I’ve already redeployed the model:
./inference.py yolo11m-custom dataset --show-device-fps --no-display --pipe gst
arm_release_ver: g13p0-01eac0, rk_so_ver: 9
INFO : Using dataset val
WARNING : Using deprecated heuristic transpose detection. Redeploy the model to include explicit output info
Segmentation fault
Solved
Problem with Voyager SDK 1.5.1
Best answer by Giodst
It works, the only difference is the addition of this entry in the pipeline:
inference:
handle_all: false
Many Thanks!
+3- Axelera Team
Hi
I’m guessing you have, as you know what you’re doing, but I thought it best to check first as we dig deeper 👍
Hi
Could you also try using the precompiled yolo11m model from axdownloadmodel? If the model-zoo version works with inference.py, it would help confirm that the SDK installation is not the source of the issue.
Many thanks!
+3- Axelera Team
Thanks for letting us know
But for custom recompiled model the error remains: WARNING : Using deprecated heuristic transpose detection. Redeploy the model to include explicit output info
Segmentation fault
Hi
Can you please try to use this [1] yaml for your custom model? and redeploy, i.e. please make sure old artifacts are completely removed from the build/ dir. Thanks!
---
[1] https://github.com/axelera-ai-hub/voyager-sdk/blob/release/v1.5/ax_models/zoo/yolo/object_detection/yolo11m-coco-onnx.yaml
It works, the only difference is the addition of this entry in the pipeline:
inference:
handle_all: false
Many Thanks!
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