code: def _proj_3d_to_right_camera(detections3d, calib, frame_size):
      if detections3d is None:
          return None
  
      P = calib["P3"]
      width, height = frame_size
  
      detections2d = detections3d.copy()
  
      # DontCare labels don't have valid coordinates
      detections2d.detections = [
          d for d in detections2d.detections if d["label"] != "DontCare"
      ]
  
      for detection in detections2d.detections:
          h, w, l = detection["dimensions"]
          t = np.array(detection["location"])
          R = _roty(detection["rotation"][1])
  
          # Construct (x, y, z) coordinates of 3d box corners
          corners3d = np.array(
              [
                  [
                      l / 2,
                      l / 2,
                      -l / 2,
                      -l / 2,
                      l / 2,
                      l / 2,
                      -l / 2,
                      -l / 2,
                  ],
                  [0, 0, 0, 0, -h, -h, -h, -h],
                  [
                      w / 2,
                      -w / 2,
                      -w / 2,
                      w / 2,
                      w / 2,
                      -w / 2,
                      -w / 2,
                      w / 2,
                  ],
              ]
          )
          corners3d = R @ corners3d + t[:, np.newaxis]
  
          # Project to image coordinates
          corners2d = P @ np.vstack((corners3d, np.ones((1, 8))))
          cornersx = corners2d[0, :] / corners2d[2, :]
          cornersy = corners2d[1, :] / corners2d[2, :]
  
          # Convert to [0, 1] x [0, 1]
          cornersx = np.clip(cornersx / width, 0, 1)
          cornersy = np.clip(cornersy / height, 0, 1)
          x = min(cornersx)
          y = min(cornersy)
          w = max(cornersx) - x
          h = max(cornersy) - y
  
          detection.bounding_box = [x, y, w, h]
  
          del detection["dimensions"]
          del detection["location"]
          del detection["rotation"]
  
      return detections2d
  
imports: import csv
  import logging
  import struct
  import os
  import numpy
  import eta.core.utils
  import eta.core.web
  import fiftyone
  import fiftyone.core.labels
  import fiftyone.core.metadata
  import fiftyone.core.storage
  import fiftyone.core.utils
  import fiftyone.utils.data
label_desc: Use image node_id 13 for calling a global function with example usage: _proj_3d_to_right_camera(detections3d, calib, frame_size) and returns: detections2d, None