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As far as i understand, here https://github.com/MarcoForte/FBA_Matting/blob/master/networks/models.py#L230 resnet backbone will return such feature maps: [original_image, conv_bn_relu out, layer1 out, layer2 out, layer3 out, layer4 out]
In the decoder https://github.com/MarcoForte/FBA_Matting/blob/master/networks/models.py#L350 you concatenate: (x, conv_out[-6][:, :3], img, two_chan_trimap).
But conv_out[-6][:, :3] is the same as img. Are you sure that image should be concatenated twice?
The text was updated successfully, but these errors were encountered:
Possibly the same issue #49 (comment)
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As far as i understand, here https://github.com/MarcoForte/FBA_Matting/blob/master/networks/models.py#L230
resnet backbone will return such feature maps: [original_image, conv_bn_relu out, layer1 out, layer2 out, layer3 out, layer4 out]
In the decoder https://github.com/MarcoForte/FBA_Matting/blob/master/networks/models.py#L350
you concatenate: (x, conv_out[-6][:, :3], img, two_chan_trimap).
But conv_out[-6][:, :3] is the same as img. Are you sure that image should be concatenated twice?
The text was updated successfully, but these errors were encountered: