code: def _pulsar_from_cameras_projection(
      cameras: PerspectiveCameras,
      image_size: torch.Tensor,
  ) -> torch.Tensor:
      opencv_R, opencv_T, opencv_K = _opencv_from_cameras_projection(
          cameras, image_size
      )
      return _pulsar_from_opencv_projection(
          opencv_R, opencv_T, opencv_K, image_size
      )
  
file_path: pytorch3d/pytorch3d/renderer/camera_conversions.py
imports: import logging
  from typing import Tuple
  import torch
  from ..transforms import matrix_to_rotation_6d
  from .cameras import PerspectiveCameras
label_desc: Use image node_id 4 for calling a global function with example usage: _pulsar_from_cameras_projection(cameras, image_size) and returns: _pulsar_from_opencv_projection