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| author | Jules Laplace <julescarbon@gmail.com> | 2020-01-07 22:05:39 +0100 |
|---|---|---|
| committer | Jules Laplace <julescarbon@gmail.com> | 2020-01-07 22:05:39 +0100 |
| commit | c6e1c60716a3e4beeaff3987303fd5ae4a30be31 (patch) | |
| tree | eb94e6f3b7aef378320591ebf01dfd7244ad111c /cli/app/search/search_dense.py | |
| parent | 08fa371f49042a2989ec3d494f37b8db63b13c95 (diff) | |
add stochastic clipping, latent normalization, feature loss to initial pass
Diffstat (limited to 'cli/app/search/search_dense.py')
| -rw-r--r-- | cli/app/search/search_dense.py | 7 |
1 files changed, 0 insertions, 7 deletions
diff --git a/cli/app/search/search_dense.py b/cli/app/search/search_dense.py index a538d0d..8ba3340 100644 --- a/cli/app/search/search_dense.py +++ b/cli/app/search/search_dense.py @@ -80,16 +80,9 @@ def find_dense_embedding_for_images(params): os.makedirs(SAMPLES_DIR, exist_ok=True) os.makedirs(VECTOR_DIR, exist_ok=True) - # -------------------------- - # Util functions. - # -------------------------- - # One hot encoding for classes. def one_hot(values): return np.eye(N_CLASS)[values] - # -------------------------- - # Logging. - # -------------------------- summary_writer = tf.summary.FileWriter(LOGS_DIR) def log_stats(name, val, it): summary = tf.Summary(value=[tf.Summary.Value(tag=name, simple_value=val)]) |