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| author | Jules Laplace <julescarbon@gmail.com> | 2020-01-08 11:11:54 +0100 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2020-01-08 11:11:54 +0100 |
| commit | 9cbc1bc93aff4a832c9ba4264c32a62034df13a8 (patch) | |
| tree | 81cdcbbd8cb50d764b136f06b1d46c8a2fc77cec /cli | |
| parent | da243d0a0e00e8dd9f4ab3d3d5e973230b554347 (diff) | |
reprocess
Diffstat (limited to 'cli')
| -rw-r--r-- | cli/app/search/search_class.py | 4 |
1 files changed, 2 insertions, 2 deletions
diff --git a/cli/app/search/search_class.py b/cli/app/search/search_class.py index c732801..25bc1fd 100644 --- a/cli/app/search/search_class.py +++ b/cli/app/search/search_class.py @@ -66,13 +66,13 @@ def find_nearest_vector_for_images(paths, opt_dims, opt_steps, opt_video, opt_ta break out_fns[index] = os.path.basename(path) fp_frames = find_nearest_vector(sess, generator, path, opt_dims, out_images, out_labels, out_latent, opt_steps, index, opt_tag, - opt_stochastic_clipping, opt_label_clipping, opt_use_feature_detector, opt_feature_layers, opt_snapshot_interval, opt_clip_interval) + opt_stochastic_clipping, opt_label_clipping, opt_use_feature_detector, opt_feature_layers, opt_snapshot_interval, opt_clip_interval, opt_video) if opt_video: export_video(fp_frames) sess.close() def find_nearest_vector(sess, generator, opt_fp_in, opt_dims, out_images, out_labels, out_latent, opt_steps, index, opt_tag, - opt_stochastic_clipping, opt_label_clipping, opt_use_feature_detector, opt_feature_layers, opt_snapshot_interval, opt_clip_interval): + opt_stochastic_clipping, opt_label_clipping, opt_use_feature_detector, opt_feature_layers, opt_snapshot_interval, opt_clip_interval, opt_video): """ Find the closest latent and class vectors for an image. Store the class vector in an HDF5. """ |