pose_human36M_32_to_pose_human36M_17

menpo.landmark.pose_human36M_32_to_pose_human36M_17(pcloud)

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

• head

• left_arm

• right_arm

• torso

References

1

http://vision.imar.ro/human3.6m/

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.

Returns

• 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.

:raises : LabellingError: If the given labelled point graph/pointcloud contains less than the expected number of points.