Self-Correction-Human-Parsing-for-ACGPN/mhp_extension/detectron2/tests/data/test_rotation_transform.py

# Copyright (c) Facebook, Inc. and its affiliates. All Rights Reserved
import numpy as np
import unittest

from detectron2.data.transforms.transform import RotationTransform


class TestRotationTransform(unittest.TestCase):
    def assertEqualsArrays(self, a1, a2):
        self.assertTrue(np.allclose(a1, a2))

    def randomData(self, h=5, w=5):
        image = np.random.rand(h, w)
        coords = np.array([[i, j] for j in range(h + 1) for i in range(w + 1)], dtype=float)
        return image, coords, h, w

    def test180(self):
        image, coords, h, w = self.randomData(6, 6)
        rot = RotationTransform(h, w, 180, expand=False, center=None)
        self.assertEqualsArrays(rot.apply_image(image), image[::-1, ::-1])
        rotated_coords = [[w - c[0], h - c[1]] for c in coords]
        self.assertEqualsArrays(rot.apply_coords(coords), rotated_coords)

    def test45_coords(self):
        _, coords, h, w = self.randomData(4, 6)
        rot = RotationTransform(h, w, 45, expand=False, center=None)
        rotated_coords = [
            [(x + y - (h + w) / 2) / np.sqrt(2) + w / 2, h / 2 + (y + (w - h) / 2 - x) / np.sqrt(2)]
            for (x, y) in coords
        ]
        self.assertEqualsArrays(rot.apply_coords(coords), rotated_coords)

    def test90(self):
        image, coords, h, w = self.randomData()
        rot = RotationTransform(h, w, 90, expand=False, center=None)
        self.assertEqualsArrays(rot.apply_image(image), image.T[::-1])
        rotated_coords = [[c[1], w - c[0]] for c in coords]
        self.assertEqualsArrays(rot.apply_coords(coords), rotated_coords)

    def test90_expand(self):  # non-square image
        image, coords, h, w = self.randomData(h=5, w=8)
        rot = RotationTransform(h, w, 90, expand=True, center=None)
        self.assertEqualsArrays(rot.apply_image(image), image.T[::-1])
        rotated_coords = [[c[1], w - c[0]] for c in coords]
        self.assertEqualsArrays(rot.apply_coords(coords), rotated_coords)

    def test_center_expand(self):
        # center has no effect if expand=True because it only affects shifting
        image, coords, h, w = self.randomData(h=5, w=8)
        angle = np.random.randint(360)
        rot1 = RotationTransform(h, w, angle, expand=True, center=None)
        rot2 = RotationTransform(h, w, angle, expand=True, center=(0, 0))
        rot3 = RotationTransform(h, w, angle, expand=True, center=(h, w))
        rot4 = RotationTransform(h, w, angle, expand=True, center=(2, 5))
        for r1 in [rot1, rot2, rot3, rot4]:
            for r2 in [rot1, rot2, rot3, rot4]:
                self.assertEqualsArrays(r1.apply_image(image), r2.apply_image(image))
                self.assertEqualsArrays(r1.apply_coords(coords), r2.apply_coords(coords))


if __name__ == "__main__":
    unittest.main()