def METHOD_NAME(
    self,
):
    mock_cputfl = detectors.api_types[DetectorTypeEnum.cpu]
    TEST_DATA = np.zeros((1, 32, 32, 3), np.uint8)
    TEST_DETECT_RESULT = np.ndarray([1, 2, 4, 8, 16, 32])
    test_cfg = parse_obj_as(DetectorConfig, {"type": "cpu", "model": {}})
    test_cfg.model.input_tensor = InputTensorEnum.nchw
    test_obj_detect = frigate.object_detection.LocalObjectDetector(
        detector_config=test_cfg
    )
    mock_det_api = mock_cputfl.return_value
    mock_det_api.detect_raw.return_value = TEST_DETECT_RESULT
    test_result = test_obj_detect.detect_raw(TEST_DATA)
    mock_det_api.detect_raw.assert_called_once()
    assert (
        mock_det_api.detect_raw.call_args.kwargs["tensor_input"].shape
        == np.zeros((1, 3, 32, 32)).shape
    )
    assert test_result is mock_det_api.detect_raw.return_value