Our approach to face detection and recognition is based on FaceNet and InsightFace libraries that use deep neural networks. Face-x provides a convenient REST API for training algorithms to detect and recognize faces from your collection of images (aka Face Collection). The solution also features a role management system that allows you to easily control who has access to your Face Collection.here are several approaches for an algorithm to recognize a face. An algorithm can make use of statistics, try to find a pattern which represents a specific person or use a Convolutional Neural Network (CNN)
This project demonstrates all kinds of algorithms and various operations that can be implemented on a frontal face. The available algorithms process only high-resolution static shots and perform sufficiently well.
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You can refer to the following articles on the basics of Git and Github.
- Watch this video to get started, if you have no clue about open source
- Forking a Repo
- Cloning a Repo
- How to create a Pull Request
- Getting started with Git and GitHub
- Take a look at the Existing Issues or create your own Issues!
- Wait for the Issue to be assigned to you.
- Fork the repository
- Clone the repository using-
git clone https://github.com/akshitagupta15june/Face-X.git
- Create virtual environment
python -m venv env
- Linux
source env/bin/activate
- Windows
env\Scripts\activate
- Install
pip install -r requirements.txt
- Have a look at Contibuting Guidelines
- Read the Code of Conduct
Start Open Source an article by Anush Krishna
akshitagupta15june 👑 Admin |
Thanks goes to these wonderful people ✨✨:
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Please do! Contributions, updates, and pull requests are welcome. This project is community-built and welcomes collaboration. Contributors are expected to adhere to the GOSSC Code of Conduct.
Jump into our Discord! Our projects are community-built and welcome collaboration. 👍Be sure to see the Face-X Community Welcome Guide for a tour of resources available to you.
Not sure where to start? Grab an open issue with the help-wanted label