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ARShadowGAN-like realization. PyTorch.

License: MIT License

Shell 2.68% Python 97.32%
models python3 pytorch gan neural-networks colab segmentation unet shadow colab-notebook

arshadowgan-like's Issues

run test.py

error:
_jb_pytest_runner.py: error: unrecognized arguments: test.py::test_arshadowgan

Other unwanted colors appear in the test results

1.My test data only has the original image and the corresponding mask
image

image

2.I want to know what the other 3 folders are, how can I get these 3 folders if my own data set,
what's the effect
image

I see that the image resolution is 256. Is it possible to achieve any size input?

RMSE

Hello sir, I was also reading this paper recently and found the code that you reproduced. I have learned a lot. I have a question about the article. How is the RMSE calculated in the text? Is there any relevant code, because I calculate The results are very different, I hope you can reply, thank you!

pre trained models

thank you for your job
Can you upload the pre-trained models?
thank you

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