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dnn/torch/osce/README.md
@@ -63,4 +63,4 @@ Generating inference data is analogous to generating training data. Given an ite
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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
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-Checkpoints of pre-trained models are downloaded to dnn/models.
+autogen.sh downloads pre-trained model weights to the subfolder dnn/models of the main repo.
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