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https://github.com/kaylorchen/rk3588-yolo-demo
The project is a multi-threaded inference demo of Yolov8 running on the RK3588 platform, which has been adapted for reading video files and camera feeds. The demo uses the Yolov8n model for file inference, with a maximum inference frame rate of up to 100 frames per second.
https://github.com/kaylorchen/rk3588-yolo-demo
Last synced: 2 months ago
JSON representation
The project is a multi-threaded inference demo of Yolov8 running on the RK3588 platform, which has been adapted for reading video files and camera feeds. The demo uses the Yolov8n model for file inference, with a maximum inference frame rate of up to 100 frames per second.
- Host: GitHub
- URL: https://github.com/kaylorchen/rk3588-yolo-demo
- Owner: kaylorchen
- License: mit
- Created: 2024-03-04T11:48:21.000Z (12 months ago)
- Default Branch: master
- Last Pushed: 2024-05-28T03:26:07.000Z (9 months ago)
- Last Synced: 2024-05-29T04:06:32.017Z (9 months ago)
- Language: C++
- Homepage:
- Size: 159 MB
- Stars: 47
- Watchers: 2
- Forks: 7
- Open Issues: 0
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Metadata Files:
- Readme: readme.md
- License: LICENSE
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- awesome-yolo-object-detection - kaylorchen/rk3588-yolo-demo - yolo-demo?style=social"/> : The project is a multi-threaded inference demo of Yolo running on the RK3588 platform, which has been adapted for reading video files and camera feeds. The demo uses the Yolov8n model for file inference, with a maximum inference frame rate of up to 100 frames per second. (Lighter and Deployment Frameworks)
- awesome-yolo-object-detection - kaylorchen/rk3588-yolo-demo - yolo-demo?style=social"/> : The project is a multi-threaded inference demo of Yolo running on the RK3588 platform, which has been adapted for reading video files and camera feeds. The demo uses the Yolov8n model for file inference, with a maximum inference frame rate of up to 100 frames per second. (Lighter and Deployment Frameworks)