Cleanup load_image() (#2871)
* don't resize up in load_image if augmenting * cleanup Co-authored-by: Glenn Jocher <glenn.jocher@ultralytics.com>
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@@ -634,10 +634,10 @@ def load_image(self, index):
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img = cv2.imread(path) # BGR
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img = cv2.imread(path) # BGR
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assert img is not None, 'Image Not Found ' + path
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assert img is not None, 'Image Not Found ' + path
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h0, w0 = img.shape[:2] # orig hw
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h0, w0 = img.shape[:2] # orig hw
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r = self.img_size / max(h0, w0) # resize image to img_size
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r = self.img_size / max(h0, w0) # ratio
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if r != 1: # always resize down, only resize up if training with augmentation
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if r != 1: # if sizes are not equal
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interp = cv2.INTER_AREA if r < 1 and not self.augment else cv2.INTER_LINEAR
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img = cv2.resize(img, (int(w0 * r), int(h0 * r)),
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img = cv2.resize(img, (int(w0 * r), int(h0 * r)), interpolation=interp)
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interpolation=cv2.INTER_AREA if r < 1 and not self.augment else cv2.INTER_LINEAR)
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return img, (h0, w0), img.shape[:2] # img, hw_original, hw_resized
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return img, (h0, w0), img.shape[:2] # img, hw_original, hw_resized
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else:
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else:
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return self.imgs[index], self.img_hw0[index], self.img_hw[index] # img, hw_original, hw_resized
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return self.imgs[index], self.img_hw0[index], self.img_hw[index] # img, hw_original, hw_resized
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