code: def test_predict_keypoints_rcnn_train(ochuman_ds):
      _, valid_ds = ochuman_ds
      model = keypoint_rcnn.model(num_keypoints=19)
  
      infer_dl = keypoint_rcnn.infer_dl(valid_ds, batch_size=2)
      preds = keypoint_rcnn.predict_from_dl(
          model=model, infer_dl=infer_dl
      )
      p = preds[0].pred
  
      assert len(infer_dl) == 1
      assert len(preds) == 2
      assert len(list(p.detection.keypoints_scores)) == len(
          p.detection.keypoints
      )
      assert len(p.detection.bboxes) == len(p.detection.keypoints)
  
label_desc: Use image node_id 1 for calling a global function with example usage: test_predict_keypoints_rcnn_train(ochuman_ds) without return types