 774 1059] label_predict: [ 99 718 813 961 1092] label_predict: [ 79 194 465 487 584 1059 1062] label_predict: [ 79 147 189 194 671 780 813 1046 1092] label_predict: [ 51 147 189 733 813 993 1046 1092] label_predict: [ 79 184 194 487 584 758 1059 1062] label_predict: [ 13 14 51 147 552 626 976 1056] label_predict: [ 99 121 125 161 204 304 415 464 634 872] label_predict: [ 51 79 121 189 1059] label_predict: [ 304 487 758 1059]
2564it [01:04, 47.91it/s]
label_predict: [ 51 79 147 156 189 671 780 813 1046 1059 1062 1092] label_predict: [147 156 189 485 603 607 671 695 780 999] label_predict: [ 51 147 156 584 813 1059] label_predict: [121 464 922] label_predict: [ 180 188 615 750 803 813 1099] label_predict: [116 121 161 285 369 415 450 464 634 682 684 738 754 813 872 889 955 961] label_predict: [ 13 51 147 189 813 896 1092] label_predict: [ 147 189 552 671 768 780 1034] label_predict: [ 121 188 1039 1059]
2574it [01:04, 42.06it/s]
label_predict: [ 147 156 189 813 1059 1092] label_predict: [147 189 552 671 768 780] label_predict: [ 13 147 189 420 477 671 776 780 813 1046 1092] label_predict: [ 79 194 477 671 738 776 780 813 1034 1046 1059 1092 1099] label_predict: [121 147 156 189 369 552 597 671 684 738 754 780 872] label_predict: [ 79 121 147 1039 1059] label_predict: [ 121 189 304 498 718 813 961 1092] label_predict: [ 188 507 718 813 1059]
2584it [01:05, 45.03it/s]
label_predict: [ 147 615 813 896 1092] label_predict: [ 79 194 489 671 780 1059] label_predict: [ 99 161 304 489 774 1059] label_predict: [ 25 161 194 304 487 584 758 813 1059 1092] label_predict: [ 51 147 156 189 227 339 813 961 1059 1092] label_predict: [ 51 147 156 189 485 603 671 780 813 1092] label_predict: [ 13 147 655 813 896 1092] label_predict: [ 147 189 554 744 811 813 896 903 1092] label_predict: [ 51 147 156 189 813 835 1046 1092] label_predict: [ 13 51 147 813 896 1092] label_predict: [ 99 161 304 487 718 813 961 1092]
2594it [01:05, 46.13it/s]
label_predict: [ 147 189 418 800 813 835 1092] label_predict: [ 121 415 432 433 520 724 1039] label_predict: [ 51 147 188 189 744 813 1092 1099] label_predict: [ 161 189 718 813 872 961 1092] label_predict: [ 79 280 369 1059 1061] label_predict: [ 13 51 147 189 813 1092] label_predict: [121 161 204 304] label_predict: [ 194 813 844 1092] label_predict: [ 79 121 147 188 189 194 671 1034 1059] label_predict: [ 194 404 655 671 744 813 1020 1092 1099]
2605it [01:05, 47.08it/s]
label_predict: [ 121 415 464 1039] label_predict: [ 147 554 744 813 896 903 1092] label_predict: [ 13 51 147 552 626 671 780] label_predict: [ 480 483 501 737 738 776 813 1046] label_predict: [ 79 147 189 477 639 671 780 1034 1035 1046] label_predict: [ 147 189 738 813 1046 1092] label_predict: [147 156 189 485 603 671 780] label_predict: [ 121 362 369 650 718 724 735 809 813 1023 1059 1092] label_predict: [ 147 156 189 813 1092] label_predict: [ 13 147 813 896 903 1092]
2610it [01:05, 45.65it/s]
label_predict: [ 147 156 189 498 813 961 1092] label_predict: [ 79 147 189 194 612 671 744 780 813 903 1092] label_predict: [ 147 189 671 780 1034] label_predict: [ 111 147 156 189 259 418 541 813 835 1046 1092] label_predict: [ 79 147 189 552 639 671 780 925 1034] label_predict: [ 147 189 671 780 1034] label_predict: [ 96 161 236 304 813 900 962]
2620it [01:05, 40.92it/s]
label_predict: [ 131 147 189 378 671 768 780 1034] label_predict: [ 18 25 61 161 304 331 489 584 758 813 1059] label_predict: [ 483 494 737 738 776 813 830 1046 1092] label_predict: [ 147 194 744 813 903 1092] label_predict: [ 125 161 189 204 304 1059] label_predict: [ 121 369 1039] label_predict: [ 147 156 189 259 541 813 835 1092] label_predict: [ 189 369 1059] label_predict: [ 147 189 671 768 780 1034] label_predict: [ 194 404 744 813 1020 1092 1099]
2630it [01:06, 42.60it/s]
label_predict: [ 51 147 189 434 813] label_predict: [ 51 147 189 194 485 671 744 780 813 1092 1099] label_predict: [ 111 147 189 480 483 501 737 738 776 813 923 1046] label_predict: [ 51 147 156 189 515 584 628 813 1059 1092] label_predict: [121 420 962] label_predict: [ 51 79 147 188 189 369 489 612 671 780 813 1059] label_predict: [ 79 194 477 483 671 737 738 776 780 830 1046] label_predict: [ 79 147 189 671 780 813 1034 1046 1092] label_predict: [ 13 51 147 813 1092] label_predict: [ 121 147 156 189 482 497 498 813 949 961 1092]
2640it [01:06, 44.48it/s]
label_predict: [121 420 738 813 835 962] label_predict: [ 79 156 194 813 1059 1092] label_predict: [ 131 147 189 552 671 768 780 1034] label_predict: [ 121 415 464 955 962 1039] label_predict: [ 13 51 147 655 813 1059 1092] label_predict: [ 147 156 189 259 418 541 800 813 835 1092] label_predict: [ 51 111 147 189 738 813 1046 1092] label_predict: [ 51 121 161 189 813 1059 1062] label_predict: [ 13 51 147 189 813 1046 1092] label_predict: [121 147 433 724]
2650it [01:06, 44.29it/s]
label_predict: [ 51 58 147 188 189 369 428 558 597 671 744 813 1059] label_predict: [ 147 189 418 541 800 813 835 949 1092] label_predict: [ 51 111 147 189 480 483 737 738 776 813 1046 1092] label_predict: [ 13 420 813 1092] label_predict: [ 51 79 147 156 189 624 671 738 744 780 813 925 1059] label_predict: [ 51 147 189 738 813 1046 1092] label_predict: [ 147 156 189 541 813 949 1092] label_predict: [ 51 79 147 156 189 194 227 369 477 489 584 612 655 671 780 813 954 1046 1059 1092] label_predict: [ 51 147 189 813 1046 1092]
2660it [01:06, 46.47it/s]
label_predict: [ 13 147 189 813 896 1092] label_predict: [ 121 415 433 464 724 1039] label_predict: [ 79 147 156 189 477 671 738 780 813 835 1046 1092] label_predict: [ 13 51 147 552 671 780] label_predict: [ 121 161 189 304 718 813 1092] label_predict: [ 67 156 189 223 245 300 337 344 355 368 369 587 726 766 1020 1059 1084] label_predict: [ 51 189 482 497 498 813 961 1059 1092] label_predict: [ 13 51 79 147 483 737 738 776 813 830 923 1046] label_predict: [ 13 14 147 552 626 1056] label_predict: [ 51 147 189 335 813 835 1092]
2670it [01:06, 46.99it/s]
label_predict: [ 147 156 189 813 835 1092] label_predict: [ 51 147 189 615 744 813] label_predict: [ 79 147 194 477 671 738 776 813 1046 1092 1099] label_predict: [ 79 194 369 489 1059] label_predict: [ 99 121 718 813 1059 1092] label_predict: [ 147 156 189 259 418 541 542 813 835 1046 1072 1092] label_predict: [ 188 231 369 464 507 1039 1059 1085] label_predict: [ 51 147 189 420 738 813 1046 1092] label_predict: [ 79 188 518 639 671 780 1034] label_predict: [ 13 147 156 813 872 896 903 1092]
2680it [01:07, 47.47it/s]
label_predict: [ 147 156 189 259 418 541 542 813 949 1072 1092] label_predict: [ 13 147 189 813 1092] label_predict: [ 13 121 813 1092] label_predict: [121 304 464 872] label_predict: [ 147 189 420 738 776 813 1046 1092] label_predict: [ 79 194 489 584 1059] label_predict: [ 99 121 125 161 304 1039] label_predict: [ 147 156 189 541 813 835 1092] label_predict: [ 51 147 156 369 1059] label_predict: [ 13 51 147 483 776 813 1046 1092]
2690it [01:07, 46.13it/s]
label_predict: [ 111 147 189 813 896 1092] label_predict: [ 161 194 813 1059 1092] label_predict: [ 79 194 489 584 624 671 780 1059 1062] label_predict: [ 121 147 369 552 671 780 1059] label_predict: [ 13 51 147 189 718 813 896 903 1092] label_predict: [ 483 737 738 776 813 830 1046 1092] label_predict: [ 79 147 188 671 780 813 1034 1092] label_predict: [ 51 147 156 189 498 720 813 961 1092] label_predict: [ 51 121 147 188 369 434 724 813 1059 1099] label_predict: [ 79 121 147 189 498 671 813 1059 1092]
2700it [01:07, 47.14it/s]
label_predict: [ 111 147 189 813 1046 1092] label_predict: [ 79 194 487 1059 1062] label_predict: [ 79 125 161 304 487 1059 1062] label_predict: [ 188 489 1059] label_predict: [121 194 415 487 684 735] label_predict: [ 147 189 718 813 896 1092] label_predict: [ 13 51 147 189 813 896 903 1092] label_predict: [ 13 51 147 156 189 335 420 501 733 738 813 1046 1092] label_predict: [121 304 464 634 813 872] label_predict: [ 13 51 147 552 555 626 671 780]
2710it [01:07, 45.37it/s]
label_predict: [ 13 79 147 194 813 1092] label_predict: [ 147 156 189 259 418 541 542 579 813 949 1020 1072 1092] label_predict: [ 51 147 813 1059 1092] label_predict: [ 25 161 194 420 489 584 813 1059 1092] label_predict: [ 79 189 487 813 1059 1062] label_predict: [ 51 147 369 489 744 1059] label_predict: [ 13 51 147 156 477 671 780 813 1046 1092] label_predict: [ 10 11 16 19 20 22 24 29 37 39 45 48 52 54 56 62 76 78 79 80 84 87 89 90 92 93 94 98 101 111 115 116 117 119 120 121 123 127 130 132 133 141 142 144 152 158 161 166 167 176 179 189 191 200 203 205 206 226 229 232 236 238 239 242 245 246 248 256 257 264 266 268 269 272 274 275 276 278 279 280 281 282 283 284 286 289 294 296 297 299 303 304 306 307 311 313 315 316 317 320 332 335 337 341 343 344 350 356 359 365 368 374 375 383 386 389 398 402 403 404 410 415 416 417 418 419 422 424 425 431 433 439 451 458 464 465 466 469 470 471 473 475 478 484 486 487 493 501 506 512 522 536 537 541 543 544 547 549 555 559 562 563 565 566 568 569 571 575 581 582 589 592 595 597 598 600 602 605 606 607 608 611 616 617 620 623 624 635 638 640 641 646 650 651 652 654 658 660 662 665 677 681 682 684 691 693 694 695 697 698 700 702 703 704 705 707 708 712 714 715 718 722 724 733 735 741 742 743 744 747 748 749 752 756 772 774 776 777 781 793 796 797 799 807 808 815 817 819 825 828 829 831 834 837 838 841 844 847 851 860 862 864 869 874 875 879 882 894 900 901 906 908 909 910 912 925 927 928 931 932 937 938 939 941 944 947 949 953 954 955 958 967 968 973 978 980 984 987 990 991 993 996 1001 1002 1007 1009 1010 1017 1023 1024 1025 1026 1032 1034 1037 1039 1041 1043 1048 1052 1054 1055 1059 1062 1064 1075 1078 1079 1082 1086 1088 1092 1094 1095 1098 1099 1100 1101] label_predict: [ 13 477 554 670 693 729 746 813 896 1092] label_predict: [ 147 189 501 738 744 813 1092]
2721it [01:08, 45.28it/s]
label_predict: [ 51 147 189 663 718 813 903 1092] label_predict: [ 79 147 156 189 498 813 961 1059 1092] label_predict: [ 13 51 147 744 813 896 903 1092] label_predict: [ 79 147 156 194 369 477 489 612 671 780 954] label_predict: [ 51 147 156 189 477 485 603 671 695 780 999] label_predict: [ 13 121 147 182 189 420 552 671 754 780 1059] label_predict: [ 18 25 51 61 99 125 161 304 331 487 489 584 612 647 758 813 885 1059 1062] label_predict: [ 147 156 189 259 418 541 542 579 796 813 896 949 1072 1092] label_predict: [ 79 188 194 477 498 671 780 813 1046 1059 1092 1099] label_predict: [ 99 125 161 304 464 634 754 813 872 922]
2731it [01:08, 46.26it/s]
label_predict: [ 51 147 189 671 813] label_predict: [ 13 404 405 813 896 903 1092] label_predict: [ 99 121 147 493 634 754 840 922 1059] label_predict: [ 51 76 79 147 156 227 339 671 780 813 961 1059 1062 1092] label_predict: [ 13 147 480 483 501 519 737 738 813 1046] label_predict: [ 121 483 738 830 1046] label_predict: [ 79 111 147 189 477 639 671 780 813 950 1034 1035 1046 1059] label_predict: [ 51 147 156 189 584 671 1059] label_predict: [ 147 189 418 813 949 1092] label_predict: [ 13 51 147 189 813 1046 1092]
2736it [01:08, 46.14it/s]
label_predict: [ 99 121 161 304 774 813 1061] label_predict: [ 51 147 189 671 780 813 1092] label_predict: [ 13 51 111 147 189 480 483 501 737 738 776 813 923 931 975 1046] label_predict: [ 121 147 189 369 552 555 626 671 780 1034] label_predict: [ 13 813 1092] label_predict: [ 79 147 194 489 671 1059] label_predict: [ 99 147 189 718 813 896 961 1092] label_predict: [ 147 156 332 541 744 813 1092] label_predict: [ 111 147 189 418 671 780 813 1046 1092] label_predict: [ 99 121 369 436 813 1059]
2747it [01:08, 44.90it/s]
label_predict: [ 99 161 304 1059] label_predict: [ 147 189 813 1046 1092] label_predict: [ 51 99 212 304 369 489 612 1059] label_predict: [ 121 147 156 189 738 813 1092] label_predict: [ 147 189 369 597 671 780 1034 1035] label_predict: [ 79 147 189 194 671 780 813 1034 1046 1092] label_predict: [121] label_predict: [ 51 147 189 813 1092] label_predict: [ 13 147 552 671 780]
2757it [01:08, 42.26it/s]
label_predict: [ 13 51 121 147 433 552] label_predict: [ 79 147 156 194 671 780 1059 1062] label_predict: [ 483 501 737 738 776 813 931 1046] label_predict: [ 147 189 671 768 1034] label_predict: [ 147 156 189 671 1059] label_predict: [ 147 420 738 813 1046 1092] label_predict: [ 13 51 147 189 813 896 1092] label_predict: [ 79 194 487 489 584 1059 1062] label_predict: [ 121 369 464 754 1039]
2767it [01:09, 44.40it/s]
label_predict: [ 13 404 405 896 1092] label_predict: [ 111 147 189 483 738 813 1046 1092] label_predict: [ 51 79 147 194 813 1059 1092] label_predict: [ 79 99 121 354 369 1059] label_predict: [ 147 156 465 584 1059] label_predict: [ 111 147 189 480 483 501 737 738 776 813 923 1046] label_predict: [ 147 189 663 800 813 835 1046 1092] label_predict: [ 79 184 313 489 584 1039 1059] label_predict: [ 51 147 156 189 430 434 501 559 738 813 1046 1092] label_predict: [ 184 304 369 1039]
2777it [01:09, 44.71it/s]
label_predict: [ 147 189 335 477 639 671 780 1034 1035] label_predict: [ 147 156 194 369 420 477 655 671 780 813 844 1059 1092] label_predict: [ 147 189 259 418 738 800 813 835 1046 1092] label_predict: [ 79 147 194 477 671 780 813 1034 1046] label_predict: [ 79 194 477 487 671 780 813 1059 1062] label_predict: [ 13 147 738 813 1046 1092] label_predict: [ 79 147 189 369 671 780 925 1034] label_predict: [ 121 147 189 420 813 1046 1092] label_predict: [ 147 189 418 813 835 1092] label_predict: [161 304 420 464 634 754 872 962]
2788it [01:09, 45.29it/s]
label_predict: [ 79 184 188 313 489 1039 1059] label_predict: [ 99 121 161 304 718 813 961 1092] label_predict: [ 111 147 483 738 776 813 1046 1092] label_predict: [ 13 51 147 671 744 813 1092] label_predict: [ 51 79 121 189 194 498 671 813 1059] label_predict: [ 79 147 189 671 738 813 1059 1092] label_predict: [ 13 79 194 487 671 780 1059 1062] label_predict: [ 121 369 489 1039 1059] label_predict: [ 480 483 501 737 738 776 830 923 1046] label_predict: [ 13 813 896 1092]
2798it [01:09, 45.21it/s]
label_predict: [ 79 111 147 156 189 477 671 738 780 813 1046 1092] label_predict: [ 121 161 304 369 487 718 813 961 1059 1092] label_predict: [121 304 464 634 754 872] label_predict: [ 51 79 147 156 189 477 671 780 813 1046 1059 1062 1092] label_predict: [ 79 147 156 671 780 813 1046 1059 1092] label_predict: [ 147 813 896 1092] label_predict: [ 121 420 433 724 1059] label_predict: [ 147 189 671 780 813 1034 1035 1092] label_predict: [ 147 189 813 1092] label_predict: [ 156 369 1059 1062]
2809it [01:10, 47.69it/s]
label_predict: [ 147 156 189 430 434 501 559 738 744 813 835 1092] label_predict: [ 51 111 147 189 259 420 738 776 813 1046 1092] label_predict: [ 51 147 189 813 896 903 1092] label_predict: [ 483 737 738 776 813 830 1046] label_predict: [ 116 121 133 161 289 304 313 374 415 464 473 563 589 597 600 650 681 684 704 705 718 724 735 748 949 955 1026] label_predict: [ 79 147 156 189 194 671 780 813 1059] label_predict: [ 99 121 161 304 813 961] label_predict: [ 13 51 147 813 896 1092] label_predict: [ 79 188 282 487 489 1059] label_predict: [ 121 161 217 236 304 1059 1061] label_predict: [ 51 147 156 161 189 515 813 1059 1092]
2819it [01:10, 46.06it/s]
label_predict: [ 121 184 313 962 1039] label_predict: [ 51 147 189 734 813 993 1092] label_predict: [ 79 194 487 489 624 671 780 1059 1062] label_predict: [ 13 51 147 194 813 1092] label_predict: [ 147 156 189 259 813 835 1046 1092] label_predict: [ 51 147 156 189 671 780 813 835 1092] label_predict: [ 147 369 587 766 1020 1039 1059] label_predict: [121 433 813] label_predict: [ 121 369 487 718 1059] label_predict: [ 79 147 156 194 489 584 612 671 780 954 1059]
2829it [01:10, 44.91it/s]
label_predict: [ 33 420 738 813 835 962] label_predict: [ 13 79 194 477 480 483 671 737 738 776 813 830 1034 1046] label_predict: [ 121 147 189 813 949 1092] label_predict: [ 13 41 147 189 552 671 768 780] label_predict: [ 51 147 189 434 615 813 1092] label_predict: [ 121 147 1034] label_predict: [ 25 147 156 161 189 584 738 813 1059 1062 1092] label_predict: [ 147 156 189 259 418 541 542 813 835 949 1046 1072 1092] label_predict: [ 147 189 655 671 744 813 903 1092]
2834it [01:10, 45.24it/s]
label_predict: [ 13 698 813 896 1092] label_predict: [ 111 147 189 259 734 813 835 1046 1092] label_predict: [ 13 58 147 182 189 554 558 744 813 896 903 1092] label_predict: [ 79 147 189 194 477 671 780 813 1046 1092 1099] label_predict: [ 51 147 156 189 420 738 813 835 1059 1092] label_predict: [ 147 189 671 780 1034] label_predict: [ 147 189 194 477 671 780 1059] label_predict: [ 147 189 671 780 813 1034 1046] label_predict: [ 79 147 189 671 744 780 813 903]
2844it [01:10, 44.03it/s]
label_predict: [ 13 147 189 655 671 744 813 903 1092] label_predict: [ 147 615 813 896 1092] label_predict: [ 147 156 188 189 332 418 541 542 543 581 753 764 796 813 949 1072 1092] label_predict: [ 13 147 194 744 813 896 903 1092] label_predict: [ 13 147 744 813 896 903 1092] label_predict: [ 51 79 147 156 194 227 489 584 671 780 813 954 1030 1046 1092] label_predict: [ 111 147 189 420 733 738 776 813 1046 1092] label_predict: [ 13 51 147 477 552 671 780] label_predict: [ 13 51 147 813 896 903 1092] label_predict: [ 147 189 671 780 1034]
2854it [01:11, 42.79it/s]
label_predict: [ 147 156 189 259 541 733 734 813 993 1084 1092] label_predict: [ 79 147 189 194 477 671 780 813 1034 1092] label_predict: [ 194 671 744 780 813 1046 1092 1099] label_predict: [ 13 51 147 189 813 1092] label_predict: [ 194 483 738 813 1046 1092] label_predict: [ 121 147 433 1039] label_predict: [ 13 480 483 776 813 830 1046 1092] label_predict: [ 13 51 111 147 813 1046 1092] label_predict: [ 147 156 189 813 1092]
2864it [01:11, 44.61it/s]
label_predict: [ 51 147 156 189 283 369 532 671 813 1022 1059] label_predict: [ 51 147 189 813 1092] label_predict: [ 156 189 369 587 726 766 1020 1059 1084] label_predict: [ 25 125 161 304 369 587 766 833 1020 1059] label_predict: [ 147 156 189 541 813 835 1092] label_predict: [ 79 194 489 584 1059 1062] label_predict: [ 121 184 369 436 1039 1059] label_predict: [ 79 194 369 489 624 671 780 1059] label_predict: [ 79 147 180 188 189 420 477 498 671 738 813 1059 1092] label_predict: [ 147 189 671 780 1034]
2875it [01:11, 45.98it/s]
label_predict: [ 13 51 147 189 718 744 813 896 903 1092] label_predict: [ 13 51 147 189 744 813 896 903 1092] label_predict: [ 51 147 156 189 212 477 584 671 780 813 1059 1062 1092] label_predict: [ 13 51 147 552 671 780] label_predict: [ 147 189 718 813 1092] label_predict: [147 189 450 558 744 813] label_predict: [ 51 147 156 189 813 1059 1092] label_predict: [121 433] label_predict: [ 51 111 147 189 813 1046 1092] label_predict: [ 18 25 161 331 487 534 584 611 642 734 738 758 800 813 953 1059 1062 1092]
2885it [01:11, 46.16it/s]
label_predict: [ 51 147 156 189 477 485 603 671 695 780] label_predict: [ 13 147 189 552 671 768 780] label_predict: [ 369 438 726 1039] label_predict: [ 79 121 482 487 498 813 961 1059 1092] label_predict: [ 13 147 189 194 671 780 1034] label_predict: [ 79 156 813 1059 1092] label_predict: [ 51 79 147 156 189 813 1059 1062 1092] label_predict: [ 147 189 671 780 1034]
2890it [01:11, 38.01it/s]
label_predict: [ 55 131 147 189 378 671 768 780 1034] label_predict: [ 188 189 420 498 718 813 1059 1092] label_predict: [ 51 147 156 189 227 671 780 813 961 1059 1092] label_predict: [ 147 189 671 780 813 1092] label_predict: [ 147 615 813 896 1092] label_predict: [121 147 433 724 962] label_predict: [ 121 184 369 819 1039 1059] label_predict: [ 51 121 147 498 813 1059 1092] label_predict: [ 79 147 156 189 420 671 738 813 835 1059]
2900it [01:12, 41.48it/s]
label_predict: [ 51 147 156 1059] label_predict: [ 51 147 189 335 813 835 1092] label_predict: [ 33 121 147 189 420 434 724 738 813 962 1092] label_predict: [ 147 189 477 671 780 813 1034 1092] label_predict: [121 962] label_predict: [1059] label_predict: [ 147 161 189 204 304 813 872 1092] label_predict: [ 13 51 147 480 483 494 501 737 738 776 813 830 923 975 1046] label_predict: [ 111 147 189 418 477 671 780 813 835 1034 1046 1092] label_predict: [ 615 813 896 1092]
2911it [01:12, 45.44it/s]
label_predict: [ 51 79 147 156 189 671 813 1059 1092] label_predict: [ 13 14 51 127 147 552 626 671 716 780] label_predict: [ 79 99 121 498 813 961] label_predict: [ 96 161 236 304 813 955 962] label_predict: [ 13 79 121 147 188 477 552 671 780 1046] label_predict: [121 147 552 671] label_predict: [ 79 147 189 194 477 671 780 1034] label_predict: [ 13 147 156 813 896 903 1092] label_predict: [ 51 147 156 189 671 780 813 1092] label_predict: [ 194 480 483 737 738 744 776 813 830 1046 1092 1099]
2921it [01:12, 45.01it/s]
label_predict: [ 13 147 189 552 671 813 1092] label_predict: [ 51 111 147 189 813 896 903 1092] label_predict: [ 480 483 494 501 676 725 737 738 776 813 830 866 923 924 931 1046] label_predict: [ 79 813 1059] label_predict: [ 99 121 161 304 369 493 495 1039 1059] label_predict: [ 79 194 477 671 780 813 1092 1099] label_predict: [147 156 189 485 603 671 780] label_predict: [ 194 369 489 813 1059] label_predict: [ 51 79 111 147 189 671 738 776 780 813 1046]
2931it [01:12, 44.98it/s]
label_predict: [ 147 369 586 1039 1059] label_predict: [ 79 147 156 612 671 780 813 1059 1092] label_predict: [ 13 51 147 369 744 813 896 903 1092] label_predict: [ 51 147 156 189 813 1092] label_predict: [ 147 156 189 671 780 1034] label_predict: [ 99 189 498 718 813 896 961 1092] label_predict: [ 127 147 1039] label_predict: [ 51 147 156 189 489 554 612 744 746 813 896 903 1092] label_predict: [ 33 121 313 420 432 724 738 962] label_predict: [ 147 156 189 541 813 1092]
2941it [01:13, 45.17it/s]
label_predict: [ 111 147 156 189 259 418 541 813 835 1046 1092] label_predict: [ 147 189 813 903 1092] label_predict: [ 147 156 189 541 813 1092] label_predict: [ 13 14 51 147 552 626 671 780 1056] label_predict: [ 79 147 189 482 498 813 961 1059 1092] label_predict: [ 194 480 483 737 738 744 813 1046 1092 1093] label_predict: [ 147 189 813 1092] label_predict: [ 13 51 147 156 189 612 671 744 813 896 903 1092] label_predict: [ 51 147 156 189 369 813 1059]
2946it [01:13, 44.71it/s]
label_predict: [147 156 189 485 603 671 780] label_predict: [ 147 156 189 259 541 616 813 993 1092] label_predict: [ 51 111 147 189 483 738 776 813 1046 1092] label_predict: [ 51 147 161 813 1059 1092] label_predict: [ 13 51 147 813 896 1046 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 147 156 189 369 436 720 813 1059 1092] label_predict: [121 188 754] label_predict: [ 79 184 194 420 489 1039 1059]
2957it [01:13, 44.87it/s]
label_predict: [ 147 189 597 671 680 738 813 835 1092] label_predict: [121 184 313 415 872 962] label_predict: [ 121 433 1039 1059] label_predict: [ 147 189 744 813 896 903 962 1092] label_predict: [ 79 99 121 754 1039 1059] label_predict: [ 147 189 418 800 813 835 1092] label_predict: [ 13 51 147 189 335 813 896 1092] label_predict: [ 131 147 189 378 671 768 780 1034] label_predict: [ 813 1046 1092] label_predict: [ 79 147 189 194 671 776 813 1034 1046 1092]
2967it [01:13, 44.95it/s]
label_predict: [ 51 99 147 189 498 718 813 896 961 1092] label_predict: [ 9 33 99 313 420 738 813 835 955 962] label_predict: [ 51 79 147 156 189 212 477 671 780 1059 1062] label_predict: [ 121 188 433 1059] label_predict: [ 147 189 813 835 1046 1092] label_predict: [ 13 79 147 189 813 1092] label_predict: [ 13 14 51 147 552 626 1056] label_predict: [ 79 121 182 754 1039 1059] label_predict: [ 79 161 194 282 477 487 489 1059 1062] label_predict: [ 483 737 738 776 813 830 1046 1092]
2982it [01:13, 46.54it/s]
label_predict: [ 79 147 189 194 477 671 780 813 1046 1059 1092] label_predict: [ 51 79 147 156 189 465 489 584 612 671 780 1059 1062] label_predict: [ 184 369 464 493 754 766 819 1039 1059] label_predict: [ 121 147 188 189 597 724 813 1092] label_predict: [ 51 111 147 189 776 813 1046 1092] label_predict: [ 79 147 156 194 489 671 1059] label_predict: [ 33 121 420 432 724 738 813 962] label_predict: [ 79 194 487 624 671 1059 1062] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 51 147 189 485 671 744 780 813 835 1092] label_predict: [ 51 147 156 227 322 369 477 612 671 780 813 1062]
2992it [01:14, 46.46it/s]
label_predict: [ 51 147 189 813 1092] label_predict: [ 79 147 188 189 597 639 671 780 813 1059 1092] label_predict: [ 79 147 369 813] label_predict: [ 13 51 111 147 480 483 737 738 776 830 923 1046] label_predict: [ 99 161 304 774 1059] label_predict: [ 147 189 552 671 768 780 1034] label_predict: [ 79 147 189 194 813 1046 1092] label_predict: [ 79 147 194 498 813 896 961 1092] label_predict: [ 67 156 171 189 223 245 300 337 355 368 369 587 726 766 994 1020 1059 1084] label_predict: [ 58 188 189 489 558 612]
3002it [01:14, 47.40it/s]
label_predict: [ 147 189 813 1092] label_predict: [ 79 147 156 194 477 671 780 1046 1059] label_predict: [ 51 79 147 156 189 482 498 813 961 1092] label_predict: [ 147 189 813 835 1092] label_predict: [ 483 494 501 737 738 776 813 830 923 931 1046] label_predict: [ 147 189 813 1046 1092] label_predict: [ 121 1059] label_predict: [ 147 189 194 671 813 1059 1092] label_predict: [ 51 147 156 189 485 603 671 780 999] label_predict: [ 13 121 147 189 552 671 768 780]
3007it [01:14, 45.46it/s]
label_predict: [ 13 51 147 189 813 896 903 1092] label_predict: [ 147 156 227 322 612 671 780 813 896 954 1092] label_predict: [ 156 189 300 369 587 726 766 994 1020 1084] label_predict: [ 79 147 189 671 780] label_predict: [ 79 147 189 194 477 671 780 1034 1035] label_predict: [ 51 147 188 369 615 671 744 780 813 1059] label_predict: [ 147 156 189 259 418 541 796 813 835 949 1072 1092] label_predict: [ 79 99 121 369 813 1059] label_predict: [ 79 147 189 671 780 1034]
3017it [01:14, 45.71it/s]
label_predict: [ 147 156 189 541 542 813 1092] label_predict: [ 13 14 51 147 552 626 671 716 780 1056] label_predict: [121] label_predict: [ 51 147 156 612 671 780 813 1046 1059 1092] label_predict: [ 33 121 184 313 433 962 1059] label_predict: [ 13 51 147 189 430 434 480 483 501 545 559 737 738 931] label_predict: [ 51 147 156 189 813 1046 1092] label_predict: [ 51 147 189 813 993 1046 1092] label_predict: [ 51 147 156 189 541 542 744 813 1092] label_predict: [ 51 147 189 813 896 1092]
3027it [01:14, 44.58it/s]
label_predict: [ 194 369 671 1034] label_predict: [ 188 671 1059 1062] label_predict: [ 51 79 147 813 1046 1092] label_predict: [ 51 304 584 1059] label_predict: [ 147 332 542 813 1092] label_predict: [ 51 147 156 189 498 813 961 1092] label_predict: [ 51 147 156 189 283 322 477 554 671 780 813 1059 1062 1092] label_predict: [121 433] label_predict: [ 51 111 147 189 738 813 1046 1092]
3037it [01:15, 43.34it/s]
label_predict: [ 121 433 724 813 1092] label_predict: [ 45 111 147 189 480 483 501 737 738 776 813 931 1046 1092] label_predict: [ 188 369 1039 1059] label_predict: [ 51 147 156 189 420 477 612 671 744 813 1046 1059 1092] label_predict: [ 147 188 189 518 552 639 671 780 1034 1035] label_predict: [ 147 156 189 541 554 744 813 896 1092] label_predict: [ 147 156 189 259 418 541 542 813 949 1072 1092] label_predict: [ 147 483 776 813 830 1046] label_predict: [ 51 147 283 369 532 671 1022 1059]
3047it [01:15, 41.25it/s]
label_predict: [ 121 483 501 737 738 776 813 830 931 1046] label_predict: [ 111 147 156 189 259 541 813 993 1046 1092] label_predict: [ 13 51 147 188 194 671 813 1059 1092] label_predict: [ 79 147 189 194 369 477 671 780 1034] label_predict: [ 156 189 369 554 587 726 766 994 1020 1084] label_predict: [ 13 51 147 434 480 483 501 519 615 813] label_predict: [ 79 121 147 189 194 671 813 1034 1059] label_predict: [ 147 189 194 369 436 671 780 1034]
3057it [01:15, 43.51it/s]
label_predict: [ 51 147 156 189 498 813 961 1059 1092] label_predict: [ 51 147 554 744 813 896 903 1092] label_predict: [ 13 51 111 147 813 896 903 1092] label_predict: [ 615 813 896 1092] label_predict: [ 99 161 304 351 718 813 961 1092] label_predict: [ 79 147 156 189 487 498 671 813 961 1059 1062 1092] label_predict: [ 79 121 182 194 754 1039 1059] label_predict: [ 111 147 189 420 483 738 776 813 1046 1092] label_predict: [ 51 111 147 189 738 776 813 1046 1092] label_predict: [ 51 147 156 189 283 532 671 1059]
3062it [01:15, 44.39it/s]
label_predict: [147 189 304 450 558 744 813 903] label_predict: [ 79 147 189 194 420 671 813 1059 1092] label_predict: [ 13 51 147 744 813 896 903 952 1092] label_predict: [ 99 161 304 718 813 896 961 1092] label_predict: [147 156 189 485 603 671 780] label_predict: [ 147 156 189 259 541 663 813 835 1092] label_predict: [ 483 501 737 738 813 1046] label_predict: [ 13 14 51 147 552 626 671 780 1056] label_predict: [ 121 369 487 1039 1059]
3072it [01:15, 42.52it/s]
label_predict: [ 13 147 189 813 896 903 1092] label_predict: [ 13 51 147 189 744 813 1092] label_predict: [ 147 156 189 259 430 434 541 559 813 949 1092] label_predict: [ 188 369 507 1039 1085] label_predict: [ 111 147 189 420 480 483 501 733 737 738 776 813 1046] label_predict: [ 147 189 420 738 813 1092] label_predict: [ 121 415 464 634 754 872 1039] label_predict: [ 114 161 217 236 304 813 1059 1061] label_predict: [ 13 147 189 671 780 1034]
3083it [01:16, 42.86it/s]
label_predict: [ 79 99 369 489 1059] label_predict: [ 99 161 304] label_predict: [ 147 156 189 259 418 541 542 813 835 949 1072 1092] label_predict: [ 147 189 718 744 813 896 903 1092] label_predict: [ 194 239 487 600 809 813 844 1059] label_predict: [ 147 156 189 259 418 541 542 813 835 949 993 1072 1092] label_predict: [ 147 156 189 477 671 780 813 835 1092] label_predict: [ 13 51 147 369 552 626 671 780 813 1092] label_predict: [ 51 147 156 189 655 671 813 1046 1092]
3093it [01:16, 45.28it/s]
label_predict: [ 79 121] label_predict: [ 51 212 304 584 671 1059 1062] label_predict: [ 51 147 156 212 369 584 586 671 746 1059] label_predict: [ 51 147 813 1046 1092] label_predict: [ 147 156 189 813 1092] label_predict: [ 79 121 1059] label_predict: [121 189 420 813] label_predict: [ 99 121 161 304 464 495 884 1039] label_predict: [ 147 189 671 813 1059 1092] label_predict: [147 189 369]
3103it [01:16, 44.89it/s]
label_predict: [ 121 369 813 1034 1099] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 51 147 156 189 369 671 780 813 1059 1092] label_predict: [ 79 121 194 813 844 1059] label_predict: [ 147 156 189 813 835 1092] label_predict: [ 13 51 147 552 813 1092] label_predict: [ 147 156 189 477 485 603 607 671 695 780 1069] label_predict: [ 51 147 156 189 671 813 961 1092] label_predict: [ 51 147 188 189 554 558 612 671 744 780 813 903] label_predict: [ 13 51 147 189 434 1022]
3113it [01:16, 45.85it/s]
label_predict: [ 13 79 147 189 552 671 780 1034] label_predict: [ 194 404 655 738 744 813 1046 1092 1099] label_predict: [ 51 147 189 554 744 813 896 903 1092] label_predict: [ 13 51 147 189 744 813 896 1092] label_predict: [147 189 369 436 552 671 780] label_predict: [ 121 147 189 597 671 768 1034] label_predict: [ 51 147 156 612 671 780 813 896 903 1092] label_predict: [ 51 147 189 194 655 671 813 872 1092] label_predict: [ 188 507 813 903 1039] label_predict: [ 51 147 189 813 835 1092]
3123it [01:17, 44.92it/s]
label_predict: [ 79 194 477 671 738 780 1034 1046] label_predict: [ 13 51 147 189 813 1046 1092] label_predict: [ 121 304 1039 1059] label_predict: [ 79 194 487 671 813 1059 1062] label_predict: [ 79 194 489 584 1059 1062] label_predict: [ 147 189 369 720 744 813 896 903 1092] label_predict: [ 13 147 369 813 872 896 903 1092] label_predict: [ 194 404 744 813 1020 1046 1092] label_predict: [ 13 405 896 903 1092] label_predict: [ 79 147 189 639 671 780 1034 1035]
3133it [01:17, 46.42it/s]
label_predict: [ 79 161 194 813 1059 1092] label_predict: [ 13 51 147 189 813 1092] label_predict: [ 79 194 487 813 1059 1062] label_predict: [ 121 147 188 552 671 780 950 1034] label_predict: [147 156 189 477 485 603 671 695 780 835] label_predict: [ 147 156 189 369 1059] label_predict: [121 147 189 744 813 903] label_predict: [ 25 161 189 331 420 477 534 584 611 734 751 797 813 953 974 1059 1062 1092] label_predict: [ 13 147 189 813 896 903 1092] label_predict: [ 99 718 813 961 1092]
3143it [01:17, 45.24it/s]
label_predict: [ 189 482 498 813 961 1059 1092] label_predict: [ 79 194 487 671 1059 1062] label_predict: [ 121 498 718 813 896 961 1092] label_predict: [ 121 304 487 1059] label_predict: [ 79 121 304 487 1059] label_predict: [ 13 14 51 147 552 671 780] label_predict: [ 51 147 188 189 597 671 744 780 813 1059 1092] label_predict: [ 51 147 156 189 369 586 1039 1059] label_predict: [ 188 313 464 507 903 1039 1059 1085]
3153it [01:17, 45.38it/s]
label_predict: [ 147 194 813 1046 1092] label_predict: [ 147 189 813 896 903 1092] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 79 813 1059] label_predict: [ 51 79 147 188 189 477 597 671 780 813 1092] label_predict: [ 51 147 189 744 813 835 1092] label_predict: [ 111 147 189 480 483 501 737 738 776 813 923 1046 1092] label_predict: [ 51 147 156 189 283 515 813 1059 1092] label_predict: [ 51 147 189 612 720 744 813 903 1059] label_predict: [ 121 188 282 1059]
3163it [01:17, 45.57it/s]
label_predict: [ 147 156 418 541 542 813 949 1072 1092] label_predict: [ 79 121 147 189 1059] label_predict: [ 121 813 1059 1092 1099] label_predict: [ 25 99 161 304 331 489 718 774 813 1059] label_predict: [ 13 477 501 554 670 693 729 746 813 975] label_predict: [ 147 156 189 259 800 813 835 1046 1092] label_predict: [ 13 51 147 483 501 738 813 1046 1092] label_predict: [ 51 147 189 718 744 813 896 903 1092] label_predict: [ 13 147 420 616 733 734 776 813 1046 1092] label_predict: [ 79 147 188 194 477 498 671 780 813 1034 1046 1059 1092]
3168it [01:18, 39.50it/s]
label_predict: [ 51 147 189 671 780 813 1092] label_predict: [ 147 189 373 597 671 768 780 1034 1035] label_predict: [ 51 147 156 189 744 813 896 1092] label_predict: [ 51 147 189 744 813 896 903 1092] label_predict: [ 121 147 813 1092] label_predict: [ 13 405 896 903 1092] label_predict: [ 51 147 189 813 835 1092]
3178it [01:18, 42.51it/s]
label_predict: [ 121 147 369 555 833 1039] label_predict: [ 99 121 304 498 718 813 961 1092] label_predict: [ 116 121 304 415 464 487 724 735 955 962 1026] label_predict: [ 51 147 156 189 420 477 489 612 671 780 813 835 1059 1092] label_predict: [ 51 99 304 774] label_predict: [ 79 147 189 194 420 477 671 780 813 1046 1059 1092] label_predict: [ 51 147 189 738 813 835 1046 1092] label_predict: [ 156 738 813 961 1059 1092] label_predict: [ 13 14 147 552 671 780] label_predict: [ 51 147 430 434 501 813 1092]
