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A problem about transform code

See original GitHub issue

Hi,

Thanks for the great library, i see the code custom_transforms.py, in class ToTensor , mask[mask == 255] = 0 (line 127). why need to set mask == 255 to 0 ? 255 means ignore index which should not be set to background. Am i right?

Issue Analytics

State:
Created 5 years ago
Comments:7 (3 by maintainers)

Top GitHub Comments

2reactions

FJR-Nancycommented, Oct 23, 2018

@Gaoyiminggithub Yes, I have tried, before which I removed “size_average=False” in cross_entropy2d(). Because the loss value is high since the “size_average” is set to False while computing the loss. You can set it to True or just remove it – which will use “elementwise_mean” by default in PyTorch. Then you could increase the initial learning rate accordingly, maybe 0.007, which is the same as the paper. I got 66.191% after doing this compared to 65.958％.

0reactions

Gaoyiminggithubcommented, Oct 23, 2018

@FJR-Nancy Hi, have you tried other learning rate, such as 0.007 ? When i tried other larger learning rate, the miou is worse than the lr set to 1e-7. Do you know why…

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