Python PointCloud.bounding_box Examples

Example #1

File: pointcloud_test.py Project: nontas/menpo

def test_pointcloud_bounding_box_3d():
    points = np.array([[1.0, 2.0, 3.0], [3.0, 2.0, 1.0]])
    pc = PointCloud(points)
    bb = pc.bounding_box()
    bb_bounds = bb.bounds()
    assert_allclose(bb_bounds[0], [1.0, 2.0, 1.0])
    assert_allclose(bb_bounds[1], [3.0, 2.0, 3.0])

Example #2

File: test_pointcloud.py Project: tzirakis/menpo

def test_pointcloud_bounding_box_3d():
    points = np.array([[1.0, 2.0, 3.0], [3.0, 2.0, 1.0]])
    pc = PointCloud(points)
    bb = pc.bounding_box()
    bb_bounds = bb.bounds()
    assert_allclose(bb_bounds[0], [1.0, 2.0, 1.0])
    assert_allclose(bb_bounds[1], [3.0, 2.0, 3.0])

Example #3

File: pointcloud_test.py Project: silasxue/menpo

def test_pointcloud_bounding_box():
    points = np.array([[0, 0], [1., 1], [0, 2]])
    pc = PointCloud(points)
    bb = pc.bounding_box()
    bb_bounds = bb.bounds()
    assert_allclose(bb_bounds[0], [0., 0.])
    assert_allclose(bb_bounds[1], [1., 2.])

Example #4

File: 3DMMCamera.py Project: yuxiang-zhou/deepmachine

            def _preprocess(self, idx):
                name, *lms5pt = self.detection.loc[idx]
                lms5pt = PointCloud(np.array(lms5pt).reshape([-1,2])[:,::-1])
                img = mio.import_image((self.image_path/name).with_suffix('.jpg'))
                cimg, _, _ = dm.utils.crop_image_bounding_box(img, lms5pt.bounding_box(), [112, 112], base=186)

                return cimg.pixels_with_channels_at_back() * 2 - 1

Example #5

File: pointcloud_test.py Project: JeanKossaifi/menpo

def test_pointcloud_bounding_box():
    points = np.array([[0, 0],
                       [1., 1],
                       [0, 2]])
    pc = PointCloud(points)
    bb = pc.bounding_box()
    bb_bounds = bb.bounds()
    assert_allclose(bb_bounds[0], [0., 0.])
    assert_allclose(bb_bounds[1], [1., 2.])

Example #6

File: fitter.py Project: HaoyangWang/menpo3d

    def _align_mean_shape_with_bbox(self, bbox):
        # Convert 3D landmarks to 2D by removing the Z axis
        template_shape = PointCloud(self.mm.landmarks.points[:, [1, 0]])

        # Rotation that flips over x axis
        rot_matrix = np.eye(template_shape.n_dims)
        rot_matrix[0, 0] = -1
        template_shape = Rotation(rot_matrix,
                                  skip_checks=True).apply(template_shape)

        # Align the 2D landmarks' bbox with the provided bbox
        return AlignmentSimilarity(template_shape.bounding_box(),
                                   bbox).apply(template_shape)

Example #7

File: fitter.py Project: hkbonychen/3D-Morphable-Model-training

    def _align_mean_shape_with_bbox(self, bbox):
        # Convert 3D landmarks to 2D by removing the Z axis
        template_shape = PointCloud(self.mm.landmarks.points[:, [1, 0]])

        # Rotation that flips over x axis
        rot_matrix = np.eye(template_shape.n_dims)
        rot_matrix[0, 0] = -1
        template_shape = Rotation(rot_matrix,
                                  skip_checks=True).apply(template_shape)

        # Align the 2D landmarks' bbox with the provided bbox
        return AlignmentSimilarity(template_shape.bounding_box(),
                                   bbox).apply(template_shape)

Example #8

File: pointcloud_test.py Project: JeanKossaifi/menpo

def test_pointcloud_bounding_box_3d_fail():
    points = np.array([[0, 0, 0],
                       [1, 1, 1]])
    pc = PointCloud(points)
    pc.bounding_box()

Example #9

def test_pointcloud_bounding_box_3d_fail():
    points = np.array([[0, 0, 0],
                       [1, 1, 1]])
    pc = PointCloud(points)
    pc.bounding_box()