tag :(

2 files changed, 3 insertions, 3 deletions

diff --git a/cli/app/commands/biggan/extract_dense_vectors.py b/cli/app/commands/biggan/extract_dense_vectors.py
index 707b99d..7d11e18 100644
--- a/cli/app/commands/biggan/extract_dense_vectors.py
+++ b/cli/app/commands/biggan/extract_dense_vectors.py
@@ -48,7 +48,7 @@ def cli(ctx, opt_folder_id, opt_latent_steps, opt_dense_steps, opt_video, opt_re
   
   print("Processing folder {} ({}), {} new files".format(folder['name'], folder['id'], len(unprocessed_files)))
 
-  tag = "folder_{}".format(folder['id'])
+  tag = "folder_{}_{}".format(folder['id'], timestamp())
   paths = [file['path'] for file in unprocessed_files]
   opt_feature_layers = opt_feature_layers.split(',')
   
diff --git a/cli/app/search/search_dense.py b/cli/app/search/search_dense.py
index 1e1c836..36fc230 100644
--- a/cli/app/search/search_dense.py
+++ b/cli/app/search/search_dense.py
@@ -425,7 +425,7 @@ 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, params.tag, int(it / 500)), inv_batch)
+          vs.save_image('{}/progress_{}_{:04d}.png'.format(SAMPLES_DIR, opt_tag, int(it / 500)), inv_batch)
 
       it += 1
 
@@ -445,7 +445,7 @@ def find_dense_embedding_for_images(params, opt_tag="inverse_" + timestamp(), op
       image = Image.fromarray(images[i])
       fp = BytesIO()
       image.save(fp, format='png')
-      data = upload_bytes_to_cortex(params.folder_id, "{}-{}.png".format(sample_fn, tag), fp, "image/png")
+      data = upload_bytes_to_cortex(params.folder_id, "{}-{}.png".format(sample_fn, opt_tag), fp, "image/png")
       print(json.dumps(data, indent=2))
       if data is not None and 'files' in data:
         file_id = data['files'][0]['id']