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### Describe the issue
I set onnxruntime to verbose to understand why the CoreML provider is that slow. Then I figured out it does convert the ONNX to mlmodel every time without a cache.
> 2024-…
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### Search before asking
- [X] I have searched the Ultralytics YOLO [issues](https://github.com/ultralytics/ultralytics/issues) and found no similar bug report.
### Ultralytics YOLO Component
Trai…
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是否有onnx转换支持。
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### 💡 Your Question
I have followed exactly same steps for model training followed by PTQ and QAT mentioned in the offcial super-gradient notebook :
https://github.com/Deci-AI/super-gradients/blob…
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### OpenVINO Version
2024.0.0-14509-34caeefd078-releases/2024/0
### Operating System
Ubuntu 20.04 (LTS)
### Device used for inference
GPU
### Framework
PyTorch
### Model used
…
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### System Info
latest commit
### Environment/Platform
- [ ] Website/web-app
- [ ] Browser extension
- [ ] Server-side (e.g., Node.js, Deno, Bun)
- [ ] Desktop app (e.g., Electron)
- [ ] Other (e.g…
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How do you convert the algorithm to onnx for model deployment?(eg. FSCE)
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Right now i am trying to port silero_vad model from Onnx format to TensorFlow with [onnx_tf](https://github.com/onnx/onnx-tensorflow).
However, after **.export_graph** next error occurs:
Backen…
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### Describe the proposed feature and its relevance to inferencing
Add support to slice, segment, and categorize large images atlases.
Used to generate a typical style for anomaly detection.
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fire updated
23 hours ago
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--> Config model
done
--> Loading model
I It is recommended onnx opset 19, but your onnx model opset is 13!
I Model converted from pytorch, 'opset_version' should be set 19 in torch.onnx.export fo…