code: def test_nomatch(self, device, dtype, data_url):
      data = torch.hub.load_state_dict_from_url(data_url)
  
      # This is not unit test, but that is quite good integration test
      matcher = LocalFeatureMatcher(
          SIFTFeature(100), DescriptorMatcher("smnn", 0.95)
      ).to(device, dtype)
      tracker = HomographyTracker(
          matcher, matcher, minimum_inliers_num=100
      )
      for k in data.keys():
          if isinstance(data[k], torch.Tensor):
              data[k] = data[k].to(device, dtype)
      tracker.set_target(data["image0"])
      torch.random.manual_seed(0)
      _, success = tracker(torch.zeros_like(data["image0"]))
      assert not success
  
file_path: kornia/test/tracking/test_planar_tracking.py
imports: import pytest
  import torch
  from kornia.feature import DescriptorMatcher, GFTTAffNetHardNet, LocalFeatureMatcher, SIFTFeature
  from kornia.geometry import rescale, transform_points
  from kornia.testing import assert_close
  from kornia.tracking import HomographyTracker
  from kornia.utils._compat import torch_version_le
label_desc: Use image node_id 2 for calling the TestHomographyTracker obj's underlying member method code with example usage: obj.test_nomatch(device, dtype, data_url) without return types