author: Tobias Schoch
A small web service running in a docker container that enables face recognition in images.
- changed to nas paths
- changed to facerec==0.1.5
- changed to service, working on windows
- add .env to gitignore
- added a compose for the service
- changed to python-facerec v0.1.0
- fixed config persistency
- added usage documentation
- exposed configuration /config/ (threshold parameter)
- changelog adapted
- added delete and patch faces and general RESTfulness
- fixed tests
- show number of stored faces at startup
- persistent data base configuration
- added tests for flask service
- working docker file for facerec server
- add working python-facerec
- added the service api for code and image requests
- added docker frame and package
- rerouted and nice rectangle and fontsize
- added image scaling and font size
- improved form, added routes
- basic teach and identify over web
- some small changes
- working upload
- adapted identify page
- added data directory
- update readme
- initial service draft
- initial version
docker run -v data:/data -p 8081:80 --name facerec-server shocki/facerec
Faces database is stored in /data. The web services are exposed on port 80.
To install use pip:
git clone https://github.com/toschoch/docker-facerec.git
pip install -r docker-facerec/requirement.txt
python facerec_service.py
Webinterface with browser on port 80.
REST-API Endpoints:
/faces(GET) list of faces/faces/<id or name>(GET, PATCH, DELETE) get, modify or delete face entry/config(GET, PATCH) get or modify configuration parameters/image/indentify(POST) post an image and identify persons on it/image/teach(POST) post an image and a name to teach the system a face/facecode/identify(POST) post a facecode and identify persons on it/facecode/teach(POST) post a facecode and a name to teach the system a face
Web-API Endpoints:
/,/identifybrowser interface for identification/teachbrowser interface for teaching