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@@ -740,6 +740,10 @@ def main(args):
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# Resize.
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combined_im = train_resize(combined_im)
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# Flipping.
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if not args.no_flip and random.random() < 0.5:
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combined_im = train_flip(combined_im)
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# Cropping.
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if not args.random_crop:
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y1 = max(0, int(round((combined_im.shape[1] - args.resolution) / 2.0)))
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@@ -749,11 +753,6 @@ def main(args):
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y1, x1, h, w = train_crop.get_params(combined_im, (args.resolution, args.resolution))
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combined_im = crop(combined_im, y1, x1, h, w)
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# Flipping.
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if random.random() < 0.5:
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x1 = combined_im.shape[2] - x1
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combined_im = train_flip(combined_im)
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crop_top_left = (y1, x1)
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crop_top_lefts.append(crop_top_left)
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combined_im = normalize(combined_im)
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