Live visualisation of various facial recognition algorithms.

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Ruben van de Ven 2af58fc170 Styling and saves now flip back		2020-10-02 16:52:34 +02:00
.vscode	latest visualhaar	2020-10-02 14:11:02 +02:00
dnn	All sorts of test scripts and the first functional mirror version	2020-09-15 10:28:52 +02:00
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visualhaar@a6ac50c3b3	update visualhaar	2020-10-02 14:59:54 +02:00
.gitignore	Save images with spacebar	2020-09-23 17:18:10 +02:00
.gitmodules	Crisper output and many configuration to cli arguments	2020-09-23 15:58:36 +02:00
dnn_test.py	All sorts of test scripts and the first functional mirror version	2020-09-15 10:28:52 +02:00
haarcascade_frontalface_alt2.xml	All sorts of test scripts and the first functional mirror version	2020-09-15 10:28:52 +02:00
hog_test.py	All sorts of test scripts and the first functional mirror version	2020-09-15 10:28:52 +02:00
live_dnn.py	All sorts of test scripts and the first functional mirror version	2020-09-15 10:28:52 +02:00
live_hog.py	All sorts of test scripts and the first functional mirror version	2020-09-15 10:28:52 +02:00
mirror.py	Styling and saves now flip back	2020-10-02 16:52:34 +02:00
README.md	Styling and saves now flip back	2020-10-02 16:52:34 +02:00
recognition_test.py	All sorts of test scripts and the first functional mirror version	2020-09-15 10:28:52 +02:00
requirements.txt	changes for windows compatibility	2020-09-24 10:06:28 +02:00
test_rec.py	All sorts of test scripts and the first functional mirror version	2020-09-15 10:28:52 +02:00
test_rust.py	Crisper output and many configuration to cli arguments	2020-09-23 15:58:36 +02:00
video_multiprocess.py	All sorts of test scripts and the first functional mirror version	2020-09-15 10:28:52 +02:00
video_threading.py	All sorts of test scripts and the first functional mirror version	2020-09-15 10:28:52 +02:00

README.md

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
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