https://github.com/mrlathome/faceutils
Face recognition using dlib and kNN classification (ROS compatible)
https://github.com/mrlathome/faceutils
dlib dlib-tracker face-landmarks face-recognition gender-classification iranian knn-classification
Last synced: 10 months ago
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Face recognition using dlib and kNN classification (ROS compatible)
- Host: GitHub
- URL: https://github.com/mrlathome/faceutils
- Owner: mrlathome
- Created: 2018-01-11T08:21:14.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2019-05-22T07:38:12.000Z (almost 7 years ago)
- Last Synced: 2024-11-15T16:41:23.518Z (over 1 year ago)
- Topics: dlib, dlib-tracker, face-landmarks, face-recognition, gender-classification, iranian, knn-classification
- Language: Python
- Homepage:
- Size: 18.5 MB
- Stars: 37
- Watchers: 5
- Forks: 22
- Open Issues: 1
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Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## MRL @Home face recognition
> Face recognition using `dlib` and `kNN` classification with ROS compatibility.
[](https://www.python.org/)
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### Face detector in a Docker image
Take a look at [facedetector](https://github.com/ahmdrz/facedetector). It's a simple Flask and docker-ready application that works as a server to detect faces, genders and their landmarks.
### Caution
The `Master` branch is heavily under development. Please use `v1` branch instead of `Master`.
### Wiki
For details, please read our notes on [Wiki Pages](https://github.com/mrlathome/faceutils/wiki).
### Tests
```bash
$ sudo pip install nose
$ python2.7 -m nose -v --nocapture
```
### ROS module
To install it as ROS module, first of all, install `faceutils` with `pip` and then clone this repository to your `catkin_ws`. Do not forget to run `catkin_make`.
### Contribution
It's simple. Fork and work on it !
Remember to write a tests in `tests` directory before sending PR.
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[](https://lbesson.mit-license.org/)
[](https://www.qiau.ac.ir/)