updates
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@ -277,7 +277,11 @@ class LoadImagesAndLabels(Dataset): # for training/testing
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if img is None:
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if img is None:
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img = cv2.imread(img_path) # BGR
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img = cv2.imread(img_path) # BGR
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assert img is not None, 'File Not Found ' + img_path
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assert img is not None, 'File Not Found ' + img_path
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if self.n < 1001:
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if self.n < 2001:
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r = self.img_size / max(img.shape) # ratio
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if r < 1: # downsize image and cache in RAM for future
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h, w, _ = img.shape
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img = cv2.resize(img, (int(w*r), int(h*r)), interpolation=cv2.INTER_AREA) # resized, no border
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self.imgs[index] = img # cache image into memory
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self.imgs[index] = img # cache image into memory
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# Augment colorspace
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# Augment colorspace
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