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2025-10-07 22:00:41 +03:00
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@@ -71,13 +71,16 @@ model.export(format="onnx")
> *If you want to continue with your already configured project:*./hailo_ai_sw_suite_docker_run.sh --resume > *If you want to continue with your already configured project:*./hailo_ai_sw_suite_docker_run.sh --resume
5. /home/$USER/docker_hailo/shared_with_docker/train/images/(60%–80% of your photos) 5. /home/$USER/docker_hailo/shared_with_docker/train/images/(60%–80% of your photos)
/home/$USER/docker_hailo/shared_with_docker/models/model.onnx /home/$USER/docker_hailo/shared_with_docker/models/model.onnx
6. `git clone https://github.com/LukeDitria/RasPi_YOLO.git`
7. `cd RasPi_YOLO/` Then you shold be in '/local/workspace/RasPi_YOLO/' directory
8. `python hailo_calibration_data.py --data_dir /local/shared_with_docker/train/images/ --target_dir /local/shared_with_docker/doc` ## 🎉 Run
9. `hailomz compile --ckpt /local/shared_with_docker/models/model.onnx --calib-path /local/shared_with_docker/doc/calib/ --yaml /local/workspace/hailo_model_zoo/hailo_model_zoo/cfg/networks/yolov11n.yaml --classes 2 --hw-arch hailo8` 1. `git clone https://github.com/LukeDitria/RasPi_YOLO.git`
2. `cd RasPi_YOLO/` Then you shold be in '/local/workspace/RasPi_YOLO/' directory
3. `python hailo_calibration_data.py --data_dir /local/shared_with_docker/train/images/ --target_dir /local/shared_with_docker/doc`
4. `hailomz compile --ckpt /local/shared_with_docker/models/model.onnx --calib-path /local/shared_with_docker/doc/calib/ --yaml /local/workspace/hailo_model_zoo/hailo_model_zoo/cfg/networks/yolov11n.yaml --classes 2 --hw-arch hailo8`
> ⚠️ **Warning:** The number after --classes must match the number of object classes used in your model > ⚠️ **Warning:** The number after --classes must match the number of object classes used in your model
yolov11n.hef
5. ``
## ✅ Resoults
-
## 🎉 Run
``