class_docstr: A dataset class to generate circle poses.
class_docstr_tok: ["A","dataset","class","to","generate","circle","poses","."]
docstr: Returns the number of samples in the dataset.
docstr_tok: ["Returns","the","number","of","samples","in","the","dataset","."]
code: def __len__(self) -> int:
      """Returns the number of samples in the dataset."""
      return self.size
  
file_path: NeMo/nemo/collections/multimodal/data/nerf/circle_poses.py
imports: from typing import Dict, Union
  import numpy
  import torch
  from torch.utils.data import Dataset
  from nemo.collections.multimodal.data.nerf.cameras import PinholeCamera
  from nemo.collections.multimodal.data.nerf.utils import compute_look_at_vectors, construct_poses, get_rays, get_view_direction
label_desc: Use image node_id 2 for calling the CirclePosesDataset obj's underlying member method code with example usage: obj.__len__() and returns: self