Comments (3)
If you strictly follow the readme.md and do exactly everything same, you should reproduce the results exactly same as in my github and also the paper. It won't be huge difference if you following everything and use the same image.
Make sure you are using net.train() rather than net.eval().
If you want to reproduce the table results, please using the demo.py to generate the target image and then do the comparison using SSIM.
Let me know if you have further concerns.
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Thank you. I have reproduce the results.
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Another question. If the image is not 256256 or 512512, there will be an error message:‘’invalid argument 0: Sizes of tensors must match except in dimension 1. Got 3 and 2 in dimension 2 at /opt/conda/conda-bld/pytorch_1525796793591/work/torch/lib/THC/generic/THCTensorMath.cu:111‘’.
Is there a way to run the code with input hazy image of any arbitrary size?
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Related Issues (20)
- Where is TestB & test512 just mean val512?
- 请问各位windows能运行嘛?
- Absolute value of transmission map
- how can I test this model on RESIDE outdoor dataset?
- demo error(KeyError: 'module name can\'t contain "."') HOT 4
- demo.py error
- Testing with own data HOT 1
- Do you have other links of the training data that can download in China?
- setup. py error
- ERROR: Unexpected bus error encountered in worker.
- question about my own training data HOT 1
- train.py error because of the torch.utils.serialization module lost
- RuntimeError: Error(s) in loading state_dict for dehaze: HOT 5
- SyntaxError: invalid syntax
- question of pre_trained pth_file
- train error /KeyError: 'module name can\'t contain ".", got: layer2.leakyrelu' HOT 2
- 运行train发现这么多问题 HOT 1
- 更新代码pytorch2.0.0
- Cannot download VGG16.t7 HOT 1
- Create_train.py do not work
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