menpo.landmark.pose_human36M_32_to_pose_human36M_32(x, return_mapping=False)[source]

Apply the human3.6M 32-point semantic labels.

The semantic labels applied are as follows:

  • pelvis
  • right_leg
  • left_leg
  • spine
  • head
  • left_arm
  • left_hand
  • right_arm
  • right_hand
  • torso
  • 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.


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