def __call__(self, array: np.ndarray):
    tensor = torch.tensor(array)
    tensor = super().__call__(tensor.clone())
    array = np.transpose(np.uint8((255 * tensor.numpy())), (1, 2, 0))
    return array
def __call__(self, array: np.ndarray):
    tensor = torch.tensor(array)
    tensor = super().__call__(tensor.clone())
    array = np.transpose(np.uint8((255 * tensor.numpy())), (1, 2, 0))
    return array