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@ -150,6 +150,11 @@ CMU-CS-16-118, CMU School of Computer Science, Tech. Rep., 2016.
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```
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# Acknowledgements
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+ Kenneth Jung noticed that the model definitions are slightly
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different than the pre-trained models.
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For more information, see issues
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[#351](https://github.com/cmusatyalab/openface/issues/351) and
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[#349](https://github.com/cmusatyalab/openface/issues/349).
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+ The fantastic Torch ecosystem and community.
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+ [Alfredo Canziani's](https://github.com/Atcold)
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implementation of FaceNet's loss function in
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@ -189,7 +194,7 @@ These portions are noted in the source files and are
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copyright their respective authors with
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the licenses listed.
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Project | Modified | License
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| Project | Modified | License |
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[Atcold/torch-TripletEmbedding](https://github.com/Atcold/torch-TripletEmbedding) | No | MIT
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[facebook/fbnn](https://github.com/facebook/fbnn) | Yes | BSD
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@ -1,4 +1,13 @@
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# Models and Accuracies
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Note: Kenneth Jung noticed that the model definitions are slightly
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different than the pre-trained models.
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For more information, see issues
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[#351](https://github.com/cmusatyalab/openface/issues/351) and
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[#349](https://github.com/cmusatyalab/openface/issues/349).
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---
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This page overviews different OpenFace neural network models
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and is intended for advanced users.
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@ -1,5 +1,13 @@
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# Training new neural network models
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Note: Kenneth Jung noticed that the model definitions are slightly
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different than the pre-trained models.
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For more information, see issues
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[#351](https://github.com/cmusatyalab/openface/issues/351) and
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[#349](https://github.com/cmusatyalab/openface/issues/349).
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---
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We have also released our deep neural network (DNN)
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training infrastructure to promote an open ecosystem and enable quicker
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bootstrapping for new research and development.
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