Chiebot-Mirror/FFmpeg - FFmpeg - Gitea: Git with a cup of tea

Author	SHA1	Message	Date
Guo, Yejun	b2683c66b2	libavfilter/dnn: add layer maximum for native mode. The reason to add this layer is that it is used by srcnn in vf_sr. This layer is currently ignored in native mode. After this patch, we can add multiple outputs support for native mode. Signed-off-by: Guo, Yejun <yejun.guo@intel.com> Signed-off-by: Pedro Arthur <bygrandao@gmail.com>	5 years ago
Guo, Yejun	022f50d3fe	libavfilter/dnn: add header into native model file Signed-off-by: Guo, Yejun <yejun.guo@intel.com> Signed-off-by: Pedro Arthur <bygrandao@gmail.com>	5 years ago
Guo, Yejun	83e0b71f66	dnn: export operand info in python script and load in c code Signed-off-by: Guo, Yejun <yejun.guo@intel.com> Signed-off-by: Pedro Arthur <bygrandao@gmail.com>	5 years ago
Guo, Yejun	2d5e39c13e	dnn: change .model file format to put layer number at the end of file currently, the layer number is at the beginning of the .model file, so we have to scan twice in python script, the first scan to get the layer number. Only one scan needed after put the layer number at the end of .model file. Signed-off-by: Guo, Yejun <yejun.guo@intel.com> Signed-off-by: Pedro Arthur <bygrandao@gmail.com>	5 years ago
Guo, Yejun	ddd92ba2c6	convert_from_tensorflow.py: support conv2d with dilation conv2d with dilation > 1 generates tens of nodes in graph, it is not easy to parse each node one by one, so we do special tricks to parse the conv2d layer. Signed-off-by: Guo, Yejun <yejun.guo@intel.com> Signed-off-by: Pedro Arthur <bygrandao@gmail.com>	5 years ago
Guo, Yejun	2c01434d60	convert_from_tensorflow.py: add option to dump graph for visualization in tensorboard Signed-off-by: Guo, Yejun <yejun.guo@intel.com> Signed-off-by: Pedro Arthur <bygrandao@gmail.com>	5 years ago
Guo, Yejun	ccbab41039	dnn: convert tf.pad to native model in python script, and load/execute it in the c code. since tf.pad is enabled, the conv2d(valid) changes back to its original behavior. Signed-off-by: Guo, Yejun <yejun.guo@intel.com> Signed-off-by: Pedro Arthur <bygrandao@gmail.com>	5 years ago
Guo, Yejun	50e194e6e1	tools/python: add script to convert TensorFlow model (.pb) to native model (.model) For example, given TensorFlow model file espcn.pb, to generate native model file espcn.model, just run: python convert.py espcn.pb In current implementation, the native model file is generated for specific dnn network with hard-code python scripts maintained out of ffmpeg. For example, srcnn network used by vf_sr is generated with https://github.com/HighVoltageRocknRoll/sr/blob/master/generate_header_and_model.py#L85 In this patch, the script is designed as a general solution which converts general TensorFlow model .pb file into .model file. The script now has some tricky to be compatible with current implemention, will be refined step by step. The script is also added into ffmpeg source tree. It is expected there will be many more patches and community needs the ownership of it. Another technical direction is to do the conversion in c/c++ code within ffmpeg source tree. While .pb file is organized with protocol buffers, it is not easy to do such work with tiny c/c++ code, see more discussion at http://ffmpeg.org/pipermail/ffmpeg-devel/2019-May/244496.html. So, choose the python script. Signed-off-by: Guo, Yejun <yejun.guo@intel.com>	5 years ago