def eval()

in utils/evaluate.py [0:0]

• 10 lines of code
• 5 McCabe index (conditional complexity)

    def eval(self, pred, gt, actions=None):
        """Evaluate

        Arguments:
            pred {np.ndarray} -- predictions, format (N x 3)
            gt {np.ndarray} -- ground truth, format (N x 3)

        Keyword Arguments:
            action {str} -- action name (default: {None})
        """

        for pid, (pose_in, pose_target) in enumerate(zip(pred, gt)):
            err = compute_error(pose_in, pose_target)

            if actions:
                act_name = self._map_action_name(actions[pid])

                # add element to dictionary if not there yet
                if not self._is_action_stored(act_name):
                    self._init_action(act_name)
                self.error[act_name].append(err)

            # add to all
            act_name = 'All'
            self.error[act_name].append(err)