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@@ -40,7 +40,7 @@ print('Data length: ', len(dataset))
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# ---------------------- Main Process ----------------------
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-image_dict = []
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+cached_image = []
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dataset_size = len(dataset)
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for i in range(len(dataset)):
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if i % 5000 == 0:
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@@ -59,7 +59,7 @@ for i in range(len(dataset)):
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else:
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image = cv2.resize(image, (int(args.img_size), int(args.img_size)))
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- image_dict.append(image)
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+ cached_image.append(image)
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if args.show:
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cv2.imshow('image', image)
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# cv2.imwrite(str(i)+'.jpg', img)
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@@ -67,4 +67,4 @@ for i in range(len(dataset)):
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save_path = "dataset/cache/"
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os.makedirs(save_path, exist_ok=True)
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-np.save(save_path + '{}_train_images.npy'.format(args.dataset))
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+np.save(save_path + '{}_train_images.npy'.format(args.dataset), cached_image)
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