updates
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@ -37,7 +37,7 @@ class LoadImages: # for inference
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# Read image
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# Read image
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img0 = cv2.imread(img_path) # BGR
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img0 = cv2.imread(img_path) # BGR
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assert img0 is not None, 'Failed to load ' + img_path
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assert img0 is not None, 'File Not Found ' + img_path
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# Padded resize
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# Padded resize
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img, _, _, _ = letterbox(img0, height=self.height)
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img, _, _, _ = letterbox(img0, height=self.height)
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@ -106,7 +106,7 @@ class LoadImagesAndLabels: # for training
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self.multi_scale = multi_scale
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self.multi_scale = multi_scale
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self.augment = augment
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self.augment = augment
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assert self.nB > 0, 'No images found in %s' % path
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assert self.nF > 0, 'No images found in %s' % path
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def __iter__(self):
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def __iter__(self):
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self.count = -1
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self.count = -1
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@ -134,8 +134,7 @@ class LoadImagesAndLabels: # for training
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label_path = self.label_files[self.shuffled_vector[files_index]]
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label_path = self.label_files[self.shuffled_vector[files_index]]
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img = cv2.imread(img_path) # BGR
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img = cv2.imread(img_path) # BGR
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if img is None:
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assert img is not None, 'File Not Found ' + img_path
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continue
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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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