(images, drange=[-1,1], nhwc_to_nchw=False)
return images * ((drange[1] - drange[0]) / 255) + drange[0]
Convert a minibatch of images from uint8 to float32 with configurable dynamic range.
    Can be used as an input transformation for Network.run().
Convert a minibatch of images from uint8 to float32 with configurable dynamic range.
    Can be used as an input transformation for Network.run().
Convert a minibatch of images from uint8 to float32 with configurable dynamic range . Can be used as an input transformation for Network . run () .
def convert_images_from_uint8(images, drange=[-1,1], nhwc_to_nchw=False):
    """Convert a minibatch of images from uint8 to float32 with configurable dynamic range.
    Can be used as an input transformation for Network.run().
    """
    images = tf.cast(images, tf.float32)
    if nhwc_to_nchw:
        images = tf.transpose(images, [0, 3, 1, 2])
    return images * ((drange[1] - drange[0]) / 255) + drange[0]
def convert_images_from_uint8 ( images , drange = [ - 1 , 1 ] , nhwc_to_nchw = False ) : images = tf . cast ( images , tf . float32 ) if nhwc_to_nchw : images = tf . transpose ( images , [ 0 , 3 , 1 , 2 ] ) return images * ( ( drange [ 1 ] - drange [ 0 ] ) / 255 ) + drange [ 0 ]