def rand_brightness(imagez, scale=1.0, randfun=rand.normal(0., .1), clamp=(0., 1.)):
    """
    :param images:
    :param scale: scale for random value
    :param randfun: any randfun binding except shape
    :param clamp: clamping range
    :return:
    """
    l, h = clamp
    r = randfun((imagez[0].shape[0], 1, 1, 1)) * scale

    def apply(im):
        im += r
        im[im < l] = l
        im[im > h] = h
        return im

    return tuple(map(apply, imagez))
def rand_brightness(imagez, scale=1.0, randfun=rand.normal(0., .1), clamp=(0., 1.)):
    """
    :param images:
    :param scale: scale for random value
    :param randfun: any randfun binding except shape
    :param clamp: clamping range
    :return:
    """
    l, h = clamp
    r = randfun((imagez[0].shape[0], 1, 1, 1)) * scale

    def apply(im):
        im += r
        im[im < l] = l
        im[im > h] = h
        return im

    return tuple(map(apply, imagez))
def rand_brightness ( imagez , scale = 1.0 , randfun = rand . normal ( 0. , .1 ) , clamp = ( 0. , 1. ) ) : l , h = clamp r = randfun ( ( imagez [ 0 ] . shape [ 0 ] , 1 , 1 , 1 ) ) * scale def apply ( im ) : im += r im [ im < l ] = l im [ im > h ] = h return im return tuple ( map ( apply , imagez ) )
:param images:
    :param scale: scale for random value
    :param randfun: any randfun binding except shape
    :param clamp: clamping range
    :return:
: param images : : param scale : scale for random value : param randfun : any randfun binding except shape : param clamp : clamping range : return :