YOLO WebUI

Introduction

The YOLO WebUI project serves as an interface for the YOLO object detection and tracking model, facilitating real-time, interactive video streaming. It leverages functionalities from @segment-object-track.py, @ControlPanel.jsx, and @VideoPlayer.jsx to support both educational and practical needs in object tracking.

Table of Contents

• Features
• Components
• Usage
• Installation
• Contributing
• License
• Developer

Features

The YOLO WebUI is designed to enhance real-time interaction with video data through key features:

• Real-time Video Streaming: Efficiently displays live video feeds using the VideoPlayer component.
• Object Detection and Tracking: Integrates the YOLO model via segment-object-track.py to identify and follow objects within the video stream.
• Interactive Control Panel: Facilitates user interaction with the video stream, allowing for start/stop control and source selection through ControlPanel.jsx.

Components

Key components of the YOLO WebUI include:

• Control Panel (ControlPanel.jsx): Manages video stream operations and source selection.
• Video Player (VideoPlayer.jsx): Renders the video content to users.
• Backend Services (segment-object-track.py): Processes video and tracks objects using the YOLO model.

Usage

To effectively use the YOLO WebUI, follow these detailed steps:

1. Clone the repository:

   git clone https://github.com/spmfte/ml-webui

2. Change to the repository directory:

   cd ml-webui

3. Make the startup script executable:

   chmod +x start.sh

4. Run the setup script to install dependencies and set up the environment:

   python setup.py

5. Start the server using the startup script:

   ./start.sh

6. Open a web browser and navigate to:

   localhost:3000
   

   Here, you can interact with the YOLO WebUI, manipulate the video stream, and choose the input source using the control panel.

Contributing

Todo

License

Todo

Developer