def METHOD_NAME(self):
    input = np.array([[10, 20, 30, 40, 50]], dtype=np.float32)
    _, h, w = self.image.shape
    output = np.array([[10, 30 / w, 40 / h, 20 / w, 20 / h]], dtype=np.float32)
    sample = {"image": self.image, "target": input}
    transform = DetectionTargetsFormatTransform(input_dim=self.image.shape[1:], input_format=LABEL_XYXY, output_format=LABEL_NORMALIZED_CXCYWH)
    t_output = transform(sample)["target"]
    self.assertTrue(np.allclose(output, t_output, atol=1e-6))