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Demonstration of different algorithms and operations on faces. Join the Discord channel for discussion.

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Demonstration of different algorithms and operations on faces

Despite the availability of a variety of open source face recognition algorithms, there are no ready-made solutions which can be implemented directly. 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.


There 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).

⭐ How to get started with open source?

You can refer to the following articles on the basics of Git and Github.


💥 How to Contribute to Face-X?

  • Take a look at the Existing Issues or create your own Issues!
  • Wait for the Issue to be assigned to you.
  • Fork the repository

click on the uppermost button

  • Clone the repository using-
git clone https://github.com/akshitagupta15june/Face-X.git

Installation 👇

  1. Create virtual environment
python -m venv env
  1. Linux
source env/bin/activate

OR

  1. Windows
env\Scripts\activate
  1. Install
pip install -r requirements.txt

Face-X is a part of these open source programs❄



Get Started with Open Source programs 👨‍💻

Start Open Source an article by Anush Krishna

❤️ Project Admin


akshitagupta15june

👑 Admin

🌟 Contributors

Thanks goes to these wonderful people ✨✨:

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