38 lines
1.7 KiB
Markdown
38 lines
1.7 KiB
Markdown
# Release Notes
|
|
|
|
## 0.2.1 (2016/01/25)
|
|
+ Minor bug fixes and improved error messages.
|
|
+ Add a LFW classification experiment and an outlier detection script.
|
|
|
|
## 0.2.0 (2016/01/19)
|
|
+ See [this blog post](http://bamos.github.io/2016/01/19/openface-0.2.0/)
|
|
for an overview and
|
|
[the GitHub Milestone](https://github.com/cmusatyalab/openface/milestones/v0.2.0)
|
|
for a high-level issue summary.
|
|
+ Training improvements from resulting in an accuracy increase from **76.1% to 92.9%**,
|
|
which are from Bartosz Ludwiczuk's ideas and implementations in
|
|
[this mailing list thread](https://groups.google.com/forum/#!topic/cmu-openface/dcPh883T1rk).
|
|
These improvements also reduce the training time from a week to a day.
|
|
+ Nearly halved execution time thanks to [Hervé Bredin's](http://herve.niderb.fr/)
|
|
suggestions and sample code for image alignment in
|
|
[Issue 50](https://github.com/cmusatyalab/openface/issues/50).
|
|
+ Hosted
|
|
[Python API Documentation](http://openface-api.readthedocs.org/en/latest/index.html).
|
|
+ [Docker automated build](https://hub.docker.com/r/bamos/openface) online.
|
|
+ Initial automatic tests written in [tests](https://github.com/cmusatyalab/openface/tree/0.2.0/tests).
|
|
+ [Tests successfully passing](https://travis-ci.org/cmusatyalab/openface/branches)
|
|
in the Docker automated build in Travis.
|
|
+ Add
|
|
[util/profile-pipeline.py](https://github.com/cmusatyalab/openface/tree/0.2.0/util/profile-pipeline.py)
|
|
to profile the overall execution time on a single image.
|
|
|
|
## 0.1.1 (2015/10/15)
|
|
+ Fix debug mode of NaiveDlib alignment.
|
|
+ Add
|
|
[util/prune-dataset.py](https://github.com/cmusatyalab/openface/tree/0.1.1/util/prune-dataset.py)
|
|
for dataset processing.
|
|
+ Correct Docker dependencies.
|
|
|
|
## 0.1.0 (2015/10/13)
|
|
+ Initial release.
|