updates
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@ -278,11 +278,11 @@ class LoadImagesAndLabels(Dataset): # for training/testing
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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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r = self.img_size / max(img.shape) # size ratio
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if r < 1: # downsize is target shape is smaller
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if r < 1: # downsize if target shape is smaller
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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)
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if self.n < 3000: # cache images into memory if image count < 3000
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if self.n < 3000: # cache into memory if image count < 3000
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self.imgs[index] = img
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# Augment colorspace
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