# pose_human36M_32_to_pose_human36M_17¶

menpo.landmark.pose_human36M_32_to_pose_human36M_17(x, return_mapping=False)[source]

Apply the human3.6M 17-point semantic labels (based on the original semantic labels of Human3.6 but removing the annotations corresponding to duplicate points, soles and palms), originally 32-points.

The semantic labels applied are as follows:

• pelvis
• right_leg
• left_leg
• spine
Parameters: x (LabelledPointUndirectedGraph or PointCloud or ndarray) – The input labelled point graph, pointcloud, subclass of those or array to label. If a pointcloud is passed, then only the connectivity information is propagated to the pointcloud (a subclass of PointCloud may be returned). return_mapping (bool, optional) – Only applicable if a PointCloud or ndarray is passed. Returns the mapping dictionary which maps labels to indices into the resulting PointCloud (which is then used to for building a LabelledPointUndirectedGraph. This parameter is only provided for internal use so that other labellers can piggyback off one another. x_labelled (LabelledPointUndirectedGraph or PointCloud) – If a LabelledPointUndirectedGraph was passed, a LabelledPointUndirectedGraph is returned. This labelled pointgraph will contain specific labels and these labels may refer to sub-pointclouds with specific connectivity information. If a PointCloud was passed, a PointCloud is returned. Only the connectivity information is propagated to the pointcloud (a subclass of PointCloud may be returned). mapping_dict (ordereddict {str -> int ndarray}, optional) – Only returned if return_mapping==True. Used for building LabelledPointUndirectedGraph. : :map:LabellingError – If the given labelled point graph/pointcloud contains less than the expected number of points.