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kisspng-facial-recognition-system-computer-icons-biometric-5b3c7edc93a841-7092238415306912926048

faceRecognition

face recognition is an project that uses deep learning algorithm to detect faces and identify according to your training data.

Explore the docs »

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About The Project

Screen Shot

Getting Started

This is an example of how you may give instructions on setting up your project locally. To get a local copy up and running follow these simple example steps.

Prerequisites

required libraries and version for smooth working

install required python libraries

dlib == 19.24.0
face_recognition == 1.3.0
numpy == 1.24.2
opencv == 4.8.1

To install above libraries use the following,

pip install -r requirements.txt
please, don't forget to use correct name of the library


Installation

  1. Clone the repo
git clone https://github.com/Anas-github-acc/Face_Recognition.git

  1. Install the required libraries ( go through above mention steps )

  2. Run the command in your terminal this gives you complete guide how to get train your images and run detection code

~$python main.py --help

Quick run

python3 main.py --help
Usage: python3 main.py [option] ... [-t | --train /d /f ] [-a | --auth] [-C | --cam] [-V | --video] 
[-v | --version] [-h | --help]
            Options:
            -t, --train     Train the model
                  /data     Show the trained data
                  /folder   Train the model with images in folder 'training'
            -a, --auth      Authenticate the user
                  /folder   Authenticate the user with images in folder 'validation'
            -C, --cam       Open the camera
            -V, --video     Record the video
            -v, --version   Show the version
            -h, --help      Show this help

Contributing

Contributions are what make the open source community such an amazing place to be learn, inspire, and create. Any contributions you make are greatly appreciated.

  • If you have suggestions for adding or removing projects, feel free to open an issue to discuss it, or directly create a pull request after you edit the README.md file with necessary changes.
  • Please make sure you check your spelling and grammar.
  • Create individual PR for each suggestion.
  • Please also read through the Code Of Conduct before posting your first idea as well.

Creating A Pull Request

  1. Fork the Project
  2. Create your Feature Branch (git checkout -b feature/AmazingFeature)
  3. Commit your Changes (git commit -m 'Add some AmazingFeature')
  4. Push to the Branch (git push origin feature/AmazingFeature)
  5. Open a Pull Request