3183it [01:18, 42.77it/s]
label_predict: [ 147 189 552 671 780 1034] label_predict: [ 79 194 487 671 758 1059 1062] label_predict: [ 189 194 671 780 1034] label_predict: [ 51 79 147 156 189 420 477 671 738 780 813 1046 1059 1092] label_predict: [121 184 313 464 754 962] label_predict: [ 111 147 156 189 477 597 671 680 768 780 813 835 1092] label_predict: [ 79 147 194 671 780 813 1059]
3193it [01:18, 40.94it/s]
label_predict: [ 13 51 147 552 612 671 780] label_predict: [ 121 147 189 369 1039 1059] label_predict: [ 79 184 194 369 489 1039 1059] label_predict: [ 51 147 189 552 671 768 780] label_predict: [ 13 51 121 147 189 434 813 1092] label_predict: [ 51 147 189 744 813 896 1092] label_predict: [ 121 194 420 1059] label_predict: [ 13 51 147 813 896 1092] label_predict: [ 79 147 188 189 552 639 671 780 1034] label_predict: [ 184 369 586 587 766 833 884 1020 1039 1059]
3203it [01:18, 43.76it/s]
label_predict: [ 51 147 156 189 369 586 1020 1039 1059] label_predict: [ 13 79 147 813 1092] label_predict: [ 147 189 671 780 1034] label_predict: [107 147 165 188 189 477 489 554 612 671 744 780] label_predict: [ 51 147 156 369 477 671 780 813 1059 1092] label_predict: [ 25 161 420 584 734 813 953 1059 1092] label_predict: [ 51 111 147 189 813 1046 1092] label_predict: [ 51 147 189 283 434 671 744 813 1059] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 51 147 156 189 813 1059 1092]
3213it [01:19, 44.53it/s]
label_predict: [ 13 147 477 552 671 780 1034] label_predict: [ 51 147 156 189 813 835 1092] label_predict: [ 79 369 438 587 766 1020 1039 1084] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 79 147 156 189 671 744 813 835 903 1059 1092] label_predict: [ 51 147 189 813 896 1092] label_predict: [147 156 189 477 485 603 607 671 695 780] label_predict: [ 99 121 487 718 813 1059] label_predict: [ 51 147 189 744 813 903 1092] label_predict: [ 79 182 420 754 813 872 961 1092]
3223it [01:19, 45.64it/s]
label_predict: [ 13 147 552 655 671 716 780 813 896 1092] label_predict: [ 147 156 189 259 418 424 541 542 579 753 813 835 949 993 1072 1092] label_predict: [ 51 121 147 813 1059 1092] label_predict: [ 13 147 189 655 744 813 896 903 1092] label_predict: [ 79 282 487 489 1059 1062] label_predict: [ 51 147 813 1046 1092] label_predict: [ 147 156 189 259 418 541 796 813 835 1092] label_predict: [ 13 41 121 127 147 433 552 655 671 768 780] label_predict: [ 13 51 147 519 616 733 734 744 813 952 1092]
3233it [01:19, 42.40it/s]
label_predict: [ 147 189 671 768 780 1034 1035] label_predict: [ 79 194 1059] label_predict: [ 51 147 156 584 813 1059] label_predict: [ 13 405 896 903 1092] label_predict: [ 99 121 433 434 597 724 813 1059 1099] label_predict: [ 13 51 147 189 552 671 780 813 1092] label_predict: [ 111 147 156 189 259 738 776 813 1046 1092] label_predict: [ 13 51 111 147 483 738 776 813 1046 1092] label_predict: [ 13 51 147 519 813 1092]
3243it [01:19, 44.12it/s]
label_predict: [ 79 194 369 813 1059] label_predict: [ 13 51 147 189 194 813 896 1092] label_predict: [ 13 51 147 744 813 896 903 1092] label_predict: [ 79 147 189 477 639 671 780 1034 1035] label_predict: [ 147 501 738 813 1046 1092] label_predict: [ 51 147 156 189 369 671 1059] label_predict: [ 147 188 189 477 597 671 780 813 835 1034] label_predict: [ 147 156 189 369 744 813 903 1059 1092] label_predict: [ 51 147 189 483 738 776 813 1046] label_predict: [ 121 161 194 369 415 487 809 813 961 1059]
3253it [01:20, 44.99it/s]
label_predict: [ 51 147 189 744 813 896 1092] label_predict: [ 79 188 489 584 1059] label_predict: [ 79 194 487 489 584 1059 1062] label_predict: [ 79 121 194 239 487 684 1059 1062] label_predict: [ 121 161 304 487 813 961 1059] label_predict: [ 51 147 156 189 498 813 961 1059 1092] label_predict: [ 147 189 369 671 780 1034] label_predict: [ 188 1059] label_predict: [ 13 51 147 813 1046 1059] label_predict: [ 13 51 147 156 189 813 1059 1092]
3263it [01:20, 44.63it/s]
label_predict: [ 51 147 813 1092] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 51 147 189 430 559 813 1092] label_predict: [ 147 156 189 259 418 541 542 579 813 835 949 1072 1092] label_predict: [ 121 147 189 369 813 1092] label_predict: [ 13 51 111 147 420 483 501 573 616 733 734 737 738 776 813 1046 1092] label_predict: [ 188 189 369 671 780 1034] label_predict: [ 147 369 436 720 744 813 903 1019] label_predict: [ 13 14 147 552 671 780]
3273it [01:20, 44.32it/s]
label_predict: [ 51 147 189 744 813 896 903 1092] label_predict: [ 111 147 189 480 483 494 501 573 725 737 738 776 813 830 923 931 1046] label_predict: [ 79 121 147 962 1059] label_predict: [ 33 99 313 420 738 835 962] label_predict: [ 147 156 189 813 896 1092] label_predict: [ 13 698 813 872 896 903 1092] label_predict: [ 79 194 369 754 1039 1059] label_predict: [ 147 189 552 671 768 780 1034] label_predict: [ 51 111 147 189 738 813 1046 1092]
3278it [01:20, 44.34it/s]
label_predict: [ 51 111 147 189 813 1046 1092] label_predict: [ 51 147 156 189 369 1059] label_predict: [ 79 194 489 584 671 1059] label_predict: [ 420 1059] label_predict: [ 51 147 189 718 744 813 896 903 1092] label_predict: [ 51 111 147 189 554 671 744 780 813 835 903 1092] label_predict: [ 147 189 552 597 671 768 780 1034 1035] label_predict: [ 121 369 1039 1059]
3288it [01:20, 41.10it/s]
label_predict: [ 79 147 189 194 477 671 780 1034 1046] label_predict: [ 13 51 111 147 189 483 573 737 738 776 813 1046 1092] label_predict: [ 13 51 147 189 813 1092] label_predict: [ 99 121 188 718 813 1039 1059] label_predict: [ 79 121 147 194 671 780 813 1034] label_predict: [ 79 147 161 189 194 304 1059] label_predict: [ 79 147 194 477 498 671 738 776 780 813 830 1046 1059 1092] label_predict: [ 79 147 189 369 436 1059] label_predict: [ 51 79 147 156 189 194 477 489 584 671 780 813 1046 1059 1092]
3298it [01:21, 43.81it/s]
label_predict: [ 13 147 813 896 903 1092] label_predict: [ 147 189 259 418 541 813 835 1046 1092] label_predict: [ 51 79 147 156 369 477 612 671 780 1046] label_predict: [ 13 147 189 813 896 903 1092] label_predict: [ 483 501 738 813 1046 1092] label_predict: [ 51 147 194 404 744 813 952 1020 1092] label_predict: [ 147 188 189 477 671 780 1034] label_predict: [ 51 147 156 189 744 813 835 1092] label_predict: [ 79 313 962 1059] label_predict: [ 79 121 147 189 194 369 671 780 813 1034]
3308it [01:21, 40.34it/s]
label_predict: [ 99 121 433 1039] label_predict: [ 13 14 41 51 147 552 626 671 780 1066] label_predict: [ 99 121 718 813 896 1092] label_predict: [ 79 194 1059 1062] label_predict: [ 131 147 189 552 671 768 780 1034] label_predict: [ 147 156 189 369 813 1059] label_predict: [ 79 121 304 754 1059] label_predict: [ 79 194 487 1059]
3318it [01:21, 41.45it/s]
label_predict: [121 433 597] label_predict: [ 79 147 369 1059] label_predict: [ 13 41 147 189 552 626 671 768 780] label_predict: [ 13 51 147 189 552 671 780] label_predict: [ 51 121 147 671 813 1059] label_predict: [ 13 147 189 554 744 813 896 903 1092] label_predict: [ 79 147 189 369 671 780 925 1034] label_predict: [ 79 194 369 489 584 671 1059] label_predict: [ 51 147 156 189 420 744 813 835 903 1059 1092] label_predict: [ 13 51 147 552]
3323it [01:21, 42.54it/s]
label_predict: [ 51 147 189 259 744 813 1092] label_predict: [ 13 519] label_predict: [ 13 14 51 147 552 716] label_predict: [121 415 464 634 840 872] label_predict: [ 79 147 188 189 477 597 671 780 1034] label_predict: [ 121 147 189 369 433 552 768 1039] label_predict: [ 111 147 156 189 259 418 541 813 1046 1092] label_predict: [ 75 147 189 554 558 612 655 744 811 813 896 903 1092] label_predict: [ 13 477 554 670 813 1092]
3333it [01:21, 42.90it/s]
label_predict: [ 99 121 161 194 217 304 487 718 774 1059 1061] label_predict: [ 13 477 813 896 1092] label_predict: [147 188 189 369 552 558 597 671 780] label_predict: [ 13 51 147 189 813 1092] label_predict: [ 13 51 111 147 189 480 483 737 738 776 813 1046] label_predict: [121 432 433 724 962] label_predict: [121 420 738 962] label_predict: [ 51 147 189 813 1092] label_predict: [ 147 188 428 518 671 744 803 813 1099]
3343it [01:22, 42.89it/s]
label_predict: [ 13 51 147 189 813 896 903 1092] label_predict: [ 25 161 584 758 813 1059 1062 1092] label_predict: [ 79 194 304 634 754] label_predict: [ 79 194 487 1059 1062] label_predict: [ 51 813 1059] label_predict: [ 79 121 147 1059] label_predict: [ 147 189 378 552 671 768 780 1034] label_predict: [ 147 189 434 501 738 813 1092] label_predict: [ 51 147 156 369 532 587 766 1022 1059]
3353it [01:22, 44.21it/s]
label_predict: [121 147 304 558 813 872 903] label_predict: [ 147 189 430 434 501 545 559 619 649 737 738 825 871 931 1032 1040] label_predict: [ 79 156 194 487 671 780 813 1059 1062] label_predict: [ 13 405 813 896 903 1092] label_predict: [ 79 189 194 487 498 1059 1062] label_predict: [ 51 147 671 780 813 1059] label_predict: [ 483 501 737 738 813 931 1046] label_predict: [ 147 194 813 896 1092] label_predict: [ 13 477 501 554 670 693 746 813 975]
3363it [01:22, 44.25it/s]
label_predict: [ 79 489 612 1059] label_predict: [ 51 79 147 156 189 212 465 584 628 671 780 813 1059 1062 1092] label_predict: [ 51 147 189 541 813 1092] label_predict: [ 79 147 156 189 671 813 1059 1092] label_predict: [ 51 147 813 1059] label_predict: [ 51 147 156 189 259 418 541 542 813 1092] label_predict: [ 99 718 813 896 961 1092] label_predict: [ 147 189 671 780 1034] label_predict: [ 147 189 413 430 434 501 559 738 813 835 871 1092] label_predict: [ 121 1039]
3373it [01:22, 44.75it/s]
label_predict: [ 111 147 189 776 813 1046 1092] label_predict: [ 51 79 147 156 227 477 487 671 780 813 1046 1059 1062 1092] label_predict: [ 51 147 189 671 720 744 780 813 903 1092] label_predict: [ 51 147 156 189 477 612 671 780 1092] label_predict: [ 147 156 189 418 541 542 813 835 1092] label_predict: [121 415 684] label_predict: [ 51 147 189 744 813 1092] label_predict: [ 147 813 896 1092] label_predict: [ 121 304 369 464 1039] label_predict: [ 13 51 147 189 813 896 903 1092]
3378it [01:22, 44.58it/s]
label_predict: [ 13 147 189 744 813 896 903 1092] label_predict: [ 99 121 482 497 498 813 961 1092] label_predict: [ 147 189 813 896 903 1092] label_predict: [ 13 14 147 552 626 671 780] label_predict: [ 147 189 259 418 541 663 800 813 835 949 1092] label_predict: [ 51 147 189 671 744 780 813 903 1092] label_predict: [ 13 51 147 744 813 896 903 1092] label_predict: [ 131 147 189 597 671 768 780 1034 1035]
3388it [01:23, 42.74it/s]
label_predict: [ 55 131 147 189 552 671 768 780 1034] label_predict: [ 147 156 189 671 813 835 1092] label_predict: [ 121 313 415 438 464 962 1039] label_predict: [ 96 99 121 161 236 304 718 813 962] label_predict: [147 156 189 744 780 813 835] label_predict: [ 121 161 304 464 634 872 1039 1059] label_predict: [ 147 156 189 259 541 663 733 800 813 835 993 1092] label_predict: [ 121 724 962 1059] label_predict: [ 13 14 51 552 716]
3398it [01:23, 42.79it/s]
label_predict: [ 51 147 156 189 813 1092] label_predict: [ 79 147 194 671 780 813 1046 1059 1062] label_predict: [ 13 51 111 147 189 480 483 501 737 738 776 1046] label_predict: [ 13 147 189 813 896 903 1092] label_predict: [ 79 194 369 489 1059] label_predict: [ 79 194 489 671 780 1059 1062] label_predict: [ 13 480 483 776 830 896 1046] label_predict: [ 501 519 737 738 813 993 1046] label_predict: [ 13 51 147 189 369 671 780 1059]
3408it [01:23, 42.90it/s]
label_predict: [ 51 79 147 189 369 1059] label_predict: [ 79 99 121 161 304 487 758 1059] label_predict: [ 13 51 147 552 671 780] label_predict: [ 51 147 156 189 369 671 780 813 1046 1059 1092] label_predict: [ 51 147 189 369 552 655 671 780 813 1059] label_predict: [121 304 464 634 872] label_predict: [ 121 147 552 671 780 813 1092] label_predict: [ 79 147 189 552 671 780 925 1034] label_predict: [ 79 147 188 189 420 477 639 671 780 813 835 1046 1092]
3418it [01:23, 43.52it/s]
label_predict: [ 13 404 405 813 896 903 1092] label_predict: [ 51 147 738 813 1046 1092] label_predict: [ 147 156 189 259 418 541 663 800 813 835 1092] label_predict: [ 13 51 147 189 813 1092] label_predict: [ 147 156 189 259 418 541 542 579 813 949 1020 1072 1092] label_predict: [ 147 189 671 780 1034] label_predict: [ 121 147 189 671 1059] label_predict: [ 99 147 718 813 896 903 1092] label_predict: [ 51 111 147 189 259 733 738 776 813 1046 1092]
3428it [01:24, 44.98it/s]
label_predict: [ 147 189 477 671 780 1034] label_predict: [ 13 51 147 189 738 813 1092] label_predict: [ 51 79 147 156 227 369 477 489 612 671 780 813 954 1046 1092] label_predict: [ 79 147 156 194 487 671 780 813 1059 1062 1092] label_predict: [ 147 156 189 259 418 541 542 813 835 949 993 1072 1092] label_predict: [ 51 121 147 188 428 744 813 1092 1099] label_predict: [ 99 161 304 487 758 813 1059] label_predict: [ 79 147 189 477 671 780 813 1046 1092] label_predict: [ 147 189 671 780 1034] label_predict: [ 51 147 194 477 671 738 813 1046 1092]
3433it [01:24, 41.81it/s]
label_predict: [ 121 147 194 744 813 1092] label_predict: [ 121 156 189 245 300 337 355 369 587 726 766 994 1020 1059 1084] label_predict: [ 147 156 189 259 541 813 835 1092] label_predict: [ 131 147 189 378 671 768 780 1034] label_predict: [ 147 189 800 813 835 1092] label_predict: [ 99 161 304 718 813 961 1092] label_predict: [ 13 51 147 189 369 552 671 780] label_predict: [ 51 147 156 189 538 616 813 952 1046 1092] label_predict: [ 121 304 415 464 1039]
3443it [01:24, 43.70it/s]
label_predict: [121 147 189 369 436 720 744 813 903] label_predict: [ 121 433 962 1039] label_predict: [ 111 147 189 813 1092] label_predict: [ 147 189 813 896 1092] label_predict: [ 147 156 189 259 418 541 542 813 835 949 1072 1092] label_predict: [ 51 147 189 813 896 1092] label_predict: [ 13 127 147 369 552 671 675 780 978 1059] label_predict: [ 79 194 489 671 780 1059]
3453it [01:24, 40.51it/s]
label_predict: [ 147 189 597 671 768 780 1034 1035] label_predict: [ 29 147 188 518 671 813 949 1092] label_predict: [ 79 369 438 726 1039] label_predict: [ 13 51 147 156 189 485 671 744 780 813] label_predict: [ 147 813 896 1046 1092] label_predict: [ 51 147 194 477 671 744 813 1046 1092] label_predict: [ 13 445 477 813 896 1092] label_predict: [ 182 369 464 754 1039] label_predict: [ 147 189 744 813 903 1092]
3463it [01:24, 42.25it/s]
label_predict: [ 121 369 754 1039 1059] label_predict: [ 51 111 147 189 813 1092] label_predict: [ 121 189 369 552 671 1034] label_predict: [ 13 51 111 147 480 483 501 573 737 738 776 813 830 923 1046 1092] label_predict: [ 147 156 189 259 418 541 542 579 813 835 949 1092] label_predict: [ 13 420 477 733 734 813 1092] label_predict: [ 79 194 1059] label_predict: [ 13 51 147 813 1092] label_predict: [ 147 156 189 744 813 835 1092]
3473it [01:25, 44.23it/s]
label_predict: [ 13 14 51 147 552 626 671 780 1056] label_predict: [121 304 754] label_predict: [ 147 813 896 1092] label_predict: [ 79 121 194 813 844] label_predict: [ 51 79 147 188 189 428 671 738 744 780 803 813 1046 1092 1099] label_predict: [ 13 14 41 131 147 552 626 671 768 780 1066] label_predict: [ 79 147 156 189 487 498 671 813 961 1059 1092] label_predict: [ 147 189 194 671 780 1034] label_predict: [ 13 51 147 189 430 434 501 559 615] label_predict: [ 147 156 189 259 418 541 813 949 1092]
3479it [01:25, 45.89it/s]
label_predict: [ 51 147 189 430 434 501 559 813 1092] label_predict: [ 51 489 1059] label_predict: [ 51 147 189 212 369 612 671 780 813 1059] label_predict: [ 13 51 147 189 813 896 903 1092] label_predict: [ 13 79 147 420 477 671 733 780 813 1046 1092] label_predict: [ 147 813 896 1092] label_predict: [ 121 369 1039 1059] label_predict: [ 79 121 147 498 718 813 833 961 1092] label_predict: [ 13 813 896 1092]
3489it [01:25, 43.79it/s]
label_predict: [79] label_predict: [ 13 405 445 457 813 896 903 1092] label_predict: [ 121 147 813 896 903 1092] label_predict: [ 79 121 184 194 420 962 1059] label_predict: [ 79 147 188 189 518 552 671 780 1034] label_predict: [ 147 156 189 335 813 1092] label_predict: [ 51 111 147 189 813 1046 1092] label_predict: [ 99 161 304 718 774 813] label_predict: [ 51 79 147 188 428 671 744 803 813 1046 1092 1099]
3499it [01:25, 42.86it/s]
label_predict: [ 51 147 189 671 780 813 1059] label_predict: [ 51 147 156 189 813 896 961 1092] label_predict: [ 147 156 189 477 485 603 607 671 695 780 835 1069] label_predict: [ 13 14 51 147 552 626 671 780] label_predict: [ 79 147 156 189 436 813 1059 1092] label_predict: [ 79 147 188 489 612 671 780 1059] label_predict: [ 147 156 189 259 418 541 542 579 813 835 949 1072 1092] label_predict: [ 79 194 489 1059] label_predict: [ 121 147 161 189 813 1059]
3510it [01:26, 46.08it/s]
label_predict: [ 51 147 156 369 477 612 671 780 929 954] label_predict: [121 313 962] label_predict: [ 99 121 189 482 497 498 718 813 961 1092] label_predict: [ 79 194 487 1059 1062] label_predict: [ 58 121 558 724 813 1092] label_predict: [ 51 147 189 498 813 961 1092] label_predict: [ 79 194 239 487 813 1059 1062 1092] label_predict: [ 51 147 189 369 436 671 720 780 1059] label_predict: [ 13 147 189 744 813 896 903 1092] label_predict: [ 147 156 189 541 813 1092]
3520it [01:26, 39.91it/s]
label_predict: [ 131 147 189 671 768 780 1034] label_predict: [ 13 615 813 896 1092] label_predict: [ 13 14 51 147 552 626 671 1056] label_predict: [ 13 147 189 796 813 896 949 1092] label_predict: [ 51 111 147 189 480 483 501 737 738 776 1046] label_predict: [ 51 147 189 813 835 1092] label_predict: [ 147 156 189 259 418 541 542 813 949 993 1072 1092] label_predict: [ 121 194 282 369 489 1039 1059] label_predict: [ 51 147 189 776 813 1046 1092] label_predict: [147 189 369 436 552 671 720 780 925]
3526it [01:26, 42.75it/s]
label_predict: [ 147 189 813 896 1046 1092] label_predict: [ 13 51 147 189 813 896 903 1092] label_predict: [121 161 304 450 558 724 955 962] label_predict: [ 79 194 487 624 1059 1062] label_predict: [ 147 189 813 896 903 1092] label_predict: [ 188 369 507 718 813 903 1092] label_predict: [ 79 147 156 194 487 671 780 1059 1062] label_predict: [ 111 147 189 813 1046 1092] label_predict: [ 147 156 189 813 1059 1092] label_predict: [ 13 121 313 813 962 1039 1092]
3536it [01:26, 45.05it/s]
label_predict: [ 13 51 147 813 896 1046 1092] label_predict: [ 79 147 189 194 671 780 1034 1059] label_predict: [ 121 304 415 464 684 724 735 748 809 872 955 962 1026] label_predict: [ 121 194 239 369 813 844 1059] label_predict: [ 79 121 147 189 498 813 961 1059] label_predict: [ 51 147 156 189 227 477 671 780 813 961 1092] label_predict: [ 147 156 189 813 835 1092] label_predict: [ 79 147 188 189 671 780 813 1034] label_predict: [ 51 147 189 1059] label_predict: [ 79 147 156 194 477 489 584 612 671 780 1046 1059]
3546it [01:26, 45.22it/s]
label_predict: [ 147 552 1039 1059] label_predict: [ 147 189 304 718 720 744 813 903 1092] label_predict: [ 79 121 147 189 813 1059 1092] label_predict: [ 13 477 554 670 671 746 813 975] label_predict: [ 111 189 434 480 483 501 737 738 813 931 1046] label_predict: [ 147 156 189 259 813 835 1092] label_predict: [ 79 313 420 738 962 1059] label_predict: [ 13 51 147 189 813 1092] label_predict: [ 51 147 194 404 744 813 1020 1092 1099]
3557it [01:27, 45.95it/s]
label_predict: [ 79 121 498 724 813 961 1059] label_predict: [ 51 147 189 552 671 780 1059] label_predict: [ 51 79 147 188 369 552 612 671 780 1059] label_predict: [ 147 189 335 671 744 780 813 950 1034 1035 1092] label_predict: [ 79 147 189 671 813 903 1092] label_predict: [ 79 147 156 189 194 477 671 780 813 1046 1059 1092] label_predict: [ 25 161 331 813 974 1059 1092] label_predict: [ 16 17 19 29 37 39 45 48 52 54 62 78 79 80 89 101 111 115 116 117 120 121 127 133 152 155 158 161 166 167 177 179 189 191 206 226 229 232 239 241 245 256 264 269 272 275 279 281 282 283 284 286 289 294 306 307 313 315 317 332 337 343 350 356 359 365 367 368 374 383 398 403 415 422 424 431 433 443 451 458 464 466 469 470 473 475 485 487 501 506 512 516 522 536 537 543 544 549 555 559 563 566 568 571 581 589 592 596 597 598 600 607 617 624 638 640 641 650 651 652 654 660 665 669 671 677 679 681 682 684 691 693 694 695 700 704 705 712 714 733 735 738 741 742 745 748 749 756 766 776 777 793 799 807 815 817 819 822 825 834 838 841 844 851 860 862 864 869 872 874 879 880 882 889 894 901 906 908 909 910 912 925 927 932 937 938 939 941 947 949 955 958 967 968 973 978 984 989 990 996 1001 1002 1009 1017 1023 1024 1026 1034 1037 1039 1041 1043 1048 1062 1064 1065 1078 1086 1088 1095 1098 1101] label_predict: [ 79 147 184 189 420 1059] label_predict: [ 79 121 189 813 961 1059] label_predict: [ 121 369 1039 1059]
3568it [01:27, 46.83it/s]
label_predict: [ 51 79 147 487 671 780 813 1059 1062] label_predict: [147 189 671 780] label_predict: [ 194 404 813 1020 1092] label_predict: [ 13 405 813 896 903 1092] label_predict: [121 161 189 204 304 450 813] label_predict: [ 18 25 161 331 534 584 611 642 734 758 797 813 953 974 1059 1092] label_predict: [ 51 147 156 194 227 477 584 671 780 813 1046 1059 1062 1092] label_predict: [ 51 147 194 404 671 744 813 1046 1092 1099] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 79 188 369 489 612 671 1059]
3578it [01:27, 47.10it/s]
label_predict: [ 79 156 189 194 487 813 1059 1062] label_predict: [ 615 813 896 1092] label_predict: [ 51 147 189 744 813 903 1092] label_predict: [ 45 51 147 189 744 813 896 903 1092] label_predict: [ 13 147 698 813 896 903 1092] label_predict: [ 79 121 1059] label_predict: [ 79 147 189 813 1046 1092] label_predict: [ 13 480 483 776 813 830 1046] label_predict: [ 111 147 189 813 896 1046 1092] label_predict: [ 79 147 189 477 671 780 1034 1035]
3589it [01:27, 47.33it/s]
label_predict: [ 79 147 369 489 612 671 780 1059] label_predict: [ 51 121 147 188 369 738 813 1059] label_predict: [ 51 147 156 189 541 813 1092] label_predict: [ 13 147 156 189 671 813 1092] label_predict: [ 147 156 189 306 348 744 813 889 896 903 1092] label_predict: [ 161 304 487 758 1059] label_predict: [ 147 189 306 744 813 903 1092] label_predict: [ 147 156 189 259 418 541 542 663 800 813 835 949 1046 1072 1092] label_predict: [ 121 147 182 189 194 754 1059] label_predict: [ 51 147 189 552 671 780 1034] label_predict: [ 51 147 189 813 961 1092]
3600it [01:28, 48.28it/s]
label_predict: [ 147 156 189 418 813 835 1092] label_predict: [ 13 147 744 813 896 903 1092] label_predict: [ 147 189 800 813 835 1092] label_predict: [ 79 147 189 436 671 813 1059] label_predict: [ 147 369 436 813 1019] label_predict: [ 147 189 744 813 896 903 1092] label_predict: [ 51 147 189 554 612 744 813 896 903 1092] label_predict: [ 99 121 125 161 304 464 634 872] label_predict: [ 147 156 189 663 813 835 1092] label_predict: [ 79 147 156 189 498 813 1059 1062]
3610it [01:28, 47.79it/s]
label_predict: [ 147 189 744 813 896 903 1092] label_predict: [ 147 156 189 813 896 903 1092] label_predict: [ 147 156 189 418 541 542 813 949 1072 1092] label_predict: [ 121 304 464 1039] label_predict: [ 147 156 189 259 813 835 1092] label_predict: [ 147 189 813 1046 1092] label_predict: [ 79 147 156 189 671 780 813 1059 1092] label_predict: [ 147 156 189 418 541 542 579 753 796 813 896 949 1072 1092] label_predict: [ 147 188 189 477 558 671 744 780 813 1034] label_predict: [ 13 51 111 147 483 573 738 776 813 830 1046 1092]
3621it [01:28, 46.94it/s]
label_predict: [ 99 121 161 304 487 1059] label_predict: [ 13 480 483 776 830 896 1046] label_predict: [ 79 99 121 498 813 961 1059 1092] label_predict: [ 51 121 813 1059] label_predict: [ 51 147 156 189 231 335 420 501 580 733 738 744 813 1092] label_predict: [ 147 156 189 813 896 1092] label_predict: [ 13 734 813 1092] label_predict: [ 147 156 189 259 418 541 542 579 813 949 1072 1092] label_predict: [ 147 189 259 418 541 663 718 796 800 813 835 949 1092] label_predict: [ 13 147 744 813 896 903 1092]
3631it [01:28, 47.46it/s]
label_predict: [ 147 156 189 259 541 813 835 1092] label_predict: [ 13 147 445 655 813 896 903 1092] label_predict: [ 79 489 584 1059] label_predict: [121 147 189 369 433 436 558 744 813 903] label_predict: [ 79 147 194 671 780 813] label_predict: [ 51 111 147 156 189 541 616 813 1092] label_predict: [ 79 188 369 489 1059] label_predict: [ 147 189 671 780 1034 1035] label_predict: [ 79 121 754 1039 1059] label_predict: [ 51 147 189 813 1092]
3636it [01:28, 47.51it/s]
label_predict: [ 147 189 434 483 501 545 559 737 738 813 931 1046] label_predict: [ 79 121 1059] label_predict: [ 1 33 275 369 432 582 724 962 1023 1061] label_predict: [ 111 147 189 480 483 501 737 738 776 813 923 1046] label_predict: [ 79 369 438 726 1039] label_predict: [ 121 369 464 586 1039] label_predict: [ 51 147 189 552 597 639 671 780 1034] label_predict: [ 147 189 418 541 813 835 1092] label_predict: [ 79 194 487 1059]
3646it [01:28, 45.81it/s]
label_predict: [121 147 189 304 450 558 744 813 903] label_predict: [121 147 433 744 903] label_predict: [ 13 147 813 896 1092] label_predict: [121 313 962] label_predict: [ 147 813 1059] label_predict: [ 13 14 121 147 552 626 671 780] label_predict: [ 13 147 189 552 671 768 780] label_predict: [ 13 111 147 189 480 483 501 737 738 776 813 1046] label_predict: [ 147 156 189 541 813 1092]
3656it [01:29, 46.11it/s]
label_predict: [ 13 147 552 671 768 780] label_predict: [ 13 51 121 147 189 813 1092] label_predict: [ 194 404 477 671 744 780 813 1046 1092 1099] label_predict: [ 121 432 433 582 724 1023] label_predict: [ 13 405 776 830 896 1046 1092] label_predict: [ 51 111 147 189 480 483 501 573 733 737 738 776 813 1046 1092] label_predict: [ 121 718 813 1092] label_predict: [ 13 51 147] label_predict: [ 147 188 744 803 813 1092 1099] label_predict: [ 147 189 430 541 559 813 949 1092]
3666it [01:29, 45.79it/s]
label_predict: [ 51 147 189 813 1092] label_predict: [121 147 188 558 744] label_predict: [ 13 51 147 189 434 813 1092] label_predict: [ 147 156 189 259 418 541 813 835 949 1020 1092] label_predict: [ 51 147 189 612 671 744 780 813 896 903 1092] label_predict: [121 147 189 558 744 813 903] label_predict: [ 99 121 304 718 813 961 1092] label_predict: [ 51 147 189 671 813 1059] label_predict: [ 51 147 156 189 813 961 1092] label_predict: [ 79 99 354 369 489 584 1059]
3677it [01:29, 45.23it/s]
label_predict: [ 51 147 156 189 477 485 603 671 780 813 835 858 1092] label_predict: [ 245 300 344 368 369 436 587 766 1059 1084] label_predict: [ 121 415 464 1039] label_predict: [ 79 95 116 121 161 194 225 226 304 362 369 374 415 465 487 524 600 624 626 650 663 703 724 735 738 748 758 809 813 832 844 901 925 955 974 1010 1023 1026 1059 1092] label_predict: [ 51 79 147 189 194 369 436 655 671 780 813] label_predict: [ 79 121 280 498 738 813 1059 1092] label_predict: [ 147 369 586 1039] label_predict: [ 70 147 189 418 800 813 1092] label_predict: [121 147 189 420 433 724 738 813 962]
3682it [01:29, 42.47it/s]
label_predict: [ 51 147 189 744 813 835 1092] label_predict: [ 483 501 516 519 545 548 549 737 738 813 931 993 1033 1046] label_predict: [ 51 147 189 586] label_predict: [ 51 147 156 189 369 671 780 1059] label_predict: [ 147 189 813 961 1092] label_predict: [ 147 189 671 768 780 1034 1035] label_predict: [ 51 147 188 189 485 671 780 813 835 1092] label_predict: [ 79 147 156 194 369 477 584 612 671 780 1059]
3692it [01:30, 44.09it/s]
label_predict: [ 13 51 147 189 813 896 1092] label_predict: [ 147 189 369 671 813 1059 1092] label_predict: [ 79 121 147 369 813] label_predict: [ 13 51 147 813 896 903 1092] label_predict: [ 147 189 813 896 1046 1092] label_predict: [ 147 156 189 375 477 489 612 671 780 813 835 1092] label_predict: [ 156 189 245 300 355 369 587 726 766 994 1020 1059 1084] label_predict: [ 121 369 433 582 813 1023 1061 1099] label_predict: [ 13 194 404 813 1020 1092] label_predict: [ 13 14 41 147 552 671 780]
3702it [01:30, 45.35it/s]
label_predict: [ 13 147 189 369 552 671] label_predict: [ 79 156 194 487 671 813 1059 1062] label_predict: [ 13 147 698 813 896 903 1092] label_predict: [ 79 194 671 813 1046 1059 1092] label_predict: [ 121 433 774 1039 1059] label_predict: [ 79 121 189 482 498 704 813 961 1092] label_predict: [ 156 189 245 300 369 587 726 766 1020 1059 1084] label_predict: [ 147 156 189 813 1092] label_predict: [ 99 121 189 498 718 813 961 1092] label_predict: [ 121 1059]
3712it [01:30, 41.77it/s]
label_predict: [ 13 131 147 189 552 671 768 780] label_predict: [ 79 147 156 189 194 671 813 1059 1062 1092] label_predict: [ 51 147 156 369 436 532 1022 1039 1059] label_predict: [ 111 147 156 189 259 420 733 738 776 813 1046 1092] label_predict: [ 194 477 671 780 813 1046 1092 1099] label_predict: [ 147 813 1092] label_predict: [ 13 14 19 29 45 51 78 85 87 95 116 121 125 127 133 145 147 152 158 161 167 179 184 189 226 231 245 263 266 276 287 289 297 301 304 310 313 317 364 379 389 415 416 435 445 448 457 464 465 473 475 477 486 487 493 505 520 524 534 552 568 608 624 626 631 634 635 648 650 662 663 671 677 682 684 691 697 705 714 720 724 732 735 738 745 748 754 766 771 780 784 797 800 809 816 819 832 844 850 860 872 880 897 901 922 925 928 931 953 955 961 962 966 967 974 980 999 1000 1010 1024 1026 1040 1055 1057 1070 1071 1084 1092 1101] label_predict: [ 79 147 156 194 487 671 780 813 1059 1062 1092] label_predict: [ 79 194 369 1039 1059]
3722it [01:30, 44.90it/s]
label_predict: [ 121 184 1039 1059] label_predict: [ 13 405 896 903 1092] label_predict: [ 147 156 189 259 420 733 734 813 835 993 1046 1092] label_predict: [147 156 189 671 744 780 813] label_predict: [ 111 147 189 420 733 738 776 813 1046 1092] label_predict: [ 51 147 189 718 720 813 1092] label_predict: [ 13 51 147 189 369 655 671 780 978] label_predict: [ 147 156 189 369 586 833 1020 1039] label_predict: [ 51 121 147 189 744 813 1092] label_predict: [ 79 147 156 194 671 780 813 1059 1062 1092] label_predict: [ 51 111 147 156 189 212 283 323 515 554 584 628 813 1059]
3733it [01:30, 47.51it/s]
label_predict: [ 99 161 304 487 718 813 1059] label_predict: [ 194 477 671 744 780 813 1092 1099] label_predict: [ 13 51 147 189 718 813 896 903 1092] label_predict: [ 51 147 189 430 434 501 738 747 813 1092] label_predict: [ 13 147 189 552 671 768 780] label_predict: [ 147 189 813 1046] label_predict: [ 161 184 304 369 587 766 833 1039 1059] label_predict: [ 13 51 147 744 813 1092] label_predict: [ 147 189 430 434 501 738 813 931 1046 1092] label_predict: [ 51 147 156 584 671 780 813 1059]
3744it [01:31, 48.77it/s]
label_predict: [ 147 189 813 1092] label_predict: [ 79 147 189 671 754 780 1059] label_predict: [ 51 79 147 156 194 477 671 776 780 1046 1059 1062] label_predict: [ 51 79 147 156 188 189 477 489 612 671 744 780 813 835 1059 1092] label_predict: [ 79 147 189 194 450 461 477 576 624 639 671 780 1034 1035 1059] label_predict: [ 18 25 61 161 331 444 534 584 611 734 751 758 797 813 953 974 1059 1062 1092] label_predict: [ 189 300 369 436 587 766 1059 1084] label_predict: [ 79 161 1059] label_predict: [ 51 111 147 156 189 212 369 586 1039 1059] label_predict: [ 194 404 744 813 1020 1046 1092 1099]
3754it [01:31, 47.45it/s]
label_predict: [ 147 156 189 259 418 541 542 813 949 1072 1092] label_predict: [ 51 111 147 189 813 1092] label_predict: [ 13 51 147 189 720 744 813 903 1092] label_predict: [ 13 147 189 813 903 1092] label_predict: [ 99 161 304 487 489 718 1059] label_predict: [ 51 147 189 430 434 501 545 559 738 813 1092] label_predict: [ 13 698 813 896 903 1092] label_predict: [ 51 79 147 156 194 227 584 671 780 813 1059 1092] label_predict: [ 79 147 156 194 477 487 584 671 780 1059 1062] label_predict: [ 79 147 194 420 671 780 813 844]
3764it [01:31, 48.01it/s]
label_predict: [ 147 189 430 434 501 559 738 813 1092] label_predict: [121 420 962] label_predict: [ 79 121 718 1059] label_predict: [ 51 147 156 189 212 283 671 1059] label_predict: [ 147 161 189 304 744 813 903 1092] label_predict: [ 147 156 189 584 671 780 813 1059 1062 1092] label_predict: [188 194 369 420 813] label_predict: [ 99 188 304 489 774 1059] label_predict: [ 483 501 737 738 776 813 830 1046]
3774it [01:31, 46.88it/s]
label_predict: [ 13 79 147 194 1046] label_predict: [ 35 79 420 738 813 962] label_predict: [ 51 76 79 147 156 189 477 671 780 813 1059 1062 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 51 147 189 744 813 1092] label_predict: [ 99 121 188 813 1059] label_predict: [ 147 189 671 780 1034] label_predict: [ 13 51 147 156 813 896 1092] label_predict: [121 147 189 369 436 671] label_predict: [ 13 813 896 903 1092]
3779it [01:31, 47.05it/s]
label_predict: [ 79 121 369 726 1059] label_predict: [ 161 304 1059] label_predict: [ 369 726 1059 1084] label_predict: [ 147 188 189 671 803 813 1046 1092 1099] label_predict: [ 51 147 156 189 212 369 612 671 744 780 813 903 1059 1092] label_predict: [ 13 51 111 147 189 483 738 776 813 1046 1092] label_predict: [ 131 147 189 378 671 768 780 1034] label_predict: [ 147 189 671 738 780 813 1046 1092]
3789it [01:32, 43.79it/s]
label_predict: [ 147 483 738 776 813 830 1046 1092] label_predict: [ 13 147 189 813 896 903 1092] label_predict: [ 51 147 156 189 227 339 584 612 671 780 813 961 1030 1059 1092] label_predict: [ 79 121 304 487 1059 1062] label_predict: [ 51 147 369 586 1039] label_predict: [ 51 147 501 580 616 733 734 738 747 813 952 993 1092] label_predict: [ 13 480 483 776 830 896 1046] label_predict: [ 147 156 189 541 813 835 1092] label_predict: [ 13 147 189 552 671 768 780]
3794it [01:32, 43.70it/s]
label_predict: [ 147 189 477 671 780 1034] label_predict: [ 147 189 738 813 1046]
3804it [01:32, 33.82it/s]
label_predict: [ 131 147 189 597 671 768 1034 1035] label_predict: [ 51 147 188 189 744 813 903 1092] label_predict: [ 156 189 259 418 541 663 813 835 993 1092] label_predict: [ 13 51 147 813 896 1092] label_predict: [ 79 194 487 671 780 1059 1062] label_predict: [ 99 121 432 433 724 1059] label_predict: [ 51 147 156 189 369 671 813 1059] label_predict: [ 79 194 487 1059 1062] label_predict: [ 51 147 189 744 813 896 903 1092] label_predict: [ 147 189 663 800 813 835 1092]
3814it [01:32, 40.16it/s]
label_predict: [ 147 188 189 477 597 671 780 813 1092] label_predict: [ 147 189 671 768 780 1034] label_predict: [ 121 313 813 962 1039 1059] label_predict: [ 13 127 147 552 671 675 716 780 978] label_predict: [ 51 147 189 744 813 896 903 1092] label_predict: [ 51 147 189 501 538 580 616 744 747 813 993 1092 1093] label_predict: [121 161 304 634 724 872 955 962] label_predict: [ 121 498 813 961 1059 1092] label_predict: [ 13 121 147 813 1092] label_predict: [ 147 189 738 813 835 1046 1092]
