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Add 0.2.0 release notes.
Thanks @hbredin and @melgor!
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docs/release-notes.md

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# Release Notes
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## 0.2.0 (2016/01/19)
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+ See [this blog post](http://bamos.github.io/2016/01/19/openface-0.2.0/)
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for an overview,
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[the GitHub Milestone](https://github.com/cmusatyalab/openface/milestones/v0.2.0)
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for a high-level issue summary.
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+ Training improvements from resulting in an accuracy increase from **76.1% to 92.9%**,
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which are from Bartosz Ludwiczuk's ideas and implementations in
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[this mailing list thread](https://groups.google.com/forum/#!topic/cmu-openface/dcPh883T1rk).
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These improvements also reduce the training time from a week to a day.
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+ Nearly halved execution time thanks to [Hervé Bredin's](http://herve.niderb.fr/)
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suggestions and sample code for image alignment in
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[Issue 50](https://github.com/cmusatyalab/openface/issues/50).
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+ Hosted
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[Python API Documentation](http://openface-api.readthedocs.org/en/latest/index.html).
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+ [Docker automated build](https://hub.docker.com/r/bamos/openface) online.
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+ Initial automatic tests written in [tests](https://github.com/cmusatyalab/openface/tree/0.2.0/tests).
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+ [Tests successfully passing](https://travis-ci.org/cmusatyalab/openface/branches)
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in the Docker automated build in Travis.
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+ Add `util/profile-pipeline.py`
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[util/profile-pipeline.py](https://github.com/cmusatyalab/openface/tree/0.2.0/util/profile-pipeline.py)
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to profile the overall execution time on a single image.
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## 0.1.1 (2015/10/15)
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+ Fix debug mode of NaiveDlib alignment.
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+ Add util/prune-dataset.py for dataset processing.
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+ Add
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[util/prune-dataset.py](https://github.com/cmusatyalab/openface/tree/0.1.1/util/prune-dataset.py)
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for dataset processing.
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+ Correct Docker dependencies.
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## 0.1.0 (2015/10/13)

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