A `mirror` which shows which faces are detected through three different facial detection algorithms:

* OpenCV's deep neural net [face detector](https://github.com/opencv/opencv/tree/master/samples/dnn/face_detector).
* Dlib's default frontal face detector, which is HOG based
* A Viola-Jones Haarcascade detection. Any OpenCV compatible xml file should work. It defaults to the canonical `haarcascade_frontalface_alt2.xml`.

# Installation


## on windows

The installation in Windows can be done, though it is quite elaborate:

* Install python3
* Install VS C++
* Install Cmake (needed for python dlib)
    + make sure to add it to path 
* Install git
    + including ssh deploy key
* `git clone https://git.rubenvandeven.com/r/face_detector`
* `cd face_recognition`
* `pip install virtualenv`
* `virtualenv.exe venv`
* `.\venv\Scripts\activate`
* `cd .\dnn\face_detector`
* `python.exe .\download_weights.py`
* `cd .\visualhaar`
* Either one of:
    + Compile rust library
        * Install rustup-init
        * `git submodules init`
        * `git submodules update`
        * `cargo build --lib --release`
    + Download dll from https://git.rubenvandeven.com/r/visualhaar/releases