Audience Analyzer is a Python project built to analyze faces in images and videos. It uses the Deepface library to detect faces and analyze attributes like age, gender, race and emotion. The project can be used for various purposes like analyzing the demographics of a crowd, identifying similar faces, detecting potential clones or generating reports for analyzed faces.
git clone https://github.com/Veucci/Audience-Analyzer.git
pip install -r requirements.txt
You can download the binaries from the official website of FFmpeg or install it via package managers like Homebrew (macOS), Chocolatey (Windows) or apt-get (Linux).
Run project
python main.py
-
Detailed reports
-
Switch from command line to website
-
Better models to get more accuracy
This project is licensed under the MIT License - see MIT for more details.