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import numpy as np |
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import unittest |
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from detectron2.data.transforms.transform import RotationTransform |
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class TestRotationTransform(unittest.TestCase): |
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def assertEqualsArrays(self, a1, a2): |
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self.assertTrue(np.allclose(a1, a2)) |
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def randomData(self, h=5, w=5): |
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image = np.random.rand(h, w) |
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coords = np.array([[i, j] for j in range(h + 1) for i in range(w + 1)], dtype=float) |
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return image, coords, h, w |
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def test180(self): |
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image, coords, h, w = self.randomData(6, 6) |
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rot = RotationTransform(h, w, 180, expand=False, center=None) |
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self.assertEqualsArrays(rot.apply_image(image), image[::-1, ::-1]) |
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rotated_coords = [[w - c[0], h - c[1]] for c in coords] |
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self.assertEqualsArrays(rot.apply_coords(coords), rotated_coords) |
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def test45_coords(self): |
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_, coords, h, w = self.randomData(4, 6) |
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rot = RotationTransform(h, w, 45, expand=False, center=None) |
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rotated_coords = [ |
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[(x + y - (h + w) / 2) / np.sqrt(2) + w / 2, h / 2 + (y + (w - h) / 2 - x) / np.sqrt(2)] |
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for (x, y) in coords |
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] |
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self.assertEqualsArrays(rot.apply_coords(coords), rotated_coords) |
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def test90(self): |
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image, coords, h, w = self.randomData() |
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rot = RotationTransform(h, w, 90, expand=False, center=None) |
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self.assertEqualsArrays(rot.apply_image(image), image.T[::-1]) |
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rotated_coords = [[c[1], w - c[0]] for c in coords] |
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self.assertEqualsArrays(rot.apply_coords(coords), rotated_coords) |
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def test90_expand(self): |
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image, coords, h, w = self.randomData(h=5, w=8) |
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rot = RotationTransform(h, w, 90, expand=True, center=None) |
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self.assertEqualsArrays(rot.apply_image(image), image.T[::-1]) |
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rotated_coords = [[c[1], w - c[0]] for c in coords] |
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self.assertEqualsArrays(rot.apply_coords(coords), rotated_coords) |
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def test_center_expand(self): |
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image, coords, h, w = self.randomData(h=5, w=8) |
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angle = np.random.randint(360) |
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rot1 = RotationTransform(h, w, angle, expand=True, center=None) |
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rot2 = RotationTransform(h, w, angle, expand=True, center=(0, 0)) |
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rot3 = RotationTransform(h, w, angle, expand=True, center=(h, w)) |
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rot4 = RotationTransform(h, w, angle, expand=True, center=(2, 5)) |
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for r1 in [rot1, rot2, rot3, rot4]: |
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for r2 in [rot1, rot2, rot3, rot4]: |
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self.assertEqualsArrays(r1.apply_image(image), r2.apply_image(image)) |
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self.assertEqualsArrays(r1.apply_coords(coords), r2.apply_coords(coords)) |
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def test_inverse_transform(self): |
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image, coords, h, w = self.randomData(h=5, w=8) |
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rot = RotationTransform(h, w, 90, expand=True, center=None) |
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rot_image = rot.apply_image(image) |
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self.assertEqualsArrays(rot.inverse().apply_image(rot_image), image) |
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rot = RotationTransform(h, w, 65, expand=True, center=None) |
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rotated_coords = rot.apply_coords(coords) |
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self.assertEqualsArrays(rot.inverse().apply_coords(rotated_coords), coords) |
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if __name__ == "__main__": |
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unittest.main() |
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