This is a web application for Urban Scene Segmentation for Autonomous Cars, using two models Baseline and MTKT, that can handle unsupervised domain adaptation (UDA) problem for multi-target datasets. It consumes FastAPI in the following repo https://github.com/mohamedelmesawy/Web-API-FastAPI

✔️ Fine Segmentation for unlabeled or coarse segmentated image.
✔️ Segmentation with calculation of mIOU for labeled image.

The following tools were used:

• Pthon
• Flask
• FastAPI

Before starting, you need to have Git and Anaconda installed.

# Clone this project
$ git clone [email protected]:mohamedelmesawy/Web-Application-Client-Flask
# make sure to run the server first 
$ uvicorn main:app --reload
# Run the Application app.py
$ python app.py

By RAM-Team: MOhamed ElMesawy, Afnan Hamdy, Rowan ElMahalawy, Ali Hassanin, and MOhamed Samaha