Introduction
Today, In this article we will implement face recognition Built using dlib's state-of-the-art face recognition built with deep learning. The model has an accuracy of 99.38% on the Labeled Faces in the Wild benchmark.
It's more like documentation than a face recognition tutorial.
Usgaes
1.Git clone the Repository
git clone https://github.com/codePerfectPlus/FacialRecognition
2.Add Your Image in Images
folder. exmaple >> name.jpeg
3.Install the requirements file
# windows
python -m venv frenv
frenv/Scripts/activate.bat
python -m pip install -r requirements.txt
# Linux/Mac
python -m venv frenv
source frenv/bin/activate
python -m pip install -r requirements.txt
4.Run the Script
python FaceRec.py
NOTE:-
# incase installtation stuck on dlib
python -m pip install dlib -vvv
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