3824it [01:33, 43.43it/s]
label_predict: [ 13 51 147 480 483 738 776 813 830 1046 1092] label_predict: [ 51 147 189 744 813 896 903 1092] label_predict: [147 188 189 369 552 597 612 671 780] label_predict: [ 194 480 483 494 725 737 738 776 813 830 923 975 1046] label_predict: [ 51 147 189 813 1059] label_predict: [ 79 147 189 194 671 780 813 1034 1046] label_predict: [ 51 79 147 189 194 671 780 813 1046 1092] label_predict: [ 147 813 896 1046 1092] label_predict: [ 13 51 147 189 538 655 671 744 780 813 903 1046 1092] label_predict: [ 79 147 188 189 420 477 671 780 813 1046 1092]
3835it [01:33, 46.09it/s]
label_predict: [ 51 147 189 813 1092] label_predict: [ 79 121 184 189 369 436 1059] label_predict: [ 121 147 189 738 813 1092] label_predict: [ 51 79 147 156 227 477 489 584 612 671 780 813 954 1030 1046 1059 1092] label_predict: [ 51 147 189 433 744 813 1092] label_predict: [ 51 58 147 189 477 554 558 612 671 744 780 813 903 1059 1092] label_predict: [ 147 156 189 485 671 744 1099] label_predict: [ 121 161 813 1059 1092] label_predict: [ 79 147 189 482 498 813 961 1092] label_predict: [ 13 147 189 552 671 780 813 1092] label_predict: [ 369 587 766 1020 1039 1059]
3840it [01:33, 46.45it/s]
label_predict: [ 147 156 189 418 541 542 813 1046 1092] label_predict: [ 51 147 188 189 369 477 489 612 671 780 1059] label_predict: [ 13 147 480 483 737 738 776 813 830 1046 1092] label_predict: [ 121 147 189 433 552 597 671 768 780 1034] label_predict: [ 79 147 189 369 1059] label_predict: [ 147 189 306 744 811 813 896 903 1092] label_predict: [ 147 813 896 1092] label_predict: [ 13 477 483 668 671 813 1046] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 111 147 156 189 813 1046 1092]
3851it [01:33, 47.54it/s]
label_predict: [ 51 147 156 189 322 369 477 489 554 612 671 780] label_predict: [ 13 51 147 552 626 671 780 813 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 147 189 813 835 1092] label_predict: [ 194 420 813 844 1059] label_predict: [ 111 147 189 259 813 835 1046 1092] label_predict: [ 79 194 489 584 671 780 1059] label_predict: [ 13 14 51 147 552 626 671 780 1056] label_predict: [ 13 51 147 813 1092] label_predict: [ 51 79 147 156 189 369 477 612 671 780]
3856it [01:33, 46.87it/s]
label_predict: [ 79 147 156 189 482 498 813 961 1092] label_predict: [ 51 147 189 813 961 1092] label_predict: [ 194 404 744 813 1020 1092 1099] label_predict: [ 111 147 156 189 259 418 541 813 1046 1092] label_predict: [ 51 147 156 189 283 369 477 532 671 780 813 1059 1092]
3866it [01:34, 37.54it/s]
label_predict: [ 121 597 1039] label_predict: [ 79 147 156 194 369 489 584 612 671 780 1059] label_predict: [ 79 99 121 161 487 498 718 813 961 1059 1062] label_predict: [ 147 189 744 813 889 903 1092] label_predict: [ 13 147 188 189 552 671 780 1034] label_predict: [ 51 147 369 1059] label_predict: [ 51 147 189 718 813 896 903 1092] label_predict: [ 13 51 147 519 671 813] label_predict: [ 51 147 189 813 1092] label_predict: [ 79 304 487 813 1059 1062]
3876it [01:34, 42.66it/s]
label_predict: [ 161 304 487 758 1059] label_predict: [ 51 111 147 189 813 1046 1092] label_predict: [ 51 147 188 189 369 612 671 744 780 813 903] label_predict: [ 79 147 189 194 477 624 639 671 780 1034 1035 1059] label_predict: [ 13 51 111 147 483 573 725 737 738 776 813 830 923 1046 1092] label_predict: [ 147 156 189 671 780 1059] label_predict: [ 79 282 487 813 1059] label_predict: [ 13 14 147 552 626 1056] label_predict: [ 13 404 405 813 896 903 1092] label_predict: [ 51 147 189 434 485 615]
3886it [01:34, 43.25it/s]
label_predict: [ 304 369 813 1059 1061] label_predict: [ 79 121 184 369 1039 1059] label_predict: [ 147 156 189 498 800 813 949 961 1092] label_predict: [ 147 189 671 780 1034] label_predict: [ 51 79 147 156 189 477 671 780 1034 1035 1046] label_predict: [ 79 147 156 189 489 671 780 1059] label_predict: [ 51 79 147 156 189 813 961 1059 1092] label_predict: [ 147 189 671 780 1034 1035] label_predict: [ 51 79 147 156 189 227 339 477 584 612 671 780 813 1059 1062 1092]
3896it [01:34, 44.68it/s]
label_predict: [ 147 194 404 744 813 1092] label_predict: [ 51 147 156 189 259 418 541 542 813 949 1046 1072 1092] label_predict: [ 147 156 189 541 542 671 780 813 1092] label_predict: [ 121 147 189 813 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 13 51 147 194 671 780 813 1092] label_predict: [ 51 111 147 156 189 212 369 586 1059] label_predict: [ 121 369 433 582 724 1023 1059 1061] label_predict: [ 13 483 776 830 1046 1092] label_predict: [ 13 147 813 1092]
3907it [01:34, 47.17it/s]
label_predict: [ 51 147 156 189 482 498 813 961 1092] label_predict: [ 13 147 554 744 813 896 903 1092] label_predict: [ 121 188 369 464 754 1039] label_predict: [ 99 304 718 813 896 961 1092] label_predict: [ 51 79 147 156 194 227 487 671 780 813 1059 1062 1092] label_predict: [ 79 147 156 189 671 744 780 813 1059 1092] label_predict: [ 79 147 156 189 477 489 612 671 780 813 835 1059 1092] label_predict: [ 51 111 147 189 813 896 1092] label_predict: [ 79 121 147 189 813 961] label_predict: [ 79 121 194 239 369 487 650 735 809 813 844 1059 1092]
3918it [01:35, 47.28it/s]
label_predict: [ 79 121 369 438 487 813 961 1059 1062 1092] label_predict: [ 189 369 813 1059] label_predict: [ 13 147 776 813 1046] label_predict: [147 156 189 485 671 744] label_predict: [ 147 156 182 189 420 477 671 744 754 813 903 1059] label_predict: [ 13 405 813 896 903 1092] label_predict: [ 13 480 483 494 501 725 737 738 776 813 830 923 1046] label_predict: [ 51 79 147 156 189 498 813 961 1059 1062 1092] label_predict: [ 51 111 147 189 483 738 776 813 1046 1092] label_predict: [ 121 313 962 1039]
3928it [01:35, 47.35it/s]
label_predict: [ 79 147 189 655 744 813 903 1092] label_predict: [ 147 188 189 369 477 597 671 780 1034] label_predict: [ 194 404 744 813 1020 1046 1092] label_predict: [ 147 156 161 189 813 1059 1092] label_predict: [ 615 813 896 1092] label_predict: [ 51 99 161 304 489 584 774 1059] label_predict: [ 25 161 194 487 534 738 813 953 974 1059 1062 1092] label_predict: [ 79 147 194 671 1059] label_predict: [ 147 189 813 896 1092] label_predict: [ 79 194 487 489 584 671 780 1059 1062]
3938it [01:35, 48.02it/s]
label_predict: [ 13 51 147 189 813 1092] label_predict: [ 121 147 433 813 1059 1092] label_predict: [ 147 189 420 477 612 671 780 813 835 1092] label_predict: [ 13 51 147 189 552 671 780] label_predict: [ 51 147 156 189 671 738 813 1046 1092] label_predict: [ 13 51 147 189 744 813 896 903 1092] label_predict: [ 70 111 147 189 813 835 1046 1092] label_predict: [ 121 304 415 650 724 744 809 813 955 962 1023] label_predict: [147 189 552 671 768 780] label_predict: [ 79 184 188 313 489 962 1039 1059]
3948it [01:35, 47.56it/s]
label_predict: [ 51 147 189 813 896 1092] label_predict: [ 121 1039 1059] label_predict: [ 369 438 726 766 1039] label_predict: [ 13 51 147 189 552 671 780] label_predict: [ 147 369 720 1039 1059] label_predict: [ 99 121 161 304 1059] label_predict: [121 161 304 464 634 872] label_predict: [ 51 111 147 189 813 1046 1092] label_predict: [ 111 147 189 483 501 737 738 813 931 1046 1092] label_predict: [ 79 121 194 239 487 813 961 1062]
3958it [01:36, 47.28it/s]
label_predict: [ 79 147 189 194 477 671 813 1046 1059 1092] label_predict: [ 51 79 147 156 227 477 612 671 780 813 1046 1092] label_predict: [ 147 189 369 744 813 903 1092] label_predict: [ 147 156 189 259 418 541 813 835 1092] label_predict: [ 51 147 189 194 813 1092] label_predict: [ 51 147 189 738 813 1046 1092] label_predict: [ 79 121 147 184 194 369 1059] label_predict: [ 13 51 147 189 738 813 1046 1092] label_predict: [ 79 147 188 189 477 518 671 780 813 1034] label_predict: [ 304 718 813 1092]
3969it [01:36, 48.04it/s]
label_predict: [ 79 147 189 194 744 813 903 1059 1092] label_predict: [ 121 313 962 1039] label_predict: [ 13 14 147 552 716 780] label_predict: [ 147 189 744 813 896 903 1092] label_predict: [ 79 313 962 1059] label_predict: [ 51 147 188 744 813 1092] label_predict: [ 99 121 161 304 464 634 754 872 922] label_predict: [ 13 14 51 147 552 626 671 780 1056] label_predict: [ 147 156 189 259 541 813 835 1092] label_predict: [ 79 121 147 189 671 780 813 1059]
3975it [01:36, 49.04it/s]
label_predict: [ 51 79 147 156 189 671 780 813 1059 1062 1092] label_predict: [ 147 161 189 304 800 813 961 1092] label_predict: [121 147 433 552] label_predict: [ 51 79 147 156 227 369 477 584 612 671 780 813 1046 1059 1062] label_predict: [ 147 156 189 259 418 541 813 835 949 1092] label_predict: [ 99 121 161 304 489 774 1059] label_predict: [ 51 79 194 487 671 780 813 1059 1062 1092] label_predict: [ 194 404 483 738 744 813 1046 1092 1099] label_predict: [ 147 161 369 1059] label_predict: [ 13 51 147 483 776 830 1046] label_predict: [ 51 121 369 489 584 1059]
3986it [01:36, 48.18it/s]
label_predict: [ 147 189 369 639 671 780 950 1034 1035] label_predict: [ 13 147 552 626 671 780] label_predict: [ 13 51 147 189 671 813 1092] label_predict: [ 13 51 147 744 813 896 903 1092] label_predict: [ 147 189 813 1092] label_predict: [ 161 304 813 962 1059 1092] label_predict: [ 51 194 744 813 1046 1092] label_predict: [ 13 51 147 483 737 738 776 813 830 1046] label_predict: [ 147 156 189 612 671 744 813 1059 1092] label_predict: [ 156 189 259 418 420 541 663 733 800 813 835 993 1084 1092]
3996it [01:36, 45.77it/s]
label_predict: [ 79 194 671 1059] label_predict: [ 147 189 744 813 896 903 1092] label_predict: [ 147 189 813 1046 1092] label_predict: [ 13 79 121 147 189 776 813 1046] label_predict: [ 369 586 766 1039] label_predict: [ 51 147 156 189 322 369 612 671 780] label_predict: [ 25 161 189 813 1059 1092] label_predict: [ 147 156 189 541 813 835 949 1092] label_predict: [ 51 111 147 156 189 738 776 813 1046 1092]
4006it [01:37, 44.18it/s]
label_predict: [ 147 156 189 418 541 813 949 1092] label_predict: [ 125 161 204 304 634 872 1059] label_predict: [ 51 79 147 189 482 497 498 813 961 1059 1092] label_predict: [ 147 156 189 259 541 813 949 1092] label_predict: [ 25 161 331 420 423 425 444 534 584 611 642 707 722 733 734 738 751 797 800 813 897 953 974 993 1059 1092] label_predict: [121 147 671] label_predict: [ 51 79 147 188 189 420 477 597 639 671 738 780 813 835 1034 1046 1092] label_predict: [ 121 433 1039] label_predict: [ 147 188 189 369 428 597 744 803 813 950 1099] label_predict: [ 79 147 189 194 477 671 780 813 1034 1059 1092]
4017it [01:37, 46.48it/s]
label_predict: [147 189 597 671 744 780 813] label_predict: [ 147 156 189 477 671 780 813 835 1092] label_predict: [ 79 194 487 671 1059 1062] label_predict: [ 79 99 487 489 1059 1062] label_predict: [ 13 51 111 147 480 483 725 737 738 776 813 830 923 1046 1092] label_predict: [ 79 147 156 189 420 498 813 961 1059 1092] label_predict: [ 147 813 896 1092] label_predict: [ 13 420 477 670 734 746 755 896 975 1092] label_predict: [ 13 51 147 231 519 615 738 744 813 952 1092 1099] label_predict: [ 79 121 194 369 489 1039 1059]
4028it [01:37, 47.39it/s]
label_predict: [ 121 813 1092] label_predict: [ 121 231 489 1039 1059] label_predict: [ 51 147 156 189 212 671 780 813 1059 1092] label_predict: [ 13 147 189 501 738 813 1046 1092] label_predict: [ 147 188 189 477 597 671 780 813 835 1092] label_predict: [ 51 147 189 335 813 1092] label_predict: [ 147 189 671 780 813 1092] label_predict: [ 147 698 813 896 1092] label_predict: [ 13 51 147 480 483 737 738 776 813 830 923 1046] label_predict: [ 111 147 189 813 835 1046 1092]
4038it [01:37, 44.64it/s]
label_predict: [ 147 189 671 768 780 1034 1035] label_predict: [ 147 156 189 259 418 541 542 579 813 949 1020 1072 1092] label_predict: [ 147 156 188 189 194 477 671 780 1034] label_predict: [ 13 51 147 189 813 896 1092] label_predict: [ 13 147 188 189 552 671 780 1034] label_predict: [ 121 189 434 501 738 813 1046] label_predict: [ 51 147 156 584 671 780 813 1059 1092] label_predict: [ 121 147 189 597 813 835 1092] label_predict: [ 127 156 245 300 344 368 369 587 766 1059 1084]
4048it [01:37, 45.20it/s]
label_predict: [121 813] label_predict: [ 79 147 156 189 369 671 780 813 1059] label_predict: [121 161 304 415 464 634 872] label_predict: [ 51 147 738 813 1092 1099] label_predict: [ 51 111 147 189 480 483 737 738 776 813 1046 1092] label_predict: [ 189 259 418 541 800 813 835 993 1092] label_predict: [ 13 51 147 189 552 626 671 780] label_predict: [ 51 147 189 800 813 835 1046 1092] label_predict: [ 147 189 718 813 896 903 1092] label_predict: [ 51 147 189 813 1092]
4053it [01:38, 45.91it/s]
label_predict: [ 156 189 245 300 368 369 436 587 766 1020 1039 1059 1084] label_predict: [ 147 189 813 1092] label_predict: [ 51 147 189 194 369 436 671 813 1059 1092] label_predict: [ 121 433 1039 1059 1061] label_predict: [ 147 156 369 487 813 1059] label_predict: [ 79 194 487 624 671 780 1059 1062] label_predict: [ 147 156 189 420 813 835 1092] label_predict: [ 147 744 813 896 903 1092] label_predict: [ 45 51 111 147 189 480 483 738 776 813 1046 1092]
4064it [01:38, 44.90it/s]
label_predict: [ 13 14 147 552 626 671 780] label_predict: [ 51 147 156 189 628 813 1059 1092] label_predict: [ 13 194 480 483 494 501 737 738 776 813 830 923 975 1046] label_predict: [ 13 615 813 896 1092] label_predict: [ 99 161 304 498 718 813 961 1092] label_predict: [ 51 147 156 584 1059] label_predict: [ 51 79 147 189 671 780 813 1034 1059] label_predict: [ 121 433 813 1059 1092] label_predict: [ 51 147 156 189 212 283 515 584 671 813 1059 1092] label_predict: [ 180 188 189 615 744 750 803 813 1099]
4074it [01:38, 44.22it/s]
label_predict: [ 147 194 744 813 1092] label_predict: [ 147 189 418 663 800 813 835 949 1092] label_predict: [ 79 147 189 194 552 671 780 1034] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 79 147 156 189 498 813 961 1092] label_predict: [ 147 189 418 541 800 813 835 949 1092] label_predict: [ 147 189 434 813 1092] label_predict: [ 147 189 718 813 896 903 1092] label_predict: [121 161 304 464 634 754 872] label_predict: [ 147 615 813 896 1092]
4084it [01:38, 46.30it/s]
label_predict: [ 51 111 147 189 483 738 776 813 1046] label_predict: [ 147 156 189 813 835 1092] label_predict: [ 51 147 189 671 813 1034 1092] label_predict: [ 51 147 188 194 671 744 780 813 1092 1099] label_predict: [ 79 194 369 563 566 1034 1061 1099] label_predict: [ 51 147 189 744 813 896 903 1092] label_predict: [ 13 405 698 813 896 966 1092] label_predict: [ 51 79 147 194 671 780 813 1046 1059 1092] label_predict: [ 13 51 111 147 616 813 1046 1092] label_predict: [ 147 156 189 541 813 1092]
4094it [01:38, 47.35it/s]
label_predict: [ 79 182 194 369 754 1039] label_predict: [ 13 477 813 903 1092] label_predict: [ 51 147 156 584 671 1059] label_predict: [ 147 156 189 541 813 1092] label_predict: [ 121 369 433 563 1061 1099] label_predict: [ 51 147 156 189 212 283 369 671 1059] label_predict: [ 147 189 813 896 1092] label_predict: [ 147 189 552 671 780 1034] label_predict: [ 51 79 147 156 189 487 671 780 813 1059 1062 1092] label_predict: [ 51 79 147 156 227 477 671 780 813 1046 1059 1062 1092]
4104it [01:39, 46.25it/s]
label_predict: [ 51 79 147 156 189 194 671 780 813 1059 1092] label_predict: [ 147 189 813 835 1092] label_predict: [ 147 156 189 813 896 961 1092] label_predict: [ 79 147 156 189 671 813 1059 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 79 147 188 189 194 671 780 1034 1035] label_predict: [147 156 189 477 485 603 671 780] label_predict: [ 13 147 189 813 896 903 1092] label_predict: [ 147 189 477 671 780 813 1034 1092] label_predict: [ 147 189 813 1092]
4115it [01:39, 47.79it/s]
label_predict: [ 13 51 111 147 189 483 738 776 813 1046 1092] label_predict: [147 189 552 813 903] label_predict: [ 147 189 420 718 738 813 835 962 1092] label_predict: [ 147 813 1059 1092] label_predict: [ 13 51 147 189 744 813 896 903 1092] label_predict: [ 13 147 189 744 813 896 903 1092] label_predict: [ 121 369 726 1084] label_predict: [ 121 1059] label_predict: [ 147 189 369 587 766 833 1020 1039 1059]
4125it [01:39, 44.27it/s]
label_predict: [ 13 51 147 671 813 1092] label_predict: [ 18 25 161 331 534 584 734 758 797 813 953 974 1059 1062 1092] label_predict: [ 13 51 147 552 1039 1059] label_predict: [ 121 498 813 896 1092] label_predict: [ 13 51 147 519 813 1092] label_predict: [ 147 189 477 671 780 1034 1035] label_predict: [125 161 204 304 464 634 872] label_predict: [ 51 147 586 1039] label_predict: [ 51 111 147 156 189 259 420 733 813 1046 1092] label_predict: [161 304 718 813]
4130it [01:39, 42.94it/s]
label_predict: [121 313 420 718 738 962] label_predict: [ 79 147 189 671 780] label_predict: [ 147 369 1039 1059] label_predict: [ 51 147 156 189 369 586 833 1039 1059] label_predict: [ 55 131 147 189 552 671 768 780] label_predict: [ 13 147 189 813 896 903 1092] label_predict: [147 156 189 485 671 780] label_predict: [ 13 404 405 445 813 896 903 1092]
4140it [01:40, 42.02it/s]
label_predict: [ 13 147 189 552 671 768 780] label_predict: [ 79 121 147 189 433 671] label_predict: [ 79 147 156 189 194 369 671 813 1059] label_predict: [ 13 194 404 568 655 813 896 1020 1092] label_predict: [ 79 147 156 189 671 780 813 1034 1035 1092] label_predict: [ 79 138 188 189 477 489 584 612 671 780 1046 1059 1062] label_predict: [ 13 51 147 744 813 896 1092] label_predict: [ 147 189 813 896 1092] label_predict: [ 51 147 156 189 259 813 835 1046 1092] label_predict: [ 96 161 236 304 744 813 903 962]
4150it [01:40, 45.15it/s]
label_predict: [ 147 189 813 949 1092] label_predict: [ 147 189 418 813 1046 1092] label_predict: [ 99 121 125 161 204 304 415 872] label_predict: [ 13 147 552 626 671] label_predict: [ 121 194 813 844 1092] label_predict: [ 51 79 147 156 188 369 477 487 647 671 780 1059 1062] label_predict: [ 161 304 369 487 758 813 1059] label_predict: [ 79 194 477 671 780 813 1046 1059 1092] label_predict: [ 121 147 189 194 813 844 1092] label_predict: [ 13 51 147 369 671 675 726 780 978 1059]
4160it [01:40, 45.61it/s]
label_predict: [ 698 813 896 1092] label_predict: [ 13 51 111 147 420 483 573 616 733 734 737 738 776 813 1046 1092] label_predict: [ 13 51 111 147 483 737 738 776 813 830 1046 1081 1092] label_predict: [ 45 111 147 189 480 483 501 737 738 776 813 923 975 1046] label_predict: [147 156 189 485 603 607 671 695 780] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 51 79 147 156 189 369 477 489 612 671 780 813 1059 1092] label_predict: [ 13 147 189 655 776 813 1046 1092] label_predict: [ 147 189 194 477 671 780 1034 1035] label_predict: [ 13 14 127 147 369 552 567 626 671 780]
4171it [01:40, 47.04it/s]
label_predict: [121 415 724 922 955 962] label_predict: [ 156 189 369 587 766 813 994 1059 1084] label_predict: [ 111 147 156 189 259 541 616 733 734 813 835 993 1046 1092] label_predict: [ 13 51 111 147 189 480 483 501 737 738 776 813 923 931 1046] label_predict: [ 147 156 332 418 541 542 671 753 813 949 1072 1092] label_predict: [ 79 99 121 354 1059] label_predict: [ 13 147 552 716] label_predict: [ 147 189 718 813 835 896 903 1092] label_predict: [ 51 147 189 671 780 813 1092] label_predict: [ 13 147 776 813 830 1046 1092]
4181it [01:40, 47.56it/s]
label_predict: [ 99 121 420 433 718 738 774 813 1059] label_predict: [ 51 147 483 737 738 776 813 830 1046 1092] label_predict: [ 25 161 331 423 444 534 584 611 642 734 797 800 813 953 974 993 1059 1092] label_predict: [121 415 684 724] label_predict: [ 79 147 188 189 671 780 1034 1035] label_predict: [ 99 125 161 304 489 1039 1059] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 13 51 147 189 671] label_predict: [ 13 147 552 626 671 780] label_predict: [ 99 121 498 718 813 961 1092]
4192it [01:41, 47.87it/s]
label_predict: [ 147 189 369 436 720 744 813 903 1092] label_predict: [ 147 189 744 813 903 1092] label_predict: [ 147 189 813 896 903 1092] label_predict: [ 99 147 813 896 961 1092] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 51 79 147 156 369 671 780 1059] label_predict: [ 189 304 813 1059] label_predict: [ 13 147 188 231 615 744 756 813 896 1092 1099] label_predict: [ 51 147 156 189 671 813 835 1059 1092] label_predict: [ 25 161 331 534 584 734 813 953 974 993 1059 1092]
4203it [01:41, 47.52it/s]
label_predict: [ 25 161 194 477 744 813 1059 1092] label_predict: [ 79 121 189 194] label_predict: [ 51 147 189 597 813 835 1092] label_predict: [ 13 51 147 744 813 896 903 952 1092] label_predict: [ 79 147 189 477 597 671 768 780 813 1034 1035] label_predict: [ 79 147 189 420 738 813 835 962 1092] label_predict: [ 25 161 331 420 534 584 611 734 797 813 953 974 1059 1092] label_predict: [ 79 161 304 813 1092] label_predict: [ 51 147 189 304 489 554 612 671 720 744 813 903 1059 1092] label_predict: [ 79 147 156 184 194 489 584 1059] label_predict: [ 147 189 813 1092] label_predict: [ 121 147 189 373 597 768 1034 1035] label_predict: [313 420 738 962]
4213it [01:41, 36.30it/s]
label_predict: [ 13 51 147 189 738 813 1046 1092] label_predict: [ 79 121 194 369 415] label_predict: [ 51 147 189 671 813 835 1046 1092] label_predict: [ 13 79 194 896 1059] label_predict: [ 75 147 189 306 511 655 718 744 811 813 896 903 1092] label_predict: [ 121 184 433 962 1039 1059] label_predict: [ 147 189 259 418 541 800 813 835 949 1046 1092] label_predict: [ 121 433 962 1059] label_predict: [ 147 189 663 718 796 800 813 896 903 1092] label_predict: [ 13 51 147 189 813 896 1092]
4223it [01:41, 41.49it/s]
label_predict: [ 51 147 156 189 212 369 515 833 1059] label_predict: [ 79 147 188 189 518 671 744 780 1034 1059 1099] label_predict: [ 51 70 147 189 813 835 1092] label_predict: [ 51 147 189 813 1092] label_predict: [121 558] label_predict: [ 147 156 189 813 1092] label_predict: [ 147 189 744 813 903 1092] label_predict: [ 13 147 671 813 1092] label_predict: [ 79 184 249 369 489 1059] label_predict: [ 13 14 51 147 552 626 671 780]
4234it [01:42, 44.92it/s]
label_predict: [ 79 121 1059] label_predict: [ 13 51 147 189 813 896 1092] label_predict: [ 13 147 698 813 896 1092] label_predict: [ 51 79 147 156 189 369 612 671 780 1059] label_predict: [121 147 194 671] label_predict: [ 147 189 813 1092] label_predict: [ 13 147 194 813 896 1092] label_predict: [ 121 369 1039 1059] label_predict: [ 13 519] label_predict: [ 51 147 188 477 671 780 813 1046 1092]
4245it [01:42, 46.61it/s]
label_predict: [ 147 156 189 259 418 541 542 813 949 1072 1092] label_predict: [ 13 121 182 754 922 1059] label_predict: [ 51 147 156 189 477 554 612 671 744 780 813 903 1092] label_predict: [ 121 182 813 872 1059] label_predict: [ 79 194 671 813 1059 1092] label_predict: [ 188 189 420 813 1059] label_predict: [ 147 189 813 1092] label_predict: [ 147 156 189 671 780 813 1092] label_predict: [ 121 182 188 420 464 754 1059] label_predict: [ 121 182 369 464 493 634 754 922 1039] label_predict: [ 13 51 147 189 434 501 615 744 813 1092 1099]
4255it [01:42, 45.50it/s]
label_predict: [ 13 51 147 813 1092] label_predict: [ 147 189 597 671 768 780 1034 1035] label_predict: [ 111 147 189 420 480 483 501 573 737 738 776 813 830 1046] label_predict: [ 188 489 612 671 780 1059] label_predict: [ 99 161 217 236 304 331 718 774 813 1059 1061] label_predict: [ 13 51 147 189 626 813 896 961 1092] label_predict: [ 13 147 776 813 1046 1092] label_predict: [ 111 147 189 738 776 813 835 1046 1092] label_predict: [ 147 369 436 671 744 813 903 1019]
4265it [01:42, 44.92it/s]
label_predict: [ 13 51 111 147 480 483 737 738 776 813 923 1046 1092] label_predict: [ 13 51 79 147] label_predict: [ 51 111 147 156 189 369 586] label_predict: [ 79 121 189 813] label_predict: [ 121 1059] label_predict: [ 51 79 147 156 189 477 671 780 813 1059 1062 1092] label_predict: [ 13 147 369 436 552 720 813 1019] label_predict: [ 13 51 147 189 483 501 519 738 776 813 1046 1092] label_predict: [ 51 147 156 189 259 813 1046 1092] label_predict: [ 51 147 189 813 1046 1092]
4275it [01:43, 45.76it/s]
label_predict: [ 13 51 147 194 813 1092] label_predict: [189] label_predict: [ 121 161 718 813 961 1059 1092] label_predict: [ 13 51 147 156 189 436 671 813 1059 1092] label_predict: [ 13 51 147 813 896 1092] label_predict: [121 498 813 961] label_predict: [ 13 14 147 552 626 1056] label_predict: [ 147 156 369 586 587 766 833 884 1020 1039 1059 1084] label_predict: [ 51 99 161 304 813 961 1092] label_predict: [ 13 404 405 896 903 1092]
4287it [01:43, 48.25it/s]
label_predict: [ 99 125 161 192 304 331 493 495 1039] label_predict: [ 13 147 194 744 813 896 903 1092] label_predict: [ 79 111 147 189 418 420 477 616 671 733 776 780 813 835 1046 1092] label_predict: [ 79 147 156 189 436 671 744 780 813 1092] label_predict: [ 13 79 147 156 671 780 1059] label_predict: [ 79 121 194 813] label_predict: [ 79 147 189 194 477 639 671 780 1034 1059] label_predict: [ 147 189 813 896 1092] label_predict: [ 33 121 420 582 738 962 1023 1059] label_predict: [ 51 147 189] label_predict: [ 13 51 147 189 663 718 813 896 903 1092]
4297it [01:43, 46.70it/s]
label_predict: [ 51 147 156 189 671 813 1059 1092] label_predict: [ 99 121 304 724 1059] label_predict: [ 147 156 189 418 541 542 813 949 1092] label_predict: [ 121 415 432 433 724 1039] label_predict: [ 121 282 487 1039 1059] label_predict: [ 13 405 445 698 813 896 903 1092] label_predict: [ 121 131 147 189 552 597 671 768 780 1034] label_predict: [ 13 405 896 1092] label_predict: [ 79 111 147 477 671 737 738 776 780 813 830 1046 1092] label_predict: [121 304 415 464 724 872 955 962]
4307it [01:43, 46.51it/s]
label_predict: [ 147 156 189 259 418 541 744 813 835 1092] label_predict: [ 99 121 125 161 304 464 495 634 872 1039] label_predict: [ 51 79 147 156 189 212 369 671 1059] label_predict: [ 147 156 189 259 420 541 733 813 835 993 1046 1084 1092] label_predict: [ 51 147 189 738 813 1092] label_predict: [ 147 156 189 418 541 542 813 835 949 1072 1092] label_predict: [ 32 231 239 282 369 487 489 718 758 1059] label_predict: [ 13 51 127 147 369 552 671 675 780 813 978] label_predict: [ 79 188 189 489 671 780 1059] label_predict: [ 13 51 147 554 744 813 896 903 1092]
4317it [01:43, 46.49it/s]
label_predict: [ 13 41 147 189 552 671 768 780] label_predict: [ 147 189 813 1046 1092] label_predict: [ 13 51 147 189 718 813 896 903 1092] label_predict: [ 147 189 194 813 1092] label_predict: [ 79 304 369 1059] label_predict: [ 147 156 189 259 418 541 542 813 835 1092] label_predict: [ 13 51 79 147 738 776 813 830 1046 1092] label_predict: [ 13 51 147 194 744 813 896 1092] label_predict: [ 147 189 813 1059 1092] label_predict: [ 147 156 189 259 418 541 542 579 813 949 1072 1092]
4327it [01:44, 47.89it/s]
label_predict: [188 369] label_predict: [ 121 161 304 369 634 872 1059] label_predict: [ 147 189 800 813 1092] label_predict: [ 13 51 147 189 369 436 552 671 780 1059] label_predict: [ 99 161 304 718 813 961 1092] label_predict: [ 147 156 189 259 541 813 835 993 1092] label_predict: [ 13 147 698 813 896 1092] label_predict: [ 51 111 147 189 501 737 738 776 813 1046 1092] label_predict: [ 13 51 147 189 744 813 896 903 1092] label_predict: [ 147 189 194 671 768 780 1034]
4337it [01:44, 47.54it/s]
label_predict: [ 13 51 147 189 813 1092] label_predict: [ 121 184 1039 1059] label_predict: [ 51 147 189 813 835 1092] label_predict: [ 147 156 189 369 587 726 766 1020 1059 1084] label_predict: [121 147 369] label_predict: [ 194 404 744 813 1020 1046 1092] label_predict: [ 13 51 147 813 896 1092] label_predict: [ 79 147 156 189 671 780 813 1092] label_predict: [ 99 125 161 304 464 634 754 872 922] label_predict: [121 433]
4348it [01:44, 48.32it/s]
label_predict: [ 147 156 189 259 541 663 813 835 993 1092] label_predict: [ 51 147 194 671 813 1046 1092] label_predict: [ 718 813 896 1092] label_predict: [ 147 189 813 835 1046 1092] label_predict: [ 99 121 304 961 1059] label_predict: [ 51 147 189 813 1092] label_predict: [ 13 121 147 433 1039] label_predict: [ 51 147 156 189 212 584 586 671 813 1059] label_predict: [ 147 189 430 434 501 545 559 615 621 622 649 738 825 850 871 931 1038] label_predict: [ 147 156 189 259 418 541 542 813 835 949 1072 1092] label_predict: [ 51 99 161 304 774 1059]
4359it [01:44, 47.16it/s]
label_predict: [ 51 99 121 304 774 1039 1059] label_predict: [ 121 188 1059] label_predict: [ 369 436 720 1039 1059] label_predict: [ 51 147 156 189 671 780 1059] label_predict: [ 41 131 147 189 552 671 768 780] label_predict: [ 147 189 813 835 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 121 415 872 1059] label_predict: [ 13 79 111 147 483 738 776 813 830 1046] label_predict: [ 147 189 671 780 1034]
4364it [01:44, 43.23it/s]
label_predict: [ 51 147 189 671 780 813 1092] label_predict: [ 121 813 1092] label_predict: [ 147 156 189 259 418 541 744 813 835 1092] label_predict: [ 188 194 489 1059] label_predict: [ 79 147 189 194 671 780 1034] label_predict: [ 13 111 147 483 738 776 813 830 1046] label_predict: [121 147 189 552 671 780] label_predict: [ 147 156 189 418 541 542 813 949 1092]
4374it [01:45, 43.55it/s]
label_predict: [ 147 156 189 259 418 541 813 1092] label_predict: [ 51 79 147 156 487 671 813 1059 1062 1092] label_predict: [ 79 194 489 584 671 1059 1062] label_predict: [ 13 14 51 147 552 567 626 1056] label_predict: [ 79 188 189 552 671 780 1034] label_predict: [ 13 405 896 903 1092] label_predict: [ 111 147 189 738 776 813 1046 1092] label_predict: [ 79 147 156 189 813 896 961 1092] label_predict: [ 184 313 962 1059] label_predict: [ 13 51 147 189 813 896 1092]
4385it [01:45, 46.63it/s]
label_predict: [ 147 189 369 420 597 671 780 813 835 1059] label_predict: [ 51 147 189 663 718 813 896 903 1092] label_predict: [ 51 147 156 189 597 671 744 780 813 1092] label_predict: [ 79 147 156 189 477 671 780 813 835 1046 1092] label_predict: [161 304 464 634 754 813 872] label_predict: [121 313 813 872 962] label_predict: [147 156 189 477 485 603 671 780 813] label_predict: [ 13 51 147 189 813 1046 1092] label_predict: [ 51 147 189 420 738 776 813 835 1046 1092] label_predict: [ 147 189 477 639 671 780 1034 1035]
4395it [01:45, 46.29it/s]
label_predict: [ 147 189 477 671 780 1034 1035] label_predict: [ 51 111 147 189 259 616 734 813 993 1046 1092] label_predict: [ 99 313 420 738 962] label_predict: [ 147 156 189 259 541 813 993 1092] label_predict: [147 156 189 477 485 603 607 671 695 780 835 999] label_predict: [ 13 147 813 896 1092] label_predict: [ 79 121 194 738 813 962 1059] label_predict: [ 13 79 487 671 1059 1062] label_predict: [ 33 99 313 420 738 835 962]
4405it [01:45, 46.83it/s]
label_predict: [ 13 405 813 896 1092] label_predict: [ 13 147 369 744 813 896 1092] label_predict: [ 99 121 718 724 813 1059] label_predict: [ 79 121 147 189 482 497 498 813 961 1059 1092] label_predict: [ 13 147 1092] label_predict: [ 79 147 156 189 498 813 961 1092] label_predict: [ 13 405 896 903 1092] label_predict: [ 51 147 156 189 227 813 896 961 1092] label_predict: [ 147 188 189 671 780 813 1092] label_predict: [ 51 147 189 738 813 1046 1092]
4415it [01:46, 44.97it/s]
label_predict: [ 51 147 480 483 501 737 738 776 813 1046 1092] label_predict: [ 51 147 156 189 369 1059] label_predict: [ 51 111 147 189 738 776 813 1046 1092] label_predict: [ 51 147 189 434 554 559 744 813 835 1092] label_predict: [ 79 147 189 477 671 780 1059] label_predict: [ 147 189 813 896 1092] label_predict: [147 188 189 477 612 671 780 813] label_predict: [131 147 189 378 552 671 768 780] label_predict: [ 51 147 156 189 369 671 813 1092] label_predict: [ 147 189 541 542 813 949 1072 1092]
4425it [01:46, 46.94it/s]
label_predict: [ 13 51 147 189 813 896 1092] label_predict: [ 121 147 189 369 436 655 813 1059 1092] label_predict: [ 147 156 189 259 418 541 542 796 813 949 1072 1092] label_predict: [ 13 79 147 189 671 780 813 1092] label_predict: [ 111 147 189 733 738 776 813 1046 1092] label_predict: [420 813 962] label_predict: [ 79 147 188 189 498 671 813 1092 1099] label_predict: [ 147 718 813 896 1092] label_predict: [ 79 194 584 1059 1062] label_predict: [ 13 147 813 896 1092]
4436it [01:46, 47.88it/s]
label_predict: [ 13 79 147 189 813 896 1092] label_predict: [ 79 147 156 189 671 780] label_predict: [ 147 189 418 800 813 835 1046 1092] label_predict: [121 125 161 204 304] label_predict: [ 99 121 161 304 369 464 493 634 754 840 872] label_predict: [ 51 147 156 189 212 283 515 554 584 813 1059 1092] label_predict: [ 13 51 121 147 552 671 780 1059] label_predict: [147 156 189 369 671 744 813 903] label_predict: [ 121 1039 1059] label_predict: [ 121 184 369 1039 1059]
4446it [01:46, 48.06it/s]
label_predict: [ 51 147 189 335 813 1092] label_predict: [ 51 147 194 671 744 780 813 1046 1092 1099] label_predict: [ 51 147 189 813 896 903 1092] label_predict: [ 79 147 188 189 671 780 813 1092] label_predict: [ 147 156 189 259 418 541 542 579 813 949 993 1020 1072 1092] label_predict: [ 99 121 304 369 433 718 1059] label_predict: [ 13 51 147 189 813 896 903 1092] label_predict: [ 51 147 189 434 615 744 813 1092] label_predict: [ 79 194 489 671 1059] label_predict: [ 147 189 813 903 1092]
4456it [01:46, 48.15it/s]
label_predict: [ 13 51 147 194 813 1092] label_predict: [ 51 147 156 188 477 597 671 780 813 1034 1046 1092] label_predict: [ 147 189 259 418 800 813 835 1092] label_predict: [ 79 369 726] label_predict: [ 51 79 147 369 671 780 1059] label_predict: [ 79 121 194 369 754 1059] label_predict: [ 121 147 189 813 1059 1092] label_predict: [ 147 189 194 498 813 1046 1092] label_predict: [ 147 156 189 259 418 541 813 1092] label_predict: [ 51 147 188 477 480 483 671 776 803 1046 1059 1099]
4466it [01:47, 47.64it/s]
label_predict: [ 79 147 156 189 498 813 1059 1062 1092] label_predict: [121 813] label_predict: [ 147 188 369 671 1059] label_predict: [ 147 156 189 259 418 541 542 579 813 949 1072 1092] label_predict: [ 99 121 161 304 738 813 872 922 955 962 1092] label_predict: [ 79 147 188 477 671 780 813 1092] label_predict: [ 51 147 304 489 612 1059] label_predict: [ 147 156 189 259 418 541 813 835 949 1092] label_predict: [ 25 161 584 813 1059 1062 1092] label_predict: [ 147 189 369 436 587 766 1020 1039 1059]
4471it [01:47, 44.95it/s]
label_predict: [ 79 369 671 1059] label_predict: [ 33 99 313 420 738 835 962] label_predict: [ 121 147 369 1039] label_predict: [147 189 671 744 780 813 903] label_predict: [ 13 51 147 813 896 1092] label_predict: [ 147 156 189 418 541 542 796 813 835 949 1072 1092] label_predict: [ 147 189 671 780 1034] label_predict: [ 13 194 404 813 896 1020 1092] label_predict: [ 13 405 896 903 1092]
4481it [01:47, 44.92it/s]
