deface 0.4.0

Video anonymization by face detection

Deface: Video anonymization by face detection

Installation

From PyPI (official releases):

$ pip install deface

Current git master:

$ pip install 'git+https://github.com/mdraw/deface'

Usage

Basic usage after installing the deface package:

$ deface <input.mp4> -o <output.mp4>

Show help and all options:

$ deface -h

Hardware acceleration with ONNX Runtime

CUDA (on Nvidia GPUs)

If you have a CUDA-capable GPU, you can enable GPU acceleration by installing the relevant packages:

$ pip install onnx onnxruntime-gpu

If the onnxruntime-gpu package is found and a GPU is available, the face detection network is automatically offloaded to the GPU. This can significantly improve the overall processing speed.

Other platforms

If your machine doesn't have a CUDA-capable GPU but you want to accelerate computation on another hardware platform (e.g. Intel CPUs), you can look into the available options in the ONNX Runtime build matrix.

Credits

• centerface.onnx (original) and centerface.py (modified) are based on https://github.com/Star-Clouds/centerface (revision 8c39a49), released under MIT license