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

• OpenCV's deep neural net 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 python3.8
• Install VS C++ build tools
• 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_recognition
• cd face_recognition
• pip install virtualenv
• virtualenv.exe venv
  • Might be that you need to run: C:\Users\DP Medialab\AppData\Roaming\Python\Python39\Scripts\virtualenv.exe (see pip output)
• .\venv\Scripts\activate
  • Might be that you need to first run Set-ExecutionPolicy -ExecutionPolicy RemoteSigned -Scope CurrentUser
• cd .\dnn\face_detector
• python.exe .\download_weights.py
• cd ..\..
• pip.exe install -r requirements.txt
• 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

• Fetch SourceSansPro-Regular.ttf from the internet
• Make the installer:
  • Either one of:
    • & 'C:\Users\DP Medialab\AppData\Roaming\Python\Python38\Scripts\pyinstaller.exe' .\mirror.py --add-binary '.\visualhaar\target\release\visual_haarcascades_lib.dll;.' --add-data '.\haarcascade_frontalface_alt2.xml;.' --add-data '.\SourceSansPro-Regular.ttf;.' --add-data 'dnn;dnn'
    • & '.\venv\Scripts\pyinstaller.exe' .\mirror.py --add-binary '.\visualhaar\target\release\visual_haarcascades_lib.dll;.' --add-data '.\haarcascade_frontalface_alt2.xml;.' --add-data '.\SourceSansPro-Regular.ttf;.' --add-data 'dnn;dnn' --hidden-import 'scipy.spatial.transform._rotation_groups' --hidden-import 'skimage.filters.rank.core_cy_3d'
  • Compress-Archive -LiteralPath .\dist\mirror -DestinationPath .\dist\mirror.zip
• We could also use wine for cross compilation from Linux
  • make sure wine is set to pose as Windows 10 (winecfg)
  • wine ~/Downloads/python-3.9.0-amd64.exe (or whichever version you use)
    • Install for all users

On windows in VirtualBox

See this on getting the webcam working in the VM:

1. Install extension pack: sudo apt install virtualbox-ext-pack
2. VBoxManage list webcams
3. VBoxManage controlvm "WIn10" webcam attach .3

Instructor help

If screen stays black: is the camera on?

Enable camera through keyboard (MSI laptops: fn+F6). Then go to Settings/Instellingen -> Privacy instellingen voor camera -> Grant apps access to camera.