class_docstr: Extract patches on a point cloud
class_docstr_tok: ["Extract","patches","on","a","point","cloud"]
code: def __init__(self, radius_patch):
      self.radius_patch = radius_patch
  
imports: import collections
  import errno
  import numpy
  import os
  import os.path
  import torch
  from torch_geometric.data import Data
  from torch_points_kernels.points_cpu import ball_query
  import imageio
  from tqdm.auto import tqdm
  from torch_points3d.core.data_transform import GridSampling3D, SaveOriginalPosId
  from torch_geometric.transforms import Compose
  import torch_points3d.datasets.registration.fusion
  from torch_cluster import fps
label_desc: Use image node_id 1 to create a new PatchExtractor object  with example: obj = PatchExtractor(radius_patch)