Cotton-Detection

Overview

This project is a server application that utilizes a camera to recognize objects in real-time and sends their coordinates to a client. It is designed to be modular, with separate components for camera handling, object recognition, and network communication.

Setup Instructions

1. Clone the repository:

   git clone https://github.com/JianZhang-Group/Cotton-Detection
   cd Cotton-Detection
   

2. Install dependencies: Ensure you have Python installed, then run:

   pip install -r requirements.txt
   

   Then, you can follow the instruction on pyorbbecsdk to setup the environment.

3. Configure the application: Edit the config.yaml file to set your camera parameters.

Usage

To run the application, execute the following command:

python main.py

The application will initialize the server.

Packaged

Run the following command:

pyinstaller main.py --contents-directory . --add-data "models;models" --add-data "config.yaml;." -n Cotton-Detection

Contributing

Contributions are welcome! Please submit a pull request or open an issue for any enhancements or bug fixes.

License

This project is licensed under the MIT License. See the LICENSE file for details.