(image, means=[_R_MEAN, _G_MEAN, _B_MEAN], to_int=True)
return image
Re-convert to original image distribution, and convert to int if
    necessary.

    Returns:
      Centered image.
Re-convert to original image distribution, and convert to int if
    necessary.
Re - convert to original image distribution and convert to int if necessary .
def tf_image_unwhitened(image, means=[_R_MEAN, _G_MEAN, _B_MEAN], to_int=True):
    """Re-convert to original image distribution, and convert to int if
    necessary.

    Returns:
      Centered image.
    """
    mean = tf.constant(means, dtype=image.dtype)
    image = image + mean
    if to_int:
        image = tf.cast(image, tf.int32)
    return image
def tf_image_unwhitened ( image , means = [ _R_MEAN , _G_MEAN , _B_MEAN ] , to_int = True ) : mean = tf . constant ( means , dtype = image . dtype ) image = image + mean if to_int : image = tf . cast ( image , tf . int32 ) return image