label_predict: [ 615 813 896 1092] label_predict: [121 433 724 955 962] label_predict: [ 147 156 189 259 418 541 542 813 949 1072 1092] label_predict: [ 147 189 477 671 780 1034 1035] label_predict: [ 51 147 189 663 813 1092] label_predict: [ 51 147 194 1059] label_predict: [ 79 147 156 194 813 844 961 1092] label_predict: [ 13 51 147 189 813 1092] label_predict: [ 51 147 156 189 283 671 813 1059 1092] label_predict: [ 184 369 586 587 766 833 884 1020 1039 1059]
4491it [01:47, 45.33it/s]
label_predict: [ 79 147 156 189 482 498 813 896 961 1059 1092] label_predict: [ 304 369 1039 1059] label_predict: [ 147 156 189 259 418 541 542 579 813 835 949 1046 1072 1092] label_predict: [ 147 189 671 813 1092] label_predict: [ 79 147 477 671 776 813 830 1046 1059] label_predict: [ 121 304 369 415 684 724 735 748 955 962 1023 1059] label_predict: [ 13 51 147 156 189 813 1059 1092] label_predict: [ 99 194 369 420 489 1059] label_predict: [ 121 147 189 369 436 671 1059] label_predict: [ 127 188 369 489 493 675 754 922 978 1039]
4501it [01:47, 45.64it/s]
label_predict: [ 147 156 189 482 498 813 949 1092] label_predict: [ 79 121 415 738 961] label_predict: [ 147 156 189 418 541 542 796 813 949 1072 1092] label_predict: [ 79 420 962] label_predict: [ 26 51 147 156 189 212 283 554 612 671 744 746 780 813 889 903 1059 1080] label_predict: [ 51 147 189 259 501 541 580 747 813 993 1092] label_predict: [ 51 147 189 744 813 1092] label_predict: [ 79 147 189 194 671 780 813 1034] label_predict: [ 51 147 189 718 813 896 903 1092]
4512it [01:48, 43.95it/s]
label_predict: [ 51 147 189 420 738 813 835 1046 1092] label_predict: [ 188 369 489 612 774 1059] label_predict: [ 51 99 304 487 1059] label_predict: [ 121 1059] label_predict: [ 13 51 147 194 744 813 896 1092] label_predict: [ 147 813 896 1046 1092] label_predict: [ 79 147 156 194 671 780 1059] label_predict: [ 121 147 189 420 1034] label_predict: [ 51 147 189 813 835 858 1092] label_predict: [ 51 147 194 485 738 744 813 1092 1099]
4517it [01:48, 44.40it/s]
label_predict: [ 13 147 189 744 813 896 903 1092] label_predict: [ 58 121 182 188 428 558 724 744 754 813 903 955] label_predict: [ 13 51 111 147 420 483 573 616 737 738 776 813 830 1046 1092] label_predict: [ 147 189 671 780 813 835 1034] label_predict: [ 13 813 896 1092] label_predict: [ 51 147 156 189 227 477 612 655 671 780 813 954 1046 1092] label_predict: [121 147] label_predict: [ 79 147 369 586 833 1039 1059]
4532it [01:48, 42.80it/s]
label_predict: [ 147 189 259 800 813 835 1046 1092] label_predict: [ 111 147 189 420 483 573 738 776 813 1046 1092] label_predict: [ 51 147 189 813 1046 1092] label_predict: [ 147 813 1046 1092] label_predict: [ 79 121 194 1039 1059] label_predict: [ 51 147 156 189 485 671 813 835 1092] label_predict: [ 147 189 813 1059 1092] label_predict: [ 147 189 813 896 1092] label_predict: [ 79 194 354 487 489 584 1059 1062] label_predict: [ 51 147 189 813 1092]
4542it [01:48, 44.23it/s]
label_predict: [ 487 1059] label_predict: [ 369 1059] label_predict: [ 13 51 147 189 552 626 671 780] label_predict: [ 156 189 369 587 766 1084] label_predict: [ 79 147 189 671 780 813 1034 1046] label_predict: [ 13 147 189 655 671 813 903 1046 1092] label_predict: [ 13 79 147 189 671 813 1034 1046] label_predict: [ 51 147 156 189 671 813 961 1092] label_predict: [ 121 188 489 1059] label_predict: [ 99 161 482 497 498 718 813 961 1092]
4547it [01:48, 44.46it/s]
label_predict: [ 147 189 813 896 1092] label_predict: [ 51 147 189 718 813 1092] label_predict: [ 79 147 194 552 655 671 780 813] label_predict: [ 111 147 156 189 418 477 671 780 813 835 1034 1035 1046 1092] label_predict: [ 79 121 1059] label_predict: [ 79 188 477 489 612 671 780 1059 1062] label_predict: [ 51 147 189 413 430 434 501 559 738 747 813 835 871 1092] label_predict: [ 13 147 813 896 1092] label_predict: [ 51 147 189 194 671 813 1092]
4557it [01:49, 45.25it/s]
label_predict: [ 13 51 147 189 434 483 501 737 738 813 1046 1092] label_predict: [ 13 51 147 744 813 896 1092] label_predict: [ 147 156 189 259 541 813 993 1092] label_predict: [ 147 189 418 541 796 813 949 1072 1092] label_predict: [ 13 51 147 552 626 671 716 780] label_predict: [147 156 189 485 603 607 671 780] label_predict: [ 147 189 194 671 780 1034 1046] label_predict: [188 189 369 464 507] label_predict: [ 147 156 189 813 896 903 1092] label_predict: [ 51 79 147 189 813 1046 1059 1092]
4567it [01:49, 46.06it/s]
label_predict: [ 51 147 189 813 1059 1092] label_predict: [ 79 147 156 189 369 436 671 813 1059 1092] label_predict: [ 18 25 51 61 147 156 161 189 331 758 813 1059 1092] label_predict: [ 79 121 704 813 961] label_predict: [ 79 147 194 671 780 1034] label_predict: [ 194 369 671 1059] label_predict: [ 13 51 111 147 189 480 483 501 737 738 776 813 923 1046] label_predict: [ 79 194 671 780 1059] label_predict: [ 111 147 156 189 259 418 541 813 835 949 1046 1092] label_predict: [ 51 147 189 671 813 1092]
4577it [01:49, 46.96it/s]
label_predict: [ 51 147 189 477 671 744 780 950 1034] label_predict: [ 13 147 554 744 813 896 903 1092] label_predict: [ 13 51 147 194 813 1046 1092] label_predict: [ 147 156 189 671 780 1034] label_predict: [ 147 189 434 738 813 835 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 147 156 189 259 541 733 813 835 993 1046 1092] label_predict: [ 51 147 156 189 369 436 612 671 744 780 813] label_predict: [ 13 51 147 477 671 813 1046 1092]
4587it [01:49, 39.10it/s]
label_predict: [ 131 147 189 369 373 597 671 768 780 1034 1035] label_predict: [ 79 147 188 189 498 671 780 813 835 1059 1092] label_predict: [ 189 480 483 501 737 738 931 1046] label_predict: [ 51 147 156 189 671 813 1059 1092] label_predict: [ 13 51 147 813 1092] label_predict: [ 147 156 189 813 1059 1092] label_predict: [ 147 189 420 738 813 835 962 1092] label_predict: [121 194 239 813 844 961] label_predict: [ 13 51 147 552 612 671 744 780 813 896 903 1092] label_predict: [121 420 754 962]
4598it [01:50, 42.97it/s]
label_predict: [ 51 147 156 189 477 671 780 813 1046 1059 1092] label_predict: [ 121 147 189 738 813 835 1092] label_predict: [ 79 121 147 189 671 780 813 1092] label_predict: [ 79 369 813 1059] label_predict: [ 121 304 369 464 1039] label_predict: [ 147 194 369 655 671 744 780 813 1092] label_predict: [ 369 436 720 813 1019 1039 1059 1098] label_predict: [ 194 404 813 1046 1092] label_predict: [ 13 51 147 189 671 780 813 1046 1092] label_predict: [ 79 194 477 671 813 1059 1092]
4608it [01:50, 44.63it/s]
label_predict: [ 51 79 147 156 189 420 671 813 835 1046 1059 1092] label_predict: [ 13 147 813 896 1092] label_predict: [ 79 147 156 189 194 671 813 1059 1092] label_predict: [ 147 156 189 671 780 813 1034 1035 1046 1092] label_predict: [ 147 189 744 813 896 903 1092] label_predict: [ 79 184 188 487 489 1039 1059] label_predict: [ 51 147 189 813 1092] label_predict: [147 189 671 780] label_predict: [ 79 231 282 487 489 758 1059] label_predict: [ 369 438 726 1039]
4619it [01:50, 46.90it/s]
label_predict: [ 189 483 501 737 738 776 813 1046] label_predict: [ 13 51 147 189 813 896 1092] label_predict: [ 13 51 111 147 189 480 483 501 737 738 776 813 923 1046] label_predict: [121 304 415 464 684 724 955 962] label_predict: [ 51 79 147 188 189 428 744 803 813 1092 1099] label_predict: [ 147 189 194 552 671 768 780 1034] label_predict: [ 147 189 671 744 780 813 1034] label_predict: [ 121 147 1059] label_predict: [ 51 147 813 1092] label_predict: [ 13 51 147 189 813 896 903 1092]
4630it [01:50, 47.97it/s]
label_predict: [ 13 79 147 738 776 813 1046 1092] label_predict: [ 369 436 720 813 1019] label_predict: [ 51 147 189 738 744 813 835 1059 1092] label_predict: [ 13 51 147 189 532 813 1022 1092] label_predict: [ 79 147 189 671 780 1034] label_predict: [ 147 304 369 587 766 884 1020 1039] label_predict: [ 121 369 884 1039] label_predict: [ 121 184 313 962 1039 1059] label_predict: [ 147 189 304 369 1039 1059] label_predict: [ 79 489 612 1059]
4635it [01:50, 47.93it/s]
label_predict: [ 51 147 188 189 231 671 744 780 813 1092 1099] label_predict: [ 161 304 487 1059] label_predict: [ 13 51 147 671 813 1092] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 51 147 189 552 671 768 780] label_predict: [121 313 420 738 955 962] label_predict: [ 147 189 369 552 597 671 768 780 1034] label_predict: [ 51 147 189 813] label_predict: [ 79 121 1059]
4645it [01:51, 46.46it/s]
label_predict: [ 147 189 813 1092] label_predict: [ 51 147 156 189 584 612 671 780 1059] label_predict: [ 121 188 226 231 369 464 487 872 1039 1059] label_predict: [ 51 111 147 189 480 483 501 737 738 776 813 1046 1092] label_predict: [ 13 147 189 655 671 744 813 903 1092] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 79 147 156 194 487 671 780 1059 1062] label_predict: [ 13 405 896 1092] label_predict: [ 51 79 147 156 189 498 671 813 961 1059 1092] label_predict: [ 79 121 1039 1059]
4655it [01:51, 45.73it/s]
label_predict: [ 13 147 776 813 1046 1092] label_predict: [ 79 99 125 194 304 489 1059] label_predict: [ 51 147 156 189 671 780 1059] label_predict: [ 51 147 156 189 813 1059 1092] label_predict: [ 51 79 147 156 369 489 584 612 671 780 1059] label_predict: [ 147 189 671 780 1034] label_predict: [ 13 51 147 616 813 952 1046 1092] label_predict: [ 147 189 418 671 780 800 813 835 1092] label_predict: [ 13 51 147 552 626 671 780]
4665it [01:51, 44.94it/s]
label_predict: [ 79 121 147 189 194 671 780 1034] label_predict: [ 99 121 161 304 464 634 754 872] label_predict: [ 13 51 147 813 896 1092] label_predict: [ 147 189 813 835 1092] label_predict: [ 51 147 156 189 322 369 477 554 612 671 780 954] label_predict: [121 147 189 369 436 720 813] label_predict: [ 121 188 189 433 597 1034] label_predict: [ 13 121 147 552 626] label_predict: [ 13 477 670 693 813 896 1092] label_predict: [ 147 156 189 259 335 501 541 580 733 738 744 813 835 993 1092]
4675it [01:51, 45.73it/s]
label_predict: [ 121 369 1039 1061] label_predict: [147 189 477 671 768 780 813] label_predict: [147 189 378 671 768 780] label_predict: [ 79 147 189 671 738 780 813 1046 1059 1062 1092] label_predict: [ 147 156 189 418 541 542 813 949 1046 1072 1092] label_predict: [ 147 189 259 418 541 800 813 949 1046 1092] label_predict: [ 51 147 156 189 498 813 896 961 1092] label_predict: [ 147 189 194 671 813 1034 1046 1092] label_predict: [ 121 147 189 498 813 949 961 1092] label_predict: [ 13 405 896 903 1092]
4685it [01:52, 46.63it/s]
label_predict: [ 147 156 189 541 813 835 1092] label_predict: [ 147 156 189 612 671 780 813 1059 1092] label_predict: [ 99 304 718 813 961 1092] label_predict: [ 13 79 147 738 776 813 830 1046] label_predict: [ 13 51 147 744 813 1092] label_predict: [ 79 147 188 189 194 369 477 597 612 671 780] label_predict: [ 51 147 671 780 813 1059 1092] label_predict: [ 121 184 188 231 369 489 1039 1059] label_predict: [ 79 147 156 189 194 477 612 671 780 813 1046 1059 1092] label_predict: [ 79 156 194 227 489 584 671 780 954 1046 1059]
4695it [01:52, 46.96it/s]
label_predict: [ 79 147 189 477 671 780 1034 1035] label_predict: [ 99 161 498 718 813 896 961 1092] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 13 51 147 483 776 813 1046] label_predict: [369 438 726] label_predict: [ 13 51 147 813 896 903 1092] label_predict: [ 79 121 147 194 813 1059 1092] label_predict: [ 51 147 156 189 212 554 612 671 744 780 813 1059] label_predict: [ 79 189 194 477 671 780 813 1059 1092]
4706it [01:52, 45.52it/s]
label_predict: [ 51 111 147 189 813 1092] label_predict: [ 121 813 1059] label_predict: [ 51 76 79 147 156 189 227 498 671 813 961 1092] label_predict: [ 147 813 896 1092] label_predict: [ 51 147 156 189 369 436 671 720 780 1059] label_predict: [ 79 194 813 1059] label_predict: [ 147 156 189 813 835 1092] label_predict: [ 13 147 189 501 738 813 1092] label_predict: [ 51 147 738 813 1046 1092] label_predict: [ 147 156 189 259 418 541 542 813 949 1072 1092] label_predict: [ 121 369 1059]
4717it [01:52, 47.14it/s]
label_predict: [ 121 188 231 313 962 1039 1059] label_predict: [ 147 156 189 541 813 835 949 1092] label_predict: [ 75 147 189 554 612 655 744 811 813 896 903 1092] label_predict: [ 147 156 189 744 813 896 1092] label_predict: [ 13 830 1046] label_predict: [ 111 147 189 738 776 813 1046 1092] label_predict: [121 131 147 189 433 552 671 768 780] label_predict: [ 111 147 156 189 259 418 541 542 813 949 1046 1072 1092] label_predict: [ 147 156 369 436 1039 1059] label_predict: [ 79 147 189 194 552 639 671 780 1034]
4728it [01:52, 47.23it/s]
label_predict: [ 121 147 189 420 1059] label_predict: [ 51 111 147 156 189 671 780 813 896 1092] label_predict: [ 51 147 156 189 369 671 780 1022 1059] label_predict: [ 51 76 79 147 156 189 369 671 813 1059] label_predict: [ 79 121 194 813] label_predict: [ 13 147 189 554 744 813 896 903 1092] label_predict: [ 79 147 156 189 194 477 671 738 780 1034 1035 1046 1059] label_predict: [121 182 194 420 754 844] label_predict: [ 13 79 147 189 671 776 813 1046 1059 1092] label_predict: [ 51 79 147 156 189 227 339 477 612 671 780 813 1046 1059 1092]
4738it [01:53, 47.41it/s]
label_predict: [ 13 79 813 896 1092] label_predict: [ 121 147 189 597 768 1039] label_predict: [ 188 369 507 1039 1059] label_predict: [ 147 189 813 1092] label_predict: [ 13 51 147 189 552 626 671 780] label_predict: [ 51 79 147 156 584 671 780 813 1059 1062] label_predict: [ 51 147 189 813 896 903 1092] label_predict: [ 79 147 156 194 227 477 487 584 671 780 1059 1062] label_predict: [ 51 147 156 189 485 671 744 813 1099] label_predict: [ 51 147 156 189 813 1092]
4743it [01:53, 46.83it/s]
label_predict: [ 147 189 813 1092] label_predict: [121 304 744 813 903] label_predict: [ 13 147 189 813 896 1092] label_predict: [ 51 147 369 1059] label_predict: [ 13 51 147 189 698 718 813 896 903 1092] label_predict: [ 45 51 147 189 813 896 1092]
4754it [01:53, 34.20it/s]
label_predict: [ 131 147 189 378 671 768 780 1034] label_predict: [ 13 147 189 369 671 744] label_predict: [ 79 147 239 671 1059] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 51 147 156 189 227 584 671 780 813 1059 1092] label_predict: [ 147 189 194 671 813 1059 1092] label_predict: [ 51 147 369 744 813 1019 1059] label_predict: [ 79 147 156 189 498 813 961 1092] label_predict: [ 79 99 121 813 1059] label_predict: [ 13 51 147 189 813 896 903 1092]
4759it [01:53, 37.18it/s]
label_predict: [ 79 147 156 189 671 780 813 1034 1035] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 79 121 147 189 671 813 1059] label_predict: [ 25 161 487 813 1059 1092] label_predict: [ 147 156 189 369 586 587 766 833 1020 1039 1059 1084] label_predict: [ 147 189 194 671 780 1034] label_predict: [ 13 147 671 780 813 896 903 1092] label_predict: [ 51 147 156 184 369 586 587 766 1022 1039 1059] label_predict: [ 79 147 156 161 189 194 584 671 813 1059 1062 1092]
4770it [01:54, 41.02it/s]
label_predict: [ 13 477 670 813 975 1092] label_predict: [ 79 147 188 189 671 780 813 835 1092 1099] label_predict: [147 156 188 189 369 612 671 780 813] label_predict: [ 79 147 156 194 584 671 780 1059] label_predict: [ 147 188 189 744 813 835 1092 1099] label_predict: [ 51 99 161 304 774 1059] label_predict: [ 96 161 236 304 744 813 903 962] label_predict: [ 147 156 189 418 541 542 796 813 896 949 1072 1092] label_predict: [ 79 188 189 671 780 1034 1035] label_predict: [ 147 189 813 949 1092]
4780it [01:54, 43.29it/s]
label_predict: [ 13 147 552 626 671 780 1066] label_predict: [ 13 405 698 813 896 1092] label_predict: [ 79 147 188 189 477 597 639 671 780 1034 1035] label_predict: [ 13 405 896 903 1092] label_predict: [ 147 156 189 418 541 813 835 949 1092] label_predict: [ 111 147 156 189 259 418 541 813 1046 1092] label_predict: [147 156 189 369 415 464 487 552 624 684 738 754 872 925] label_predict: [ 79 194 487 671 1059 1062] label_predict: [ 51 147 189 501 738 813 1046 1092] label_predict: [ 51 79 147 156 189 369 671 780 1059]
4790it [01:54, 42.12it/s]
label_predict: [147 189 378 552 671 768 780] label_predict: [ 147 189 194 369 552 671 780 1034] label_predict: [ 13 51 147 552 626 671 716 780 813 1092] label_predict: [ 121 369 563 1034 1099] label_predict: [ 79 147 194 477 612 671 780 813 1059] label_predict: [ 147 156 189 259 418 541 813 1092] label_predict: [ 13 51 111 147 480 483 737 738 776 813 830 923 1046] label_predict: [ 369 438 726 1039] label_predict: [ 51 121 147 188 813 1059 1092]
4796it [01:54, 44.23it/s]
label_predict: [ 147 189 194 744 813 896 903 1092] label_predict: [ 79 147 189 498 718 813 1092] label_predict: [ 51 147 156 189 212 515 813 1059] label_predict: [ 147 188 671 780 1034] label_predict: [ 184 189 369 586 587 766 833 884 1020 1039 1059] label_predict: [ 121 184 433 464 962 1039 1059]
4807it [01:54, 39.82it/s]
label_predict: [ 147 189 552 597 671 768 780 1034 1035] label_predict: [ 147 189 796 813 896 949 1092] label_predict: [ 13 121 147 433 813] label_predict: [ 99 189 498 718 813 1092] label_predict: [ 51 147 156 189 612 671 744 813 903 1092] label_predict: [ 13 51 147 552 626 671] label_predict: [ 79 121 182 194 754 1039] label_predict: [ 147 189 554 744 813 896 903 1092] label_predict: [ 121 182 194 754 922 1039 1059] label_predict: [ 79 369 726 1084]
4818it [01:55, 42.97it/s]
label_predict: [ 13 813 1092] label_predict: [ 147 189 434 738 813 835 1092] label_predict: [ 147 189 418 663 718 800 813 835 1092] label_predict: [ 13 51 79 147 189 671 780 813 1046 1092] label_predict: [ 51 111 147 483 737 738 776 813 830 1046 1092] label_predict: [ 51 121 147 189 671 744 813 1034 1092] label_predict: [ 147 188 189 552 597 671 768 780 1034 1035] label_predict: [ 51 121 147 189 434 738 813] label_predict: [ 147 813 896 1046 1092] label_predict: [ 121 1059]
4828it [01:55, 45.25it/s]
label_predict: [ 147 156 189 369 436 720 1059] label_predict: [ 147 189 552 671 768 780 1034] label_predict: [ 33 99 313 420 738 813 835 962] label_predict: [ 99 182 304 634 754 922 1059] label_predict: [ 79 194 369 754 1039 1059] label_predict: [ 13 147 483 738 776 813 1046 1092] label_predict: [ 51 147 156 194 477 485 603 671 744 780 813 890 1092 1099] label_predict: [147 156 189 485 603 671 780] label_predict: [ 51 147 189 744 813 896 903 1092] label_predict: [ 121 434 501 813 1092]
4838it [01:55, 45.58it/s]
label_predict: [ 147 156 189 813 1059 1092] label_predict: [ 51 79 147 189 671 780 813 1059 1092] label_predict: [ 111 147 189 420 483 737 738 776 813 1046 1092] label_predict: [ 480 483 501 737 738 776 813 830 923 1046] label_predict: [313 420 738 813 962] label_predict: [ 13 477 671 780 813 896 1092] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 79 121 147 189 813 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 13 404 405 445 457 813 896 903 1092]
4844it [01:55, 46.46it/s]
label_predict: [ 121 147 189 204 304 813 903 1092] label_predict: [ 51 147 156 189 671 744 813 896 1092] label_predict: [ 13 147 189 744 813 896 903 1092] label_predict: [ 25 161 304 584 1059] label_predict: [ 13 147 671 780 813 1092] label_predict: [147 156 189 259 418 541 663 671 780 800 813 835 858] label_predict: [ 194 480 483 494 725 737 738 744 776 813 830 923 1046 1092 1099] label_predict: [ 147 189 369 552 597 671 780 1034 1035] label_predict: [ 79 147 156 189 813 835 1059 1092]
4854it [01:55, 44.37it/s]
label_predict: [ 121 188 671 724 813 1059 1092 1099] label_predict: [ 369 563 566 1034 1061 1099] label_predict: [ 13 79 194 1092] label_predict: [ 51 147 189 485 671 744 780 813 1092] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 51 121 147 189 552 671 768 780] label_predict: [ 13 79 121 184 962 1059] label_predict: [ 13 147 552 626] label_predict: [ 33 99 313 420 738 835 955 962]
4864it [01:56, 45.41it/s]
label_predict: [ 13 147 477 671 813 1092] label_predict: [ 147 189 671 780 1034] label_predict: [ 369 436 720 813 1019] label_predict: [ 147 156 189 259 418 541 542 579 813 835 949 1020 1072 1092] label_predict: [ 9 33 99 313 420 738 813 835 962] label_predict: [ 121 369 433 1039] label_predict: [ 51 147 189 430 434 559 666 813 1092] label_predict: [ 156 195 369 436 587 766 1020 1039 1059] label_predict: [ 79 147 189 194 597 671 780 1034 1035]
4874it [01:56, 44.14it/s]
label_predict: [ 147 189 671 780 1034] label_predict: [ 79 194 487 813 1059 1062] label_predict: [121 161 304 450 744 813 903] label_predict: [ 79 147 188 189 518 671 780 813 1034 1035] label_predict: [ 51 147 189 813 1092] label_predict: [ 121 813 1059 1092] label_predict: [ 25 161 194 487 813 1059 1092] label_predict: [121 369 726] label_predict: [ 147 156 189 259 733 734 813 993 1046 1092] label_predict: [1039 1059]
4880it [01:56, 45.49it/s]
label_predict: [ 147 188 189 194 671 813 1059 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 13 51 147 189 552 716] label_predict: [ 51 147 156 227 322 477 584 612 671 780 813 1059 1062 1092] label_predict: [ 13 51 127 147 552] label_predict: [ 79 121 369 489 1039 1059] label_predict: [ 79 147 156 189 369 671 1059] label_predict: [ 121 147 369 1059]
4890it [01:56, 39.53it/s]
label_predict: [ 147 189 369 373 597 671 768 780 1034 1035] label_predict: [ 51 147 189 813 1092] label_predict: [ 13 51 147 744 813 896 903 1092] label_predict: [ 99 161 304 718 813] label_predict: [ 13 147 813 896 1092] label_predict: [ 13 698 813 896 1092] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 111 147 189 480 483 501 737 738 776 813 830 923 1046] label_predict: [ 13 51 147 189 813] label_predict: [ 51 147 189 671 738 780 813 1034 1046 1092]
4900it [01:57, 42.93it/s]
label_predict: [ 156 189 259 541 813 835 993 1092] label_predict: [ 51 147 156 189 369 671 780 813 1092] label_predict: [ 147 156 189 259 418 541 813 835 949 1092] label_predict: [ 79 147 189 369 436 671 780 1034] label_predict: [ 147 156 189 418 541 671 744 780 796 813 835 903 949 1072 1092] label_predict: [ 147 189 259 418 800 813 835 1092] label_predict: [ 79 147 156 189 477 612 639 671 780 950 1034] label_predict: [ 13 14 147 552 626 671 780 1056] label_predict: [ 13 14 127 147 552 626 671 780 925 1010]
4910it [01:57, 38.89it/s]
label_predict: [ 147 156 189 420 733 813 835 1092] label_predict: [ 13 14 51 147 552 626 671 780] label_predict: [121 184 313 415 833 962] label_predict: [ 51 147 189 554 744 813 896 903 1092] label_predict: [ 121 415 872 961 1039] label_predict: [ 147 156 189 813 1059 1092] label_predict: [ 55 131 147 189 552 671 768 780] label_predict: [ 51 111 147 189 259 813 1046 1092]
4920it [01:57, 43.31it/s]
label_predict: [147 156 189 485 603 607 671 695 768 780 999] label_predict: [ 79 147 189 1059] label_predict: [121 433] label_predict: [ 33 121 420 582 738 813 962 1023] label_predict: [ 79 147 156 188 189 671 780 1034] label_predict: [ 51 147 189 430 434 501 559 615 621 622 649 738 744 747 813 871 1089] label_predict: [ 147 189 671 813 835 1092] label_predict: [ 13 147 744 813 896 903 1092] label_predict: [ 13 51 147 477 671 780 813 1092] label_predict: [ 147 189 655 671 813 1092] label_predict: [ 99 161 217 304 369 487 489 758 774 813 1059 1061]
4930it [01:57, 44.73it/s]
label_predict: [ 13 51 147 189 671 780 813 835 1092] label_predict: [ 51 111 147 156 189 212 369 586 1039 1059] label_predict: [ 79 147 189 671 780 1062] label_predict: [ 304 369 813 1059] label_predict: [ 13 51 147 189 738 813 1046 1092] label_predict: [ 99 189 498 718 813 961 1092] label_predict: [ 131 147 189 671 768 780 1034] label_predict: [ 13 51 147 189 813 896 903 1092] label_predict: [ 51 79 121 147 156 189 498 813 1059 1092] label_predict: [ 61 99 125 161 304 331 489 584 612 774 1059]
4940it [01:57, 45.76it/s]
label_predict: [ 51 147 156 189 671 780 813 961 1092] label_predict: [ 180 188 189 420 541 542 813 949 1092] label_predict: [ 147 189 813 1046 1092] label_predict: [ 13 51 147 189 671 813 1092] label_predict: [ 111 147 189 259 813 1046 1092] label_predict: [ 79 147 188 189 671 780 803 813 1092 1099] label_predict: [ 147 156 189 259 418 541 542 543 800 813 835 949 993 1072 1092] label_predict: [ 51 79 147 156 194 477 671 780 813 1046 1092] label_predict: [ 13 147 188 552 671 768 780] label_predict: [ 13 813 896 903 1092]
4951it [01:58, 47.09it/s]
label_predict: [ 13 51 147 156 189 626 813 1092] label_predict: [ 121 433 962 1034] label_predict: [ 121 180 420 498 813 1059 1092] label_predict: [ 51 111 147 156 189 813 835 1046 1092] label_predict: [147 189 304 369 450 558 744 813 903] label_predict: [ 51 147 189 813 1059 1092] label_predict: [ 99 161 304 718 813 961 1092] label_predict: [ 25 79 161 194 813 1059 1092] label_predict: [ 51 147 156 189 259 813 1092] label_predict: [ 147 189 612 744 813 903 1092]
4961it [01:58, 45.91it/s]
label_predict: [ 147 189 813 1092] label_predict: [ 147 194 671 780 1034] label_predict: [ 79 147 189 194 671 780 1034] label_predict: [ 147 189 369 587 766 1059 1084] label_predict: [ 79 147 1059] label_predict: [ 147 189 738 813 1046 1092] label_predict: [ 51 147 189 639 671 780 950] label_predict: [ 51 79 147 188 189 194 477 671 780 1034] label_predict: [ 13 698 813 896 1092] label_predict: [ 161 813 896 1059 1092]
4972it [01:58, 47.74it/s]
label_predict: [ 79 147 156 189 482 498 813 961 1092] label_predict: [ 13 79 477 671 780 813] label_predict: [ 13 51 147 744 813 896 903 1092] label_predict: [ 369 726 1039 1059] label_predict: [ 79 194 487 671 813 1059 1062] label_predict: [ 121 147 433 744 813 903 1092] label_predict: [ 79 147 156 189 369 436 671 813 1059 1092] label_predict: [121 161 304 464 634 754 813 872] label_predict: [ 121 125 304 369 464 1039] label_predict: [ 147 188 189 738 813 1059 1092] label_predict: [ 99 121 420 813 1059]
4977it [01:58, 39.45it/s]
label_predict: [ 13 51 111 147 480 483 737 738 776 813 830 1046 1092] label_predict: [ 147 189 538 616 655 671 744 813 1046 1092] label_predict: [ 13 51 147 813 1046] label_predict: [ 147 156 189 420 813 1092] label_predict: [ 147 189 369 373 597 671 768 780 1034 1035] label_predict: [ 483 737 738 776 813 830 1046 1092]
4987it [01:59, 42.35it/s]
label_predict: [ 13 51 147 189 813 896 1092] label_predict: [ 79 147 156 189 498 813 1059 1092] label_predict: [ 33 121 194 433 582 1023 1059] label_predict: [ 161 236 304 744 813 903 962 1092] label_predict: [ 51 147 189 813 896 1092] label_predict: [121 184 313 962] label_predict: [ 147 188 189 194 671 780 1034] label_predict: [ 51 147 189 430 434 501 559 744 813 1092] label_predict: [ 121 147 189 434 597 738 813 1092] label_predict: [ 147 189 744 813 903 1092]
4999it [01:59, 46.85it/s]
label_predict: [ 13 147 189 671 780 813 1034] label_predict: [ 99 161 304 718 813 961 1092] label_predict: [ 13 147 552 626 671 780] label_predict: [415 552 671 684 738 780 925] label_predict: [304 313 962] label_predict: [ 147 156 184 369 436 587 766 1020 1039 1059] label_predict: [313 813 903 962] label_predict: [ 99 304 369 884 1039] label_predict: [ 194 369 487 671 780 813 1059 1092] label_predict: [ 51 147 156 189 212 283 515 584 671 1059] label_predict: [ 99 121 498 718 813 961 1092]
5004it [01:59, 35.87it/s]
label_predict: [ 147 156 189 259 418 541 542 579 813 949 1072 1092] label_predict: [ 13 147 813 896 903 1092] label_predict: [121 147 189 768] label_predict: [ 13 127 147 552 671 780] label_predict: [ 147 189 418 541 813 835 949 1092]
5009it [01:59, 36.49it/s]
label_predict: [ 147 156 189 259 418 541 800 813 835 1092] label_predict: [ 79 147 671 780 1059] label_predict: [ 51 147 189 738 776 813 1046 1092] label_predict: [ 51 161 189 813 1059 1062 1092] label_predict: [ 147 189 194 671 768 780 1034 1035] label_predict: [ 483 494 737 738 776 813 1033 1046] label_predict: [ 13 51 147 813 896 1092] label_predict: [ 29 147 156 188 189 418 541 542 671 733 744 813 835 1092 1099]
5019it [01:59, 40.58it/s]
label_predict: [ 51 147 430 501 813 961 1046 1092] label_predict: [ 79 147 671 780 813 1046 1092] label_predict: [ 79 194 487 758 1059 1062] label_predict: [ 51 79 147 156 227 322 477 489 584 612 671 780 954 1059] label_predict: [ 13 51 147 552 671 716 780] label_predict: [ 147 189 718 813 896 1092] label_predict: [ 13 51 147 369 436 552 671 780] label_predict: [ 13 51 147 189 813 1092] label_predict: [ 13 147 744 813 896 903 1092] label_predict: [ 13 79 147 671 780 813 1046 1092]
5024it [01:59, 42.83it/s]
label_predict: [ 13 156 189 300 369 587 726 766 1020 1059 1084] label_predict: [161 304 369 464 634 872] label_predict: [ 13 51 147 189 813 896 903 1092] label_predict: [ 147 156 189 259 813 835 1092] label_predict: [ 51 111 147 156 189 212 369 586 1039 1059] label_predict: [ 51 147 156 189 485 813 1092]
5034it [02:00, 38.73it/s]
label_predict: [ 121 369 597 1039] label_predict: [ 13 147 813 896 1092] label_predict: [ 147 161 189 204 306 511 634 813 872 903 1092] label_predict: [ 147 189 718 800 813 835 1092] label_predict: [ 13 14 127 147 552 555 626 671 716 780] label_predict: [ 51 147 188 189 813 1059 1092] label_predict: [ 147 189 554 744 813 896 903 1092] label_predict: [ 13 51 111 147 189 738 813 1046 1092] label_predict: [ 147 189 671 780 813 1034 1046 1092] label_predict: [ 51 147 189 580 738 813 835 1046 1092]
5044it [02:00, 35.17it/s]
label_predict: [ 51 111 147 189 616 813 1046 1092] label_predict: [ 79 121 147 189 194 369 813 844 1092] label_predict: [ 131 147 189 552 671 768 780 1034] label_predict: [ 79 147 156 189 436 744 813 903 1059 1092] label_predict: [ 121 161 304 813 961 1092] label_predict: [ 147 188 194 813 1046 1059 1092]
5054it [02:00, 39.33it/s]
label_predict: [ 147 156 189 259 418 541 542 800 813 835 949 1072 1092] label_predict: [107 147 156 165 188 189 477 489 554 612 671 780 813 835] label_predict: [ 51 79 147 156 189 477 612 671 780 813 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 147 161 189 204 304 1020 1059] label_predict: [ 147 189 434 738 813 835 949 1092] label_predict: [ 147 156 189 259 418 541 542 813 835 949 1072 1092] label_predict: [ 111 147 156 189 259 813 835 1092] label_predict: [ 79 194 487 671 1059 1062] label_predict: [ 121 433 552 1039 1059]
5064it [02:00, 43.54it/s]
label_predict: [ 51 147 189 718 813 896 903 1092] label_predict: [ 147 156 189 369 436 813 1059 1092] label_predict: [ 13 14 51 147 552 626 671 780 976 1056] label_predict: [ 51 147 156 189 813 835 1092] label_predict: [ 13 51 147 813 896 1092] label_predict: [156 189 485 603 671 695 780] label_predict: [ 51 111 147 156 189 671 813 835 1046 1092] label_predict: [ 147 189 420 813 1092] label_predict: [ 13 369 552 716 872 1059] label_predict: [ 13 147 813 896 903 1092]
5069it [02:01, 44.59it/s]
label_predict: [ 51 99 121 161 304 433 718 724 813 961 1059 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 51 111 147 156 189 738 813 1046 1092] label_predict: [ 13 405 896 903 1092] label_predict: [ 121 147 304 1059] label_predict: [ 13 477 552 813] label_predict: [ 51 121 147 189] label_predict: [ 13 147 189 813 896 903 1092]
5079it [02:01, 42.88it/s]
label_predict: [ 147 189 597 671 768 780 1034 1035] label_predict: [ 121 147 369 436 1059] label_predict: [ 147 189 813 835 1092] label_predict: [ 13 147 189 369 436 552 671 720 780] label_predict: [ 79 147 189 813 1059 1092] label_predict: [ 147 189 813 1092] label_predict: [ 13 14 51 147 552 626 671 780] label_predict: [ 51 147 156 189 369 671 780] label_predict: [ 13 51 147 189 813 1046 1092] label_predict: [ 51 111 147 189 420 733 738 776 813 1046 1092]
5090it [02:01, 45.96it/s]
label_predict: [ 161 304 369 487 489 758 1059] label_predict: [ 13 51 121 127 147 189 289 369 552 671 738 754 780] label_predict: [ 13 14 51 147 552 626 671 716 780 1056] label_predict: [ 99 121 161 304 487 718 813 1059] label_predict: [ 147 189 663 718 813 896 903 1092] label_predict: [ 147 813 896 1092] label_predict: [ 131 147 189 671 768 780 1034] label_predict: [ 99 121 161 304 718 813 1059 1092] label_predict: [ 3 9 11 15 17 19 20 26 29 36 39 41 44 48 51 52 56 58 60 61 67 72 73 76 85 90 101 105 107 111 115 116 120 127 139 140 141 147 151 154 155 156 160 163 164 165 167 169 175 177 178 188 189 191 194 198 200 206 207 209 212 214 218 227 229 231 241 244 253 256 258 260 262 266 268 269 275 281 284 285 294 297 300 303 306 307 314 315 322 326 333 337 343 346 348 358 365 369 375 378 379 385 390 393 394 399 408 413 415 422 424 431 435 437 441 443 444 449 450 451 454 460 461 466 467 473 474 475 477 485 488 489 490 495 499 510 511 514 516 518 522 523 527 538 540 542 546 548 549 551 552 555 558 564 568 570 572 573 576 579 581 584 585 592 597 598 601 612 616 617 624 630 633 636 638 639 640 642 643 648 651 654 655 659 660 667 668 671 676 678 679 682 684 692 697 705 709 710 717 721 736 738 741 745 748 754 755 759 760 762 763 769 772 773 777 780 793 795 799 800 809 813 815 820 822 824 825 836 837 841 843 844 851 855 856 858 860 861 867 868 869 870 872 874 876 877 880 883 887 889 890 901 903 904 906 907 917 918 921 925 926 929 936 941 942 943 946 947 948 952 953 955 958 961 967 968 971 983 985 996 997 998 999 1000 1008 1011 1012 1017 1024 1027 1034 1037 1041 1046 1050 1057 1062 1063 1064 1065 1067 1068 1070 1077 1078 1086 1091 1095 1098] label_predict: [ 79 194 354 369 489 671 780 1059]
5100it [02:01, 45.31it/s]
label_predict: [ 79 156 184 194 489 584 671 780 954 1059] label_predict: [ 51 147 156 189 369 477 612 671 780 1034] label_predict: [ 121 188 1039 1059] label_predict: [ 79 121 487 758 1059 1062] label_predict: [ 13 51 147 156 189 813 1046 1092] label_predict: [ 79 121 194 498 1059 1062] label_predict: [ 111 131 147 156 189 420 477 671 738 780 813 1046 1092] label_predict: [ 51 111 147 189 420 480 483 501 737 738 776 813 1046 1092] label_predict: [ 79 147 189 671 780 1034]
5110it [02:01, 46.67it/s]
label_predict: [ 13 51 111 147 483 501 737 738 776 813 1046 1092] label_predict: [ 13 51 147 189 813 896 903 1092] label_predict: [ 79 184 194 487 1059 1062] label_predict: [ 13 51 147 189 813 896 1092] label_predict: [ 79 147 156 227 612 671 780 813 1092] label_predict: [ 51 147 189 813 896 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 79 147 156 194 487 671 780 813 1059 1062] label_predict: [ 99 161 189 304 718 813 961 1092] label_predict: [ 99 161 304 718 774 813 1061]
5120it [02:02, 46.70it/s]
label_predict: [ 188 189 194 369 671 780 1034] label_predict: [ 9 33 99 313 420 738 813 835 962] label_predict: [ 79 121 147 189 194 369 671] label_predict: [ 13 51 147 189 430 434 480 483 501 545 559 738 931] label_predict: [ 188 489 612 671 1059] label_predict: [ 51 147 156 189 212 515 671 780 1059] label_predict: [ 51 147 194 813 1046 1092] label_predict: [ 13 147 430 434 501 559 813 1092] label_predict: [ 147 189 671 780 813 835 1092] label_predict: [ 13 51 147 434 813]
5130it [02:02, 47.11it/s]
