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Is alpha loss calculated for all the pixels or just for certain pixels that are unknown in trimap #41

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kartikwar opened this issue Jan 21, 2021 · 1 comment

kartikwar commented Jan 21, 2021

Hi in the repo https://github.com/huochaitiantang/pytorch-deep-image-matting/

the alpha prediction loss is calculated only for pixels that are unknown in trimap

"""
wi = torch.zeros(trimap.shape)
wi[trimap == 128] = 1.
t_wi = wi.cuda()
unknown_region_size = t_wi.sum()
"""

while training are you doing something similar or is it for all pixels?

Sorry couldn't find this in paper or code

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kartikwar commented Jan 21, 2021

Also do you take average of pixels for computing loss or is it just sum of differences of alpha for each pixel ?

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