def _random_vector(min, max, prng=DEFAULT_PRNG):
    """ Construct a random vector between min and max.
    Args
        min: the minimum value for each component
        max: the maximum value for each component
    """
    min = np.array(min)
    max = np.array(max)
    assert min.shape == max.shape
    assert len(min.shape) == 1
    return prng.uniform(min, max)
 Construct a random vector between min and max.
    Args
        min: the minimum value for each component
        max: the maximum value for each component
    
keras_retinanet/utils/transform.py