[FFmpeg-devel] [PATCH 2/4] convert_from_tensorflow.py: add support when kernel size is 1*1 with one input/output channel (gray image)
Pedro Arthur
bygrandao at gmail.com
Thu Dec 12 18:55:28 EET 2019
Em sex., 22 de nov. de 2019 às 04:57, Guo, Yejun <yejun.guo at intel.com> escreveu:
>
> Signed-off-by: Guo, Yejun <yejun.guo at intel.com>
> ---
> 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 605158a..5e87e22 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])
>
> --
> 2.7.4
LGTM, should push soon.
>
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