Face-X: A Jupyter Notebook repository from suneelkumarpentela

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Demonstration of different algorithms and operations on faces

Recognition-Algorithms

Despite a variety of open-source face recognition algorithms available, there was no ready-made solution to implement. So In this project all kind of algorithms are implemented and even with various operations that can be implemented in a frontal face. The available algorithms processed only high-resolution static shots and have performed sufficiently well.

There are several approaches for recognizing a face. The algorithm can use statistics, try to find a pattern which represents a specific person or use a convolutional neural network.

Requirements 👇

Python3.6+
virtualenv (pip install virtualenv)

Installation 👇

Create virtual environment-

- `python -m venv env`
- `source env/bin/activate`  (Linux)
- `env\Scripts\activate`  (Windows)
- `pip install -r requirements.txt`

⭐ How to get started?

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

💥 How to Contribute in 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

Read the Code of Conduct
Create a Pull Request which will be reviewed and suggestions would be added to improve it.
Add Screenshots to help us know what this enhancement/implementation is all about.