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| author | Jules Laplace <julescarbon@gmail.com> | 2020-02-23 03:00:16 +0100 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2020-02-23 03:00:16 +0100 |
| commit | eca62eb5244898eca3462404d266b184c8bbe091 (patch) | |
| tree | 72a4301cafd962d76fe778384605c53e834ed120 /cli | |
| parent | 036a0c608e4e43f5da3883c6324a7fca860b908b (diff) | |
more vgg
Diffstat (limited to 'cli')
| -rw-r--r-- | cli/app/search/search_dense.py | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/cli/app/search/search_dense.py b/cli/app/search/search_dense.py index 7b83952..503d135 100644 --- a/cli/app/search/search_dense.py +++ b/cli/app/search/search_dense.py @@ -495,7 +495,7 @@ def find_dense_embedding_for_images(params, opt_tag="inverse_" + timestamp(), op inv_batch = vs.interleave(vs.data2img(image_batch[BATCH_SIZE - SAMPLE_SIZE:]), vs.data2img(gen_images[BATCH_SIZE - SAMPLE_SIZE:])) inv_batch = vs.grid_transform(inv_batch) - vs.save_image('{}/progress_{}_{:04d}.png'.format(SAMPLES_DIR, opt_tag, int(it / 500)), inv_batch) + vs.save_image('{}/progress_{}_{:02d}_{:04d}.png'.format(SAMPLES_DIR, opt_tag, out_pos, int(it / 500)), inv_batch) # Save images that are ready. label_trained, latent_trained = sess.run([label, latent]) |