Loading test/pose/test_dwpose.py +5 −5 Original line number Diff line number Diff line Loading @@ -10,29 +10,29 @@ class TestPoseDwpose: poses = dwpose_estimate(img_file_rin) assert len(poses) == 1 assert isinstance(poses[0], OP18KeyPointSet) assert np.isclose(pose_data_rin, poses[0].all, atol=1).all() assert np.isclose(pose_data_rin, poses[0].all, atol=3).all() def test_dwpose_estimate_no_auto_detect(self, img_file_rin, pose_data_nad_rin): poses = dwpose_estimate(img_file_rin, auto_detect=False) assert len(poses) == 1 assert isinstance(poses[0], OP18KeyPointSet) assert np.isclose(pose_data_nad_rin, poses[0].all, atol=1).all() assert np.isclose(pose_data_nad_rin, poses[0].all, atol=3).all() def test_dwpose_estimate_halfbody(self, img_file_halfbody, pose_data_halfbody): poses = dwpose_estimate(img_file_halfbody) assert len(poses) == 1 assert isinstance(poses[0], OP18KeyPointSet) assert np.isclose(pose_data_halfbody, poses[0].all, atol=1).all() assert np.isclose(pose_data_halfbody, poses[0].all, atol=3).all() def test_dwpose_estimate_2girls(self, img_file_2girls, pose_data_2girls_0, pose_data_2girls_1): poses = dwpose_estimate(img_file_2girls) assert len(poses) == 2 assert isinstance(poses[0], OP18KeyPointSet) assert isinstance(poses[1], OP18KeyPointSet) c0 = np.isclose(pose_data_2girls_0, poses[0].all, atol=1) c0 = np.isclose(pose_data_2girls_0, poses[0].all, atol=3) assert c0.all(), f'{c0.mean() * 100:.2f}% of the values are the same, ' \ f'max diff is {np.abs(pose_data_2girls_0 - poses[0].all).max():.4f}.' c1 = np.isclose(pose_data_2girls_1, poses[1].all, atol=1) c1 = np.isclose(pose_data_2girls_1, poses[1].all, atol=3) assert c1.all(), f'{c1.mean() * 100:.2f}% of the values are the same, ' \ f'max diff is {np.abs(pose_data_2girls_1 - poses[1].all).max():.4f}.' Loading Loading
test/pose/test_dwpose.py +5 −5 Original line number Diff line number Diff line Loading @@ -10,29 +10,29 @@ class TestPoseDwpose: poses = dwpose_estimate(img_file_rin) assert len(poses) == 1 assert isinstance(poses[0], OP18KeyPointSet) assert np.isclose(pose_data_rin, poses[0].all, atol=1).all() assert np.isclose(pose_data_rin, poses[0].all, atol=3).all() def test_dwpose_estimate_no_auto_detect(self, img_file_rin, pose_data_nad_rin): poses = dwpose_estimate(img_file_rin, auto_detect=False) assert len(poses) == 1 assert isinstance(poses[0], OP18KeyPointSet) assert np.isclose(pose_data_nad_rin, poses[0].all, atol=1).all() assert np.isclose(pose_data_nad_rin, poses[0].all, atol=3).all() def test_dwpose_estimate_halfbody(self, img_file_halfbody, pose_data_halfbody): poses = dwpose_estimate(img_file_halfbody) assert len(poses) == 1 assert isinstance(poses[0], OP18KeyPointSet) assert np.isclose(pose_data_halfbody, poses[0].all, atol=1).all() assert np.isclose(pose_data_halfbody, poses[0].all, atol=3).all() def test_dwpose_estimate_2girls(self, img_file_2girls, pose_data_2girls_0, pose_data_2girls_1): poses = dwpose_estimate(img_file_2girls) assert len(poses) == 2 assert isinstance(poses[0], OP18KeyPointSet) assert isinstance(poses[1], OP18KeyPointSet) c0 = np.isclose(pose_data_2girls_0, poses[0].all, atol=1) c0 = np.isclose(pose_data_2girls_0, poses[0].all, atol=3) assert c0.all(), f'{c0.mean() * 100:.2f}% of the values are the same, ' \ f'max diff is {np.abs(pose_data_2girls_0 - poses[0].all).max():.4f}.' c1 = np.isclose(pose_data_2girls_1, poses[1].all, atol=1) c1 = np.isclose(pose_data_2girls_1, poses[1].all, atol=3) assert c1.all(), f'{c1.mean() * 100:.2f}% of the values are the same, ' \ f'max diff is {np.abs(pose_data_2girls_1 - poses[1].all).max():.4f}.' Loading