Created
April 20, 2018 21:13
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#!/usr/bin/env python3 | |
from PIL import Image | |
import numpy as np | |
import tensorflow as tf | |
import tensorflow_hub as hub | |
# smooth values from point a to point b. | |
STEPS = 100 | |
pt_a = np.random.normal(size=(512)) | |
pt_b = np.random.normal(size=(512)) | |
z = np.empty((STEPS, 512)) | |
for i, alpha in enumerate(np.linspace(start=0.0, stop=1.0, num=STEPS)): | |
z[i] = alpha * pt_a + (1.0-alpha) * pt_b | |
# sample all z and write out as separate images. | |
generator = hub.Module("https://tfhub.dev/google/progan-128/1") | |
with tf.Session() as sess: | |
sess.run(tf.global_variables_initializer()) | |
imgs = sess.run(generator(z)) | |
imgs = (imgs * 255).astype(np.uint8) | |
for i, img in enumerate(imgs): | |
Image.fromarray(img).save("foo_%02d.png" % i) |
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