This is the backend API for the FGR Custom Vision License Plate Detector. It showcases some of my experience with Computer Vision. Specificlly in the relam of Object Detection dn Object Localization. I utilize the YOLOv4 Object Detection Algorithm.
Learn More about my FGR Custom Vision License Plate Detector here
- Pull image
docker pull dariv94/license_plate_detector:2.0
This will take some time since the dependancies to run tensorflow, opencv-python and numpy are large. - Run Container
docker run --rm -p 5000:5000 dariv94/license_plate_detector:2.0
- This may take a minute or two to get up a running, but then you should be apply to make a request as follows
method | endpoint | body |
---|---|---|
POST | http://localhost:5000/image | Form Data: images + YourImage.png/.jpeg/.jpg/.bmp |
This is an FGR project.
To see some more of my projects you can go to FrankieRiviera.com