Parkerr is a open source smart parking browser application that enables you monitor parking spots using a webcam, cellphone camera, or any virtual camera. The tool uses computer vision object detection to operate and all the computation is processed inside browser utilizing TensorFlow.js. Communication between a remote cellphone and the browser is enabled through WebRTC (PeerJS uses PeerServer for session metadata and candidate signaling. as well as Google Stun servers)

Under the MIT License.

Live link

• TensorFlow.js
• Tailwind
• NextJS
• PeerJS (WebRTC)
• YOLO7 (Original Model)
• YOLO7-tfjs (Ported Model)

Yes, it can be processed on a server! Before refactoring the architecture of the entire project, a flask API was built using OpenCV and Yolo3, which worked fine. However, without a very good VPS with a GPU, the CPU can't handle many rendering requests. Functions were created in previous versions of Parkerr that encode the images into blobs to the server. The JSON response might need a bit of tweaking to be compatible, but just switch the process function with an API request. If you do, please make a PR and send a message!

docker pull oxedom/flask_api
docker run -p 5000:5000 flask_api
Dockerhub Image

Here's a list

Yes sure, submit a PR!