tensorflow_1_10.py

means = [123.68, 116.779, 103.939]

def _parse_data(filename, label, new_size=224):
    img_string = tf.read_file(filename)
    img = tf.image.decode_jpeg(img_string)
    img = tf.image.resize_images(img, (new_size, new_size))
    img.set_shape([new_size, new_size, 3])
    img = tf.to_float(img)
    channels = tf.split(axis=2, num_or_size_splits=3, value=img)
    for i in range(3):
        channels[i] -= means[i]
    new_img = tf.concat(axis=2, values=channels)

    label = tf.cast(label, tf.int64)
    return new_img, label