label_predict: [ 13 405 813 896 1092] label_predict: [ 79 194 487 1059 1062] label_predict: [ 51 147 189 430 434 559 747 813 1092] label_predict: [ 121 1059] label_predict: [147 156 189 485 603 607 671 695 780] label_predict: [ 13 121 433 552 671 780] label_predict: [ 718 813 896 903 1092] label_predict: [ 99 121 188 369 433 464 718 774 813 1039 1059] label_predict: [ 79 121 182 194 1059 1062] label_predict: [ 51 111 147 189 259 813 1046 1092]
5140it [02:02, 46.39it/s]
label_predict: [ 51 79 147 156 194 477 584 612 671 780 813 1059 1092] label_predict: [ 147 189 744 813 896 903 1092] label_predict: [ 111 147 156 189 477 671 780 813 835 1092] label_predict: [ 483 737 738 776 813 1046 1092] label_predict: [ 79 194 477 671 780 1034 1046 1099] label_predict: [ 194 813 1046 1092] label_predict: [ 121 147 626 671 724 813 1092] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 51 147 434 615 744 813 896 1092] label_predict: [ 147 189 813 835 1092]
5150it [02:02, 46.11it/s]
label_predict: [ 51 147 189 744 813 903 1092] label_predict: [ 79 147 189 194 477 597 612 671 744 780 813 1034 1046] label_predict: [ 79 161 194 487 813 1059 1092] label_predict: [ 147 189 813 1092] label_predict: [ 51 147 189 813 835 1092] label_predict: [ 79 147 184 189 369 487 833 1059] label_predict: [ 79 121 194 671 813 844] label_predict: [ 13 405 813 896 903 1092] label_predict: [ 79 147 189 194 655 671 780 813 1092] label_predict: [ 121 433 464 1039 1059]
5160it [02:03, 46.28it/s]
label_predict: [ 13 147 813 896 903 1092] label_predict: [ 121 184 369 587 766 833 884 1039 1059] label_predict: [ 79 147 189 335 639 671 780 925 1034 1035] label_predict: [ 111 147 189 420 483 733 738 776 813 1046 1092] label_predict: [ 147 156 189 259 418 541 813 835 1092] label_predict: [ 13 51 147 813 1092] label_predict: [ 79 147 156 189 487 671 780 1059 1062] label_predict: [ 111 147 189 480 483 501 737 738 776 813 931 975 1046 1092] label_predict: [ 121 369 450 558 582 744 1023 1061 1099] label_predict: [ 79 147 156 194 477 487 489 584 671 780 813 1059 1062]
5170it [02:03, 45.95it/s]
label_predict: [ 79 147 156 189 671 780 813 1046 1059 1062 1092] label_predict: [ 13 813 1092] label_predict: [ 51 79 121 147 189 194 813 1059 1092] label_predict: [161 304 369 634 813 872] label_predict: [ 13 51 147 189 552 626] label_predict: [ 147 156 189 671 738 813 1059 1092] label_predict: [ 79 121 369 1059] label_predict: [ 79 194 738 813 1059 1062] label_predict: [ 13 14 51 147 552 626 716 780]
5180it [02:03, 45.73it/s]
label_predict: [ 147 156 189 744 813 896 903 1092] label_predict: [147 189 485 671 780] label_predict: [ 13 51 147 156 671 780 813 1092] label_predict: [ 79 121 1059] label_predict: [ 51 79 147 156 489 584 612 671 744 1059] label_predict: [ 13 147 189 369 552 626 671 780] label_predict: [ 79 194 487 1059 1062] label_predict: [ 147 156 189 259 418 541 542 579 813 835 949 1072 1092] label_predict: [ 147 156 189 671 744 780 813 903 1092] label_predict: [ 79 147 188 813 1059 1092]
5190it [02:03, 47.02it/s]
label_predict: [ 79 121 194 304 487 809 813 1059 1062] label_predict: [ 13 51 147 189 813 1092] label_predict: [ 13 51 147 189 813 896 1092] label_predict: [ 13 51 147] label_predict: [ 51 147 189 434 519] label_predict: [ 13 51 147 477 671 780] label_predict: [ 13 813 872 896 903 1092] label_predict: [ 25 121 161 304 718 813 962 1059] label_predict: [ 147 156 189 744 813 835 1092] label_predict: [ 2 13 16 17 19 22 24 29 31 37 39 45 48 52 54 62 74 76 78 79 80 84 89 90 92 93 94 98 101 111 115 116 117 120 121 123 127 130 132 133 144 152 158 161 166 167 171 176 179 181 189 191 199 200 203 205 206 226 229 232 236 238 239 241 242 245 247 256 257 264 266 269 272 274 275 278 279 280 281 282 283 284 286 289 294 296 299 303 304 306 307 311 313 315 317 320 332 334 335 337 341 342 343 344 346 347 350 353 356 359 365 367 368 374 383 389 397 398 402 403 404 410 415 418 419 422 424 425 431 433 443 451 458 464 465 466 469 470 471 473 475 486 487 492 493 501 506 512 513 522 533 536 537 543 544 547 549 555 559 562 563 566 568 569 571 575 581 582 587 589 590 592 596 597 598 600 602 605 606 607 611 617 620 624 635 638 640 641 646 650 651 652 653 654 658 660 665 669 670 671 675 677 681 682 684 691 693 694 695 698 700 702 704 705 707 708 712 714 715 718 722 724 733 735 741 742 743 744 745 748 749 752 756 766 774 776 777 781 792 793 796 797 799 807 808 815 817 819 822 825 828 829 834 837 838 841 844 851 860 862 864 869 872 874 875 879 880 882 894 900 901 902 906 908 909 910 912 920 925 927 928 931 932 937 938 939 941 944 947 949 954 955 958 965 967 968 973 978 984 987 989 990 991 993 996 1001 1002 1007 1009 1010 1013 1015 1017 1023 1024 1025 1026 1030 1032 1034 1037 1039 1041 1043 1048 1050 1052 1054 1055 1059 1062 1064 1065 1075 1078 1079 1081 1082 1083 1084 1086 1088 1095 1098 1099 1101]
5200it [02:03, 47.75it/s]
label_predict: [ 99 121 161 304 489 774 1059] label_predict: [ 79 194 420 813 844] label_predict: [ 51 147 156 189 541 542 813 1046 1092] label_predict: [ 99 161 217 236 304 718 774 813 1059 1061] label_predict: [ 114 121 217 236 304 369 1039 1059 1061] label_predict: [ 51 147 156 189 212 671 780 813 1059 1092] label_predict: [ 369 420 754 1059] label_predict: [ 121 304 369 1039 1059] label_predict: [ 51 147 189 813 1092] label_predict: [ 51 147 156 212 369 586 766 833 1039 1059]
5210it [02:04, 46.43it/s]
label_predict: [ 121 369 726 1039] label_predict: [ 121 1059] label_predict: [ 79 182 194 754 844] label_predict: [ 13 51 147 552 626 671 780] label_predict: [ 147 189 378 671 768 780 1034] label_predict: [ 483 501 516 519 737 738 813 993 1033 1046] label_predict: [ 51 111 147 813 1046 1092] label_predict: [ 121 813 1059] label_predict: [ 79 147 156 188 189 420 477 671 733 780 813 835 1046 1092 1099] label_predict: [ 79 121 813 961 1059 1062 1092]
5215it [02:04, 46.92it/s]
label_predict: [ 313 420 813 903 962 1092] label_predict: [ 147 189 418 800 813 835 1092] label_predict: [ 147 156 189 420 671 813 835 1092] label_predict: [ 13 51 147 189 813 896 1092] label_predict: [ 13 51 147 189 813 1092] label_predict: [ 13 14 127 147 369 552 555 626 671 716 780 1066] label_predict: [ 51 147 1039 1059] label_predict: [ 51 147 189 813 835 1092] label_predict: [ 79 161 194 304 487 1059] label_predict: [ 51 147 188 189 369 477 597 639 671 744 780 950 1034 1035]
5226it [02:04, 47.73it/s]
label_predict: [ 51 147 189 813 896 1092] label_predict: [ 51 147 188 189 369 671 780 813 1034 1059 1092] label_predict: [ 99 161 304 331 351 718 813 961 1092] label_predict: [ 51 147 189 194 744 813 1092] label_predict: [ 147 189 813 835 1092] label_predict: [ 51 147 189 212 671 720 744 780 813] label_predict: [ 147 813 896 1092] label_predict: [ 147 156 189 259 418 541 813 835 1092] label_predict: [ 13 14 51 147 552 626 671 780 1056] label_predict: [ 13 445 477 655 813 896 903 1092]
5236it [02:04, 47.09it/s]
label_predict: [ 51 147 332 369 436 671 744 780 813 1019] label_predict: [ 147 189 194 671 744 780 813 896 903 1092] label_predict: [ 13 51 147 552 626] label_predict: [ 147 189 259 813 835 1092] label_predict: [ 79 369 586 1039] label_predict: [ 121 189 194 420 1059] label_predict: [ 121 369 1039 1059] label_predict: [ 13 51 147 369 552 626 671 780] label_predict: [ 147 189 552 597 671 780 1034] label_predict: [ 51 99 161 304 718 813 961 1092]
5246it [02:04, 46.04it/s]
label_predict: [147 188 189 369 436 597 671 744 780] label_predict: [ 13 51 111 147 189 434 480 483 501 545 559 737 738 813 931 1046] label_predict: [ 13 121 147 1046] label_predict: [ 13 51 147 189 813 1092] label_predict: [ 121 147 188 189 597 671 744 813 1034 1035] label_predict: [ 51 147 156 189 477 671 780 813 835 1092] label_predict: [ 13 121 188 369 552 1039 1059] label_predict: [ 156 189 259 418 420 541 663 733 800 813 835 993 1084 1092] label_predict: [ 51 79 147 156 189 369 671 780 813 1059 1092]
5257it [02:05, 48.47it/s]
label_predict: [ 147 189 813 1092] label_predict: [ 51 79 189 487 498 671 813 1059 1062] label_predict: [ 79 99 121 489 1059] label_predict: [ 79 99 147 189 498 718 813 961 1092] label_predict: [ 79 147 156 189 498 671 813 1059 1062 1092] label_predict: [ 79 147 156 194 671 780 813 1059 1062] label_predict: [ 79 147 189 498 813 961 1092] label_predict: [ 79 99 304 487 489 758 1059] label_predict: [ 79 182 184 188 231 313 464 754 962 1039 1059] label_predict: [ 147 156 189 430 434 501 559 738 813 835 1092] label_predict: [ 51 147 189 430 434 559 813 1092]
5267it [02:05, 46.36it/s]
label_predict: [ 13 51 147 194 671 813 1092] label_predict: [ 13 51 147 716 813 896 903 1092] label_predict: [ 79 194 671 1059] label_predict: [ 13 79 1059] label_predict: [ 111 147 189 259 418 541 800 813 835 1046 1092] label_predict: [ 99 121 125 161 304 487 718 1059] label_predict: [ 79 194 477 671 780 1034 1046 1059] label_predict: [ 51 147 189 616 733 813 952 1092] label_predict: [ 121 188 231 313 369 464 507 1039 1059 1085] label_predict: [ 188 239 489 612 754 1059]
5277it [02:05, 47.11it/s]
label_predict: [ 79 147 156 189 194 671 813 1059 1092] label_predict: [ 25 161 194 584 734 758 813 953 1059 1062 1092] label_predict: [ 147 189 612 655 671 744 811 813 835 903 1092] label_predict: [ 3 9 11 15 17 19 20 25 26 29 36 41 44 48 51 52 56 58 60 61 67 73 76 85 90 101 105 107 111 115 116 117 119 120 127 140 141 147 151 154 155 156 160 161 163 164 165 167 169 175 177 178 188 189 191 194 198 200 206 207 209 212 214 218 229 231 236 241 244 253 256 258 260 266 268 269 275 281 284 285 294 297 300 303 306 307 314 315 317 322 333 337 343 346 365 369 375 376 378 379 385 390 393 394 399 408 412 413 415 422 424 431 435 437 440 441 443 444 449 450 451 454 460 461 466 467 473 474 475 477 485 489 490 495 499 510 511 514 516 518 522 523 538 540 542 546 548 549 551 552 555 558 564 570 572 573 579 581 584 585 592 597 598 601 612 616 617 624 630 636 638 640 642 643 648 651 654 655 659 660 667 668 671 678 679 682 684 692 697 705 709 710 714 717 721 736 738 741 745 748 754 755 759 760 762 763 769 772 773 777 780 793 795 797 799 800 809 813 815 820 822 824 825 836 837 841 843 844 851 855 856 858 860 861 867 868 869 870 872 874 876 877 880 883 887 889 901 903 904 906 907 912 917 918 921 925 926 929 936 941 942 943 946 947 948 952 953 955 958 961 967 968 971 996 997 998 999 1000 1008 1011 1012 1017 1024 1027 1034 1037 1041 1046 1050 1057 1063 1064 1065 1067 1068 1070 1078 1086 1091 1092 1095 1098 1100] label_predict: [ 147 156 189 259 418 541 542 579 753 813 949 993 1072 1092] label_predict: [ 13 194 480 483 494 725 737 738 744 776 813 826 830 923 1046 1092] label_predict: [ 79 147 156 189 194 477 639 671 780 950 1034 1035 1046] label_predict: [ 51 147 156 189 369 612 671 780 1059] label_predict: [ 51 111 147 189 483 738 776 813 1046 1092] label_predict: [ 121 147 189 433 718 813 903 1092]
5287it [02:05, 45.27it/s]
label_predict: [ 79 147 156 1059] label_predict: [ 147 189 194 671 738 780 813 1034 1046 1059] label_predict: [ 51 147 189 744 813 896 1092] label_predict: [ 79 121 184 194 369 1023 1059] label_predict: [ 79 147 156 813 1059 1062] label_predict: [ 51 111 147 189 259 616 733 734 813 993 1046 1092] label_predict: [ 79 194 369 813 1059 1099] label_predict: [ 51 76 147 189 813 961 1059 1092] label_predict: [ 79 147 189 597 671 780 813 1034]
5297it [02:05, 44.96it/s]
label_predict: [ 13 405 896 903 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 67 156 171 189 223 245 300 337 355 368 369 554 587 726 766 1020 1059 1084] label_predict: [ 180 188 231 420 428 615 733 738 744 750 803 813 832 890 911 1092 1099] label_predict: [ 718 813 1059 1092] label_predict: [ 79 147 612 671] label_predict: [ 13 51 147 189 813 903 1092] label_predict: [ 51 111 147 189 616 733 813 1046 1092] label_predict: [ 51 79 121 147 156 189 482 497 498 813 961 1092]
5302it [02:06, 43.43it/s]
label_predict: [ 147 189 434 738 813 835 1092] label_predict: [ 51 147 156 189 212 283 515 671 780 813 1059 1092] label_predict: [ 147 189 194 671 780 1034] label_predict: [ 147 189 612 655 671 744 780 813 903 1092] label_predict: [ 51 147 194 813 1092] label_predict: [ 51 147 189 369 597 671 780 1034 1035] label_predict: [ 51 147 156 189 671 780 813 1059 1062]
5312it [02:06, 40.14it/s]
label_predict: [ 156 180 188 189 744 750 803 813 1099] label_predict: [ 147 189 671 780 950 1034] label_predict: [125 161 204 304 634 872] label_predict: [ 51 147 156 189 212 671 780 813 1059 1092] label_predict: [ 147 156 189 541 813 1092] label_predict: [ 161 304 487 1059] label_predict: [ 18 25 161 194 331 423 425 444 534 584 611 642 707 722 734 738 751 758 797 800 813 897 953 974 993 1059 1092] label_predict: [ 70 147 189 418 663 800 813 835 1092] label_predict: [ 13 14 51 147 552 626 671 780 1056]
5322it [02:06, 38.41it/s]
label_predict: [121 147 552] label_predict: [ 13 477 671 780 813 1092] label_predict: [ 13 147 813 872 896 1092] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 13 147 189 552 671 768 780] label_predict: [ 121 433 1034 1039] label_predict: [ 147 156 189 194 489 612 671 744 780 813 903 1059 1092] label_predict: [ 13 51 121 147 434 813]
5327it [02:06, 39.35it/s]
label_predict: [ 79 156 189 194 487 624 671 780 1059 1062] label_predict: [ 147 615 813 896 1092] label_predict: [ 13 147 182 189 813 1092] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 79 304 487 671 1059] label_predict: [ 147 189 194 477 655 671 744 780 813 1092] label_predict: [ 51 147 156 189 612 671 780 903 1059] label_predict: [ 79 184 487 1059 1062] label_predict: [ 79 147 156 189 671 780 813 1046 1092]
5337it [02:06, 39.91it/s]
label_predict: [ 51 79 147 156 189 482 497 498 813 949 961 1092] label_predict: [ 13 147 189 369 552 626 671 780 1034] label_predict: [ 51 147 156 189 477 485 671 780] label_predict: [ 147 813 896 1092] label_predict: [ 13 51 147 552 671 780] label_predict: [ 13 131 147 189 552 671 768 780] label_predict: [ 79 147 188 189 194 477 671 780 1034 1035] label_predict: [ 194 404 744 813 896 1092]
5346it [02:07, 38.38it/s]
label_predict: [ 13 111 147 483 737 738 776 813 1046] label_predict: [ 51 147 189 813 896 1092] label_predict: [ 51 111 147 189 480 483 501 737 738 776 813 1046] label_predict: [ 79 147 188 189 477 612 671 780 813 835] label_predict: [121 813 962] label_predict: [ 51 121 147 433 434 813 1059] label_predict: [ 51 147 189 813 903 1092] label_predict: [ 147 188 189 498 738 813 1092]
5356it [02:07, 39.85it/s]
label_predict: [ 99 121 498 718 813 896 1092] label_predict: [ 79 147 156 189 194 477 671 780 1034] label_predict: [ 13 51 147 552 626] label_predict: [ 51 79 147 156 189 487 671 813 961 1059 1062 1092] label_predict: [ 13 147 189 477 671 780 813 1092] label_predict: [ 51 147 189 212 554 612 744 746 813 889 903 1080 1092] label_predict: [ 13 51 147 189 813 1046 1092] label_predict: [ 194 477 671 738 744 780 813 1046 1092] label_predict: [ 51 147 738 813 1046 1092]
5361it [02:07, 39.82it/s]
label_predict: [ 13 147 813 896 1092] label_predict: [ 51 147 156 189 259 420 738 813 835 1046 1092] label_predict: [ 51 79 147 156 189 369 671 813 1059 1092] label_predict: [ 147 156 189 744 813 835 1092] label_predict: [ 13 79 147 477 671 780 813 1024 1092] label_predict: [ 147 813 896 1092] label_predict: [ 79 194 369 482 487 498 813 1059 1062] label_predict: [ 79 147 189 671 780 813 835 1046 1092]
5370it [02:07, 40.26it/s]
label_predict: [ 33 121 582 738 813 962 1023 1059 1092] label_predict: [ 121 1034] label_predict: [ 121 1059] label_predict: [ 79 116 121 161 194 304 415 487 724 758 1059] label_predict: [ 51 147 156 189 283 813 1059 1092] label_predict: [ 13 404 445 477 655 813 896 903 1092] label_predict: [ 79 99 304 369 1059 1061] label_predict: [ 111 147 480 483 501 737 738 776 813 830 923 931 1046] label_predict: [ 147 182 813 1059 1092] label_predict: [ 51 147 156 189 212 671 780 813 1059]
5381it [02:08, 44.53it/s]
label_predict: [ 147 194 404 813 1020 1092] label_predict: [121 304 415 724 922 955 962] label_predict: [ 51 147 194 404 744 813 1020 1092 1099] label_predict: [ 79 194 1059] label_predict: [ 79 147 156 189 194 671 813 1059 1092] label_predict: [ 121 147 189 813 1092] label_predict: [ 147 189 434 597 813 835 1092] label_predict: [ 99 121 304 718 813 1092] label_predict: [ 51 147 156 189 212 369 671 813 1059 1092] label_predict: [ 79 147 671 776 780 813 1034 1046]
5391it [02:08, 45.92it/s]
label_predict: [ 13 14 51 147 552 626 671 780 1056] label_predict: [ 111 147 189 259 738 776 813 1046 1092] label_predict: [ 111 147 189 434 480 483 501 737 738 776 813 1046] label_predict: [121 161 204 304 415 450 464 634 872] label_predict: [ 51 111 147 156 189 259 541 813 1046 1092] label_predict: [ 79 121 194 754 1039 1059] label_predict: [ 79 121 194 813 844] label_predict: [ 13 79 147 194 369 813] label_predict: [ 51 147 156 189 671 813 1059 1092] label_predict: [ 13 147 813 896 1092]
5401it [02:08, 41.82it/s]
label_predict: [ 194 369 813 872 1092] label_predict: [ 51 121 147 189 671] label_predict: [ 13 405 896 903 1092] label_predict: [ 79 194 487 624 671 1059 1062] label_predict: [ 121 194 282 369 420 489 1059] label_predict: [ 147 156 189 813 835 1092] label_predict: [ 13 147 813 1092] label_predict: [ 99 121 369 718 813 1059 1092]
5412it [02:08, 45.45it/s]
label_predict: [ 121 147 1039 1059] label_predict: [ 111 147 189 813 1046 1092] label_predict: [ 99 161 304 718 813 961 1092] label_predict: [ 51 121 147 776 813 1046 1092] label_predict: [ 51 147 156 212 369 671 744 780 813 889 1059 1080 1092] label_predict: [ 147 189 313 718 744 813 903 962 1092] label_predict: [ 147 156 189 259 418 541 813 1092] label_predict: [ 13 14 147 369 552 626 671 780 1034] label_predict: [ 79 125 304 354 369 754 922 1059] label_predict: [ 79 156 194 487 671 813 961 1059 1062]
5417it [02:08, 46.39it/s]
label_predict: [ 13 14 51 147 552 626 671 780 1056] label_predict: [ 79 184 194 369 489 584 1059] label_predict: [ 51 121 147 189 671 780 1059] label_predict: [ 147 156 189 418 541 542 543 796 813 835 940 949 1072 1092] label_predict: [ 13 189 405 896 903 1092]
5428it [02:09, 35.46it/s]
label_predict: [ 147 189 373 597 671 768 1034 1035] label_predict: [ 51 147 156 188 189 231 428 615 744 803 813 832 1092 1099] label_predict: [ 13 147 813 1046 1092] label_predict: [ 79 147 189 477 671 780 813 1034 1046] label_predict: [ 18 51 61 161 304 331 489 584 612 774 813 1059] label_predict: [ 147 189 482 498 813 961 1092] label_predict: [121 147 161 189 204 304 450 558 872] label_predict: [ 79 147 188 189 813 1059] label_predict: [ 147 194 813 1046 1092] label_predict: [ 13 51 147 813 1046 1092] label_predict: [ 188 487 647 758 1059]
5433it [02:09, 35.53it/s]
label_predict: [ 147 189 194 671 768 780 1034] label_predict: [ 13 51 147 156 813 896 1092] label_predict: [ 13 121 147 552] label_predict: [ 13 51 147 369 552 671 675 978] label_predict: [ 147 189 378 671 768 1034] label_predict: [ 99 161 304 718 813 961 1092] label_predict: [ 13 51 147 189 813 1046 1092] label_predict: [ 121 369 552 1039] label_predict: [ 147 156 189 418 541 542 744 796 813 896 949 1072 1092]
5443it [02:09, 39.04it/s]
label_predict: [ 147 189 369 639 671 780 813 1034 1035] label_predict: [ 147 156 189 259 418 541 813 835 1046 1092] label_predict: [ 79 121 147 189 194 369 671 780 833 1034] label_predict: [ 13 121 552 1039] label_predict: [ 79 313 738 962] label_predict: [ 13 147 552] label_predict: [ 51 111 147 189 813 896 903 1092] label_predict: [ 70 147 189 418 813 835 1046 1092] label_predict: [ 51 79 147 189 369 477 639 671 738 780 813 1034 1046 1059 1092]
5453it [02:09, 42.72it/s]
label_predict: [ 18 25 61 161 331 584 734 758 813 953 1059 1092] label_predict: [121 147 304 369 558 903] label_predict: [ 79 121 194 1059] label_predict: [ 121 147 189 433 436 813 1039 1059] label_predict: [ 51 147 189 813 1092] label_predict: [ 51 147 671 780 1059] label_predict: [ 99 121 161 304 489 1039 1059] label_predict: [ 51 147 156 188 744 803 813 1092 1099] label_predict: [ 147 156 189 259 418 541 813 835 1092] label_predict: [ 483 494 501 676 725 737 738 776 813 830 923 924 931 1033 1046]
5463it [02:10, 44.59it/s]
label_predict: [ 51 147 189 194 744 813 1092] label_predict: [ 13 194 477 483 738 776 813 830 1046 1092] label_predict: [ 147 369 1059] label_predict: [ 51 111 147 189 483 573 737 738 776 813 830 1046 1092] label_predict: [ 70 147 189 418 800 813 1092] label_predict: [ 51 147 189 744 813 896 903 1092] label_predict: [ 147 189 378 671 768 780 1034] label_predict: [ 79 147 156 188 477 597 612 639 671 780 813 950 1046 1092] label_predict: [ 79 121 498 813 961] label_predict: [ 13 51 147 813 896 1092]
5474it [02:10, 45.89it/s]
label_predict: [ 147 189 418 663 813 835 1092] label_predict: [ 147 156 189 259 418 485 541 542 813 835 1020 1092] label_predict: [ 147 156 189 259 418 541 813 835 1092] label_predict: [ 79 99 125 161 304 487 758 961 1059] label_predict: [ 45 51 147 189 718 744 813 896 903 1092] label_predict: [147 189 813 872] label_predict: [ 25 161 194 331 584 611 734 797 813 953 974 1059 1092] label_predict: [ 147 189 420 738 813 835 962 1092] label_predict: [ 13 79 483 776 830 1046] label_predict: [ 111 147 156 189 259 418 541 800 813 835 993 1046 1092]
5485it [02:10, 47.39it/s]
label_predict: [ 13 405 896 903 1092] label_predict: [121 147 188 189 813] label_predict: [ 121 464 754 1039] label_predict: [ 51 121 147 188 189 552 671 780 1034] label_predict: [ 51 147 189 718 813 903 1092] label_predict: [ 79 121 194 1059] label_predict: [ 13 147 718 744 813 896 903 1092] label_predict: [ 147 156 189 436 655 671 720 744 780 813 903 1092] label_predict: [ 79 147 156 189 194 671 780 813 903 1059 1092] label_predict: [ 13 51 147 189 813 896 903 1092]
5490it [02:10, 47.83it/s]
label_predict: [ 13 14 147 552 626 671 780] label_predict: [ 51 79 147 156 227 369 584 612 671 780 954 1030 1059] label_predict: [ 79 188 194 282 489 584 1059] label_predict: [ 79 121 194 239 844] label_predict: [ 13 147 698 813 896 1092] label_predict: [ 147 156 189 259 418 541 542 813 835 949 1072 1092] label_predict: [ 51 111 147 189 483 733 738 776 813 1046 1092]
5500it [02:10, 38.56it/s]
label_predict: [131 147 189 552 671 768 780] label_predict: [ 13 147 552 626 671 780] label_predict: [ 188 369 615 803 1034 1099] label_predict: [ 51 147 189 554 744 813 896 903 1092] label_predict: [ 13 51 147 189 671] label_predict: [ 51 147 189 744 813 896 903 1092] label_predict: [ 13 51 147 189 434 501 738 813] label_predict: [ 116 125 161 304 487 1059] label_predict: [ 111 147 189 259 418 541 800 813 835 949 1046 1092] label_predict: [ 79 147 188 194 671 1059]
5511it [02:11, 43.38it/s]
label_predict: [147 156 189 485 603 671 780] label_predict: [ 13 51 147 189 813 896 903 1092] label_predict: [ 147 1059] label_predict: [ 161 304 1059] label_predict: [ 51 147 813 1046 1092] label_predict: [121 147 189 433 558 744 813 903 962] label_predict: [ 13 51 147 744 813 896 903 1092] label_predict: [ 147 188 194 671 744 803 813 1092 1099] label_predict: [ 51 111 147 189 738 813 1046 1092] label_predict: [121]
5516it [02:11, 35.11it/s]
label_predict: [ 147 189 413 430 434 501 559 622 738 813 835 871 1092] label_predict: [ 79 182 194 813] label_predict: [ 147 189 373 597 671 768 780 1034 1035] label_predict: [ 79 147 156 189 369 477 612 671 780 813 1092] label_predict: [ 51 147 188 428 615 671 744 803 813 1092 1099]
5526it [02:11, 40.43it/s]
label_predict: [ 51 147 189 369 1059] label_predict: [ 13 79 147 156 477 671 780 813 1092] label_predict: [ 13 51 147 189 718 813 896 903 1092] label_predict: [ 51 147 156 227 489 584 612 671 780 813 954 1030 1046 1092] label_predict: [ 51 79 147 156 189 477 489 584 612 671 780 813 1046 1059 1062 1092] label_predict: [ 13 51 147 552 671 675 780 978 1039 1059] label_predict: [ 369 726 1059 1084] label_predict: [ 51 147 156 189 369 671 780 1059] label_predict: [ 116 121 226 289 374 415 464 473 487 597 650 681 684 704 724 735 748 819 844 925 955 1023 1026] label_predict: [ 13 477 480 483 501 554 670 671 746 776 975 1046]
5536it [02:11, 43.12it/s]
label_predict: [ 51 147 813 1046 1092] label_predict: [ 147 156 189 541 813 949 1092] label_predict: [ 79 121 188 194 558 1059] label_predict: [ 79 147 156 189 671 780 1034] label_predict: [ 13 14 51 127 147 369 552 671 675 716 780 978 1039] label_predict: [ 79 147 189 335 369 671 780 1034] label_predict: [ 51 147 744 813 1092] label_predict: [ 147 189 671 780 1034 1035] label_predict: [ 1 33 121 420 582 724 962 1023 1059 1061] label_predict: [ 13 445 813 896 903 1092]
5547it [02:12, 41.90it/s]
label_predict: [ 13 51 147 156 477 671 738 813 1046 1092] label_predict: [ 147 156 189 259 418 541 796 813 835 949 1092] label_predict: [ 147 189 430 434 559 615 813 835 1092] label_predict: [ 13 51 147 189 813 896 1092] label_predict: [ 188 489 1059] label_predict: [ 147 189 369 450 671 780 1059] label_predict: [ 776 813 1046 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 131 147 189 378 552 671 768 780 1034] label_predict: [ 79 147 156 189 194 477 612 671 780 1059]
5552it [02:12, 40.64it/s]
label_predict: [ 147 483 738 776 813 830 1046 1092] label_predict: [121 147 189 813] label_predict: [ 51 147 156 227 477 612 655 671 780 813 954 1046 1092] label_predict: [ 13 51 147 483 738 776 813 830 1046 1092] label_predict: [147 156 189 477 485 603 671 695 780 999] label_predict: [ 13 14 51 147 552 567 626 1066] label_predict: [ 13 147 189 671 813 896 903 1092] label_predict: [ 99 121 304 489 774 1059] label_predict: [ 147 304 369 744 813 903 1092]
5563it [02:12, 40.38it/s]
label_predict: [ 147 189 671 780 1034] label_predict: [ 13 813 896 1092] label_predict: [ 13 51 147 501 545 580 738 747 813 1046 1092] label_predict: [ 51 79 121 147 189 597 671 780 1034 1035] label_predict: [ 147 189 430 434 501 545 559 738 813 931 1046 1092] label_predict: [ 147 156 189 259 418 541 663 796 800 813 835 1072 1092] label_predict: [ 111 147 189 813 1092] label_predict: [ 147 189 671 780 1034]
5573it [02:12, 43.39it/s]
label_predict: [ 13 147 156 189 369 436 552 626 671 780 813 1059] label_predict: [ 147 156 189 418 541 542 796 813 949 1072 1092] label_predict: [ 13 194 744 756 813 896 1092] label_predict: [ 147 189 663 813 835 1092] label_predict: [ 79 111 147 477 483 671 725 737 738 776 813 830 923 1046] label_predict: [ 79 147 189 718 813 1059 1092] label_predict: [ 99 121 161 304 487 718 813 1059 1092] label_predict: [ 147 156 189 813 1059 1084] label_predict: [ 51 147 304 489 612 744 813 896 903 1059 1092] label_predict: [ 51 147 156 189 813 1092]
5584it [02:12, 46.58it/s]
label_predict: [ 13 147 445 457 813 896 903 1092] label_predict: [ 13 79 194 776 830 1046] label_predict: [ 147 189 744 811 813 896 903 1092] label_predict: [ 79 121 194 239 487 704 813 961] label_predict: [121 161 304 415 464 872] label_predict: [ 13 147 626 813 896 1092] label_predict: [ 13 51 147 552 626 671 780] label_predict: [ 121 158 184 313 369 415 420 433 464 493 582 754 819 962 1023 1039 1059 1061] label_predict: [ 51 121 147 212 304 813 1059] label_predict: [ 51 147 156 189 283 738 813 1059 1092] label_predict: [ 51 147 194 477 671 780 813 1034 1092]
5594it [02:13, 45.86it/s]
label_predict: [ 13 51 147 552 626 671 780] label_predict: [ 13 99 121 433 1059] label_predict: [ 13 51 147 189 616 738 813 1046 1092] label_predict: [ 25 161 584 734 738 758 813 1059 1062 1092] label_predict: [ 51 79 147 156 189 671 780 1059] label_predict: [ 51 147 189 744 813 896 903 1092] label_predict: [ 147 161 189 498 813 961 1092] label_predict: [ 51 147 156 189 369 671 1059] label_predict: [ 79 147 156 189 498 671 813 1059 1092] label_predict: [ 147 156 189 418 541 796 813 896 949 1092]
5604it [02:13, 45.34it/s]
label_predict: [ 13 79 776 830 1046 1092] label_predict: [ 51 99 189 304 718 813 1059 1092] label_predict: [313 420 962] label_predict: [ 147 189 259 418 663 800 813 835 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 147 156 184 189 369 436 720 1059] label_predict: [ 13 14 51 147 552 675 716 978] label_predict: [ 147 156 189 259 418 541 542 579 813 835 949 1020 1072 1092] label_predict: [ 51 147 189 813 835 1092] label_predict: [ 156 171 189 223 245 300 337 355 368 369 587 726 766 1020 1059 1084]
5609it [02:13, 46.17it/s]
label_predict: [ 121 188 231 489 1039 1059] label_predict: [ 79 147 189 498 813 896 1092] label_predict: [ 13 51 147 483 501 737 738 776 813 1046 1092] label_predict: [ 13 51 147 189 813 1092] label_predict: [ 194 404 813 1020 1046 1092] label_predict: [ 13 121 147 1059 1092] label_predict: [ 13 445 554 670 693 729 755 813 896 903 989 1092]
5620it [02:13, 42.72it/s]
label_predict: [ 51 147 189 744 813 903 1092] label_predict: [ 147 189 813 903 1092] label_predict: [ 498 718 813 896 961 1092] label_predict: [ 51 147 156 189 369 586 587 833 1020 1039 1059] label_predict: [ 51 76 147 227 339 393 477 487 584 612 671 780 813 954 961 1030 1062 1092] label_predict: [121 125 161 204 304 450 464 495 634 872] label_predict: [ 121 369 433 582 1023 1034 1059 1099] label_predict: [ 51 147 156 189 335 369 671 780 813] label_predict: [ 79 147 189 655 671 738 776 780 813 830 1046 1092] label_predict: [ 18 25 161 194 331 487 534 584 611 642 734 738 758 797 800 813 897 953 974 993 1059 1092] label_predict: [ 51 79 147 189 671 1059]
5630it [02:13, 45.67it/s]
label_predict: [ 13 477 670 813 1092] label_predict: [ 147 189 718 813 896 903 1092] label_predict: [ 147 156 189 259 813 993 1092] label_predict: [ 79 147 189 194 477 671 780 1034] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 13 51 147 519 813 1092] label_predict: [ 33 313 962] label_predict: [ 121 188 552 1059] label_predict: [ 51 147 194 671 813 1046 1092] label_predict: [ 147 189 369 671 780 1034 1035]
5640it [02:14, 46.96it/s]
label_predict: [ 51 147 156 189 212 369 671 1059] label_predict: [147 156 189 485 671 744 780 813 835] label_predict: [ 13 147 813 896 1092] label_predict: [ 189 378 552 671 768 780 1034] label_predict: [ 99 125 161 304 369 464 634 840 872 922] label_predict: [ 79 147 189 194 369 671 780 1059] label_predict: [ 51 147 194 744 813 1092] label_predict: [ 51 79 147 156 189 489 584 612 671 780 1059] label_predict: [ 79 147 189 369 671 1059] label_predict: [ 79 194 671 780 1059 1062]
5651it [02:14, 48.40it/s]
label_predict: [ 483 737 738 776 813 830 1046 1092] label_predict: [ 51 147 189 744 813 952 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 13 51 147 483 738 776 813 830 1046] label_predict: [ 304 369 487 1059] label_predict: [ 147 156 189 227 420 616 813 961 1092] label_predict: [ 51 147 189 671 780 813 1092] label_predict: [ 79 147 813 903 1092] label_predict: [ 99 161 304 718 774 813] label_predict: [ 147 189 813 835 1092] label_predict: [ 13 121 147 1046]
5662it [02:14, 49.10it/s]
label_predict: [ 51 79 304 487 1059 1062] label_predict: [ 121 147 428 433 434 517 597 724 738 744 813 1023 1092 1099] label_predict: [ 79 194 369 489 584 671 1059] label_predict: [ 79 147 189 194 477 489 612 671 780 813 1059 1092] label_predict: [ 51 147 189 194 671 780 813 1046 1092] label_predict: [ 147 156 189 813 835 1092] label_predict: [ 13 147 813 896 1092] label_predict: [ 147 188 189 369 744 813 903 1019 1059] label_predict: [ 147 156 189 541 813 1092] label_predict: [ 147 189 796 813 896 903 1092]
5672it [02:14, 46.42it/s]
label_predict: [ 131 147 189 378 552 671 768 780 1034] label_predict: [ 13 14 51 147 552 626 671 768 780 1056] label_predict: [ 79 188 738 813 1059] label_predict: [ 147 188 189 194 671 780 1034 1035] label_predict: [ 188 231 369 487 489 1039 1059 1061 1085] label_predict: [ 194 404 744 813 1020 1092 1099] label_predict: [121 147 304 744 813 903] label_predict: [ 51 111 147 189 738 776 813 1046 1092] label_predict: [ 121 483 501 548 737 738 813 931 1046] label_predict: [ 51 111 147 156 189 477 671 780 813 1046 1092]
5683it [02:15, 48.11it/s]
label_predict: [ 13 51 147 189 813 896 903 1092] label_predict: [ 13 51 147 552 626 671 780 1092] label_predict: [ 79 99 813 961 1092] label_predict: [ 13 147 189 698 813 896 1092] label_predict: [ 25 147 156 161 189 532 813 1059 1092] label_predict: [ 147 156 189 259 418 541 542 579 813 949 1072 1092] label_predict: [ 99 125 161 194 304 487 718 1059] label_predict: [ 147 156 189 259 418 541 542 579 813 949 993 1072 1092] label_predict: [ 147 156 189 813 949 1092] label_predict: [ 79 111 147 189 194 738 776 813 1046 1092]
5693it [02:15, 45.50it/s]
label_predict: [ 13 51 147 189 552 626 671 780 1034] label_predict: [ 13 51 147 189 813 896 903 1092] label_predict: [ 813 1034 1092] label_predict: [ 79 121 182 813 961 1059 1092] label_predict: [ 147 156 189 418 541 671 744 796 813 896 903 949 1072 1092] label_predict: [ 147 189 477 671 780 813 1034 1092] label_predict: [ 13 477 554 670 746 813 896 903 1092] label_predict: [ 51 79 147 156 189 283 671 738 813 1046 1059] label_predict: [ 79 121 194 239 671 1059] label_predict: [ 79 194 671 813 1059]
5703it [02:15, 43.85it/s]
label_predict: [ 79 147 189 369 1059] label_predict: [ 51 79 147 156 584 1059] label_predict: [ 51 147 156 189 259 541 542 813 1046 1092] label_predict: [ 147 189 813 1059 1092] label_predict: [ 194 404 738 744 813 1020 1046 1092 1099] label_predict: [ 180 188 733 803 813 1092 1099] label_predict: [ 13 51 147 813 896 903 1092] label_predict: [ 51 79 161 194 304 487 671 813 1059 1092] label_predict: [ 615 813 896 1092] label_predict: [ 13 813 896]
5713it [02:15, 42.53it/s]
label_predict: [ 147 156 189 369 587 726 766 1020 1039 1059 1084] label_predict: [ 79 147 156 189 194 671 780 813 1059 1092] label_predict: [ 51 79 147 156 194 227 477 612 671 780 813 1046 1059 1092] label_predict: [ 51 147 156 189 541 744 813 835 1092] label_predict: [ 111 147 156 189 671 813 835 1092] label_predict: [ 13 51 111 147 480 483 501 737 738 776 813 923 1046] label_predict: [ 79 147 194 489 813 1059] label_predict: [ 121 369 754 1039 1059] label_predict: [ 51 147 189 671 768 780 813 1059]
5723it [02:15, 45.33it/s]
label_predict: [ 51 147 189 639 671 780 950 1034] label_predict: [ 121 813 961 1092] label_predict: [ 13 194 404 813 1020 1092] label_predict: [ 125 161 304 369 495 634 872 1039 1059] label_predict: [ 147 189 813 896 1092] label_predict: [ 51 76 79 147 156 227 369 477 612 671 780 813 961 1059 1092] label_predict: [ 13 147 189 698 813 896 903 1092] label_predict: [ 121 369 726 1039] label_predict: [ 147 189 430 434 501 559 738 747 813 1092] label_predict: [ 188 369 487 647 1059]
5733it [02:16, 44.61it/s]
