Deep dream implementation

downloadshow.md

url = 'https://nicolekessler.files.wordpress.com/2013/04/hellish_demons.jpg?w=1024'

Download

• We first download the image
• Resize it for faster computation

def download(url, max_dim=None):
    name = "demons.jpg"
    image_path = tf.keras.utils.get_file(name, origin=url)
    img = PIL.Image.open(image_path)
    if max_dim:
        img.thumbnail((max_dim, max_dim))
    return np.array(img)

Deprocess

• This is a process called normalization
• tf.cast is used to convert the tensor into a 8 bit integer value representation

def deprocess(img):
    img = 255 * (img + 1.0) / 2.0
    return tf.cast(img, tf.uint8)

Show

• just a wrapper to convert the tensor into an array and display

def show(img):
    display.display(PIL.Image.fromarray(np.array(img)))
original_img = download(url, max_dim=500)
show(original_img)

imports.py

from __future__ import (absolute_import, division, print_function,
                        unicode_literals)
import tensorflow as tf
import IPython.display as display
import matplotlib as mpl
import numpy as np
import PIL.Image
from tensorflow.keras.preprocessing import image