Facex

Facial Recognition and Tracking Application using Deep Learning.

Overview

Developed web application to perform modern face recognition using deep learning and transfer learning approach. Researched available pre-trained models and algorithms providing better accuracy and requiring less computation.

Features

• It has features like creating the dataset from uploaded images, training the classifier, creating a PDF report with facial measurements, and matching probability. Other features like account sign in/up. Used Dlib Resnet Pre-Trained Model and Face_Recognition API.
• This UI is built using Django Framework.
• Python Libraries used in this project are mentioned in 'requirements.txt'.

Project Screenshots:

Credits

• This project uses Face_Recognition API by Adam Geitgey. https://github.com/ageitgey/face_recognition
• This project uses Dlib by Davis King. https://github.com/davisking/dlib.

Next Steps

• Improvements in the UI.
• Explore other possible algorithms/libraries/fwks to achieve better results.

Contribution

• All contributions/suggestions are welcome!