code: def test_set_model(self):
      import torchvision
      from torchvision.models.detection.ssd import SSDHead
  
      from sahi.models.torchvision import TorchVisionDetectionModel
  
      NUM_CLASSES = 15
      PRETRAINED = False
  
      model = torchvision.models.detection.ssd300_vgg16(
          num_classes=NUM_CLASSES, pretrained=PRETRAINED
      )
      torchvision_detection_model = TorchVisionDetectionModel(
          model=model,
          confidence_threshold=CONFIDENCE_THRESHOLD,
          device=MODEL_DEVICE,
          category_remapping=None,
          load_at_init=True,
      )
  
      self.assertEqual(
          isinstance(torchvision_detection_model.model.head, SSDHead),
          True,
      )
  
file_path: sahi/tests/test_torchvision.py
imports: import unittest
  import numpy
  from sahi.utils.cv import read_image
  from sahi.utils.torchvision import TorchVisionTestConstants
label_desc: Use image node_id 3 for calling the TestTorchVisionDetectionModel obj's underlying member method code with example usage: obj.test_set_model() without return types