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.
- Python3.6+
- virtualenv (
pip install virtualenv)
- Create virtual environment-
- `python -m venv env`
- `source env/bin/activate` (Linux)
- `env\Scripts\activate` (Windows)
- `pip install -r requirements.txt`
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
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.
Start Open Source an article by Anush Krishna
Thanks goes to these wonderful people ✨✨:
