Created by: natanielruiz
What is this Python project?
Dockerface is an easy to install and use deep learning face detection for images and video in a docker container. It is meant for research and open for industry and personal use. It deploys a trained Faster R-CNN network on Caffe through an easy to use docker image. Bring your videos and images, run dockerface and obtain videos and images with bounding boxes of face detections and an easy to use face detection annotation text file.
What's the difference between this Python project and similar ones?
Dlib has a non deep learning face detector with python bindings and a deep learning face detector with no python bindings. Our project has python scripts from a deep learning face detector and a pre-trained face detector. It is also easy to install, just download the docker container and follow the instructions. opencv has python bindings for a non-deep learning face detector. face-py-faster-rcnn is the inspiration for this project. We implement their training regime and we deploy it in an easy to use docker container.
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