Script usage:

1. cam2sam.py: Collect samples from camera. cam2sam offers: - ID config - Face size and target size

2. camera.py: Labelize face using specific model.

• We researched for efficient algorithm for face classification, end up with SVM-RBF Steps to reproduce: Follow experiments.ipynb to execute tests and see SVM-RBF actual configs

• We built client-server model for applying model into practice:

Setup:

1. Install requirements:

pip3 install -r requirements.txt 

2. Run server:

cd server
python3 server.py

3. Run client:

cd ../client
GPIO=true python3 client.py

Caution:

• GPIO=true will require package RPi.GPIO to be installed
• We offer config in client.py, please have a look at the script for proper config to make script works on your environment

Some screenshots:

• vinhphuctadang@gmail.com
• dcongtinh@gmail.com

Please leave us feedback if there are some issues with this repo. Enjoy your day!!!