updates
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@ -116,7 +116,7 @@ class load_images_and_labels(): # for training
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augment_hsv = True
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augment_hsv = True
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if self.augment and augment_hsv:
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if self.augment and augment_hsv:
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# SV augmentation by 50%
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# SV augmentation by 50%
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fraction = 0.25
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fraction = 0.50
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img_hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
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img_hsv = cv2.cvtColor(img, cv2.COLOR_BGR2HSV)
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S = img_hsv[:, :, 1].astype(np.float32)
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S = img_hsv[:, :, 1].astype(np.float32)
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V = img_hsv[:, :, 2].astype(np.float32)
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V = img_hsv[:, :, 2].astype(np.float32)
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@ -153,7 +153,7 @@ class load_images_and_labels(): # for training
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# Augment image and labels
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# Augment image and labels
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if self.augment:
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if self.augment:
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img, labels, M = random_affine(img, labels, degrees=(-5, 5), translate=(0.05, 0.05), scale=(0.95, 1.05))
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img, labels, M = random_affine(img, labels, degrees=(-5, 5), translate=(0.10, 0.10), scale=(0.90, 1.10))
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plotFlag = False
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plotFlag = False
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if plotFlag:
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if plotFlag:
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