metadata
emoji: 👀
sdk: static
pinned: false
license: mit
title: Realtime YOLOv9 Object Detection WebGPU (Vue)
colorFrom: blue
colorTo: green
models:
- Xenova/yolos-tiny
- Xenova/gelan-c_all
short_description: Yet another Realtime YOLOv9 Object Detection WebGPU
Realtime YOLOv9 Object Detection WebGPU (Vue)
[Try it]
Heavily inspired by WebGPU Video Object Detection - a Hugging Face Space by Xenova
Realtime YOLOv9 Object Detection WebGPU
Getting Started
Follow the steps below to set up and run the application.
1. Clone the Repository
Clone the examples repository from GitHub:
git clone https://github.com/proj-airi/webai-examples.git
2. Navigate to the Project Directory
Change your working directory to the yolov9-od-realtime-webgpu folder:
cd apps/yolov9-od-realtime-webgpu
3. Install Dependencies
Install the necessary dependencies using npm:
npm i
4. Run the Development Server
Start the development server:
npm run dev
The application should now be running locally. Open your browser and go to http://localhost:5175 to see it in action.
Acknowledgements
Great thanks to what Xenova have done.