label_predict: [ 79 194 369 420 813 1059 1092] label_predict: [ 79 147 189 671 780 1034 1035] label_predict: [ 13 51 147 552 626 671 780] label_predict: [ 51 147 188 369 489 671 1059] label_predict: [ 51 147 188 744 813 1092 1099] label_predict: [ 79 147 156 189 194 671 780 1059 1062] label_predict: [ 147 156 189 1059] label_predict: [121 147 189 369] label_predict: [ 13 147 813 1092]
5738it [02:16, 43.26it/s]
label_predict: [ 13 51 147 189 718 813 896 903 1092] label_predict: [ 147 156 189 259 418 541 800 813 835 949 1092] label_predict: [ 13 51 147 189 813 896 903 1092] label_predict: [ 127 147 369 586 1039 1059] label_predict: [ 147 156 189 259 418 541 813 835 1092] label_predict: [ 156 189 300 369 436 587 766 1059 1084] label_predict: [ 51 147 189 813 1092] label_predict: [ 121 147 189 369 436 671 1059] label_predict: [ 161 304 813 1061]
5748it [02:16, 45.51it/s]
label_predict: [ 147 156 189 418 541 542 813 949 1072 1092] label_predict: [147 156 189 485 603 671 695 780] label_predict: [121 147 189 369 436 744 813] label_predict: [ 99 161 236 304 489 584 774 1059] label_predict: [ 147 189 663 800 813 1092] label_predict: [ 147 189 418 813 835 1092] label_predict: [ 79 121 147 189 498 813] label_predict: [ 121 188 304 369 464 1039 1059 1061] label_predict: [ 51 147 156 489 584 612 671 780 1030 1059] label_predict: [ 13 51 147 189 420 477 483 733 734 737 738 776 813 1046 1092]
5759it [02:16, 47.47it/s]
label_predict: [ 147 156 189 671 780 813 1092] label_predict: [ 147 156 189 418 541 542 796 813 949 1072 1092] label_predict: [ 147 189 718 813 896 903 1092] label_predict: [121 188 558 744] label_predict: [ 430 501 813 1046 1092] label_predict: [ 18 25 61 99 125 161 304 331 489 584 758 813 1059] label_predict: [ 501 519 545 737 738 813 931 993 1046] label_predict: [ 51 147 188 189 428 744 803 813 1092 1099] label_predict: [ 51 147 586 1039] label_predict: [ 79 147 188 189 194 477 671 780 1034]
5769it [02:16, 46.34it/s]
label_predict: [ 79 194 369 671 780 813 1059 1098] label_predict: [121 182 188 558 754] label_predict: [ 51 76 147 156 189 227 339 671 780 813 961 1059 1092] label_predict: [ 121 147 189 813 1092] label_predict: [ 147 156 189 477 485 603 607 671 695 780 1069] label_predict: [ 35 99 313 420 718 738 813 835 962] label_predict: [ 79 147 156 189 369 552 671 780 813] label_predict: [ 147 189 813 1046 1092] label_predict: [ 147 189 477 639 671 780 1034 1046] label_predict: [ 13 404 405 896 903 1092]
5779it [02:17, 47.01it/s]
label_predict: [ 13 51 147 189 663 813 896 903 1092] label_predict: [ 79 369 726 813 1059] label_predict: [ 147 189 450 558 744 813 903 1092] label_predict: [ 147 189 259 418 541 663 796 800 813 835 949 1072 1092] label_predict: [ 147 189 259 813 993 1046 1092] label_predict: [ 147 189 418 541 800 813 835 949 1092] label_predict: [ 121 369 587 833 1020] label_predict: [ 116 125 161 304 487 813 961 1059] label_predict: [ 13 405 896 903 1092] label_predict: [ 13 51 111 147 483 573 738 776 813 830 1046 1092]
5790it [02:17, 48.03it/s]
label_predict: [ 13 51 519] label_predict: [ 13 14 147 552 626 671 780] label_predict: [ 13 51 147 813 896 1092] label_predict: [ 79 369 420 671 780 813 1046 1059] label_predict: [ 147 189 813 1092] label_predict: [ 79 147 156 671 813 1046 1059 1092] label_predict: [ 13 79 147 813 896 1092] label_predict: [ 79 147 156 189 1059] label_predict: [ 13 51 147 430 434 501 545 559 737 738 813 1092] label_predict: [ 13 51 147 738 813 1046 1059 1092]
5800it [02:17, 47.79it/s]
label_predict: [ 51 147 156 212 369 586 1039 1059] label_predict: [ 13 147 189 718 813 896 903 1092] label_predict: [ 147 813 896 1092] label_predict: [ 99 121 369 433 1039 1059] label_predict: [ 13 51 127 147 552 671 675 780 978] label_predict: [ 51 111 147 189 259 420 616 733 734 738 776 813 993 1046 1092] label_predict: [ 188 369 507 813 1039] label_predict: [147 156 189 485 603 671 780] label_predict: [ 79 147 194 483 671 737 738 776 813 830 1046 1092] label_predict: [ 13 404 405 896 903 1092]
5810it [02:17, 41.46it/s]
label_predict: [121 313 420 962] label_predict: [ 121 194 369 744 813 903 1059 1092] label_predict: [ 147 188 231 671 744 780 813 1092 1099] label_predict: [ 121 131 147 189 671 768 780 1034] label_predict: [121 147 188 189 433 597 813] label_predict: [ 121 147 671 780 1034] label_predict: [ 13 147 189 477 554 612 671 744 780 903 1059] label_predict: [ 13 51 147 671 813 896 1092]
5815it [02:17, 42.10it/s]
label_predict: [ 121 161 304 718 813 872 1092] label_predict: [ 147 813 896 1092] label_predict: [ 147 156 189 369 558 744 813 903 1092] label_predict: [ 147 156 189 259 418 541 796 813 949 1092] label_predict: [ 121 188 369 433 724 1099] label_predict: [ 147 189 671 744 813 903 1092] label_predict: [ 99 121 161 304 369 433 718 813 903 1092] label_predict: [ 51 79 147 189 552 597 671 780 1034 1035 1099] label_predict: [ 51 79 147 156 189 482 498 813 961 1059 1092]
5825it [02:18, 42.83it/s]
label_predict: [ 194 480 483 671 737 738 776 813 1046 1092] label_predict: [ 79 188 194 671 813 1059] label_predict: [ 51 147 189 813 1092] label_predict: [ 147 189 813 1092] label_predict: [ 147 156 189 744 813 896 903 1092] label_predict: [ 121 147 433 724 813 962 1092] label_predict: [ 79 194 489 584 671 1059] label_predict: [ 147 156 189 259 418 541 542 813 835 993 1046 1072 1092] label_predict: [ 147 189 418 541 813 835 1092]
5835it [02:18, 43.24it/s]
label_predict: [ 147 189 655 671 744 780 813 903 1046 1092] label_predict: [147 161 189 204 304 813 872] label_predict: [ 121 231 369 489 1039 1059] label_predict: [ 13 405 896 903 1092] label_predict: [ 430 483 501 545 559 737 738 813 931 1009 1032 1046 1092] label_predict: [ 13 51 147 744 813 952 1092] label_predict: [ 51 111 147 189 483 738 776 813 1046 1092] label_predict: [ 51 147 189 616 813 1092] label_predict: [ 147 369 436 744 813 903 1039 1059] label_predict: [ 147 189 813 896 903 1092]
5845it [02:18, 43.05it/s]
label_predict: [ 79 147 189 477 671 780 1034] label_predict: [ 79 182 194 754 813 903 1059] label_predict: [ 13 131 147 189 552 671 768 780] label_predict: [ 194 480 483 494 737 738 744 776 813 830 1046 1092 1099] label_predict: [ 121 147 189 433 436 552 671 813 1059] label_predict: [ 13 189 835 1092] label_predict: [ 13 51 147 189 483 738 776 813 1046 1092] label_predict: [ 13 51 147 477 671 744 780 813 1092] label_predict: [ 79 194 487 671 813 1059 1062]
5855it [02:18, 45.43it/s]
label_predict: [ 194 477 671 780 813 1034 1046 1092 1099] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 51 76 147 156 189 227 252 477 671 780 813 961 1092] label_predict: [ 79 147 156 189 194 369 671 780 1059] label_predict: [ 13 51 147 189 369 552 626 671 720 780] label_predict: [ 13 51 147 189 744 813 896 1092] label_predict: [ 18 25 161 331 487 813 961 1059 1092] label_predict: [ 147 189 418 541 796 813 949 1072 1092] label_predict: [ 99 121 813 1059] label_predict: [ 13 147 405 813 896 903 1092]
5865it [02:19, 44.52it/s]
label_predict: [ 111 147 189 480 483 501 737 738 776 813 1046] label_predict: [ 13 121 147 188 189 552 671 780 1034] label_predict: [ 51 147 189 744 747 813 952 1092] label_predict: [ 111 147 189 483 738 776 813 1046 1092] label_predict: [ 9 33 99 313 420 738 813 835 962] label_predict: [ 79 194 487 489 584 1059] label_predict: [ 121 188 498 813 1059 1099] label_predict: [ 13 147 813 896 1046 1092] label_predict: [ 147 194 404 744 813 1092 1099] label_predict: [ 147 189 420 738 813 835 1092]
5875it [02:19, 44.98it/s]
label_predict: [ 147 156 189 259 418 541 542 579 813 835 949 1072 1092] label_predict: [ 147 189 369 1034 1039 1059] label_predict: [ 51 147 156 369 1059] label_predict: [ 13 51 147 698 813 896 1092] label_predict: [ 161 194 369 487 813 1059] label_predict: [ 51 79 147 156 189 671 780 813 961 1059 1062 1092] label_predict: [ 17 19 26 29 41 51 52 58 60 101 111 116 141 147 151 155 156 165 167 169 175 177 188 189 191 194 206 209 218 231 244 253 258 285 294 306 333 337 369 375 378 385 390 394 399 413 415 422 431 437 441 450 451 454 461 467 474 475 477 485 490 495 510 516 518 522 523 542 546 548 551 552 555 558 564 570 572 579 581 584 585 592 597 598 603 616 624 638 639 640 654 655 659 660 667 668 671 679 682 684 692 705 709 738 754 759 769 773 777 780 795 800 813 824 825 836 837 841 843 844 858 860 861 867 870 872 874 880 887 889 903 907 917 921 925 929 936 941 942 943 947 950 953 961 967 968 971 996 997 998 999 1000 1011 1012 1034 1041 1046 1050 1063 1064 1065 1067 1070 1078 1091 1092 1098] label_predict: [ 79 194 776 813 830 1046 1059] label_predict: [ 13 147 552 626 671 716 780]
5885it [02:19, 45.18it/s]
label_predict: [ 147 189 671 780 813 835 1092] label_predict: [ 79 147 156 189 671 813 1046 1092] label_predict: [ 99 121 125 161 304 634 872 1059] label_predict: [ 51 147 194 483 738 776 813 1046 1059] label_predict: [ 13 51 147 189 744 813 896 903 1092] label_predict: [ 13 14 51 147 552 671 780] label_predict: [ 13 51 147 189 552 655 671 780 813 1092] label_predict: [ 121 147 189 813 1092] label_predict: [ 111 147 189 420 738 813 835 1046 1092] label_predict: [ 147 189 485 780 813 835 1092]
5895it [02:19, 45.87it/s]
label_predict: [ 13 14 51 147 552 671 780] label_predict: [ 147 189 813 896 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 79 147 156 189 194 671 780 1059 1062] label_predict: [ 51 76 147 156 212 369 477 671 780 813 1059 1092] label_predict: [ 13 51 147 189 776 813 1046 1092] label_predict: [ 13 14 51 147 552 626] label_predict: [ 147 156 189 259 418 541 796 813 835 949 1072 1092] label_predict: [ 671 1034] label_predict: [ 79 147 156 189 420 671 813 1059 1092]
5905it [02:19, 46.98it/s]
label_predict: [ 147 156 194 655 671 744 813 1046 1092] label_predict: [ 194 485 744 813 1046 1092 1099] label_predict: [ 79 147 189 194 477 671 780 813 1046 1059 1092] label_predict: [ 121 464 1039] label_predict: [ 13 51 147 501 813 1092] label_predict: [ 79 116 161 194 304 487 758 1059 1062] label_predict: [ 13 147 189 552 626 671 780 925] label_predict: [ 79 147 156 194 671 813 1059 1062] label_predict: [ 51 111 147 189 259 420 483 738 813 1046 1092] label_predict: [ 99 121 369 1039 1059]
5910it [02:20, 46.85it/s]
label_predict: [ 51 147 156 189 813 1092] label_predict: [ 13 51 519 813 1092] label_predict: [ 13 51 147 813 896 1092] label_predict: [ 79 121 182 354 754 1039] label_predict: [ 13 480 483 738 776 813 830 923 1046] label_predict: [ 51 147 156 189 259 541 813 1092] label_predict: [ 79 147 156 188 189 671 780 1059] label_predict: [ 131 147 189 378 671 768 780 1034]
5920it [02:20, 44.10it/s]
label_predict: [ 483 737 738 813 830 931 1046] label_predict: [ 79 121 188 1059] label_predict: [ 79 147 189 671 768 780 1034 1035] label_predict: [ 79 194 282 477 487 489 671 780 1059 1062] label_predict: [ 33 189 420 738 813 835 962] label_predict: [ 79 188 189 369 436 1059] label_predict: [ 121 304 369 433 813 1039 1059 1061] label_predict: [ 79 121 147 189 369 552 671 780 1034] label_predict: [ 369 726 1084] label_predict: [ 147 189 813 1092]
5931it [02:20, 46.23it/s]
label_predict: [147 156 189 477 485 603 607 671 695 780 999] label_predict: [ 430 434 483 501 545 559 737 738 813 931 1032 1046] label_predict: [147 189 369 744 813 903] label_predict: [ 13 147 698 813 896 1092] label_predict: [ 13 147 189 369 552 555 626 671 749 780] label_predict: [ 13 147 552 671 780] label_predict: [ 79 121 813 1059] label_predict: [ 79 487 1059 1062] label_predict: [ 51 147 189 498 813 961 1092] label_predict: [ 147 161 189 304 813 903 1092] label_predict: [ 147 189 813 1092]
5941it [02:20, 35.28it/s]
label_predict: [ 121 147 189 597 768 1035] label_predict: [ 13 147 189 813 903 1092] label_predict: [ 51 79 147 194 671 813 1059 1092] label_predict: [ 51 79 147 156 189 194 227 369 489 584 612 671 780 954 1059] label_predict: [ 99 121 147 433 552 724] label_predict: [ 79 194 671 738 776 780 813 830 1046 1059 1099] label_predict: [ 147 188 189 194 477 671 780 813 1034 1046 1059] label_predict: [ 121 147 487 552 626 671 724 780 925 955 1010] label_predict: [ 147 813 896 1092] label_predict: [ 147 156 189 259 418 541 813 835 1046 1092]
5951it [02:21, 40.23it/s]
label_predict: [ 79 147 813 896 1092] label_predict: [ 51 147 189 194 552 671 780 813 1092] label_predict: [ 13 147 188 552 896] label_predict: [ 147 189 813 1092] label_predict: [ 13 51 147 156 189 552 626 671 720] label_predict: [ 147 189 430 434 501 559 621 738 747 813 1089 1092] label_predict: [ 180 188 744 803 813 1092 1099] label_predict: [ 194 404 655 744 813 1020 1092 1099] label_predict: [ 131 147 189 378 671 768 780 1034]
5961it [02:21, 42.25it/s]
label_predict: [ 79 121 194 369 415 487 684 724 735 748 844 925 955] label_predict: [ 13 14 127 147 552 555 626 671 749 780] label_predict: [ 13 147 189 552 626 671 780 1034] label_predict: [ 51 147 156 189 813 1092] label_predict: [ 147 156 189 485 603 671 744 813 835 1099] label_predict: [ 79 194 671 1059] label_predict: [ 79 121 1059] label_predict: [121 420 433 962] label_predict: [ 194 404 655 744 813 1020 1046 1092 1099] label_predict: [ 51 147 156 189 212 1059]
5971it [02:21, 44.19it/s]
label_predict: [ 79 147 189 194 369 671 780 925] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 13 51 147 616 813 1046 1092] label_predict: [ 13 194 404 813 1020 1092] label_predict: [ 99 121 304 718 813 961 1059 1092] label_predict: [147 156 189 485 603 607 671 695 780] label_predict: [ 13 51 147 552 671 780] label_predict: [ 111 147 189 420 738 776 813 1046 1092] label_predict: [ 79 121 147 194 369 671 813] label_predict: [ 51 147 189 671 813 1046 1092]
5976it [02:21, 35.22it/s]
label_predict: [ 147 156 189 813 1092] label_predict: [ 131 147 189 378 671 768 780 1034] label_predict: [147 188 552 671 780] label_predict: [ 79 369 726 1059] label_predict: [ 121 415 433 1039]
5987it [02:22, 40.94it/s]
label_predict: [ 51 147 156 189 369] label_predict: [ 13 25 161 194 487 813 1059 1092] label_predict: [ 79 147 156 189 194 477 612 671 780 813 1059 1092] label_predict: [ 13 147 813 1092] label_predict: [ 147 189 259 418 541 663 800 813 835 1092] label_predict: [ 79 194 487 671 813 1059 1062] label_predict: [ 51 99 147 304 813 961 1092] label_predict: [ 51 147 194 813 1046 1092] label_predict: [ 147 189 430 501 559 738 813 1046 1092] label_predict: [ 131 147 189 671 768 780 1034] label_predict: [ 51 147 194 485 738 744 813 1046 1092]
5997it [02:22, 44.05it/s]
label_predict: [ 13 420 477 813] label_predict: [ 483 494 737 738 776 813 830 1046 1092] label_predict: [121 304 415 724 955 962] label_predict: [ 79 194 489 1059] label_predict: [147 156 189 485 671 744 780] label_predict: [ 99 189 498 718 813 896 1092] label_predict: [ 79 147 156 189 477 639 671 780 1034 1035] label_predict: [ 51 79 147 156 189 227 369 489 612 671 780 813 954 1059 1092] label_predict: [ 25 161 331 534 734 800 813 953 974 993 1059 1092] label_predict: [ 99 121 125 161 304 493 634 840 872 922]
6008it [02:22, 46.83it/s]
label_predict: [ 147 156 189 259 418 541 663 796 813 835 1072 1092] label_predict: [ 13 14 51 147 552 626 671 716 780 1056] label_predict: [ 813 1092] label_predict: [ 51 79 1059] label_predict: [ 147 483 738 776 813 1046] label_predict: [ 79 194 813 844 1059] label_predict: [ 147 813 896 1092] label_predict: [ 147 189 800 813 835 1092] label_predict: [ 33 121 420 432 582 724 738 955 962 1023] label_predict: [ 147 813 1046 1092] label_predict: [ 51 147 156 189 477 612 671 744 780 813 903 1092]
6018it [02:22, 46.86it/s]
label_predict: [ 13 147 554 744 813 896 903 1092] label_predict: [ 51 147 189 738 813 1046 1092] label_predict: [ 13 477 671] label_predict: [ 13 404 405 445 698 813 896 1092] label_predict: [188 231 369 558 754] label_predict: [ 79 147 156 189 813 1059 1092] label_predict: [ 45 79 116 121 133 189 226 239 282 289 374 415 464 473 487 597 624 650 681 682 684 704 705 735 748 819 844 860 910 912 925 949 955 958 1024 1026 1034 1062] label_predict: [ 13 51 111 147 483 738 776 813 1046 1092] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 147 189 671 768 780 1034]
6028it [02:22, 47.19it/s]
label_predict: [147 156 189 485 603 671 695 780] label_predict: [ 79 121 194 420 489 844] label_predict: [ 51 147 671 780 1059] label_predict: [ 79 147 188 189 552 671 780 1034] label_predict: [ 18 25 61 99 125 161 304 331 487 758 813 1059] label_predict: [ 147 189 813 1092] label_predict: [ 13 121 369 1059] label_predict: [ 147 369 1039 1059] label_predict: [ 13 405 896 903 1092]
6038it [02:23, 45.23it/s]
label_predict: [ 99 161 304 718 813 961 1092] label_predict: [ 51 147 189 194 813 1046 1092] label_predict: [ 79 147 189 194 369 655 671 780 1034 1098] label_predict: [ 111 147 189 796 813 896 903 1092] label_predict: [ 147 189 671 780 1034] label_predict: [ 51 79 147 189 671 776 780 813 1046 1092] label_predict: [ 111 147 156 189 259 418 541 796 813 835 1046 1092] label_predict: [147 194 671] label_predict: [ 79 121 354 489 1059] label_predict: [ 51 147 156 189 283 369 489 584 612 671 780 1059]
6048it [02:23, 44.64it/s]
label_predict: [ 13 14 147 552 626 1056] label_predict: [ 79 194 584 671 1059] label_predict: [ 13 147 189 552 671 780 840] label_predict: [ 156 189 300 369 587 726 766 994 1020 1084] label_predict: [ 13 14 147 552 567 626 700 1056] label_predict: [ 13 51 147 552 626 671 780] label_predict: [ 79 121 188 194 498 1034 1059] label_predict: [ 111 147 156 189 259 733 738 813 1046 1092] label_predict: [ 51 147 189 671 813 1092]
6058it [02:23, 43.51it/s]
label_predict: [ 51 79 147 156 188 369 477 612 671 780 1059] label_predict: [ 13 477 670 813] label_predict: [ 147 156 189 813 835 1092] label_predict: [ 79 121 147 189 1059] label_predict: [ 147 156 189 369 436 587 766 1020 1039 1059] label_predict: [ 79 121 147 188 189 477 597 671 738 780 813 1046 1092] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 99 498 813 961 1092] label_predict: [ 51 147 189 194 671 813 1092]
6063it [02:23, 44.40it/s]
label_predict: [ 79 121 147 194 671 1059] label_predict: [ 121 724 738 813 962 1023] label_predict: [ 33 121 313 420 738 962] label_predict: [ 51 147 189 335 813 896 1092] label_predict: [ 51 147 156 227 477 489 554 584 612 671 780 813 954 1030 1046 1059] label_predict: [ 13 51 147 480 483 501 737 738 776 813 1046] label_predict: [ 79 194 477 480 483 671 737 738 744 776 780 813 830 1034 1046 1092] label_predict: [ 79 147 189 671 738 780 813 1059] label_predict: [ 51 147 304 498 718 813 961 1092]
6073it [02:24, 34.97it/s]
label_predict: [ 13 51 147 813 1092] label_predict: [ 131 147 189 597 671 768 780 1034 1035] label_predict: [ 51 304 813 872 961 1092] label_predict: [ 188 280 369 563 813 1059 1061 1099] label_predict: [ 483 725 737 738 776 813 830 923 1046] label_predict: [ 51 147 189 612 744 903]
6078it [02:24, 38.00it/s]
label_predict: [ 111 147 189 738 776 813 1046 1092] label_predict: [ 51 147 156 188 189 541 813 1092] label_predict: [121 415 724 735 922 955 962] label_predict: [ 188 369 563 813 1059 1061 1099] label_predict: [ 13 51 147 626 813 896 1092] label_predict: [ 79 147 189 744 813 896 903 1092] label_predict: [ 51 147 156 322 369 477 612 671 780 954] label_predict: [ 79 194 239 813 844 1059] label_predict: [ 147 189 738 813 835 1046 1092]
6088it [02:24, 40.76it/s]
label_predict: [ 147 156 189 671 780 813 835 1092] label_predict: [ 147 156 189 259 418 485 541 542 813 835 1072 1092] label_predict: [ 13 147 189 552 626 671 780 925 1034] label_predict: [ 51 121 147 369 744 813 903 1019 1059] label_predict: [ 1 33 420 582 962 1023] label_predict: [ 51 111 147 189 813 1046 1092] label_predict: [ 99 161 304 718 813 896 961 1092] label_predict: [ 51 147 189 813 835 1092] label_predict: [ 13 51 111 147 189 813 1046 1092] label_predict: [ 79 147 194 369 612 671 780 1059]
6098it [02:24, 43.72it/s]
label_predict: [121 161 304 724 813 955 962] label_predict: [ 13 51 111 147 480 483 737 738 776 813 1046 1092] label_predict: [ 79 147 189 369 552 671 780 1059] label_predict: [ 13 477 813] label_predict: [ 51 111 147 813 1046 1092] label_predict: [ 79 147 194 813 1092] label_predict: [ 13 477 670 813 1092] label_predict: [ 51 147 156 541 813 949 1092] label_predict: [ 51 79 147 156 189 671 813 1059 1092] label_predict:
6108it [02:24, 45.53it/s]
[ 13 51 147 369 612 671 813 1092] label_predict: [ 13 51 147 156 671 780 813 1092] label_predict: [ 182 194 420 813 1059] label_predict: [ 79 147 161 189 304 813 961 1059 1092] label_predict: [ 51 147 156 189 369 612 671 780 1059] label_predict: [ 188 813 896 903 1092] label_predict: [ 13 147 552 555 626 671 780] label_predict: [ 51 147 156 189 813 961 1092] label_predict: [ 51 147 189 800 813 835 1092] label_predict: [ 147 156 189 259 418 541 542 579 813 993 1072 1092]
6118it [02:24, 46.50it/s]
label_predict: [ 147 189 554 744 811 813 896 903 1092] label_predict: [ 51 147 156 189 586 587 833 1020 1059] label_predict: [ 147 189 430 434 480 483 501 545 559 737 738 813 931 1046] label_predict: [ 79 147 188 194 552 671 780 1034] label_predict: [ 13 147 718 813 896 903 1092] label_predict: [ 147 189 194 671 780 813 1046 1092] label_predict: [ 13 51 147 189 813 1046 1092] label_predict: [ 51 147 156 189 212 227 339 477 554 584 612 671 746 780 813 1059 1062 1092] label_predict: [ 147 156 189 420 477 671 744 780 813 835 903 1059 1092] label_predict: [ 121 188 369 1039 1059]
6129it [02:25, 47.78it/s]
label_predict: [ 51 76 147 156 189 212 369 671 780 813 961 1059 1092] label_predict: [ 147 189 369 1039 1059] label_predict: [ 116 121 133 226 239 282 289 313 374 415 433 464 473 487 589 597 600 624 650 681 682 684 704 705 724 735 748 819 844 860 910 912 925 931 955 958 1023 1026 1034 1062] label_predict: [ 99 121 125 161 192 204 304 464 495 1039] label_predict: [ 13 147 189 552 626 671 780] label_predict: [ 615 813 896 1092] label_predict: [ 121 420 754 1059] label_predict: [ 13 51 147 189 813 896 903 1092] label_predict: [ 79 147 189 420 498 813 1059 1092] label_predict: [ 13 51 121 147 188 552 671 780 813 1059] label_predict: [ 194 404 744 813 1046 1092 1099]
6140it [02:25, 47.99it/s]
label_predict: [ 13 51 194 519 813 1092] label_predict: [ 51 147 532 813 1092] label_predict: [ 194 813 1092] label_predict: [ 51 147 189 369 671 744 813 903 1092] label_predict: [ 147 156 189 259 418 541 542 579 813 835 949 1046 1072 1092] label_predict: [ 13 670 813 896 903 1092] label_predict: [188 369 720] label_predict: [ 51 79 147 156 189 487 671 780 813 961 1059 1062 1092] label_predict: [ 79 147 156 189 671 813 1046 1092] label_predict: [ 121 489 1039 1059]
6151it [02:25, 47.35it/s]
label_predict: [ 51 79 487 738 813 961 1059 1062 1092] label_predict: [121 558 724 744 955 962] label_predict: [ 147 189 194 671 780 1034] label_predict: [ 147 184 189 369 587 833 884 1020 1039] label_predict: [ 13 51 147 744 813 896 903 1092] label_predict: [ 121 161 369 487 498 738 813 1059 1092] label_predict: [ 79 147 188 189 518 671 780 1034 1035] label_predict: [ 147 189 671 780 813 1034] label_predict: [ 51 79 147 156 532 671 780 813 1059 1092] label_predict: [121 147 189 194 369 813]
6162it [02:25, 48.39it/s]
label_predict: [161 194 304 634 813 844 872 961] label_predict: [ 79 147 156 189 671 813 1059 1062 1092] label_predict: [ 13 51 147 671 716 813 896 1092] label_predict: [ 147 189 744 813 896 903 1092] label_predict: [ 13 147 194 369 552 671 780 925] label_predict: [ 13 480 483 501 776 830 923 1046] label_predict: [ 79 147 189 194 671 780 925 1034] label_predict: [ 51 99 147 304 718 720 813 903 1092] label_predict: [ 99 161 304 718 813 896 961 1092] label_predict: [ 147 156 189 541 542 543 738 813 949 1072 1092]
6167it [02:25, 47.12it/s]
label_predict: [ 79 194 487 813] label_predict: [ 147 189 639 671 780 1034] label_predict: [ 13 14 51 147 552 626 700 716 976 1056] label_predict: [ 13 51 79 147 369 776 813 1046] label_predict: [121 432 724 962] label_predict: [ 13 51 147 189 813] label_predict: [ 147 189 597 671 768 780 813 1034] label_predict: [ 483 494 737 738 776 813 830 1046] label_predict: [ 111 147 156 189 738 813 1046 1092]
6177it [02:26, 46.03it/s]
label_predict: [ 147 189 194 477 597 671 780 813 1034] label_predict: [ 79 121 188 582 671 1023 1059 1099] label_predict: [ 51 79 147 477 506 597 612 671 780 813 1046 1092] label_predict: [ 51 79 147 189 671 813 1059] label_predict: [ 13 51 147 189 813 1092] label_predict: [ 51 147 156 189 369 1059] label_predict: [ 25 161 813 1059 1092] label_predict: [ 51 76 147 156 212 227 339 393 477 489 584 612 671 780 813 954 1030 1059 1092] label_predict: [ 13 51 147 552 626 671 780] label_predict: [ 79 194 354 369 1059] label_predict: [ 13 51 111 147 189 420 483 573 733 737 738 776 813 1046 1092]
6188it [02:26, 48.24it/s]
label_predict: [ 507 718 813 896 903 1039 1092] label_predict: [ 79 147 194 369 477 612 671 780 1059] label_predict: [ 99 304 961 1059] label_predict: [ 147 189 671 813 1092] label_predict: [147 189 612 813 962] label_predict: [ 13 369 552 675 978 1039] label_predict: [ 79 147 156 161 194 489 584 671 780 813 1059 1062] label_predict: [ 79 147 156 189 477 671 780 1034] label_predict: [ 79 194 671 813 1059]
6198it [02:26, 44.04it/s]
label_predict: [ 13 51 147 189 626 671] label_predict: [147 156 189 485 603 607 671 695 768 780] label_predict: [ 51 79 147 477 597 639 671 738 780 813 950 1034 1035 1046 1092] label_predict: [ 147 156 541 813 949 1092] label_predict: [ 51 111 147 189 501 733 738 813 1046 1092] label_predict: [ 161 304 369 813 1059 1061] label_predict: [ 147 189 671 780 1034 1035] label_predict: [ 13 51 147 483 776 813 1046 1092] label_predict: [ 51 147 156 477 584 671 780 813 1059]
6208it [02:26, 45.06it/s]
label_predict: [ 13 147 156 194 744 813 1092] label_predict: [ 147 156 189 477 485 603 607 671 780 835 1069] label_predict: [ 13 51 111 147 189 480 483 501 737 738 776 813 1046 1092] label_predict: [ 147 189 813 835 1092] label_predict: [ 79 147 189 482 498 718 813 961 1092] label_predict: [ 13 147 796 813 896 1092] label_predict: [ 79 369 438 726 1039] label_predict: [ 51 147 189 813 1059 1092] label_predict: [ 79 189 369 1059] label_predict: [ 13 51 147 189 434 485 615 1022]
6218it [02:27, 44.18it/s]
label_predict: [ 25 79 116 125 161 194 304 487 758 1059 1062] label_predict: [ 121 552 1039] label_predict: [ 147 189 655 744 813 896 903 1092] label_predict: [ 1 33 275 420 432 582 962 1023] label_predict: [ 51 147 189 813 1092] label_predict: [ 79 147 156 194 393 477 489 612 671 780 954 1059] label_predict: [ 13 121 194] label_predict: [ 13 147 189 552 671 768 780] label_predict: [ 51 147 189 738 813 1092]
6228it [02:27, 46.20it/s]
label_predict: [ 13 51 147 189 552 626 671 780] label_predict: [ 111 147 156 189 259 733 813 835 993 1046 1092] label_predict: [ 369 1059] label_predict: [ 79 147 189 194 671 780 1034] label_predict: [ 51 147 156 189 584 671 780 813 1059 1062] label_predict: [ 79 147 156 671 780 813 1059] label_predict: [ 13 477 554 670 693 746 813 896 1092] label_predict: [ 156 189 369 587 766 1059 1084] label_predict: [ 13 14 147 552 626 1056] label_predict: [ 79 99 354 369 493 754 1039 1059]
6233it [02:27, 37.12it/s]
label_predict: [ 79 194 369 671 780 813 1059] label_predict: [ 79 147 156 194 227 477 487 584 671 780 813 1046 1059 1062 1092] label_predict: [ 51 121 188 813 1059 1092] label_predict: [ 131 147 189 671 768 780 1034] label_predict: [ 13 51 147 813 1046 1092]
6244it [02:27, 42.42it/s]
label_predict: [ 79 121 961 1039 1059] label_predict: [ 51 147 189 813 1092] label_predict: [ 147 156 189 671 780 1034] label_predict: [147 189 369 436 671 780 813] label_predict: [ 51 147 189 532 813 1022 1059] label_predict: [ 13 79 147 189 671 776 813 1034 1046] label_predict: [ 51 147 188 671 738 813 1092] label_predict: [ 99 121 161 304 489 774 1059] label_predict: [ 13 147 813 896 1092] label_predict: [ 188 304 489 612 1059] label_predict: [ 79 147 194 485 671 744 780 813 1059 1092 1099]
6250it [02:27, 44.44it/s]
label_predict: [ 13 51 147 156 189 501 738 813 1092] label_predict: [ 121 369 489 774 1059 1061] label_predict: [ 13 477 671 780 813] label_predict: [ 51 79 147 487 813 1059 1092] label_predict: [ 147 671 738 776 813 1046 1092] label_predict: [ 79 189 194 450 461 477 518 576 624 639 671 780 1034 1059] label_predict: [ 147 189 259 738 813 1046 1092] label_predict: [ 13 147 776 813 830 896 903 1046 1092] label_predict: [ 147 156 671 780 813 872 1092] label_predict: [ 79 147 156 189 194 369 477 671 780 1059]
6261it [02:28, 45.30it/s]
label_predict: [ 13 445 813 896 1092] label_predict: [ 498 718 813 896 961 1092] label_predict: [ 13 51 147 189 718 813 896 903 1092] label_predict: [ 114 161 217 236 304 1061] label_predict: [ 13 147 369 436 552 626 671] label_predict: [ 51 79 147 156 189 369 671 1059] label_predict: [ 13 127 147 552 671 675 716 780 978] label_predict: [ 147 189 418 663 718 800 813 835 1092] label_predict: [ 51 147 189 744 813 1092] label_predict: [ 13 405 896 903 1092]
6272it [02:28, 46.79it/s]
label_predict: [ 99 121 125 161 304 487 1059] label_predict: [ 147 188 189 813 1059 1092] label_predict: [ 13 147 304 552 671] label_predict: [ 13 51 147 189 813 1092] label_predict: [ 79 147 189 477 612 639 671 780 950 1034 1035] label_predict: [ 51 147 156 369 487 586 1059] label_predict: [ 13 51 147 189 813 1092] label_predict: [ 51 147 189 813 903 1092] label_predict: [ 147 369 436 744 813 896 903 1019] label_predict: [ 45 51 111 147 189 738 813 1046 1092]
6282it [02:28, 46.43it/s]
label_predict: [ 79 194 671 813 1046 1059 1092] label_predict: [ 51 147 189 738 776 813 1046] label_predict: [ 79 147 156 189 477 671 780 813 835 1059 1092] label_predict: [ 79 147 156 189 498 813 896 961 1092] label_predict: [ 99 121 1059] label_predict: [ 161 194 304 487 813 1059] label_predict: [ 79 121 161 304 487 718 813 1059] label_predict: [ 51 147 189 434 615 744 813] label_predict: [ 51 147 189] label_predict: [ 79 147 194 1059]
6292it [02:28, 46.42it/s]
label_predict: [121 724 813 962] label_predict: [ 13 147 189 430 434 501 545 559 621 622 649 738 747 871 1089 1092] label_predict: [ 188 239 489 612 671 754 780 1059] label_predict: [ 25 161 331 420 534 584 642 733 734 738 797 813 953 974 993 1059 1092] label_predict: [ 13 51 147 188 194 671 744 813 1092 1099] label_predict: [ 147 189 194 744 813 896 903 1092] label_predict: [ 147 189 813 835 1092] label_predict: [ 147 189 259 418 541 813 949 1046 1092] label_predict: [ 194 671 780 1034 1046]
6302it [02:29, 44.57it/s]
label_predict: [ 13 51 111 147 189 813 1046 1092] label_predict: [ 121 184 188 313 369 464 754 1039 1059] label_predict: [ 131 147 189 552 671 768 780 1034] label_predict: [ 13 477 670 746 813] label_predict: [ 483 501 737 738 813 931 1046] label_predict: [ 79 161 194 489 584 671 780 1059 1062] label_predict: [ 13 147 189 552 555 626 671 780] label_predict: [ 51 79 147 156 489 584 671 813 1059] label_predict: [ 147 189 430 434 501 559 813 1092]
6312it [02:29, 46.15it/s]
label_predict: [ 58 121 188 558 744 754 813] label_predict: [121 432 433 520 724] label_predict: [ 188 231 369 489 774 1039 1059] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 483 501 737 738 813 931 1046] label_predict: [ 51 79 147 156 212 339 584 612 671 780 1059] label_predict: [ 99 121 369 1039 1059] label_predict: [ 13 404 405 813 896 1092] label_predict: [ 25 161 813 1059 1092] label_predict: [ 147 156 189 259 541 542 813 1092]
6322it [02:29, 47.15it/s]
label_predict: [ 147 189 671 780 1034] label_predict: [ 99 161 189 304 718 813 961 1092] label_predict: [147 189 671 780 813] label_predict: [ 1 33 121 275 420 432 582 724 962 1023] label_predict: [ 51 147 156 189 369 671 780 1059] label_predict: [ 79 147 188 194 477 671 780 813 1046 1092] label_predict: [ 13 147 655 813 896 1092] label_predict: [ 79 147 189 813 961 1092] label_predict: [ 79 147 189 813 1059 1092] label_predict: [ 13 404 698 813 896 903 1092]
6327it [02:29, 46.86it/s]
label_predict: [ 51 79 138 147 156 188 369 477 489 612 671 780 954 1059] label_predict: [ 13 405 813 896 903 1092] label_predict: [ 13 51 147 552 626 671 780] label_predict: [ 156 189 223 245 300 337 344 355 368 369 436 587 726 766 1059 1084] label_predict: [121 147 189] label_predict: [ 79 147 189 671 780 813 1092] label_predict: [ 489 1039 1059]
6337it [02:29, 42.69it/s]
label_predict: [ 13 147 189 813 903 1092] label_predict: [ 13 405 896 903 1092] label_predict: [ 147 156 189 259 418 541 542 579 581 753 813 949 1072 1092] label_predict: [ 147 189 369 477 671 780 950 1034] label_predict: [ 79 147 156 194 671 780 813 1046 1059] label_predict: [ 147 189 744 813 1092] label_predict: [ 121 184 313 464 493 754 962 1039 1059] label_predict: [ 51 111 147 156 212 369 586 1059] label_predict: [ 161 236 304 718 738 813 955 962 1092] label_predict: [ 13 51 147 189 813 896 903 1092]
6347it [02:30, 43.80it/s]
label_predict: [ 13 51 147 813 1046 1092] label_predict: [ 13 51 147 671 813 1092] label_predict: [ 13 121 147 552] label_predict: [ 147 189 813 1092] label_predict: [ 147 813 1092] label_predict: [121 161 304 415 464 634 872 922] label_predict: [ 121 1039 1059] label_predict: [ 13 147 552 626 716 813] label_predict: [ 121 433 724 1039 1059]
6357it [02:30, 44.27it/s]
label_predict: [ 147 189 418 800 813 1092] label_predict: [ 147 189 813 1092] label_predict: [ 51 111 135 147 156 189 212 227 322 339 477 554 584 612 671 746 780 813 954 1092] label_predict: [ 79 147 189 194 655 744 813 903 1092] label_predict: [ 111 147 189 483 738 776 813 1046] label_predict: [ 147 156 189 369 671 813 1059 1092] label_predict: [ 51 147 156 189 671 813 1059 1062] label_predict: [ 51 147 189 335 738 813 1046 1092] label_predict: [ 79 147 188 189 477 639 671 780 1034 1035] label_predict: [ 79 147 189 420 813 1046 1092]
6362it [02:30, 44.10it/s]
label_predict: [ 121 188 582 597 813 1023] label_predict: [ 121 147 189 671 744 780 813 903 1092] label_predict: [ 147 189 671 780 813 1034 1046] label_predict: [ 131 147 189 378 671 768 780 1034] label_predict: [ 99 121 125 161 304 464 634 754 872] label_predict: [ 13 477 671 780 813 896 1092] label_predict: [ 121 433 1039 1059]
6372it [02:30, 41.56it/s]
label_predict: [ 121 147 1059] label_predict: [ 13 51 121 147 483 738 813 1046 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 99 121 1039 1059] label_predict: [ 13 51 147 813 1092] label_predict: [ 13 51 147 189 813 1046 1092] label_predict: [ 147 156 189 554 744 813 896 903 1092] label_predict: [ 121 147 369 586 766 1039 1059] label_predict: [ 147 189 813 835 1092] label_predict: [ 121 1039 1059]
6382it [02:30, 43.64it/s]
