This demo shows 2 face detectors:
- OpenCVs Viola Jones implementation (red)
- YOLOv2 trained on the WIDER FACE dataset (green)
It's using OpenCV's dnn module for YOLO inference. Check out the video below:
You can easily run this demo by cloning this repo and running the run.sh
script, or with docker directly:
xhost + && \
docker run --privileged --rm -it \
-e DISPLAY=unix$DISPLAY \
-v /tmp/.X11-unix:/tmp/.X11-unix \
housebw/demo python app.py
The housebw/demo
docker image includes all necessary dependencies as well as the trained models.
Check out the 5 pre trained models in the zoo!