tests/test_codebase/test_mmpose/test_pose_detection.py:94: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

self = <mmdeploy.codebase.mmpose.deploy.pose_detection.PoseDetection object at 0x7f104dd0f610>
imgs = array([[[0.38712624, 0.16251343, 0.61474216],
        [0.3888045 , 0.1417041 , 0.918831  ],
        [0.24305458, 0.242...8063033 ],
        [0.04421723, 0.6209389 , 0.15323521],
        [0.7485377 , 0.3066191 , 0.9494483 ]]], dtype=float32)
input_shape = (192, 256), kwargs = {}

    def create_input(self,
                     imgs: Union[str, np.ndarray],
                     input_shape: Sequence[int] = None,
                     **kwargs) -> Tuple[Dict, torch.Tensor]:
        """Create input for pose detection.
    
        Args:
            imgs (Any): Input image(s), accepted data type are ``str``,
                ``np.ndarray``.
            input_shape (list[int]): A list of two integer in (width, height)
                format specifying input shape. Defaults to ``None``.
    
        Returns:
            tuple: (data, img), meta information for the input image and input.
        """
>       from mmpose.apis.inference import LoadImage, _box2cs
E       ImportError: cannot import name 'LoadImage' from 'mmpose.apis.inference' (/opt/hostedtoolcache/Python/3.7.12/x64/lib/python3.7/site-packages/mmpose/apis/inference.py)

mmdeploy/codebase/mmpose/deploy/pose_detection.py:84: ImportError