https://github.com/fedoxyz/realtimecv
Real Time Object Detection with YoloV8 flask server using WebSockets and VueJS as client in Docker containers
https://github.com/fedoxyz/realtimecv
docker flask-socketio vuejs yolov8n
Last synced: about 2 months ago
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Real Time Object Detection with YoloV8 flask server using WebSockets and VueJS as client in Docker containers
- Host: GitHub
- URL: https://github.com/fedoxyz/realtimecv
- Owner: fedoxyz
- Created: 2024-09-20T18:05:13.000Z (almost 2 years ago)
- Default Branch: main
- Last Pushed: 2024-11-05T18:24:29.000Z (over 1 year ago)
- Last Synced: 2025-01-29T19:25:22.543Z (over 1 year ago)
- Topics: docker, flask-socketio, vuejs, yolov8n
- Language: Vue
- Homepage:
- Size: 10.5 MB
- Stars: 0
- Watchers: 1
- Forks: 0
- Open Issues: 0
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
# Install
Clone repository and change directory
```
git clone https://github.com/fedoxyz/RealTimeCV
cd RealTimeCV
```
Build from Dockerfiles
```
cd server && docker build -t server .
cd ../client && docker build -t client .
```
Be sure to have nvidia-container-toolkit installed on your host machine to run with GPU.
Run containers for server and client images
```
docker run --rm --gpus all -p 5000:5000 server
docker run -p 80:80 client
```