label_predict: [ 79 147 369 1039 1059] label_predict: [ 51 147 156 189 813 961 1092] label_predict: [ 147 189 738 813 1034 1046] label_predict: [ 13 445 813 896 903 1092] label_predict: [ 51 147 189 718 744 813 896 903 1092] label_predict: [ 13 147 189 813 896 1092] label_predict: [ 147 189 813 896 903 1092] label_predict: [ 147 189 813 896 903 1092] label_predict: [ 147 744 813 896 1092] label_predict: [ 13 51 147 480 483 519 738 776 813 1046 1092]
6392it [02:31, 45.28it/s]
label_predict: [ 79 121 189 498 718 813 1059] label_predict: [ 147 189 671 780 813 835 1092] label_predict: [ 147 189 813 1059 1092] label_predict: [ 13 14 51 147 552 555 626 671 716 780] label_predict: [ 13 615 813 896 1092] label_predict: [ 147 615 813 896 1092] label_predict: [ 51 161 369 436 720 813 1059] label_predict: [ 156 161 584 813 1059 1092] label_predict: [147 189 430 434 501 545 559 649 738 871 931] label_predict: [ 51 147 189 813 993 1092]
6402it [02:31, 45.98it/s]
label_predict: [ 13 51 147 480 483 501 519 738 776 923 1046] label_predict: [ 51 147 156 189 671 744 780 813] label_predict: [ 13 51 147 519 813 1092] label_predict: [ 13 404 405 896 903 1092] label_predict: [147 156 189 477 485 603 607 671 695 780] label_predict: [ 51 147 156 189 322 369 477 489 612 671 780 954 1059] label_predict: [ 51 147 194 813 1092] label_predict: [ 13 147 813 896 1092] label_predict: [ 147 156 189 744 813 903 1092] label_predict: [ 51 147 156 189 813 835 1092]
6412it [02:31, 46.20it/s]
label_predict: [ 79 147 156 189 671 780 813 1059 1092] label_predict: [ 51 76 147 156 189 212 671 780 813 961 1059 1062 1092] label_predict: [ 79 147 189 194 671 780 813 1059 1092] label_predict: [ 121 194 813 1059 1092 1099] label_predict: [ 79 147 184 194 1039 1059] label_predict: [ 13 121 813 1092] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 51 76 147 156 227 477 584 612 671 780 813 1059 1062 1092] label_predict: [ 51 147 156 212 369 532 671 780 813 1059] label_predict: [ 147 189 813 896 1092]
6422it [02:31, 46.81it/s]
label_predict: [ 13 45 51 147 189 744 813 896 903 1092] label_predict: [ 79 147 194 671 813 1046 1092] label_predict: [ 111 131 147 189 259 418 541 663 796 800 813 835 949 993 1046 1092] label_predict: [ 13 147 189 738 813 1046 1092] label_predict: [ 51 99 304 1059] label_predict: [ 147 189 744 813 896 903 1092] label_predict: [ 147 161 189 304 813 1059 1092] label_predict: [ 13 51 147 738 776 813 1046] label_predict: [ 51 111 147 156 189 813 1046 1092] label_predict: [ 79 188 671 738 776 1046 1059]
6433it [02:31, 46.52it/s]
label_predict: [634 872] label_predict: [ 1 33 121 369 582 1023 1034] label_predict: [ 121 369 1059] label_predict: [ 75 147 612 671 744 813 896 903 1092] label_predict: [ 147 189 194 597 671 768 780 1034 1035] label_predict: [ 147 156 189 335 418 671 780 813 1092] label_predict: [ 147 156 189 259 541 733 813 835 993 1084 1092] label_predict: [ 121 188 369 1023 1039 1059] label_predict: [ 79 147 156 189 498 813 1092] label_predict: [ 147 189 813 896 903 1092]
6443it [02:32, 43.81it/s]
label_predict: [ 79 147 189 671 780 813 1034] label_predict: [ 147 189 671 780 1034] label_predict: [ 121 147 189 433 597 718 813 835 1092] label_predict: [ 13 147 189 813 896 1092] label_predict: [ 121 147 369 1039] label_predict: [ 79 147 189 813 1059 1092] label_predict: [ 70 147 189 259 738 800 813 835 993 1046 1092] label_predict: [ 147 189 501 559 738 813 1046 1092] label_predict: [ 13 51 147 189 477 671 738 780 813 1046 1092]
6453it [02:32, 45.15it/s]
label_predict: [ 194 404 813 1020 1092] label_predict: [ 79 189 498 813 961 1092] label_predict: [ 147 189 418 541 813 949 1092] label_predict: [ 147 189 738 813 1092] label_predict: [ 147 189 552 671 768 780 1034] label_predict: [ 51 147 189 671 780 813] label_predict: [ 25 161 331 584 734 758 813 953 974 1059 1062 1092] label_predict: [ 147 189 369 436 671 720 744 1019] label_predict: [ 13 445 813 896 903 1092] label_predict: [147 189 369 671]
6464it [02:32, 47.73it/s]
label_predict: [ 79 121 184 313 754 962 1059] label_predict: [ 79 194 487 671 758 1059 1062] label_predict: [ 13 51 147 813 896 903 1092] label_predict: [ 51 79 147 156 194 227 322 369 477 612 671 780 813 954 1092] label_predict: [ 147 189 813 896 1092] label_predict: [ 51 147 189 744 813 896 903 1092] label_predict: [ 79 188 194 489 1059] label_predict: [ 147 156 671 813 896 1059 1092] label_predict: [ 79 147 156 189 489 671 780 813 1059 1092] label_predict: [ 121 464 1039] label_predict: [ 51 79 147 156 189 477 671 780 813 1046 1059 1092]
6474it [02:32, 46.38it/s]
label_predict: [ 121 184 304 369 464 634 872 1039 1059] label_predict: [125 161 304 464 495 634 754 872] label_predict: [131 147 189 552 671 768 780] label_predict: [ 147 189 597 671 768 780 813 1034 1092] label_predict: [ 2 3 4 8 10 11 13 16 17 18 19 20 22 24 25 29 30 31 36 37 38 39 41 44 45 47 48 49 52 54 56 57 59 62 63 66 73 74 76 77 78 79 80 84 87 89 90 92 93 94 98 101 102 103 108 109 111 112 115 116 117 119 120 121 123 124 126 127 128 129 130 132 133 136 138 141 142 144 146 151 152 155 158 160 161 164 166 167 171 173 176 177 179 181 189 190 191 199 200 203 205 206 213 221 226 229 232 233 236 238 239 241 242 245 246 247 248 251 253 255 256 257 264 265 266 268 269 272 273 274 275 277 278 279 280 281 282 283 284 285 286 288 289 293 294 296 297 299 301 303 304 305 306 307 310 311 312 313 315 316 317 320 323 327 328 330 332 334 335 337 340 341 342 343 344 346 347 350 353 356 357 359 365 367 368 370 371 373 374 375 383 385 386 387 388 389 391 392 394 396 397 398 402 403 404 410 415 416 417 418 419 421 422 424 425 427 431 433 439 442 443 449 451 456 457 458 459 462 464 465 466 469 470 471 473 474 475 478 479 480 481 484 486 487 490 492 493 501 506 512 513 516 522 528 529 531 533 536 537 540 541 543 544 547 549 553 555 557 559 562 563 565 566 568 569 571 575 580 581 582 583 587 589 590 592 595 596 597 598 600 602 605 606 607 608 611 613 614 616 617 619 620 623 624 631 634 635 638 640 641 646 647 650 651 652 653 654 658 660 662 663 665 669 670 671 673 675 677 679 681 682 684 691 693 694 695 697 698 700 702 703 704 705 707 708 710 712 714 715 716 718 719 722 723 724 733 735 738 739 741 742 743 744 745 747 748 749 752 756 766 774 775 776 777 779 781 786 788 792 793 796 797 799 807 808 810 811 815 817 818 819 822 825 826 828 829 830 831 834 837 838 841 844 847 849 851 854 855 856 859 860 862 864 869 872 874 875 879 880 882 883 886 887 889 892 893 894 895 900 901 902 905 906 908 909 910 912 914 915 920 921 925 927 928 931 932 935 936 937 938 939 941 943 944 947 949 953 954 955 958 965 967 968 973 978 980 982 984 986 987 988 989 990 991 993 996 1001 1002 1007 1009 1010 1011 1012 1013 1015 1017 1018 1022 1023 1024 1025 1026 1028 1030 1032 1034 1037 1039 1040 1041 1043 1044 1045 1048 1050 1052 1053 1054 1055 1056 1058 1059 1062 1064 1065 1069 1070 1071 1074 1075 1077 1078 1079 1081 1082 1083 1084 1085 1086 1088 1092 1094 1095 1096 1098 1099 1100 1101] label_predict: [ 51 79 147 156 189 671 1059] label_predict: [ 79 147 156 189 194 671 780 813 1059 1092] label_predict: [ 121 147 161 189 304 369 450 558 597 744 813 903 1059] label_predict: [189 304 369 464 634 872]
6484it [02:33, 43.05it/s]
label_predict: [ 51 79 147 156 189 194 671 780 813 1046 1092] label_predict: [ 51 147 189 813] label_predict: [ 51 79 147 156 189 369 378 813 1059 1062] label_predict: [ 99 121 304 415 464 884 1039] label_predict: [ 147 194 744 813 896 903 1092] label_predict: [ 13 51 147 156 189 813 1092] label_predict: [ 13 51 147 189 718 813 896 903 1092] label_predict: [ 147 189 597 671 768 780 1034 1035] label_predict: [ 79 147 156 194 487 813 1059 1092]
6494it [02:33, 45.38it/s]
label_predict: [ 13 156 189 369 587 1084] label_predict: [ 13 79 147 156 671 813 896 1092] label_predict: [ 121 184 369 420 464 582 754 962 1023 1059] label_predict: [ 51 147 189 813 1092] label_predict: [ 25 116 161 331 425 487 534 611 642 734 738 758 800 813 844 897 953 974 993 1059 1092] label_predict: [ 51 147 189 738 813 1092] label_predict: [ 79 147 738 776 813 830 1046] label_predict: [ 13 51 147 718 813 896 903 1092] label_predict: [ 156 189 300 369 587 726 766 994 1020 1084] label_predict: [ 147 189 813 1046 1092]
6499it [02:33, 46.10it/s]
label_predict: [ 13 14 51 147 552 567 626 671 780 1056] label_predict: [ 51 147 189 744 813 896 903 1092] label_predict: [ 51 147 156 189 813 1092] label_predict: [ 13 51 147 189 813 1046 1092] label_predict: [ 147 189 800 813 1092] label_predict: [ 79 194 304 487 489 1059 1062] label_predict: [ 51 147 189 813 1092] label_predict: [ 121 147 189 450 558 744 813 1092] label_predict: [ 147 188 189 552 639 671 780 1034] label_predict: [ 13 51 147 189 744 813 896 903 1092]
6510it [02:33, 45.93it/s]
label_predict: [ 79 194 487 813 1059 1062] label_predict: [ 51 121 147 552 1046] label_predict: [ 147 189 194 671 780 813 1034 1046 1092] label_predict: [ 147 156 332 541 542 671 813 888 949 1092] label_predict: [ 51 147 156 189 227 283 322 420 477 489 554 584 612 671 738 776 780 813 954 1046 1059 1092] label_predict: [ 194 738 813 1046 1092] label_predict: [ 79 147 156 184 369 612 671 1059] label_predict: [ 51 111 147 189 480 483 501 733 737 738 776 813 975 1046 1092] label_predict: [121 147 433 558 744 903] label_predict: [ 194 477 671 780 813 1092]
6520it [02:33, 47.58it/s]
label_predict: [ 147 189 418 813 1046 1092] label_predict: [ 79 194 304 487 758 1059 1062] label_predict: [ 51 147 189 413 430 434 501 554 559 615 621 744 747 813 871 1092] label_predict: [ 79 121 147 189 482 497 498 813 961 1092] label_predict: [ 79 147 189 194 482 487 498 671 718 813 1059 1062 1092] label_predict: [ 79 121 147 189 420 671 1059] label_predict: [ 147 156 189 259 744 813 835 896 1092] label_predict: [ 13 51 147 189 671 780 813 1092] label_predict: [ 147 304 489 612 744 813 903 1059] label_predict: [ 51 147 189 813 1092]
6530it [02:34, 44.94it/s]
label_predict: [ 147 189 369 436 558 744 813 903 1092] label_predict: [ 79 147 189 671 780 1034 1035] label_predict: [ 51 147 538 616 733 734 813 952 993 1092] label_predict: [ 45 51 111 147 189 434 480 483 501 737 738 776 813 975 1046] label_predict: [ 51 147 156 189 482 498 813 961 1059 1092] label_predict: [ 13 477 501 554 670 671 746 813 975] label_predict: [ 79 147 189 194 671 780 813 1092] label_predict: [ 51 121 147 156 189 813 1059]
6541it [02:34, 42.93it/s]
label_predict: [ 13 147 189 552 671 768 780] label_predict: [ 79 147 188 498 671 780 813 1034 1046 1092] label_predict: [ 13 147 189 369 552 671 768 780 1034] label_predict: [ 13 121 415 433 464 493 840 922 1039] label_predict: [ 147 189 1039 1059] label_predict: [ 147 156 189 259 418 541 542 813 835 949 1072 1092] label_predict: [ 79 147 156 194 671 813 1059 1092] label_predict: [ 125 161 304 1059] label_predict: [ 51 111 147 189 480 483 501 737 738 776 813 923 1046]
6551it [02:34, 45.50it/s]
label_predict: [ 147 156 189 259 418 541 813 949 1092] label_predict: [ 79 147 156 188 189 477 597 671 780 835] label_predict: [ 51 147 189 1022] label_predict: [ 147 156 189 259 418 541 813 835 1092] label_predict: [ 79 147 156 189 1059] label_predict: [ 13 121 194 1034] label_predict: [ 51 79 147 156 477 612 671 780 813 1046 1059 1092] label_predict: [ 147 189 430 434 501 559 738 813 835 1092] label_predict: [ 25 161 194 584 734 813 1059 1092] label_predict: [ 51 147 156 189 671 738 813 1092]
6561it [02:34, 46.17it/s]
label_predict: [ 51 79 147 156 189 671 780 813 1059 1062 1092] label_predict: [ 13 99 121 552 978] label_predict: [ 79 147 156 189 194 487 671 780 813 1059 1062 1092] label_predict: [ 147 189 259 813 1046 1092] label_predict: [ 147 156 189 259 418 541 542 813 835 1072 1092] label_predict: [ 99 125 161 192 304 331 493 495 1059] label_predict: [ 121 813 896 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 147 156 189 430 434 554 559 744 813 835 1092] label_predict: [125 161 304 634 872]
6566it [02:34, 44.98it/s]
label_predict: [ 147 189 418 813 835 1046 1092] label_predict: [ 51 79 147 188 189 477 489 612 671 780 813 1046 1092] label_predict: [ 147 156 369 586 587 766 833 1020 1039 1059] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 13 51 147 552 671 780] label_predict: [ 99 147 189 718 813 896 961 1092] label_predict: [ 51 147 189 413 430 434 554 559 597 603 813 835 858] label_predict: [ 147 156 188 189 428 485 615 671 744 803 813 832 835 890 1092 1099] label_predict: [ 121 420 582 724 962 1023 1059]
6577it [02:35, 46.75it/s]
label_predict: [ 51 147 189 813 835 1092] label_predict: [121 304 415 464 872] label_predict: [ 156 189 300 369 587 726 766 994 1020 1084] label_predict: [ 99 125 161 304 464 634 754 872 922] label_predict: [ 147 189 552 671 780 1034] label_predict: [ 99 121 304 1039 1059] label_predict: [147 189 634 671 780 840 872] label_predict: [ 121 194 369 433 813 1034 1099] label_predict: [ 51 147 189 671 813 1092] label_predict: [ 615 813 896 1092]
6587it [02:35, 46.48it/s]
label_predict: [ 51 147 188 671 744 813 1092 1099] label_predict: [ 51 147 156 188 189 369 477 489 612 671 780] label_predict: [ 51 147 813 1046 1092] label_predict: [ 369 436 720 813 1019] label_predict: [ 13 420 477 519 537 670 733 734 755 813 1092] label_predict: [ 70 147 189 434 738 813 835 1046 1092] label_predict: [ 79 147 156 189 541 813 949 1092] label_predict: [121 432 433 724 962] label_predict: [ 51 76 79 147 156 189 212 487 671 780 813 961 1059 1062 1092] label_predict: [ 13 14 147 552 626 671 780 1056]
6597it [02:35, 44.87it/s]
label_predict: [ 147 156 189 259 418 541 542 579 813 835 949 1072 1092] label_predict: [ 13 147 189 813 896 903 1092] label_predict: [ 51 111 147 189 483 738 776 813 1046 1092] label_predict: [ 13 51 147 189 335 501 733 738 744 813 1046 1092] label_predict: [ 51 147 813 896 1092] label_predict: [ 79 147 194 369 489 671 813 1059] label_predict: [ 13 404 405 896 1092] label_predict: [ 51 147 189 477 612 671 780 813 1046 1092] label_predict: [ 13 147 405 813 896 903 1092]
6607it [02:35, 44.58it/s]
label_predict: [ 121 184 189 369 1039] label_predict: [ 147 156 189 259 418 541 542 813 949 1092] label_predict: [ 147 189 813 896 1046 1092] label_predict: [ 79 147 189 482 497 498 813 961 1059 1092] label_predict: [ 483 501 737 738 813 1046] label_predict: [ 51 147 156 189 584 671 780 1059] label_predict: [ 51 121 147 189 482 498 813 961 1092] label_predict: [ 13 445 554 670 693 729 813 896 1092]
6612it [02:35, 41.07it/s]
label_predict: [ 147 156 189 369 552 597 671 682 684 738 754 780 872 1034] label_predict: [ 13 51 147 156 813 896 1092] label_predict: [ 147 156 189 671 813 961 1092] label_predict: [ 79 194 813 844 1092] label_predict: [ 79 147 156 189 465 671 738 813 1046 1059 1062 1092] label_predict: [ 194 813 844 1092] label_predict: [ 51 79 147 156 189 628 813 1059 1062] label_predict: [ 147 156 189 813 1059 1092] label_predict: [ 99 121 125 161 304 487 1059] label_predict: [ 25 161 194 369 487 813 1059 1092]
6623it [02:36, 43.85it/s]
label_predict: [ 13 14 51 147 552 626 671 716 749 780] label_predict: [ 79 121 189 813 1039] label_predict: [ 698 813 896 1092] label_predict: [ 13 147 156 194 369 671 780 813 896 1092] label_predict: [ 147 189 813 1092] label_predict: [ 51 147 156 189 541 813 1046 1092] label_predict: [ 79 194 420 813 844 1092] label_predict: [ 147 189 813 835 1092] label_predict: [ 13 51 121 147 552 626 671 780]
6633it [02:36, 41.93it/s]
label_predict: [ 188 194 671 734 813 1092 1099] label_predict: [ 13 51 147 156 189 231 335 420 501 580 733 738 744 813 835 1046 1092] label_predict: [ 13 813 896 1092] label_predict: [ 13 51 147 483 738 776 813 1046] label_predict: [147 615 744 813 896] label_predict: [ 51 147 194 477 671 780 813 950 1092] label_predict: [ 121 369 586 1039] label_predict: [ 13 405 813 896 903 1092] label_predict: [ 51 147 189 813 835 1046 1092]
6643it [02:36, 43.58it/s]
label_predict: [ 13 51 147 189 813 1092] label_predict: [121 498 813 961] label_predict: [ 13 51 147 189 420 501 733 738 813 1046 1092] label_predict: [ 121 671 1059] label_predict: [ 147 156 189 259 418 420 462 541 542 616 733 734 800 813 835 993 994 1084 1092] label_predict: [ 95 99 121 161 304 415 718 813 1092] label_predict: [ 147 189 813 961 1092] label_predict: [ 147 189 430 434 501 559 738 813 1092] label_predict: [ 79 121 147 420 813 962 1059]
6653it [02:36, 43.62it/s]
label_predict: [ 111 147 156 189 813 1046 1092] label_predict: [ 13 51 147 813 896 1092] label_predict: [ 156 189 300 369 587 726 766 1020 1059 1084] label_predict: [ 121 433 1059] label_predict: [ 79 147 194 671 780 813 1046 1059] label_predict: [ 51 147 189 744 813 896 903 1092] label_predict: [ 147 156 189 259 418 541 542 813 835 1092] label_predict: [ 58 121 147 189 554 558 744 764 813 903 1092] label_predict: [ 99 121 420 433 517 718 738 813 962 1092]
6659it [02:36, 45.74it/s]
label_predict: [121 415 464 684 724 955] label_predict: [ 99 161 304 331 487 489 718 758 774 813 1059] label_predict: [ 99 161 304 718 813 896 961 1092] label_predict: [ 79 194 420 489 671 780 813 1059] label_predict: [ 51 147 813 1092] label_predict: [ 25 161 331 534 584 734 813 1059 1092] label_predict: [ 51 99 121 304 489 1059] label_predict: [ 51 147 189 1059] label_predict: [ 79 194 487 1059] label_predict: [ 51 147 189 813 1092]
6669it [02:37, 46.38it/s]
label_predict: [ 79 121 194 487 1059 1062] label_predict: [ 121 369 464 1039 1059] label_predict: [ 13 147 189 655 744 813 903 1092] label_predict: [ 58 121 182 188 239 428 558 724 744 754 903 922 955] label_predict: [121 161 304 369 415 464 955] label_predict: [ 51 147 156 227 322 339 584 612 671 780 813 954 1059 1092] label_predict: [ 147 156 189 738 813 1046 1092] label_predict: [ 51 147 189 813 1046 1092] label_predict: [ 147 189 477 552 671 768 780 1034] label_predict: [ 147 156 189 813 835 1092]
6679it [02:37, 45.26it/s]
label_predict: [ 51 147 189 498 813 961 1092] label_predict: [ 13 14 51 147 552 626 716] label_predict: [ 79 121 147 194 776 830 1046 1099] label_predict: [ 33 35 99 313 420 738 835 955 962] label_predict: [ 13 147 369 552 716] label_predict: [ 51 79 147 189 304 369 436 671 780 1059] label_predict: [ 55 131 147 189 552 671 768 780] label_predict: [147 156 189 477 485 603 671 695 780]
6689it [02:37, 43.36it/s]
label_predict: [ 13 404 405 896 903 1092] label_predict: [ 147 189 813 896 1092] label_predict: [ 13 51 147 189 434 554 744] label_predict: [ 147 156 189 194 477 671 780 813 1092] label_predict: [ 99 121 161 304 489 758 774 1059] label_predict: [ 147 189 418 541 800 813 1092] label_predict: [ 51 79 147 189 671 780 813 1034] label_predict: [ 79 147 156 189 813 961 1092] label_predict: [ 13 51 147 744 813 1092]
6699it [02:37, 43.92it/s]
label_predict: [ 51 79 121 147 1059] label_predict: [ 147 189 306 744 811 813 895 903 1092] label_predict: [ 51 147 189 733 738 813 1046 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 13 51 111 147 189 480 483 501 737 738 776 813 923 1046] label_predict: [ 51 147 189 718 813 1092] label_predict: [ 51 79 147 189 212 671 813 1059] label_predict: [ 79 147 189 498 813 1092] label_predict: [ 147 189 430 434 501 545 559 738 747 813 1092] label_predict: [ 121 420 582 962 1023]
6709it [02:38, 46.46it/s]
label_predict: [161 304 813 962] label_predict: [ 1 33 420 582 962 1023] label_predict: [ 13 51 147 744 813 896 952 1092] label_predict: [ 147 189 813 835 1092] label_predict: [ 79 188 189 477 487 489 612 671 780 1059 1062] label_predict: [ 147 156 189 332 541 744 813 903 1092] label_predict: [ 121 813 903 1059] label_predict: [ 13 51 147 189 434 501 559 615 813 1022] label_predict: [ 147 189 671 780 1034] label_predict: [ 79 487 671 1059 1062]
6714it [02:38, 45.67it/s]
label_predict: [ 79 121 189 194 498 813 1059 1062] label_predict: [ 121 369 433 563 566 582 615 813 1023 1034 1061 1099] label_predict: [ 13 51 147 189 430 434 501 559 813 1092] label_predict: [ 51 147 156 189 744 813 1059 1092] label_predict: [ 51 147 189 434 813 835 858] label_predict: [ 131 147 189 378 671 768 780 1034] label_predict: [ 147 156 189 744 813 835 903 962 1092] label_predict: [ 121 184 313 962 1039 1059]
6724it [02:38, 42.08it/s]
label_predict: [ 1 33 256 275 369 432 582 724 962 1023 1061] label_predict: [ 51 111 147 483 737 738 776 813 1046 1092] label_predict: [ 51 147 194 813 1059 1092] label_predict: [121 147] label_predict: [ 147 189 418 541 663 800 813 835 949 1092] label_predict: [ 147 483 738 776 813 1046 1092] label_predict: [147 188 189 369 671] label_predict: [ 79 147 188 420 477 489 612 671 738 780 813 1046 1059 1062] label_predict: [ 13 51 147 744 813 896 903 952 1092] label_predict: [ 13 147 813 896 903 1092]
6734it [02:38, 44.45it/s]
label_predict: [ 51 147 156 189 369 436 671 720 780 1059] label_predict: [ 51 147 189 813 896 1092] label_predict: [ 13 147 369 978] label_predict: [ 147 189 369 671 780 1034] label_predict: [ 147 813 1059 1092] label_predict: [ 79 147 420 671 776 780 813 1046 1092] label_predict: [ 111 147 189 259 813 835 1046 1092] label_predict: [ 79 194 369 489 671 1059] label_predict: [ 99 121 189 498 718 813 1092] label_predict: [ 51 147 156 189 369 1059]
6744it [02:38, 46.38it/s]
label_predict: [ 13 51 111 147 189 483 738 776 813 830 1046 1092] label_predict: [ 13 718 813 896 1092] label_predict: [ 79 147 194 671 780 1034 1046] label_predict: [ 369 487 1059] label_predict: [ 184 369 766 1039 1059] label_predict: [121 147 189 813] label_predict: [ 25 161 534 611 734 738 800 813 953 974 993 1059 1092] label_predict: [ 79 147 156 161 194 584 671 813 1059 1092] label_predict: [ 51 111 147 189 813 1046 1092] label_predict: [ 79 147 194 369 813 1059 1092]
6754it [02:39, 45.88it/s]
label_predict: [ 51 147 189 744 813 835 903 1092] label_predict: [ 13 477 670 813 1092] label_predict: [ 147 156 189 259 541 800 813 835 1092] label_predict: [ 79 180 188 428 477 671 733 744 803 813 1046 1092 1099] label_predict: [ 147 718 813 896 1092] label_predict: [ 51 147 369 436 671 744 813 1019] label_predict: [ 127 156 189 245 289 300 368 369 436 587 766 1020 1059 1084] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 147 747 813 1092]
6764it [02:39, 45.28it/s]
label_predict: [ 99 121 189 482 498 718 813 1092] label_predict: [ 111 147 189 744 813 896 903 1092] label_predict: [ 13 14 51 147 552 626 671 780] label_predict: [ 111 147 189 813 1092] label_predict: [147 369 813] label_predict: [ 13 51 147 813 896 903 1092] label_predict: [ 79 121 194 487 671 813 1059 1062 1092] label_predict: [ 147 189 501 738 813 1046 1092] label_predict: [ 13 51 147 189 744 813 896 903 1092] label_predict: [ 147 189 813 1046 1092]
6774it [02:39, 45.91it/s]
label_predict: [ 156 189 300 369 587 726 766 994 1020 1059 1084] label_predict: [ 79 194 487 1059 1062] label_predict: [ 35 420 718 738 813 835 962] label_predict: [121 415 724 955 962] label_predict: [ 51 111 147 156 189 813 1046 1092] label_predict: [ 13 79 147 156 671 780 1059 1062 1092] label_predict: [ 79 147 188 189 671 780 813 1034 1035 1092] label_predict: [ 99 161 718 813 896 961 1092] label_predict: [ 51 147 189 194 671 738 780 813 1034 1059] label_predict: [ 147 189 671 744 780 813 903 1092]
6784it [02:39, 44.98it/s]
label_predict: [ 51 147 189 813 1092] label_predict: [ 147 189 663 800 813 835 1092] label_predict: [ 483 737 738 776 813 830 1046 1092] label_predict: [ 70 147 189 259 418 541 800 813 835 949 1092] label_predict: [ 13 51 147 189 552 671 780 1034] label_predict: [ 147 156 189 671 744 780 813 835 858 1062 1092] label_predict: [121 194 813 844] label_predict: [ 79 194 369 671 813 1059] label_predict: [ 51 111 147 189 483 738 776 813 1046 1092]
6794it [02:39, 44.41it/s]
label_predict: [ 13 51 147 189 813 896 1092] label_predict: [ 13 445 457 813 896 903 1092] label_predict: [121 147 433 552] label_predict: [ 13 51 131 147 189 552 671 768 780 1034] label_predict: [ 13 445 813 896 903 1092] label_predict: [ 147 189 738 813 1046 1092] label_predict: [ 99 718 813 896 1092] label_predict: [ 51 79 147 156 189 194 227 369 489 584 612 671 780 813 954 1030 1059 1092] label_predict: [ 147 189 718 800 813 896 1092]
6804it [02:40, 45.07it/s]
label_predict: [ 51 147 189 813 1092] label_predict: [ 79 121 304 754 1059] label_predict: [ 51 79 147 156 189 420 477 671 780 813 1046 1092] label_predict: [ 13 121 147 188 189 552 671 744 813 1092] label_predict: [ 369 587 766 1020 1039 1059] label_predict: [ 147 189 259 418 800 813 835 1046 1092] label_predict: [ 369 438 726 766 1039] label_predict: [ 13 51 147 189 552 671 780 813 1092] label_predict: [ 13 51 147 189 335 744 813 1092]
6814it [02:40, 44.47it/s]
label_predict: [ 51 79 147 189 369 597 671 780] label_predict: [ 51 147 194 671 744 780 813 1092 1099] label_predict: [ 79 147 489 671 1059] label_predict: [ 121 147 304 369 436 552 720 840 1039] label_predict: [ 51 147 189 430 434 501 559 738 747 813 1092] label_predict: [ 51 147 189 671 780 813 1092] label_predict: [ 13 813 896 903 1092] label_predict: [ 121 482 498 718 813 961 1092] label_predict: [ 51 79 147 156 194 369 477 489 612 671 780 954] label_predict: [ 79 147 156 194 477 489 584 612 671 780 813 954 1046 1059 1062 1092]
6819it [02:40, 44.48it/s]
label_predict: [ 147 156 189 259 541 542 813 1092] label_predict: [ 13 41 51 147 552 671 768 780] label_predict: [ 13 477 671 813 1092] label_predict: [ 99 121 718 1059] label_predict: [ 188 744 803 813 1092 1099] label_predict: [121 125 161 304 634 754 872 922] label_predict: [ 51 369 813 1019 1059] label_predict: [ 147 156 189 259 541 813 835 1092] label_predict: [ 51 79 147 188 189 369 477 597 671 780 813 1034 1059]
6829it [02:40, 44.48it/s]
label_predict: [ 13 14 51 127 147 552 655 671 716 780] label_predict: [ 121 188 498 582 1023 1059] label_predict: [ 121 161 498 813 961 1092] label_predict: [ 147 194 552 671 780 813 1034 1092] label_predict: [ 147 189 813 1092] label_predict: [ 51 147 156 189 671 780 813 1059] label_predict: [147 156 189 477 485 603 671 780] label_predict: [ 147 156 189 541 813 949 961 1092] label_predict: [ 79 189 194 671 813 1059 1062]
6839it [02:41, 44.36it/s]
label_predict: [ 369 1039 1059] label_predict: [ 121 194 369 433 813 1039 1059 1092] label_predict: [ 147 189 813 962 1092] label_predict: [ 13 79 147 188 189 477 552 671 780 813 1046] label_predict: [ 13 147 189 552 671 780] label_predict: [ 147 188 189 428 671 744 803 813 1092 1099] label_predict: [ 147 189 671 780 1034] label_predict: [ 147 156 189 671 780 813 835 1034 1092] label_predict: [ 51 147 156 212 339 477 584 671 780 813 1059 1062 1092] label_predict: [ 99 161 304 464 634 754 872]
6849it [02:41, 44.93it/s]
label_predict: [ 147 189 671 780 813 835 1092] label_predict: [ 147 189 813 896 903 1092] label_predict: [ 79 194 487 671 780 1059 1062] label_predict: [ 13 813 896 903 1092] label_predict: [147 189 552 597 671 768 780] label_predict: [ 79 147 189 194 813 1092] label_predict: [ 51 79 147 156 189 482 498 813 961 1092] label_predict: [ 51 147 156 189 369 626 671 1059] label_predict: [ 13 51 147 189 813 1092]
6859it [02:41, 45.60it/s]
label_predict: [ 147 156 189 332 418 541 542 579 581 753 796 813 949 1072 1092] label_predict: [ 51 147 156 628 671 1059] label_predict: [ 13 51 111 147 189 738 813 1046 1092] label_predict: [ 147 304 369 1059] label_predict: [147 156 189 485 671 780] label_predict: [ 99 121 161 304 1059 1061] label_predict: [ 51 147 189 430 434 559 738 813 1092] label_predict: [ 13 51 147 189 813 896 1092] label_predict: [ 51 147 189 498 813 961 1092] label_predict: [ 51 147 189 813 835 1046 1092]
6869it [02:41, 44.98it/s]
label_predict: [ 79 121 962 1059] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 121 188 189 813 1023 1034] label_predict: [ 51 79 147 156 194 227 477 489 584 612 671 780 954 1059] label_predict: [ 79 147 189 194 498 671 718 813 1059 1092] label_predict: [ 147 189 744 813 896 903 1092] label_predict: [ 147 194 552 671 780 1034] label_predict: [ 79 194 487 813 1059 1062] label_predict: [ 58 121 188 428 558 724 744 955]
6879it [02:41, 43.25it/s]
label_predict: [121 184 304 313 369 415 464 872 962] label_predict: [ 51 99 304 813 1059] label_predict: [ 51 147 586 1039 1059] label_predict: [ 79 147 188 227 420 477 487 612 671 737 738 776 780 813 1046 1062 1092] label_predict: [ 13 14 51 147 552 626 1056] label_predict: [ 51 79 147 156 671 1059] label_predict: [ 51 147 189 194 485 744 813 1092 1099] label_predict: [ 99 121 189 498 718 813 896 961 1092] label_predict: [ 13 51 147 813 896 1092]
6884it [02:42, 40.00it/s]
label_predict: [121 161 304 415 464 634 872] label_predict: [147 189 420 671 738 813 835 962] label_predict: [ 13 51 111 147 813 1046 1092] label_predict: [ 147 189 671 780 1034 1035] label_predict: [ 13 147 813 896 1092] label_predict: [ 51 147 189 194 813 1092] label_predict: [ 51 79 147 156 189 194 477 489 612 671 780 954 1059] label_predict: [ 51 147 156 189 369 436 671 720 780 813 1059]
6894it [02:42, 42.99it/s]
label_predict: [ 51 147 156 189 744 813 835 1092] label_predict: [ 188 369 1059] label_predict: [ 13 147 194 552 671 780 813 1092] label_predict: [ 51 147 189 813 1092] label_predict: [121 161 204 304 415 634 872 961] label_predict: [ 79 147 156 194 489 584 671 780 813 1059 1092] label_predict: [ 147 813 896 1092] label_predict: [ 156 189 300 369 587 726 766 1020 1084] label_predict: [ 13 14 147 552 626 671 780] label_predict: [ 194 304 487 758 1059]
6904it [02:42, 44.95it/s]
label_predict: [ 79 121 724 962 1059] label_predict: [147 156 189 485 607 671 695 780] label_predict: [ 147 194 671 780 1092] label_predict: [ 13 405 896 903 1092] label_predict: [ 79 121 184 194 962 1059] label_predict: [ 79 147 156 194 584 612 671 780 813 1059] label_predict: [ 147 156 189 259 663 800 813 835 1092] label_predict: [ 188 813 1092] label_predict: [ 147 156 189 587 813 961 1059 1084] label_predict: [ 51 147 189 744 813 896 903 1092]
6914it [02:42, 44.24it/s]
label_predict: [ 51 147 744 813 1092] label_predict: [ 13 147 156 189 369 587 766 1084] label_predict: [ 79 147 189 671 768 780 1034 1035] label_predict: [ 121 369 726 1039] label_predict: [121 415 487 684 955] label_predict: [ 51 147 189 813 1092] label_predict: [ 13 121 477 813] label_predict: [ 25 161 194 1059] label_predict: [ 121 188 813 1039 1059]
6924it [02:42, 44.39it/s]
label_predict: [ 25 121 161 369 813 1059 1092] label_predict: [ 51 147 156 189 541 813 1046 1092] label_predict: [ 147 189 259 800 813 835 1092] label_predict: [ 51 79 147 156 189 194 489 584 671 780 1059] label_predict: [ 147 813 1059 1092] label_predict: [ 13 51 147 189 813 1092] label_predict: [121 724 813] label_predict: [ 13 445 813 896 1092] label_predict: [ 13 147 655 776 813 830 1046 1092]
6934it [02:43, 45.01it/s]
label_predict: [ 79 121 184 313 962 1039 1059] label_predict: [ 13 51 147 189 744 813 896 903 1092] label_predict: [ 111 147 189 259 813 1046 1092] label_predict: [ 147 189 738 813 1046 1092] label_predict: [ 121 718 813 896 962 1092] label_predict: [ 51 121 147 813 896 1092] label_predict: [ 161 189 204 304 872 1059] label_predict: [ 79 147 189 194 671 1059] label_predict: [ 13 51 147 813 896 1092] label_predict: [ 79 194 313 438 962 1039 1059]
6944it [02:43, 46.15it/s]
label_predict: [ 79 194 489 612 671 780 1059] label_predict: [ 51 147 189 813 1092] label_predict: [ 156 189 245 300 337 355 369 554 587 726 766 1020 1059 1084] label_predict: [ 147 189 554 558 612 744 811 813 896 903 1092] label_predict: [ 79 147 156 189 194 671 780 813 1046 1059] label_predict: [ 147 189 369 436 671 780 1059] label_predict: [ 35 99 313 420 738 962] label_predict: [ 51 147 156 189 532 671 1059] label_predict: [ 99 121 718 813] label_predict: [ 13 480 483 738 776 830 923 1046]
6954it [02:43, 45.42it/s]
label_predict: [ 13 14 51 147 552 567 626 671 780 1056] label_predict: [ 147 189 671 780 1034] label_predict: [ 58 147 188 189 477 558 597 671 744 780 813 835 903 1092] label_predict: [ 147 189 671 780 1034] label_predict: [ 147 194 813 896 1092] label_predict: [ 99 161 304 718 813 961 1092] label_predict: [ 79 194 354 487 1059 1062] label_predict: [121 194 420 754 813 844] label_predict: [ 13 14 51 147 552 626 671 1056]
6959it [02:43, 38.77it/s]
label_predict: [ 131 147 189 671 768 780 1034] label_predict: [ 13 79 147 671 780 813 1046] label_predict: [ 51 147 189 813 1092] label_predict: [ 79 147 189 194 369 612 671 744 780 813 1059] label_predict: [ 51 147 212 369 1039 1059] label_predict: [ 51 76 147 156 189 227 339 671 780 813 961 1092] label_predict: [ 13 127 147 552 716] label_predict: [ 13 405 813 896 903 1092] label_predict: [ 147 188 189 671 813 1092]
6969it [02:43, 41.51it/s]
label_predict: [ 111 147 189 259 420 483 738 776 813 1046 1092] label_predict: [ 13 51 147 189 813 896 1092] label_predict: [ 188 369 563 1019 1059 1061 1099] label_predict: [ 147 189 813 1059 1092] label_predict: [ 79 194 487 813 844] label_predict: [ 51 111 147 189 483 738 776 813 1046 1092] label_predict: [ 13 51 147 189 813 1092] label_predict: [ 51 147 156 189 813 961 1059 1092] label_predict: [ 13 51 147 189 813 1092] label_predict: [ 51 111 147 189 483 737 738 776 813 1046 1092]
6979it [02:44, 42.70it/s]
label_predict: [ 51 147 189 813] label_predict: [ 79 121 188 239 369 487 498 813 1059] label_predict: [ 51 76 147 156 189 227 339 671 780 813 961 1092] label_predict: [ 51 147 189 538 541 616 813 949 1092] label_predict: [ 13 147 369 552 626 671 780] label_predict: [ 51 79 147 194 420 477 480 483 671 737 738 776 780 813 830 1046] label_predict: [ 13 477 813 896 1092] label_predict: [ 147 189 259 541 813 1046 1092] label_predict: [ 121 161 487 498 813 1059 1092]
6989it [02:44, 43.39it/s]
label_predict: [ 111 147 156 189 259 420 541 813 835 1046 1092] label_predict: [ 79 147 156 189 671 780 813 1059 1062 1092] label_predict: [ 79 121 182 194 813 872] label_predict: [ 51 147 189 744 813 896 1092] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 1 33 420 582 738 955 962 1023] label_predict: [ 189 430 434 483 501 545 559 737 738 813 931 1032 1046 1092] label_predict: [ 79 121 189 369 833 884 1039 1059] label_predict: [ 13 445 457 477 755 813 896 1092]
6999it [02:44, 44.26it/s]
label_predict: [ 51 79 147 189 671 780 813 1046 1092] label_predict: [ 79 194 477 671 738 776 780 813 1046 1059] label_predict: [184 369 754] label_predict: [ 147 189 663 813 835 1092] label_predict: [ 13 489 552 716 1059] label_predict: [ 13 14 51 147 552 626 671 780 1056] label_predict: [ 13 51 147 189 716 718 813 896 903 1092] label_predict: [ 121 147 304 369 813 1059] label_predict: [ 111 147 189 483 737 738 776 813 1046 1092] label_predict: [ 147 189 663 800 813 1092]
7009it [02:44, 44.27it/s]
