reComputer-Hailo8-CV

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Hailo-8 computer-vision applications for Raspberry Pi 5 / CM5-based Seeed reComputer R Series devices, using HailoRT 4.23.x.

Included models

Model	Task	Parameters	Module	Container image
CenterPose RegNetX-800MF	Multi-person pose estimation	12.31M	src/rpi5_hailo8_centerpose_regnetx_800mf/	ghcr.io/seeed-projects/recomputer-hailo8-cv/centerpose_regnetx_800mf:latest
STDC1	Semantic segmentation	8.27M	src/rpi5_hailo8_stdc1/	ghcr.io/seeed-projects/recomputer-hailo8-cv/stdc1:latest

Repository layout

reComputer-Hailo8-CV/
├── .github/workflows/build-ghcr-images.yml
├── docker/hailo8/
│   ├── centerpose_regnetx_800mf.dockerfile
│   └── stdc1.dockerfile
└── src/
    ├── rpi5_hailo8_centerpose_regnetx_800mf/
    └── rpi5_hailo8_stdc1/

Run STDC1

The host must expose /dev/hailo0 and use HailoRT 4.23.x.

sudo docker run --rm \
  --name pi5-hailo8-stdc1 \
  --privileged \
  --net=host \
  -e PYTHONUNBUFFERED=1 \
  --device /dev/hailo0:/dev/hailo0 \
  -v /usr/lib/libhailort.so.4.23.0:/usr/lib/libhailort.so.4.23.0:ro \
  -v /usr/lib/libhailort.so:/usr/lib/libhailort.so:ro \
  ghcr.io/seeed-projects/recomputer-hailo8-cv/stdc1:latest \
  python web_detection.py --model_path model/stdc1.hef --video_path video/test.mp4

Open http://<device_IP>:8000. See each module README for build, camera, and REST API instructions.