Video anonymization by face detection
Project description
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 -i <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) andcenterface.py
(modified) are based on https://github.com/Star-Clouds/centerface (revision 8c39a49), released under MIT license
Project details
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