ffmpeg | branch: master | Guo, Yejun <yejun....@intel.com> | Fri Nov 22 15:50:04 2019 +0800| [e52070e89c755bffe08ecb9d9ea6be73ca1509cd] | committer: Pedro Arthur
convert_from_tensorflow.py: add support when kernel size is 1*1 with one input/output channel (gray image) Signed-off-by: Guo, Yejun <yejun....@intel.com> Signed-off-by: Pedro Arthur <bygran...@gmail.com> > http://git.videolan.org/gitweb.cgi/ffmpeg.git/?a=commit;h=e52070e89c755bffe08ecb9d9ea6be73ca1509cd --- tools/python/convert_from_tensorflow.py | 5 ++++- 1 file changed, 4 insertions(+), 1 deletion(-) diff --git a/tools/python/convert_from_tensorflow.py b/tools/python/convert_from_tensorflow.py index 605158a32e..5e87e227ea 100644 --- a/tools/python/convert_from_tensorflow.py +++ b/tools/python/convert_from_tensorflow.py @@ -193,7 +193,10 @@ class TFConverter: filter_width = ktensor.tensor_shape.dim[1].size in_channels = ktensor.tensor_shape.dim[2].size out_channels = ktensor.tensor_shape.dim[3].size - kernel = np.frombuffer(ktensor.tensor_content, dtype=np.float32) + if filter_height * filter_width * in_channels * out_channels == 1: + kernel = np.float32(ktensor.float_val[0]) + else: + kernel = np.frombuffer(ktensor.tensor_content, dtype=np.float32) kernel = kernel.reshape(filter_height, filter_width, in_channels, out_channels) kernel = np.transpose(kernel, [3, 0, 1, 2]) _______________________________________________ ffmpeg-cvslog mailing list ffmpeg-cvslog@ffmpeg.org https://ffmpeg.org/mailman/listinfo/ffmpeg-cvslog To unsubscribe, visit link above, or email ffmpeg-cvslog-requ...@ffmpeg.org with subject "unsubscribe".
