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| author | Jan Buethe <jbuethe@amazon.de> | 2024-04-29 17:13:45 +0200 |
|---|---|---|
| committer | Jan Buethe <jbuethe@amazon.de> | 2024-04-29 17:13:45 +0200 |
| commit | 20568812ae92bb148fe3fb0190b7629f1c4d0b96 (patch) | |
| tree | d99017e2e96623009703cc81f04d08392d1a3f0a | |
| parent | f6f2a328a6e315fbb45ad68b43eb8158ded68938 (diff) | |
| download | libopus-upstream-main.tar.gz | |
README related osce fixes IIIupstream-main
| -rw-r--r-- | dnn/torch/osce/README.md | 2 |
1 files changed, 1 insertions, 1 deletions
diff --git a/dnn/torch/osce/README.md b/dnn/torch/osce/README.md index e8940638..696d7e14 100644 --- a/dnn/torch/osce/README.md +++ b/dnn/torch/osce/README.md @@ -63,4 +63,4 @@ Generating inference data is analogous to generating training data. Given an ite The folder item1.se then serves as input for the test_model.py script or for the --testdata argument of train_model.py resp. adv_train_model.py -Checkpoints of pre-trained models are downloaded to dnn/models.
\ No newline at end of file +autogen.sh downloads pre-trained model weights to the subfolder dnn/models of the main repo.
\ No newline at end of file |