def project_(self, homography_matrix: Union[Tensor, np.ndarray]) -> None:
        """Geometrically transform bounding boxes and keypoints in-place using
        a homography matrix.

        Args:
            homography_matrix (Tensor or np.ndarray): A 3x3 tensor or ndarray
                representing the homography matrix for the transformation.
        """
        boxes = self.tensor
        if isinstance(homography_matrix, np.ndarray):
            homography_matrix = boxes.new_tensor(homography_matrix)

        # Convert boxes to corners in homogeneous coordinates
        corners = self.hbox2corner(boxes)
        corners = torch.cat(
            [corners, corners.new_ones(*corners.shape[:-1], 1)], dim=-1)

        # Convert keypoints to homogeneous coordinates
        keypoints = torch.cat([
            self.keypoints,
            self.keypoints.new_ones(*self.keypoints.shape[:-1], 1)
        ],
                              dim=-1)

        # Transpose corners and keypoints for matrix multiplication
        corners_T = torch.transpose(corners, -1, -2)
        keypoints_T = torch.transpose(keypoints, -1, 0).contiguous().flatten(1)

        # Apply homography matrix to corners and keypoints
        corners_T = torch.matmul(homography_matrix, corners_T)
        keypoints_T = torch.matmul(homography_matrix, keypoints_T)

        # Transpose back to original shape
        corners = torch.transpose(corners_T, -1, -2)
        keypoints_T = keypoints_T.reshape(3, self.keypoints.shape[1], -1)
        keypoints = torch.transpose(keypoints_T, -1, 0).contiguous()

        # Convert corners and keypoints back to non-homogeneous coordinates
        corners = corners[..., :2] / corners[..., 2:3]
        keypoints = keypoints[..., :2] / keypoints[..., 2:3]

        # Convert corners back to bounding boxes and update object attributes
        self.tensor = self.corner2hbox(corners)
        self.keypoints = keypoints
Geometrically transform bounding boxes and keypoints in-place using
        a homography matrix.

        Args:
            homography_matrix (Tensor or np.ndarray): A 3x3 tensor or ndarray
                representing the homography matrix for the transformation.
        
mmpose/projects/yolox_pose/datasets/bbox_keypoint_structure.py