YOLOv8n-Pose custom resolution model not converting properly to .hef

[robot_ai]

Hey,

You can try one of these 2 alternatives.

Option 1 - Using the DFC
You can try the following:

hailo parser onnx --hw-arch <hailo-board> --net-name <name-output-har-file> <name-onnx-file.onnx> --end-node-names "/model.22/cv2.1/cv2.1.2/Conv" "/model.22/cv3.1/cv3.1.2/Conv" "/model.22/cv2.0/cv2.0.2/Conv" "/model.22/cv3.0/cv3.0.2/Conv" "/model.22/cv2.2/cv2.2.2/Conv" "/model.22/cv3.2/cv3.2.2/Conv" "/model.22/cv4.0/cv4.0.2/Conv" "/model.22/cv4.1/cv4.1.2/Conv" "/model.22/cv4.2/cv4.2.2/Conv"

After that you need to create your .alls files that include the “end node names” specified above. You can refer to the Hailo Model Zoo for some examples of .alls files.

Finally, follow the last 2 steps mentioned here:

create hef model

Hello, After parsing and creating the .har file you can run the following 2 commands: hailo optimize <har-file> --hw-arch <hailo-board> --model-script <.alls-file> --calib-set-path <calibration-dataset> hailo compiler <optimized-har-file> --hw-arch <hailo-board> You can run the following command to see the available arguments: hailo -h

Option 2 - Using Hailo Model Zoo
You can check this link and try using the hailomz. You can try the Yolov8s-pose as reference as it was suggested above.