class_docstr: This class is a helper to perform full point cloud prediction by having votes interpolated using knn
class_docstr_tok: ["This","class","is","a","helper","to","perform","full","point","cloud","prediction","by","having","votes","interpolated","using","knn"]
code: def full_res_preds(self):
      self._predict_full_res()
      if self._class_seg_map:
          return (
              self._full_res_preds[:, self._class_seg_map].argmax(1)
              + self._class_seg_map[0]
          )
      else:
          return self._full_res_preds.argmax(-1)
  
file_path: torch-points3d/torch_points3d/metrics/segmentation_helpers.py
imports: import numpy
  import torch
  from torch_points3d.core.data_transform import SaveOriginalPosId
  from torch_geometric.nn.unpool import knn_interpolate
label_desc: Use image node_id 7 for calling the SegmentationVoter obj's underlying member method code with example usage: obj.full_res_preds() and returns: unknown, self