The Ihu repository contains the codebase that runs on the raspberry-side of Project Ihu.
This code was tested on the Raspbian Buster OS in a virtual machine but would probably work just fine with the Raspberry Pi 4/3/2 running on a similar Raspbian OS. If you using a Raspberry Pi to run, I would recommend at least a class 10, 16GB SD card to go with it. If you are running from a virtual machine you may want to allocate at least 32GB storage, 2GB RAM and 64MB video memory for this to work properly.
- Raspbian OS For Desktop (Click to download the latest release).
- Open CV
- Face_recognition Library
- VirtualBox, if you would be running a virtual machine. Click here to download.
Here are some useful url's to help guide you in installing some of the software requirements for this program.
- Installing Raspbian OS for Desktop in Virtual Box
- Installing OpenCV on the Raspberry Pi
- Installing dlib and face_recognition library on Raspberry Pi
Once you have all the necessary requirements setup, run the program on any python editor and see it work like a spark. 'PS: ensure a webcam is connected.' Cheers!