add GaussNoise to augmentation step
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@@ -8,6 +8,7 @@ preprocess_training = a.Compose(
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[
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a.augmentations.PadIfNeeded(min_width=CROP_SIZE, min_height=CROP_SIZE),
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a.RandomCrop(width=CROP_SIZE, height=CROP_SIZE),
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a.GaussNoise(),
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a.Flip(p=0.5),
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a.RandomRotate90(p=0.5),
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a.Normalize(mean=[0.485, 0.456, 0.406], std=[0.229, 0.224, 0.225]),
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