diff --git a/video.py b/video.py
deleted file mode 100644
index 6488b3dcf1023ee33bdfcdfea7ae3d10d9fded1b..0000000000000000000000000000000000000000
--- a/video.py
+++ /dev/null
@@ -1,48 +0,0 @@
-#-------------------------------------#
-#   调用摄像头或者视频进行检测
-#   调用摄像头直接运行即可
-#   调用视频可以将cv2.VideoCapture()指定路径
-#   视频的保存并不难，可以百度一下看看
-#-------------------------------------#
-import time
-
-import cv2
-import numpy as np
-from keras.layers import Input
-from PIL import Image
-
-from yolo import YOLO
-
-yolo = YOLO()
-#-------------------------------------#
-#   调用摄像头
-#   capture=cv2.VideoCapture("1.mp4")
-#-------------------------------------#
-capture=cv2.VideoCapture(0)
-
-fps = 0.0
-while(True):
-    t1 = time.time()
-    # 读取某一帧
-    ref,frame=capture.read()
-    # 格式转变，BGRtoRGB
-    frame = cv2.cvtColor(frame,cv2.COLOR_BGR2RGB)
-    # 转变成Image
-    frame = Image.fromarray(np.uint8(frame))
-    # 进行检测
-    frame = np.array(yolo.detect_image(frame))
-    # RGBtoBGR满足opencv显示格式
-    frame = cv2.cvtColor(frame,cv2.COLOR_RGB2BGR)
-    
-    fps  = ( fps + (1./(time.time()-t1)) ) / 2
-    print("fps= %.2f"%(fps))
-    frame = cv2.putText(frame, "fps= %.2f"%(fps), (0, 40), cv2.FONT_HERSHEY_SIMPLEX, 1, (0, 255, 0), 2)
-    
-    cv2.imshow("video",frame)
-    c= cv2.waitKey(1) & 0xff 
-    if c==27:
-        capture.release()
-        break
-
-yolo.close_session()
-