birenmer / face_recog_sal

This repository was made with the intention of educating Sal College students, since it would be utilized in a lecture for those students.

face_recog_sal

This repository was made with the intention of educating Sal College students, since it would be utilized in a lecture for those students.
This is simple to start
Step 1 Create a Virtual environment in python using vevn module Linux:
sudo apt install python3-venv
Step 2: After creating the venv check the version of pip and setup tool
Use pip list command
Use command pip install module_name --upgrade to upgrade any module if needed
Let's Start the real thing!!
Install the dependencies mentioned below
sudo apt-get install build-essential cmake pkg-config libx11-dev libatlas-base-dev libgtk-3-dev libboost-python-dev python3-dev python3-pip
Follow the below steps to install the dlib library

wget http://dlib.net/files/dlib-19.9.tar.bz2
tar xvf dlib-19.9.tar.bz2
cd dlib-19.9/
mkdir build
cd build
cmake ..
cmake --build . --config Release
sudo make install
sudo ldconfig
cd ..
pkg-config --libs --cflags dlib-1

After installing the dlib library install the other libraries using command pip install -r requirements.txt
Create a train_dir folder in this folder create a sub folder with person's name and put at least 3 images of that person inside that folder

----train_dir
    |
    |---Person_1
    |  |
    |  --images
    ---Person_2
       |
       --images

Run the code and you are ready to go
This is the source repo :- Face_recognition_github
Also create a folder name unknown_capture