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save samples in config.sample_dir #308

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save samples in config.sample_dir #308

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15 changes: 8 additions & 7 deletions utils.py
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Original file line number Diff line number Diff line change
Expand Up @@ -170,11 +170,12 @@ def make_frame(t):
clip.write_gif(fname, fps = len(images) / duration)

def visualize(sess, dcgan, config, option):
sample_dir = config.sample_dir
image_frame_dim = int(math.ceil(config.batch_size**.5))
if option == 0:
z_sample = np.random.uniform(-0.5, 0.5, size=(config.batch_size, dcgan.z_dim))
samples = sess.run(dcgan.sampler, feed_dict={dcgan.z: z_sample})
save_images(samples, [image_frame_dim, image_frame_dim], './samples/test_%s.png' % strftime("%Y-%m-%d-%H-%M-%S", gmtime()))
save_images(samples, [image_frame_dim, image_frame_dim], '%s/test_%s.png' % (sample_dir, strftime("%Y-%m-%d-%H-%M-%S", gmtime())))
elif option == 1:
values = np.arange(0, 1, 1./config.batch_size)
for idx in xrange(dcgan.z_dim):
Expand All @@ -192,7 +193,7 @@ def visualize(sess, dcgan, config, option):
else:
samples = sess.run(dcgan.sampler, feed_dict={dcgan.z: z_sample})

save_images(samples, [image_frame_dim, image_frame_dim], './samples/test_arange_%s.png' % (idx))
save_images(samples, [image_frame_dim, image_frame_dim], '%s/test_arange_%s.png' % (sample_dir, idx))
elif option == 2:
values = np.arange(0, 1, 1./config.batch_size)
for idx in [random.randint(0, dcgan.z_dim - 1) for _ in xrange(dcgan.z_dim)]:
Expand All @@ -213,9 +214,9 @@ def visualize(sess, dcgan, config, option):
samples = sess.run(dcgan.sampler, feed_dict={dcgan.z: z_sample})

try:
make_gif(samples, './samples/test_gif_%s.gif' % (idx))
make_gif(samples, '%s/test_gif_%s.gif' % (sample_dir, idx))
except:
save_images(samples, [image_frame_dim, image_frame_dim], './samples/test_%s.png' % strftime("%Y-%m-%d-%H-%M-%S", gmtime()))
save_images(samples, [image_frame_dim, image_frame_dim], '%s/test_%s.png' % (sample_dir, strftime("%Y-%m-%d-%H-%M-%S", gmtime())))
elif option == 3:
values = np.arange(0, 1, 1./config.batch_size)
for idx in xrange(dcgan.z_dim):
Expand All @@ -225,7 +226,7 @@ def visualize(sess, dcgan, config, option):
z[idx] = values[kdx]

samples = sess.run(dcgan.sampler, feed_dict={dcgan.z: z_sample})
make_gif(samples, './samples/test_gif_%s.gif' % (idx))
make_gif(samples, '%s/test_gif_%s.gif' % (sample_dir, idx))
elif option == 4:
image_set = []
values = np.arange(0, 1, 1./config.batch_size)
Expand All @@ -236,11 +237,11 @@ def visualize(sess, dcgan, config, option):
for kdx, z in enumerate(z_sample): z[idx] = values[kdx]

image_set.append(sess.run(dcgan.sampler, feed_dict={dcgan.z: z_sample}))
make_gif(image_set[-1], './samples/test_gif_%s.gif' % (idx))
make_gif(image_set[-1], '%s/test_gif_%s.gif' % (sample_dir, idx))

new_image_set = [merge(np.array([images[idx] for images in image_set]), [10, 10]) \
for idx in range(64) + range(63, -1, -1)]
make_gif(new_image_set, './samples/test_gif_merged.gif', duration=8)
make_gif(new_image_set, '%s/test_gif_merged.gif' % sample_dir , duration=8)


def image_manifold_size(num_images):
Expand Down