This repository contains the source code for a sneaker detection project, completed as part of ITCS498 Special Topics in Computer Science. The project is divided into two main parts: a front-end built using React, and a back-end built using Fast API (Python).
- Navigate to the front-end folder:
cd ./front-end/my-react-app/
- Run the front-end application:
npm start
- The server will start at http://localhost:3000
- Prepare the model weights.
- Create a folder named "weight".
- Download the model weights from URL 4.Place the downloaded weights in the "weight" folder.
- Navigate to the service_api folder:
cd ./service_api
- Run the command to start the back-end server:
uvicorn app:app
Now, you can use the sneaker detection application through the front-end interface while the back-end server processes the data.