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ShadowFormer (AAAI2023), Pytorch implementation

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Thank you for your excellent work. How were the images preprocessed and augmented on the ISTD dataset? Specifically, how were scaling and random cropping configured?

In `test.py`, at line 147, the RMSE (MAE) calculation includes a multiplication by 3: ```python rmse_temp = np.abs(cv2.cvtColor(rgb_restored, cv2.COLOR_RGB2LAB) - cv2.cvtColor(rgb_gt, cv2.COLOR_RGB2LAB)).mean() * 3 ``` Could you explain the reasoning...