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Chapter 5
Google released the DeepDream code in open source (https://github.com/
google/deepdream), but we use a simplified example made by random forest
(https://github.com/pukkapies/applied-dl/blob/master/examples/9-deepdream-minimal.ipynb):
Figure 25: A simplified version of DeepDream applied to the Seattle skyline
Let's start with some image preprocessing:
# Download an image and read it into a NumPy array,
def download(url):
name = url.split("/")[-1]
image_path = tf.keras.utils.get_file(name, origin=url)
img = image.load_img(image_path)
return image.img_to_array(img)
# Scale pixels to between (-1.0 and 1.0)
def preprocess(img):
return (img / 127.5) - 1
# Undo the preprocessing above
def deprocess(img):
img = img.copy()
img /= 2.
img += 0.5
img *= 255.
return np.clip(img, 0, 255).astype('uint8')
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