/face-recognition-vggface2

The VGGFace refers to a series of models developed for face recognition and demonstrated on benchmark computer vision datasets by members of the Visual Geometry Group (VGG) at the University of Oxford.

Primary LanguagePythonMIT LicenseMIT

Face recognition using vggface2

Face recognition is the general task of identifying and verifying people from photographs of their face.This is a ready to use face recognition code using vggface2. The VGGFace refers to a series of models developed for face recognition and demonstrated on benchmark computer vision datasets by members of the Visual Geometry Group (VGG) at the University of Oxford.

Getting Started

These instructions will get you a copy of the project up and running on your local machine for development and testing purposes. See deployment for notes on how to deploy the project on a live system.

git clone https://github.com/aaronpp65/face-recognition-vggface2.git

Prerequisites

What things you need to install and how to install them

pip install face_recognition

# Most Recent One (Suggested)
pip install git+https://github.com/rcmalli/keras-vggface.git
# Release Version
pip install keras_vggface

sudo pip install mtcnn

Usage

Adding a face to the database

from face_recognizer import FaceRecognizer
import cv2

fce=FaceRecognizer()
# path to the image of face
camera = cv2.imread('/home/phi/Neuroplex/face-recognition-vggface2/mals.jpg')
camera = cv2.cvtColor(camera, cv2.COLOR_BGR2RGB)
# name of the person
fce.add_new_face(camera,'mals')

To run

python add_new_face.py

Running the recognizer

python main.py

Deleting a face from the database

from face_recognizer import FaceRecognizer

fce=FaceRecognizer()
# name of the person to be deleted from the databse
fce.delete_a_face('mals')

To run

python delete_face.py

Contributing

Please read CONTRIBUTING.md for details on our code of conduct, and the process for submitting pull requests to us.

Authors

See also the list of contributors who participated in this project.

License

This project is licensed under the MIT License - see the LICENSE.md file for details

Acknowledgments