updates
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@ -105,7 +105,7 @@ class ListDataset(): # for training
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if img is None:
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continue
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augment_hsv = False
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augment_hsv = True
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if augment_hsv:
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# SV augmentation by 50%
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fraction = 0.50
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@ -144,7 +144,7 @@ class ListDataset(): # for training
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labels = np.array([])
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# Augment image and labels
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# img, labels, M = random_affine(img, targets=labels, degrees=(-5, 5), translate=(0.1, 0.1), scale=(0.8, 1.2)) # RGB
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img, labels, M = random_affine(img, targets=labels, degrees=(-10, 10), translate=(0.2, 0.2), scale=(0.8, 1.2)) # RGB
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plotFlag = False
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if plotFlag:
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@ -158,7 +158,7 @@ class ListDataset(): # for training
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labels[:, 1:5] = xyxy2xywh(labels[:, 1:5].copy()) / height
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# random left-right flip
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lr_flip = False
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lr_flip = True
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if lr_flip & (random.random() > 0.5):
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img = np.fliplr(img)
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if nL > 0:
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