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Strange results #4

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asdj32n12dk opened this issue Jul 28, 2021 · 1 comment
Open

Strange results #4

asdj32n12dk opened this issue Jul 28, 2021 · 1 comment

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@asdj32n12dk
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asdj32n12dk commented Jul 28, 2021 •
edited

Hey, I'm getting strange results even on small masks. Could you confirm it should be like that or not?

[mask, damaged, generared, GT, outputs_merged]

Places365_val_00000079_10%-15%_14 73%_Places365_test_00180291
Places365_val_00000495_25%-30%_25 13%_Places365_test_00065180
Places365_val_00006189_00%-05%_04 18%_Places365_test_00273258
Places365_val_00007302_00%-05%_01 91%_Places365_test_00059890
Places365_val_00035912_00%-05%_00 37%_Places365_test_00270309
Places365_val_00032957_00%-05%_02 50%_Places365_test_00196871

BTW, the current test is still not working. So I had to make these changes:

  1. fake_images = netG(inputImgs2, masks,outputs_merged) -> returns tuple, so I had to use g_image = fake_images[0].data.cpu() instead of g_image = fake_images.data.cpu()
  2. The MECNet is not loading weights by default, so I set self.gen_weights_path = <path to MECNet.pth> manually in MECNet/models.py
@delldu
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delldu commented May 1, 2022

Compare previous BLAM, this version is bad enough.

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@delldu @asdj32n12dk