Comments (3)
Dear @loaysh2010 ,
Thank you for your interest about my repo.
U_Net_valid_1_GT
also seems like grayscale.
Is this right?
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Dear @LeeJunHyun
Thank you for your quick response and concern.
Here is my Dataset samples for train and validation and test (input image and GT image ) respectively.
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In the results, except the input image and that patch size is 5 all output is ambiguous for me. I think there is something in the code I have to adapt.
all my images (both input and GT) are [1,3,256,256]. What do you think I did wrong?
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@LeeJunHyun
I solved the problem here. There is an error in the GT path given to the model. after correcting GT path the model gave excellent results. Thank you for your time and you can close the issue
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Related Issues (20)
- edge pixel weight map
- some queries HOT 1
- How long will it cost for training on DRIVE dataset?
- saving checkpoints in "model.pth" format and visualizing the segmentation results HOT 1
- JS=1,DS>1and loss>1000 HOT 1
- RuntimeError: invalid argument 0: Sizes of tensors must match except in dimension 0. Got 160 and 384 in dimension 2 at /pytorch/aten/src/TH/generic/THTensor.cpp:689 HOT 8
- Grayscale image HOT 1
- about the .pkl file HOT 2
- > hey guys. use pytorch<=1.2.0 (not confirmed) or change the funtion in "evaluation" to fit the calculation of **bool tensor** will sovle the problem HOT 1
- El
- How to train the multi-class task
- Dice coefficience
- the length variable in the solver.py,
- ValueError: num_samples should be a positive integer value, but got num_samples=0 HOT 1
- License
- the test of solver.py HOT 1
- acc error HOT 1
- Environment details HOT 2
- ValueError: num_samples should be a positive integer value, but got num_samples=0 HOT 1
- Query HOT 1
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