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| author | Jules Laplace <julescarbon@gmail.com> | 2020-01-08 01:36:22 +0100 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2020-01-08 01:36:22 +0100 |
| commit | 7492971e966bd69b7451db8f756343c9462e7441 (patch) | |
| tree | 329326e5bfe7e457fb0fd42d2d99e083ce129d94 /cli/app/search/search_class.py | |
| parent | 1365305eaaeb63c6b9b1bce30b33fcb364708389 (diff) | |
getting latent search updates working...
Diffstat (limited to 'cli/app/search/search_class.py')
| -rw-r--r-- | cli/app/search/search_class.py | 5 |
1 files changed, 4 insertions, 1 deletions
diff --git a/cli/app/search/search_class.py b/cli/app/search/search_class.py index c59bc9b..a9e68e9 100644 --- a/cli/app/search/search_class.py +++ b/cli/app/search/search_class.py @@ -47,8 +47,9 @@ feature_layer_names = { def find_nearest_vector_for_images(paths, opt_dims, opt_steps, opt_video, opt_tag, opt_limit=-1, opt_stochastic_clipping=0, opt_label_clipping=0, opt_use_feature_detector=False, opt_feature_layers=[1,2,4,7], opt_snapshot_interval=20): - sess = tf.compat.v1.Session() tf.reset_default_graph() + sess = tf.compat.v1.Session() + print("Initializing generator...") generator = hub.Module('https://tfhub.dev/deepmind/biggan-512/2') fp_inverses = os.path.join(app_cfg.DIR_INVERSES, opt_tag) @@ -177,6 +178,8 @@ def find_nearest_vector(sess, generator, opt_fp_in, opt_dims, out_images, out_la try: print("Preparing to iterate...") for i in range(opt_steps): + if i == 0: + print("Iterating!") curr_loss, _, _ = sess.run([loss, train_step_z, train_step_y], feed_dict=feed_dict) if i % 20 == 0: print('iter: {}, loss: {}'.format(i, curr_loss)) |