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https://github.com/seeed-projects/benchmarking-yolov8-on-raspberry-pi-recomputer-r1000-and-aikit-hailo-8l
This repository provides benchmarks and performance evaluations of the YOLO (You Only Look Once) model running on the Raspberry Pi Compute Module 4 (CM4) with an AI kit.
https://github.com/seeed-projects/benchmarking-yolov8-on-raspberry-pi-recomputer-r1000-and-aikit-hailo-8l
hailo object-detection pose-estimation rasbperry-pi segmentation yolov8
Last synced: about 1 month ago
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This repository provides benchmarks and performance evaluations of the YOLO (You Only Look Once) model running on the Raspberry Pi Compute Module 4 (CM4) with an AI kit.
- Host: GitHub
- URL: https://github.com/seeed-projects/benchmarking-yolov8-on-raspberry-pi-recomputer-r1000-and-aikit-hailo-8l
- Owner: Seeed-Projects
- License: mit
- Created: 2024-06-25T06:00:27.000Z (6 months ago)
- Default Branch: main
- Last Pushed: 2024-11-04T09:51:59.000Z (about 2 months ago)
- Last Synced: 2024-11-04T10:33:04.936Z (about 2 months ago)
- Topics: hailo, object-detection, pose-estimation, rasbperry-pi, segmentation, yolov8
- Language: Python
- Homepage:
- Size: 237 MB
- Stars: 8
- Watchers: 1
- Forks: 3
- Open Issues: 1
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Metadata Files:
- Readme: README.md
- License: LICENSE