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About The Project

This project is a preparation stage for making a good GAN, more specifically a big dataset for face generation

you can get theoretically (Video Duration (seconds) ) * (fps) faces.

Built With

  • Python 3.6
    • face_recognition 1.3.0
    • opencv-python 4.2.0.32

Getting Started

My CPU had 12 cores so I ran 10 processes simultaneously using multiprocessing however you could set the number of process by changing the value of SEGMENT

Prerequisites

install pipenv

pip3 install pipenv

Installation

  1. clone this repo

    git clone https://github.com/hajindvlp/Sebom.git
    cd Sebom
    
  2. install packages

    pipenv install    
    

Usage

  1. Make required directories

    mkdir videos
    mkdir faces 
  2. Put a video that has faces

  3. Run the program

    pipenv shell
    python3 main.py

Acknowledgements

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Simple Multiprocessing Face Donwloader

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