提交 022f50d3 编写于 作者: 郭叶军's avatar 郭叶军 提交者: Pedro Arthur

libavfilter/dnn: add header into native model file

Signed-off-by: 郭叶军's avatarGuo, Yejun <yejun.guo@intel.com>
Signed-off-by: NPedro Arthur <bygrandao@gmail.com>
上级 3b3150c4
......@@ -64,6 +64,10 @@ static DNNReturnType set_input_output_native(void *model, DNNInputData *input, c
DNNModel *ff_dnn_load_model_native(const char *model_filename)
{
DNNModel *model = NULL;
char header_expected[] = "FFMPEGDNNNATIVE";
char *buf;
size_t size;
int version, header_size, major_version_expected = 0;
ConvolutionalNetwork *network = NULL;
AVIOContext *model_file_context;
int file_size, dnn_size, kernel_size, i;
......@@ -84,6 +88,41 @@ DNNModel *ff_dnn_load_model_native(const char *model_filename)
}
file_size = avio_size(model_file_context);
/**
* check file header with string and version
*/
size = sizeof(header_expected);
buf = av_malloc(size);
if (!buf) {
avio_closep(&model_file_context);
av_freep(&model);
return NULL;
}
// size - 1 to skip the ending '\0' which is not saved in file
avio_get_str(model_file_context, size - 1, buf, size);
dnn_size = size - 1;
if (strncmp(buf, header_expected, size) != 0) {
av_freep(&buf);
avio_closep(&model_file_context);
av_freep(&model);
return NULL;
}
av_freep(&buf);
version = (int32_t)avio_rl32(model_file_context);
dnn_size += 4;
if (version != major_version_expected) {
avio_closep(&model_file_context);
av_freep(&model);
return NULL;
}
// currently no need to check minor version
version = (int32_t)avio_rl32(model_file_context);
dnn_size += 4;
header_size = dnn_size;
network = av_mallocz(sizeof(ConvolutionalNetwork));
if (!network){
avio_closep(&model_file_context);
......@@ -95,8 +134,8 @@ DNNModel *ff_dnn_load_model_native(const char *model_filename)
avio_seek(model_file_context, file_size - 8, SEEK_SET);
network->layers_num = (int32_t)avio_rl32(model_file_context);
network->operands_num = (int32_t)avio_rl32(model_file_context);
dnn_size = 8;
avio_seek(model_file_context, 0, SEEK_SET);
dnn_size += 8;
avio_seek(model_file_context, header_size, SEEK_SET);
network->layers = av_mallocz(network->layers_num * sizeof(Layer));
if (!network->layers){
......
......@@ -20,6 +20,7 @@
import tensorflow as tf
import numpy as np
import sys, struct
import convert_header as header
__all__ = ['convert_from_tensorflow']
......@@ -229,6 +230,8 @@ class TFConverter:
def dump_to_file(self):
with open(self.outfile, 'wb') as f:
f.write(header.str.encode('utf-8'))
np.array([header.major, header.minor], dtype=np.uint32).tofile(f)
self.dump_layers_to_file(f)
self.dump_operands_to_file(f)
np.array([self.layer_number, len(self.name_operand_dict)], dtype=np.uint32).tofile(f)
......
# Copyright (c) 2019
#
# This file is part of FFmpeg.
#
# FFmpeg is free software; you can redistribute it and/or
# modify it under the terms of the GNU Lesser General Public
# License as published by the Free Software Foundation; either
# version 2.1 of the License, or (at your option) any later version.
#
# FFmpeg is distributed in the hope that it will be useful,
# but WITHOUT ANY WARRANTY; without even the implied warranty of
# MERCHANTABILITY or FITNESS FOR A PARTICULAR PURPOSE. See the GNU
# Lesser General Public License for more details.
#
# You should have received a copy of the GNU Lesser General Public
# License along with FFmpeg; if not, write to the Free Software
# Foundation, Inc., 51 Franklin Street, Fifth Floor, Boston, MA 02110-1301 USA
# ==============================================================================
str = 'FFMPEGDNNNATIVE'
# increase major and reset minor when we have to re-convert the model file
major = 0
# increase minor when we don't have to re-convert the model file
minor = 1
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