colorize_picture.py

import tensorflow as tf
import skimage.transform
from skimage.io import imsave, imread

def load_image(path):
    img = imread(path)
    # crop image from center
    short_edge = min(img.shape[:2])
    yy = int((img.shape[0] - short_edge) / 2)
    xx = int((img.shape[1] - short_edge) / 2)
    crop_img = img[yy : yy + short_edge, xx : xx + short_edge]
    # resize to 224, 224
    img = skimage.transform.resize(crop_img, (224, 224))
    # desaturate image
    return (img[:,:,0] + img[:,:,1] + img[:,:,2]) / 3.0

scene = load_image("girls.png").reshape(1, 224, 224, 1)

with open("colorize.tfmodel", mode='rb') as f:
    fileContent = f.read()

graph_def = tf.GraphDef()
graph_def.ParseFromString(fileContent)
grayscale = tf.placeholder("float", [1, 224, 224, 1])
tf.import_graph_def(graph_def, input_map={ "grayscale": grayscale }, name='')

with tf.Session() as sess:
    inferred_rgb = sess.graph.get_tensor_by_name("inferred_rgb:0")
    inferred_batch = sess.run(inferred_rgb, feed_dict={ grayscale: scene })
    imsave("girls-color.jpg", inferred_batch[0])
    print("Saved girls-color.jpg!")
    sess.close()