label_predict: [ 13 147 189 813 896 903 949 1092] label_predict: [ 51 147 189 538 616 733 734 813 993 1092] label_predict: [ 13 194 404 655 813 1020 1092] label_predict: [ 147 156 189 498 813 961 1092] label_predict: [ 13 51 147 552 626 671 780 813] label_predict: [ 13 51 147 552 626 671 780] label_predict: [ 116 161 304 487 1059] label_predict: [ 615 813 896 1092] label_predict: [ 51 147 156 189 212 515 554 671 813 1059] label_predict: [ 51 99 161 194 304 813 961 1059 1092]
7019it [02:45, 44.43it/s]
label_predict: [ 147 189 597 671 780 1034] label_predict: [121] label_predict: [ 121 369 464 493 1039] label_predict: [ 194 485 671 744 780 813 1046 1092 1099] label_predict: [ 13 404 405 896 903 1092] label_predict: [369 726] label_predict: [ 147 156 189 541 796 813 896 1092] label_predict: [ 121 188 189 369 428 582 597 724 813 1023 1099] label_predict: [ 51 147 189 554 744 813 896 903 1092]
7030it [02:45, 46.11it/s]
label_predict: [121 415 464 872 955 962] label_predict: [121 147 464 813 872] label_predict: [ 79 147 156 194 612 671 780 1046 1059 1062] label_predict: [304 813] label_predict: [ 13 405 896 903 1092] label_predict: [ 51 147 156 227 584 671 780 813 954 1030 1046 1092] label_predict: [ 79 121 147 189 498 813 961 1092] label_predict: [ 147 189 335 671 780 1034] label_predict: [ 13 147 813 896 1092] label_predict: [ 111 147 189 259 813 835 1092]
7040it [02:45, 47.66it/s]
label_predict: [ 147 189 420 671 780 813 835 1034 1092] label_predict: [ 79 147 156 189 194 813 1092] label_predict: [ 13 405 813 896 1092] label_predict: [ 51 147 283 532 1022 1059] label_predict: [ 147 156 189 259 663 800 813 835 1092] label_predict: [ 121 433 520 724 962 1039] label_predict: [ 121 433 1039 1059] label_predict: [ 51 111 147 189 738 776 813 1046 1092] label_predict: [ 51 147 156 189 212 283 369 515 584 671 780 813 1059] label_predict: [ 13 147 554 746 813 896 903 1092]
7050it [02:45, 47.06it/s]
label_predict: [ 147 156 189 259 418 541 813 835 949 1092] label_predict: [ 99 121 161 194 304 464 634 813 872] label_predict: [ 147 189 259 813 835 1092] label_predict: [ 121 1059] label_predict: [ 111 147 189 480 483 501 737 738 776 813 931 1046] label_predict: [ 51 76 79 147 156 189 227 671 780 813 961 1062 1092] label_predict: [ 51 147 156 189 212 671 780 813 1059 1092] label_predict: [ 51 147 156 189 369 586 587 766 833 1039 1059] label_predict: [ 147 189 450 558 671 744 813 903 1059] label_predict: [ 13 147 189 813 1092]
7055it [02:45, 45.33it/s]
label_predict: [ 79 147 156 189 477 671 780 813 1034 1046 1092] label_predict: [ 147 188 498 813 1092] label_predict: [ 51 79 147 189 671 780 1059 1062] label_predict: [ 51 147 156 189 369 671 780 813] label_predict: [ 79 147 189 477 671 780 813 1034] label_predict: [ 79 147 189 194 477 639 671 780 1034 1059] label_predict: [ 51 147 156 189 813 1059 1092] label_predict: [ 121 147 189 724 813 1059] label_predict: [ 58 121 188 428 558 724 744 754 955]
7065it [02:46, 44.22it/s]
label_predict: [ 13 127 147 552] label_predict: [ 51 76 147 156 189 227 252 477 671 780 813 961 1092] label_predict: [ 79 147 188 477 518 671 780 1034 1035 1059] label_predict: [ 13 51 147 189 718 813 896 903 1092] label_predict: [ 51 79 147 156 477 487 671 780 1059 1062] label_predict: [ 51 147 156 189 586 1059] label_predict: [ 147 156 189 332 418 541 542 579 796 813 949 1072 1092] label_predict: [ 194 813 896 1034 1092] label_predict: [ 121 147 189 671 780 813 1034 1046]
7075it [02:46, 44.76it/s]
label_predict: [ 147 189 420 813 835 1092] label_predict: [ 13 51 147 189 813 896 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 25 161 180 194 420 423 425 444 534 584 611 642 707 722 733 734 738 751 797 800 813 897 953 974 993 1059 1092] label_predict: [ 51 147 189 194 813 1046 1092] label_predict: [ 13 445 477 670 813 1092] label_predict: [ 121 738 813 962 1092] label_predict: [ 147 189 434 501 738 813 1092] label_predict: [ 147 156 189 541 542 813 949 1092] label_predict: [ 51 147 156 227 322 369 477 612 671 780 813 954 1092]
7086it [02:46, 47.57it/s]
label_predict: [ 147 189 738 813 1092] label_predict: [ 147 189 813 1092] label_predict: [ 121 194 813 1059 1092] label_predict: [ 304 813 1061] label_predict: [ 147 189 744 811 813 835 903 1092] label_predict: [ 147 420 738 813 835 962 1092] label_predict: [ 79 147 671 813 896 1059 1092] label_predict: [ 51 79 147 156 369 489 584 612 671 1059] label_predict: [ 79 194 487 671 780 1059 1062] label_predict: [ 147 189 418 541 796 813 949 1072 1092] label_predict: [ 147 813 896 1092]
7097it [02:46, 49.01it/s]
label_predict: [ 483 501 737 738 813 931 1046] label_predict: [ 51 79 147 156 189 612 671 780 813 1059 1092] label_predict: [ 51 147 156 227 322 369 477 554 612 671 780 813 929 954 1092] label_predict: [ 121 433 1039] label_predict: [ 147 156 189 259 420 541 663 813 835 1046 1092] label_predict: [ 13 147 698 813 896 903 1092] label_predict: [ 51 147 156 189 515 628 813 1059] label_predict: [ 147 156 189 259 418 541 542 579 813 949 1092] label_predict: [ 147 813 896 903 1092] label_predict: [ 13 404 405 896 903 1092]
7107it [02:47, 45.65it/s]
label_predict: [ 194 404 655 671 744 813 1020 1046 1092] label_predict: [ 13 405 896 903 1092] label_predict: [ 79 147 156 189 194 477 671 780 813 1034 1059] label_predict: [ 79 147 189 194 671 780 1034] label_predict: [ 51 121 147 189 436 655 671 780 813 1092] label_predict: [ 99 161 304 718 813 961 1092] label_predict: [ 147 189 813 835 1092] label_predict: [147 156 189 485 603 607 671 695 780] label_predict: [147 304 369 464 634 872]
7118it [02:47, 47.09it/s]
label_predict: [ 13 147 813 896 1092] label_predict: [ 13 51 147 813 896 1092] label_predict: [ 121 304 369 1059 1061] label_predict: [ 79 194 1059] label_predict: [ 194 404 568 655 744 813 1020 1092 1099] label_predict: [ 125 161 304 487 813 1059] label_predict: [ 18 25 161 194 331 534 584 734 758 813 953 974 1059 1062 1092] label_predict: [ 51 111 147 189 480 483 738 776 813 1046] label_predict: [ 147 156 189 477 485 603 607 671 695 780 1069] label_predict: [ 51 147 813 1046 1092]
7128it [02:47, 47.35it/s]
label_predict: [ 13 51 147 519 813 1092] label_predict: [ 79 138 188 189 477 487 489 612 671 780 1062] label_predict: [ 79 194 1059] label_predict: [ 51 147 189 434 813 1092] label_predict: [ 147 813 896 1092] label_predict: [ 99 161 304 718 774 813] label_predict: [ 13 51 147 477 671 744 813 1092] label_predict: [ 51 147 156 189 194 813 1046 1092] label_predict: [ 51 111 147 189 501 738 813 1046 1092] label_predict: [ 51 147 189 597 738 744 813 835 1092]
7138it [02:47, 46.83it/s]
label_predict: [ 111 147 189 420 483 573 738 776 813 830 1046 1092] label_predict: [ 13 147 813 896 903 1092] label_predict: [ 13 121 188 597 724 813 1092 1099] label_predict: [ 483 501 737 738 813 1046] label_predict: [ 147 180 188 231 428 615 744 803 813 1092 1099] label_predict: [ 51 147 813 1059 1092] label_predict: [ 33 99 313 420 738 813 835 962] label_predict: [ 483 737 738 776 813 830 1046] label_predict: [ 13 51 147 552 716] label_predict: [ 13 121 194 813 1059 1092 1099]
7148it [02:47, 46.04it/s]
label_predict: [121 189 552] label_predict: [ 121 813 1092] label_predict: [147 156 189 671 780 813 835] label_predict: [ 121 147 189 671 780 813 1034 1046 1092] label_predict: [ 13 477 813 1092] label_predict: [ 51 111 147 156 189 259 420 733 738 776 813 1046 1092] label_predict: [147 189 430 434 480 483 501 545 559 737 738 813 871 931] label_predict: [ 13 127 147 552 626] label_predict: [ 13 147 189 813 896 903 1084 1092] label_predict: [ 51 99 161 304 774 1059]
7153it [02:47, 45.90it/s]
label_predict: [ 79 147 188 189 477 612 671 780 1059] label_predict: [ 13 813 1092] label_predict: [ 51 79 147 156 189 212 227 339 477 487 584 671 780 813 1059 1062 1092] label_predict: [ 13 41 51 147 552 671 768 780] label_predict: [ 13 51 147 189 813 1092] label_predict: [ 131 147 155 189 378 671 768 780 1034] label_predict: [ 13 79 147 189 813 1092] label_predict: [ 51 147 189 612 671 754 780 813] label_predict: [ 13 121 430 434 501 545 559 738 813 1092]
7164it [02:48, 46.70it/s]
label_predict: [ 51 111 147 156 189 541 616 813 1046 1092] label_predict: [ 13 41 147 189 552 671 768 780] label_predict: [ 51 147 156 189 436 498 813 1059 1092] label_predict: [ 121 433 1046] label_predict: [ 147 189 369 436 1059] label_predict: [ 13 51 147 189 552 655 671 780 813 1092] label_predict: [ 51 147 154 156 189 348 369 477 671 744 780 813 889 903 1059 1080 1092] label_predict: [ 51 79 147 156 671 780 1059 1062] label_predict: [ 45 111 147 189 480 483 501 733 737 738 776 813 923 1046] label_predict: [ 45 147 189 259 744 813 835 1092]
7174it [02:48, 46.91it/s]
label_predict: [ 121 464 634 754 872 1039] label_predict: [ 79 147 189 194 420 489 584 671 813 835 1059] label_predict: [ 111 147 189 501 545 580 737 738 813 993 1046 1092] label_predict: [ 79 304 487 671 758 1059 1062] label_predict: [ 147 156 189 418 430 434 501 541 559 813 835 949 1092] label_predict: [ 51 79 147 189 671 744 813 1059] label_predict: [ 147 156 189 259 418 541 542 813 835 1020 1072 1092] label_predict: [ 51 121 147 189 813 1059] label_predict: [ 51 79 147 369 489 493 612 671 780 1059] label_predict: [ 147 369 720 1059]
7184it [02:48, 47.55it/s]
label_predict: [ 147 189 194 671 780 1034] label_predict: [ 194 480 483 494 725 737 738 744 776 813 826 830 1046 1092] label_predict: [ 79 194 489 584 671 780 813 844 1059] label_predict: [ 147 189 430 434 501 559 738 813 1046 1092] label_predict: [ 121 194 282 489 716 978 1059] label_predict: [ 121 147 188 189 744 813 903 1092] label_predict: [ 51 147 189 335 813 1092] label_predict: [ 121 147 188 671 780 813 1092] label_predict: [ 121 369 433 1034 1039 1061] label_predict: [ 51 147 188 189 744 813 1059 1092]
7194it [02:48, 47.12it/s]
label_predict: [ 13 405 776 813 830 896 1046 1092] label_predict: [ 13 813 896 903 1092] label_predict: [ 121 433 1039] label_predict: [ 147 156 813 1092] label_predict: [ 79 147 189 194 489 671 780 1059] label_predict: [ 79 147 156 189 194 813 1059 1092] label_predict: [ 147 156 189 259 418 541 542 813 835 1072 1092] label_predict: [ 79 121 184 433 1059] label_predict: [ 147 189 418 597 671 738 780 813 835 1092]
7204it [02:49, 43.05it/s]
label_predict: [ 51 147 188 189 744 813 896 1092] label_predict: [147 156 189 485 603 671 695 780] label_predict: [ 156 189 300 355 369 554 587 726 766 994 1020 1084] label_predict: [ 51 111 147 189 420 483 737 738 776 813 1046 1092] label_predict: [ 79 147 194 477 671 738 780 813 1034 1046 1092] label_predict: [ 13 14 51 147 552 671 780] label_predict: [ 79 147 156 188 420 671 813 1024 1092] label_predict: [ 79 147 188 189 671 780 1034 1059] label_predict: [121 415 464 487 681 684 748 925 955]
7214it [02:49, 44.10it/s]
label_predict: [121 147 189 671 780] label_predict: [ 147 189 306 744 811 813 896 903 1092] label_predict: [ 79 121 194 415 487 663 684 703 704 724 735 738 748 809 813 844 961 1092] label_predict: [ 51 111 147 189 616 733 813 1046 1092] label_predict: [ 51 147 189 813 896 903 1092] label_predict: [ 51 147 156 189 212 671 744 813 903 1059] label_predict: [ 51 147 156 189 744 813 896 903 1092] label_predict: [ 147 156 189 259 418 541 813 949 1092] label_predict: [ 51 147 189 434 615 1022] label_predict: [ 51 147 156 189 212 813 1059 1092]
7224it [02:49, 42.97it/s]
label_predict: [ 13 51 147 671 813 1092] label_predict: [ 194 480 483 494 737 738 776 813 830 1046 1092] label_predict: [ 131 147 189 378 671 768 780 1034] label_predict: [ 51 79 147 156 189 194 369 465 487 671 738 780 833 1059 1062] label_predict: [ 161 194 304 487 813 1059] label_predict: [ 13 147 189 671 780 1034] label_predict: [ 79 121 161 194 487 813 1059 1062] label_predict: [ 147 156 189 671 813 949 1092] label_predict: [ 147 189 369 671 744 813 1034]
7234it [02:49, 44.55it/s]
label_predict: [ 13 51 147 189 671 780 1092] label_predict: [ 51 147 189 671 780 813 1092] label_predict: [147 156 189 477 485 603 671 780] label_predict: [ 111 147 189 738 813 1046 1092] label_predict: [ 147 189 259 418 796 800 813 949 1092] label_predict: [ 13 14 51 127 147 552 555 626 671 780 925] label_predict: [147 156 189 477 485 603 671 695 780 835] label_predict: [ 13 51 147 698 744 813 896 952 1092] label_predict: [ 79 121 147 189 194 369 438 671] label_predict: [ 121 369 487 497 498 813 961 1059 1092]
7239it [02:49, 43.75it/s]
label_predict: [ 147 189 671 768 780 1034] label_predict: [ 13 147 189 813 1092] label_predict: [ 18 25 51 61 99 125 161 304 331 489 584 758 774 1059] label_predict: [ 13 147 189 552 671 780] label_predict: [ 147 189 418 541 542 796 813 949 1072 1092] label_predict: [ 184 304 369 464 634 754 872 1059] label_predict: [ 79 121 189 420 1059] label_predict: [ 51 147 477 554 615 671 744 780 1059] label_predict: [ 99 161 304 718 813 961 1092] label_predict: [ 111 147 189 738 776 813 1046 1092]
7250it [02:50, 45.50it/s]
label_predict: [ 147 369 671 780 1034] label_predict: [ 13 194 404 813 1092] label_predict: [ 147 189 194 369 671 738 780 813 1046 1059 1092] label_predict: [ 51 147 156 369 477 612 671 780 813 954 1059] label_predict: [147 156 189 813] label_predict: [ 147 369 1059] label_predict: [ 13 51 147 554 744 813 896 903 1092] label_predict: [ 51 147 813 1092] label_predict: [ 51 147 189 335 477 639 671 738 780 813 1034 1035 1046]
7260it [02:50, 44.95it/s]
label_predict: [ 147 189 259 418 541 663 800 813 835 993 1092] label_predict: [ 111 147 189 259 813 835 1046 1092] label_predict: [ 51 111 147 189 813 835 1046 1092] label_predict: [ 51 147 161 813 1059 1092] label_predict: [ 813 1046 1092] label_predict: [121 147 189 194 420 597 671] label_predict: [ 111 147 483 737 738 776 813 830 1046 1092] label_predict: [ 79 147 156 189 194 489 612 671 780 1059] label_predict: [ 79 147 194 487 671 1059 1062] label_predict: [ 51 111 135 147 156 227 322 554 584 612 671 746 780 954 1059]
7270it [02:50, 45.93it/s]
label_predict: [184 189 304 369 464 634 872] label_predict: [ 51 147 189 744 813 835 896 903 1092] label_predict: [ 147 189 744 813 896 903 1092] label_predict: [ 121 147 189 813 896 1092] label_predict: [ 114 121 217 236 304 774 1039 1061] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 13 51 147 420 480 483 501 737 738 776 813 830 1046 1092] label_predict: [ 147 156 189 420 671 744 813 835 1092] label_predict: [ 147 189 259 418 663 800 813 835 1092] label_predict: [ 121 188 487 813 1059]
7281it [02:50, 47.51it/s]
label_predict: [ 121 180 188 813 1092 1099] label_predict: [ 79 147 156 189 498 813 1092] label_predict: [ 79 147 189 194 671 813 1059] label_predict: [ 51 111 147 189 813 835 903 1046 1092] label_predict: [ 147 156 189 482 498 813 961 1092] label_predict: [ 483 737 738 776 813 1046] label_predict: [ 25 121 161 194 487 498 813 1059 1092] label_predict: [121 161 304 415 724 735 744 809 813 922 955 962] label_predict: [ 147 156 189 259 418 541 542 813 949 1072 1092] label_predict: [ 79 161 194 304 487 718 813 844 961 1059 1092]
7291it [02:51, 47.43it/s]
label_predict: [ 13 51 147 813 896 903 1092] label_predict: [ 79 121 194 369 813 1059 1092] label_predict: [ 79 121 487 1059 1062] label_predict: [ 430 434 483 494 501 545 548 559 737 738 931 1032 1040 1046] label_predict: [ 147 189 194 671 780 1034] label_predict: [ 188 489 647 1059 1062] label_predict: [ 51 79 147 156 189 554 612 671 780 1059] label_predict: [ 51 147 156 189 744 813 896 903 1092] label_predict: [ 99 121 125 161 304 634 872] label_predict: [147 189 813]
7301it [02:51, 47.75it/s]
label_predict: [147 156 189 485 603 671 780 813 835] label_predict: [ 79 184 487 1059] label_predict: [ 13 480 483 776 830 1046] label_predict: [ 51 121 147 738 813 1046 1092] label_predict: [ 51 111 147 189 259 813 1046 1092] label_predict: [ 147 189 813 896 1092] label_predict: [ 79 194 487 624 671 1059 1062] label_predict: [121 182 464 634 754 872] label_predict: [ 13 51 147 813 896 1092] label_predict: [ 147 156 189 813 1092]
7311it [02:51, 44.13it/s]
label_predict: [ 51 147 156 212 304 339 487 584 612 671 758 780 1030 1059] label_predict: [121 147 189 420 738 813 835 962] label_predict: [ 33 99 313 420 738 813 835 955 962] label_predict: [ 79 477 487 671 780 1046 1059 1062] label_predict: [ 188 464 1039 1059] label_predict: [ 127 147 369 587 766 1020 1039 1059] label_predict: [ 147 189 671 780 813 835 1046 1092] label_predict: [ 147 189 552 597 671 768 780 1034]
7316it [02:51, 42.71it/s]
label_predict: [ 51 79 147 156 189 369 671 780 813 1059] label_predict: [ 147 189 420 738 813 835 962 1092] label_predict: [ 51 813 1046 1059] label_predict: [ 147 189 194 671 768 780 1034] label_predict: [121 147 188 189 597 671 813] label_predict: [ 13 51 147 189 716 718 813 896 903 1092] label_predict: [ 111 147 189 738 776 813 1046 1092] label_predict: [ 434 480 483 501 737 738 776 813 1046] label_predict: [ 51 79 147 189 482 498 720 813 961 1092]
7326it [02:51, 44.46it/s]
label_predict: [ 13 147 552 626 671 780] label_predict: [ 13 404 405 896 903 1092] label_predict: [ 13 420 445 477 537 655 670 733 734 755 813 975 1092] label_predict: [ 13 121 432 433 718 724 813] label_predict: [ 147 813 896 1092] label_predict: [ 13 147 189 552 671 780] label_predict: [ 121 369 420 428 433 582 724 738 813 1023 1059 1099] label_predict: [ 51 111 147 189 480 483 501 737 738 776 813 830 923 1046] label_predict: [ 483 501 737 738 776 813 830 1046]
7336it [02:52, 43.15it/s]
label_predict: [ 147 420 738 776 813 1046 1092] label_predict: [ 147 188 189 671 780 1034] label_predict: [ 79 147 189 194 671 780 1034] label_predict: [ 13 14 51 147 552 626 671 780 1056] label_predict: [ 51 79 147 189 335 671 738 780 813 1034 1046 1092] label_predict: [ 13 79 147 655 671 780 813 1046 1092] label_predict: [ 79 188 369 563 813 1034 1061 1099] label_predict: [ 51 147 156 212 671 744 780 813 889 1059 1080 1092] label_predict: [ 51 147 156 189 212 227 283 515 584 671 813 961 1059 1062 1092] label_predict: [ 79 121 194 282 369 489 1039 1059]
7346it [02:52, 44.44it/s]
label_predict: [ 51 147 189 194 477 597 671 780 1034] label_predict: [ 51 147 156 189 671 813 1059 1092] label_predict: [ 615 813 896 1092] label_predict: [ 13 147 369 671 1059] label_predict: [ 13 51 147 189 369] label_predict: [ 13 51 147 776 813 1046] label_predict: [ 147 189 671 768 780 1034] label_predict: [ 121 369 1039] label_predict: [ 147 156 189 813 961 1092] label_predict: [ 79 369 489 1039 1059]
7356it [02:52, 46.57it/s]
label_predict: [ 79 147 156 487 671 813 961 1046 1059 1062 1092] label_predict: [147 189 369 552 671 720] label_predict: [ 13 51 147 483 738 776 813 1046 1092] label_predict: [ 51 147 189 813 1092] label_predict: [ 51 147 189 485 671 744 780 813 1092] label_predict: [ 121 304 369 813 1059] label_predict: [ 79 121 194 813 844 1059] label_predict: [ 13 51 147 552 626] label_predict: [ 79 194 671 780 813 1046 1092 1099] label_predict: [ 121 369 436 766 819 1039 1059] label_predict: [ 79 354 489 671 1059]
7367it [02:52, 44.88it/s]
label_predict: [ 51 147 189 813 1059 1092] label_predict: [ 79 147 156 194 322 584 612 671 780 813 1059 1062] label_predict: [ 188 189 369 671 780 1034] label_predict: [ 483 737 738 776 813 830 1046] label_predict: [ 51 147 188 189 420 477 597 671 744 813 835 1059 1092] label_predict: [ 111 147 189 738 776 813 1046] label_predict: [ 147 156 189 259 663 813 835 1092] label_predict: [ 13 51 147 194 655 744 813 1092] label_predict: [ 13 147 552 671 780 813 888 1092]
7377it [02:52, 45.56it/s]
label_predict: [ 194 480 483 494 737 738 744 776 813 830 923 1046 1092] label_predict: [147 156 189 485 603 607 671 695 780] label_predict: [ 51 147 189 671 780 813 1059 1092] label_predict: [ 51 147 189 194 813 896 903 1092] label_predict: [ 161 304 1059] label_predict: [ 79 121 189 482 487 498 813 961 1092] label_predict: [ 13 51 111 147 189 738 813 1046 1092] label_predict: [ 51 147 189 813 896 1092] label_predict: [ 51 147 156 189 212 227 584 671 780 813 1059 1062 1092] label_predict: [147 156 189 477 485 603 607 671 695 780 835]
7387it [02:53, 45.50it/s]
label_predict: [ 29 147 156 189 332 541 542 671 813 949 1072 1092] label_predict: [ 13 51 147 744 813 896 1092] label_predict: [ 121 147 671 1059] label_predict: [ 147 189 718 813 896 903 1092] label_predict: [ 79 194 489 584 671 1059] label_predict: [ 13 51 131 147 189 552 671 780 813] label_predict: [ 147 189 612 744 811 813 835 896 903 1092] label_predict: [ 147 189 813 1046 1092] label_predict: [ 483 494 501 516 548 549 737 738 776 813 923 924 931 993 1033 1046] label_predict: [ 51 79 147 156 189 477 612 671 744 780 813 903 1092]
7397it [02:53, 46.19it/s]
label_predict: [ 13 405 813 896 1092] label_predict: [ 147 189 418 541 813 835 949 1092] label_predict: [ 147 156 189 541 542 813 949 993 1072 1092] label_predict: [ 121 161 194 239 487 813 844 1059 1092] label_predict: [ 13 51 147 156 227 671 813 896 961 1092] label_predict: [ 99 121 161 304 634 718 813 872 1092] label_predict: [ 121 188 369 718 1039 1059] label_predict: [ 51 147 156 189 744 813 835 1092] label_predict: [ 51 147 189 813 896 1092] label_predict: [ 13 51 147 813 896 1092]
7407it [02:53, 46.80it/s]
label_predict: [147 189 552 626 671 780] label_predict: [ 13 14 51 147 552 626 671 780] label_predict: [ 79 156 194 369 436 671 780 1059] label_predict: [ 13 147 552 626 671 813 1092] label_predict: [ 51 147 156 189 744 813 835 903 1092] label_predict: [ 194 738 813 1059 1092] label_predict: [ 161 189 498 718 813 1092] label_predict: [ 147 156 189 813 1059] label_predict: [ 13 51 147 194 480 483 737 738 776 813 830 1046 1092] label_predict: [ 79 161 188 194 671 1059]
7418it [02:53, 40.78it/s]
label_predict: [ 194 404 813 1020 1046 1092] label_predict: [ 13 445 457 477 670 671 813 896 1092] label_predict: [ 147 189 430 434 501 545 559 738 813 931 1046 1092] label_predict: [ 188 304 489 612 671 780 1059] label_predict: [ 13 477 670 671 746 813] label_predict: [ 79 147 156 189 369 671 780 813 1059 1092] label_predict: [121 204 304 813] label_predict: [ 79 147 156 194 477 489 584 612 671 780 1059] label_predict: [ 79 147 156 188 189 671 780 1034 1035] label_predict: [ 79 147 188 189 518 552 671 780 1035]
7428it [02:54, 43.07it/s]
label_predict: [ 51 111 135 147 156 227 283 322 369 477 489 554 584 612 671 746 780 954 1059] label_predict: [ 79 147 813 1046 1059 1092] label_predict: [ 51 147 189 813 1046 1092] label_predict: [ 13 41 51 147 552 626 671 768 780] label_predict: [ 13 404 405 896 903 1092] label_predict: [147 189 552 671 768 780] label_predict: [ 51 79 147 776 813 1046 1059 1092] label_predict: [ 51 147 189 738 813 1046] label_predict: [ 51 147 189 554 612 744 811 813 896 903 1092] label_predict: [ 79 121 194 369 754 1039]
7439it [02:54, 46.19it/s]
label_predict: [ 121 813 896 903 962 1092] label_predict: [ 79 194 489 584 671 780 1059 1062] label_predict: [ 79 147 156 189 487 671 780 1059 1062] label_predict: [121 182 634 754 872 922 955] label_predict: [ 51 111 147 189 813 1046 1092] label_predict: [ 51 99 147 718 813 896 903 961 1092] label_predict: [ 13 51 147 189 718 813 896 903 1092] label_predict: [ 194 404 744 813 1020 1046 1092] label_predict: [ 121 158 184 304 369 464 1039 1059 1061] label_predict: [ 13 51 147 189 744 813 896 903 1092] label_predict:
7443it [02:54, 42.67it/s]
[ 51 147 189 418 541 813 949 1092] label_predict: [ 147 156 189 671 780 1034 1035] label_predict: [ 131 147 155 189 378 671 768 780 1034] label_predict: [ 99 161 304 487 758 813 1059]
result_predict
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285 286 289 294 296 297 299 303 304 305 306 307 311 313 315 316 317 320 323 332 334 335 337 340 341 342 343 344 346 350 356 359 365 368 374 375 383 385 386 389 392 398 402 403 404 410 417 418 419 421 422 424 425 427 431 433 439 443 451 456 458 459 460 464 465 466 469 470 471 473 475 478 484 486 487 493 501 506 512 513 522 536 537 541 543 544 547 549 559 562 563 565 566 568 569 571 575 581 582 589 592 595 596 597 598 600 602 605 606 607 608 611 614 616 617 620 623 624 635 638 640 641 646 647 650 651 652 654 658 660 662 665 669 673 675 677 681 682 684 691 693 694 695 698 700 702 704 705 707 708 712 714 715 718 722 733 735 741 742 743 744 747 748 749 752 756 772 774 776 777 781 788 793 796 797 799 807 808 811 815 817 818 819 825 828 829 831 834 837 838 841 844 847 851 854 856 860 862 864 869 874 879 880 882 883 894 900 901 902 905 906 908 909 910 912 915 925 927 928 931 932 936 937 938 939 940 941 944 947 949 954 955 958 965 967 968 973 978 984 990 991 996 1001 1002 1007 1009 1010 1011 1013 1015 1017 1023 1024 1025 1026 1030 1032 1034 1037 1039 1041 1043 1048 1052 1054 1055 1059 1062 1075 1078 1079 1082 1086 1088 1092 1094 1095 1096 1098 1099 1100', '99 121 718 813 1092', '51 79 147 156 194 227 369 477 584 612 671 780 813 954 1046 1059 1062 1092', '13 369 438 1039', '13 147 156 501 738 813 1092', '51 111 147 189 813 1046 1092', '79 147 156 189 420 477 612 671 780 813 1046 1059 1092', '13 147 189 813 896 903 1092', '147 156 189 485 603 671 780 835', '304 313 464 813 872 903 962', '51 147 189 671 738 813 1046 1092', '13 147 369 436 552 720 1059', '121 147 189 373 597 671 768 1034 1035', '147 156 189 541 813 1092', '99 121 884 1039', '13 147 554 744 813 896 903 1092', '194 477 480 483 494 725 737 738 744 776 813 826 830 923 1046', '121 1059', '147 156 189 477 485 603 607 671 780 835 1069', '79 194 487 671 813 1059 1062', '79 121 194 813 961 1059 1092', '99 161 236 304 331 489 584 758 774 1059', '99 121 482 497 498 718 813 961 1092', '51 147 189 552 639 671 780 950 1034 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1092', '79 182 194 754 922 1059', '51 147 189 744 813 896 1092', '147 189 718 813 896 1092', '51 147 189 744 813 896 1092', '51 79 147 189 194 477 612 671 780 813 1046 1059 1092', '51 147 189 813 896 903 1092', '13 147 189 813 896 1092', '13 147 189 813 1046 1092', '147 194 813 1092', '420 432 738 813 962 1092', '147 369 436 671 744 780 813', '147 156 369 586 587 766 884 1020 1039 1059', '79 147 156 194 671 813 961 1059 1092', '147 156 189 420 680 813 835 1092', '79 121 304 487 671 1059 1062', '147 189 744 813 896 903 1092', '1 33 420 582 1023', '13 51 147 477 671 738 813 1046 1092', '147 189 813 1092', '99 121 420 433', '111 147 189 259 733 734 813 835 993 1046 1092', '147 156 189 477 485 603 607 671 695 780', '161 304 813 1059', '147 189 813 896 1092', '79 194 487 671 718 1059 1062', '51 79 147 156 189 813 961 1092', '51 147 189 813 1059 1092', '147 156 189 744 813 835 1092', '13 51 147 552 671 780 813', '51 147 189 813 835 1092', '188 487 647 671 1059 1062', '51 111 147 189 738 776 813 1046 1092', '51 79 147 189 671 813 1059', '13 14 147 552 626 671 780 1056', '79 121 194 482 487 498 813 961 1059 1062', '13 147 813 896 903 1092', '147 156 189 541 813 949 1092', '313 420 738 962', '13 41 51 147 552 671 768 780', '13 147 156 227 671 780 813 872 896 961 1092', '13 41 51 131 147 552 626 671 768 780', '79 147 189 813 1059 1062', '51 147 156 189 612 655 671 744 780 813 903 1046 1092', '51 147 189 434 501 559 615 1022', '99 161 236 304 813 962', '79 147 189 597 671 768 780 1034 1035', '79 194 404 671 813 896 1092', '13 51 147 189 813 896 1092', '79 147 188 189 552 671 780 1034', '51 147 156 189 420 477 744 813 835 903 1059 1092', '121 194 239 420 813 844', '79 147 189 671 780 1034 1035', '51 147 156 189 477 612 671 780 813 1046 1059 1092', '79 147 188 189 477 597 612 671 780 813 1092', '13 41 55 131 147 189 552 626 671 768 780', '79 156 194 487 584 671 780 813 1059 1062 1092', '13 552', '51 147 188 428 671 744 803 813 1092 1099', '121 182 369 464 754 872 1039 1059', '51 111 147 189 259 738 776 813 1046 1092', '121 1039', '13 51 147 552 626 671 780', '147 189 194 369 671 813', '13 147 776 1046', '121 189 438', '79 147 189 477 671 780 813 1034 1092', '147 189 671 780 1034 1035', '127 245 300 344 368 369 587 766 1059 1084', '147 156 189 663 813 835 1092', '111 131 147 156 189 418 541 542 796 813 949 1046 1072 1092', '51 147 156 744 813 1092', '51 147 189 663 718 813 896 903 1092', '51 147 188 189 597 671 780 813 1059 1092', '147 156 189 813 961 1092', '13 147 188 369 671 813 1034 1092', '51 111 147 189 483 737 738 776 813 1046 1092', '147 156 189 485 671 780', '79 147 156 188 189 477 624 671 780 1059 1062', '13 147 813 896 903 1092', '13 121 147 432 433 552 671 724 768 780', '13 51 147 554 744 813 896 903 1092', '121 147 189 433 718 813 1092', '79 147 156 189 487 1059 1062', '13 51 147 420 477 733 744 756 813 952 1046 1092', '13 147 698 813 896 903 1092', '121 161 304 813 961', '13 147 813 896 1092', '147 738 962', '51 79 147 156 189 369 477 671 780 1059', '79 194 487 1059 1062', '147 189 813 896 1092', '147 189 194 813 1092', '51 79 147 369 671 813 1059', '51 147 189 813 1046 1092', '13 477 670 813 1092', '1 33 275 420 432 582 724 962 1023', '51 147 189 430 434 501 559 738 813 835 1092', '13 189 430 434 501 545 559 670 738 813 1092', '147 189 304 369 436 450 744 1059', '79 121 369 450 744 813 1023 1059', '147 156 189 813 1059 1092', '51 147 189 552 671 780 813 1092', '147 156 189 813 1092', '79 121 194 813 1059', '13 14 51 147 552 626 671 780 1056', '13 147 189 813 896 1092', '147 189 813 993 1046 1092', '99 161 718 813 961 1092', '79 147 194 477 671 738 776 780 813 1046 1092', '147 189 744 813 896 1092', '79 188 189 194 671 780 1059 1062', '121 304 415 464 872', '147 189 639 671 744 780 813 950 1034', '13 483 776 813 830 896 1046 1092', '147 698 813 896 1092', '13 813 896 903 1092', '79 369 438 726 1039', '51 147 189 738 813 1046 1092', '51 111 147 156 189 477 612 671 780 813 1046 1092', '13 51 147 189 813 896 1092', '13 51 147 189 519 813 1092', '13 79 147 776 813 830 1046 1092', '51 147 189 813 1092', '51 147 189 813 1092', '13 51 147 813 896 903 1092', '156 189 259 418 485 541 542 733 813 835 993 1020 1084 1092', '121 161 189 304 813 872 1092', '147 615 744 813 896 1092', '147 189 671 780 1034', '121 161 304 813', '13 405 813 896 1092', '121 147 369 433 1034', '51 147 156 369 587 766 833 1020 1039 1059', '147 189 477 639 671 780 1034 1035', '13 147 189 744 813 896 903 1092', '79 147 188 189 552 597 671 780 1034', '79 313 420 738 962', '45 111 147 189 480 483 501 737 738 776 813 923 1046', '79 147 194 671 780 813 1092', '51 79 147 156 189 420 477 489 554 584 612 671 738 780 813 835 1046 1059 1092', '51 79 147 188 189 477 639 671 738 744 780 813 950 1034 1035 1046 1092', '79 121 189 369 671 754', '194 404 655 738 744 813 1020 1046 1092 1099', '13 14 51 147 552 626 671 716 780', '51 147 156 489 584 671 1059', '51 147 189 776 813 1046 1092', '13 51 147 194 744 813 952 1092', '33 121 420 432 582 724 738 813 962 1023', '369 436 671 813 1019 1059', '131 147 189 378 597 671 768 780 1034', '121 147 161 189 204 304 450 813', '13 147 189 552 626 671 780', '51 79 147 188 189 194 477 552 639 671 780 1034 1059', ...]
submit = pd.read_csv('../input/imet-2019-fgvc6/sample_submission.csv')
submit['attribute_ids'] = result_predict
submit.to_csv('submission.csv', index=False)
submit
id | attribute_ids | |
---|---|---|
0 | 10023b2cc4ed5f68 | 121 369 587 634 766 1059 |
1 | 100fbe75ed8fd887 | 121 369 1034 1039 |
2 | 101b627524a04f19 | 79 147 189 369 498 813 961 1092 |
3 | 10234480c41284c6 | 13 51 111 147 189 483 573 738 776 813 830 1046... |
4 | 1023b0e2636dcea8 | 51 147 156 189 369 477 612 671 780 813 1092 |
5 | 1039cd6cf85845c | 13 405 896 903 1092 |
6 | 103a5b3f83fbe88 | 13 194 477 655 671 813 1092 |
7 | 10413aaae8d6a9a2 | 13 51 147 189 335 813 1092 |
8 | 10423822b93a65ab | 13 51 147 189 1059 |
9 | 1052bf702cb099f7 | 51 147 189 552 597 671 780 813 1092 |
10 | 10543c918a43a8d | 147 189 259 418 541 663 800 813 835 1046 1092 |
11 | 105c9a3453da79c3 | 121 147 189 464 493 552 840 1039 1059 |
12 | 1060688bbf6eac87 | 147 156 189 418 541 542 579 753 796 813 949 10... |
13 | 106a247caeabd15a | 79 147 194 477 552 639 671 780 950 1034 1035 |
14 | 106e21606add59f3 | 111 147 189 738 813 1046 1092 |
15 | 107c38495881b6c9 | 51 111 147 156 189 212 283 515 554 584 671 746... |
16 | 108815dd3752ab64 | 51 147 188 189 369 597 612 671 744 813 903 |
17 | 10943defdd5d5e89 | 79 99 121 182 189 369 420 754 813 1059 |
18 | 10a39a78c44ef27c | 51 147 180 188 733 744 803 813 1092 1099 |
19 | 10ab70df067bdb4 | 13 14 51 147 552 626 716 1056 |
20 | 10b28e3de3566582 | 147 188 189 552 671 780 1034 1035 |
21 | 10b32964331a6cc3 | 79 99 498 813 961 1092 |
22 | 10b4562e7fa6f668 | 147 156 189 477 485 603 607 671 780 |
23 | 10db1c338e1d822f | 51 79 147 156 188 477 489 612 671 738 780 813 ... |
24 | 10e0c215f5f3084e | 79 147 194 369 671 813 |
25 | 10e95bead8e0b35b | 51 147 189 671 813 1046 1092 |
26 | 1100d7b0f24fee88 | 111 147 189 738 776 813 1046 1092 |
27 | 11099b321e8c7066 | 147 156 189 477 485 603 671 695 780 835 |
28 | 110df388fd5c50e4 | 147 813 896 1092 |
29 | 113520ea0138f76d | 51 147 189 554 744 813 896 903 1092 |
... | ... | ... |
7413 | ff2da1f0ed3e3ebe | 13 477 670 671 746 813 |
7414 | ff3a9fa43f8eab9c | 79 147 156 189 369 671 780 813 1059 1092 |
7415 | ff44490e20740a19 | 121 204 304 813 |
7416 | ff481bb029678d5d | 79 147 156 194 477 489 584 612 671 780 1059 |
7417 | ff4c3570fb7b90d3 | 79 147 156 188 189 671 780 1034 1035 |
7418 | ff4f548d08414709 | 79 147 188 189 518 552 671 780 1035 |
7419 | ff668377a518ea5f | 51 111 135 147 156 227 283 322 369 477 489 554... |
7420 | ff6a549b2d7a0e76 | 79 147 813 1046 1059 1092 |
7421 | ff6ee1b37c8dc1ae | 51 147 189 813 1046 1092 |
7422 | ff85460d6b853b49 | 13 41 51 147 552 626 671 768 780 |
7423 | ff8721b85d1b5a5 | 13 404 405 896 903 1092 |
7424 | ff8bef7d0de52b31 | 147 189 552 671 768 780 |
7425 | ff92504c82c41e0f | 51 79 147 776 813 1046 1059 1092 |
7426 | ff9d4b77c124c9f2 | 51 147 189 738 813 1046 |
7427 | ff9ddf70cb1c2674 | 51 147 189 554 612 744 811 813 896 903 1092 |
7428 | ffaf8c3fe0b1d9b6 | 79 121 194 369 754 1039 |
7429 | ffb61df4a6734772 | 121 813 896 903 962 1092 |
7430 | ffb73f95b8721900 | 79 194 489 584 671 780 1059 1062 |
7431 | ffb937b55755323e | 79 147 156 189 487 671 780 1059 1062 |
7432 | ffbcf8b91a8e8ce0 | 121 182 634 754 872 922 955 |
7433 | ffbf4849bde21b0a | 51 111 147 189 813 1046 1092 |
7434 | ffc96e053345419d | 51 99 147 718 813 896 903 961 1092 |
7435 | ffcb16053099d795 | 13 51 147 189 718 813 896 903 1092 |
7436 | ffcf745289465074 | 194 404 744 813 1020 1046 1092 |
7437 | ffd1372fe67e65f0 | 121 158 184 304 369 464 1039 1059 1061 |
7438 | ffd79eadf642221b | 13 51 147 189 744 813 896 903 1092 |
7439 | ffd96986aa333f4d | 51 147 189 418 541 813 949 1092 |
7440 | ffe54b454396d97c | 147 156 189 671 780 1034 1035 |
7441 | ffe7d7db4e4aa37f | 131 147 155 189 378 671 768 780 1034 |
7442 | ffed0a4aca0d5457 | 99 161 304 487 758 813 1059 |
7443 rows × 2 columns