Table of Contents
About The Project!
This repository aims to provide dockerized, convenient, easy deployable and scalable REST API for face detection and emotion recognition pipeline using FastAPI.
README.md to get started.
The important frameworks/libraries used in this project are listed below.
To get a local copy up and running follow these simple example steps.
To run the API, after install
docker, execute the following commands:
- Create Docker Image
docker build -t face_emotion_recognition:1.0 .
- Run Docker Container
docker run -p 8000:8000 -d face_emotion_recognition:1.0
- Start FastAPI Service
open the browser and write
localhost:8000/docs in the url place to start Swagger UI
- Test The Service
Use the images below to work with the service.
If you have a suggestion that would make this better, please fork the repo and create a pull request. You can also simply open an issue with the tag “enhancement”.
Don’t forget to give the project a star! Thanks again!
- Fork the Project
- Create your Feature Branch (
git checkout -b features)
- Commit your Changes (
git commit -m 'Add some Features')
- Push to the Branch (
git push origin features)
- Open a Pull Request
Distributed under the MIT License. See
LICENSE.txt for more information.
- Email : [email protected]
- Linkedin : https://www.linkedin.com/in/aliaminibagh/
- Project Link: Facial-emotion-recognition-FastAPI-service