Mention inconsistencies between the pre-trained models and the model definitions for #351 and #349

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Brandon Amos 2018-03-01 19:03:55 -05:00
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3 changed files with 24 additions and 2 deletions

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@ -150,6 +150,11 @@ CMU-CS-16-118, CMU School of Computer Science, Tech. Rep., 2016.
```
# Acknowledgements
+ Kenneth Jung noticed that the model definitions are slightly
different than the pre-trained models.
For more information, see issues
[#351](https://github.com/cmusatyalab/openface/issues/351) and
[#349](https://github.com/cmusatyalab/openface/issues/349).
+ The fantastic Torch ecosystem and community.
+ [Alfredo Canziani's](https://github.com/Atcold)
implementation of FaceNet's loss function in
@ -189,7 +194,7 @@ These portions are noted in the source files and are
copyright their respective authors with
the licenses listed.
Project | Modified | License
---|---|---|
| Project | Modified | License |
|---|---|---|
[Atcold/torch-TripletEmbedding](https://github.com/Atcold/torch-TripletEmbedding) | No | MIT
[facebook/fbnn](https://github.com/facebook/fbnn) | Yes | BSD

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@ -1,4 +1,13 @@
# Models and Accuracies
Note: Kenneth Jung noticed that the model definitions are slightly
different than the pre-trained models.
For more information, see issues
[#351](https://github.com/cmusatyalab/openface/issues/351) and
[#349](https://github.com/cmusatyalab/openface/issues/349).
---
This page overviews different OpenFace neural network models
and is intended for advanced users.

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@ -1,5 +1,13 @@
# Training new neural network models
Note: Kenneth Jung noticed that the model definitions are slightly
different than the pre-trained models.
For more information, see issues
[#351](https://github.com/cmusatyalab/openface/issues/351) and
[#349](https://github.com/cmusatyalab/openface/issues/349).
---
We have also released our deep neural network (DNN)
training infrastructure to promote an open ecosystem and enable quicker
bootstrapping for new research and development.