code: def _fake_proposals(img_metas, proposal_len):
      """Create a fake proposal list."""
      results = []
      for i in range(len(img_metas)):
          result = InstanceData(metainfo=img_metas[i])
          proposal = random_boxes(proposal_len, 10).to(device="cpu")
          result.bboxes = proposal
          results.append(result)
      return results
  
file_path: mmdetection/tests/test_models/test_tracking_heads/test_quasi_dense_track_head.py
imports: from unittest import TestCase
  import torch
  from mmengine import init_default_scope
  from mmengine.config import Config
  from mmengine.structures import InstanceData
  from mmdet.registry import MODELS
  from mmdet.testing import demo_track_inputs, random_boxes
label_desc: Use image node_id 1 for calling a global function with example usage: _fake_proposals(img_metas, proposal_len) and returns: results