code: def test_keypoints_rcnn_model():
      model = keypoint_rcnn.model(num_keypoints=1)
      param_groups = model.param_groups()
  
      assert len(param_groups) == 8
      assert (
          model.roi_heads.keypoint_predictor.kps_score_lowres.out_channels
          == 1
      )
  
      backbone = (
          models.torchvision.keypoint_rcnn.backbones.resnet18_fpn(
              pretrained=True
          )
      )
      model = keypoint_rcnn.model(backbone=backbone, num_keypoints=10)
  
      assert len(param_groups) == 8
      assert (
          model.roi_heads.keypoint_predictor.kps_score_lowres.out_channels
          == 10
      )
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_keypoints_rcnn_model() without return types