06 2024 档案
摘要：conda install pytorch=1.11 torchvision cudatoolkit=10.2 -c pytorch pip install matplotlib scikit-learn scikit-image opencv-python yacs joblib natsort
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摘要：out = torch.cat((out, out[:, :, :, :padding_cols]), dim=3)
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摘要：pred_mean = pred.float().mean() label_img_mean = label_img.float().mean() pred_adjust = torch.clamp((pred * (label_img_mean / pred_mean)), 0, 1) per_p
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摘要：real_input_mean_gray = real_input_img.float().mean() syn_lable_mean_gray = label_img.float().mean() real_img_adjust = torch.clamp((real_input_img * (s
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摘要：gt_img = gt_img / 255. normal_img = normal_img / 255. mean_gray_out = cv2.cvtColor(normal_img.astype(np.float32), cv2.COLOR_BGR2GRAY).mean() mean_gray
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