updates
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@ -677,8 +677,8 @@ def random_affine(img, targets=(), degrees=10, translate=.1, scale=.1, shear=10,
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# xy = np.concatenate((x - w / 2, y - h / 2, x + w / 2, y + h / 2)).reshape(4, n).T
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# xy = np.concatenate((x - w / 2, y - h / 2, x + w / 2, y + h / 2)).reshape(4, n).T
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# reject warped points outside of image
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# reject warped points outside of image
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xy[:, [0, 2]] = xy[:, [0, 2]].clip(0, width)
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np.clip(xy[:, [0, 2]], 0, width, out=xy[:, [0, 2]])
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xy[:, [1, 3]] = xy[:, [1, 3]].clip(0, height)
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np.clip(xy[:, [1, 3]], 0, height, out=xy[:, [1, 3]])
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w = xy[:, 2] - xy[:, 0]
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w = xy[:, 2] - xy[:, 0]
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h = xy[:, 3] - xy[:, 1]
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h = xy[:, 3] - xy[:, 1]
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area = w * h
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area = w * h
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