Poor Man's Rekognition
This project aims at providing a free alternative to Amazon Rekognition services.
Setup
For End-User
git clone https://github.com/pymit/Rekognition
docker image build ./
Note down the IMAGEID at the end and run the docker
docker run -p 8000:8000 <IMAGEID>
For Developers
To setup the project locally for development environment check this wiki link
Usage
This project currently supports
| Feature | cURL |
|---|---|
| Face Recognition with FaceNet | curl -i -X POST -H "Content-Type: multipart/form-data " -F "file=@<path to image file> " --form network=1 http://127.0.0.1:8000/api/image/ |
| Face Recognition with RetinaNet | curl -i -X POST -H "Content-Type: multipart/form-data " -F "file=@<path to image file> " --form network=2 http://127.0.0.1:8000/api/image/ |
| Similar Face Search | curl -i -X POST -H "Content-Type: multipart/form-data" -F "file=@ <path to reference image>" -F "compareImage=@ <path to compare Image>" http://127.0.0.1:8000/api/simface/ |
| NSFW Classifier | curl -i -X POST -H "Content-Type: multipart/form-data " -F "file=@<path to image file> " http://127.0.0.1:8000/api/nsfw/ |
| Text Extraction | curl -i -X POST -H "Content-Type: multipart/form-data " -F "file=@<path to image file> " http://127.0.0.1:8000/api/scenetext/ |
| Object Detection | curl -i -X POST -H "Content-Type: multipart/form-data " -F "file=@<path to image file> " http://127.0.0.1:8000/api/objects/ |
| Scene Classification | curl -i -X POST -H "Content-Type: multipart/form-data " -F "file=@<path to image file> " http://127.0.0.1:8000/api/scenedetect/ |
Details on documentation can be found here.
Communication
Real-time communication for this project happens on slack channel of CCExtractor Development, channel link. You may join this channel via this link
References
This project uses the following.
License
This software is licensed under GNU GPLv3. Please see the included License file.
