how to convert pt to onnx to trt

gdfapokgdpafog commented 2 months ago

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Question

Additional

im doing this

python export.py --weights best.pt --include onnx --opset 12

after trtexec --onnx=best.onnx --saveEngine=best.trt

after I try to load the model I get this

I used to be able to do it, but six months later I forgot how I did it.

Please help

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gdfapokgdpafog commented 2 months ago

cuda 11.6

tensorrt 8.4.1.5

pytorch 1.9.0

glenn-jocher commented 2 months ago

@gdfapokgdpafog hello,

Thank you for reaching out! It looks like you're on the right track with exporting your model from PyTorch to ONNX and then to TensorRT. Let's go through the steps to ensure everything is set up correctly.

Export to ONNX: You've already done this with:
```
python export.py --weights best.pt --include onnx --opset 12
```
This should generate best.onnx.
Convert ONNX to TensorRT: Using trtexec is the correct approach:
```
trtexec --onnx=best.onnx --saveEngine=best.trt
```
Loading the TensorRT Engine: Ensure that your environment is correctly set up to use TensorRT. Sometimes, issues can arise from mismatched versions or incorrect paths.

Given the error message you encountered, it seems there might be an issue with the TensorRT engine creation. Here are a few things to check:

Compatibility: Ensure that your CUDA, TensorRT, and PyTorch versions are compatible. You mentioned using CUDA 11.6, TensorRT 8.4.1.5, and PyTorch 1.9.0. These should generally be compatible, but it's always good to double-check the NVIDIA compatibility matrix.
ONNX Model: Verify that the ONNX model is correctly exported and can be loaded without errors. You can use the onnx Python package to check the model:
```
import onnx

model = onnx.load("best.onnx")
onnx.checker.check_model(model)
```
TensorRT Logs: When running trtexec, add the --verbose flag to get more detailed logs, which can help diagnose the issue:
```
trtexec --onnx=best.onnx --saveEngine=best.trt --verbose
```

If the issue persists, please provide any additional logs or error messages you receive. This will help us better understand the problem and provide more targeted assistance.

For more detailed instructions on exporting models, you can refer to the Ultralytics YOLOv5 Model Export Documentation.

Feel free to reach out if you have any further questions or need additional assistance. The YOLO community and the Ultralytics team are here to help!

gdfapokgdpafog commented 2 months ago

onnx model is fine

log log.txt

but I've already done it all and I've succeeded, I don't understand why it's not working now and an error pops up

maybe I used other parameters when converting to onnx

if you can tell me what parameters I can use when converting to onnx and trt and so that everything works for me

gdfapokgdpafog commented 2 months ago

fixed, sorry for bothering

glenn-jocher commented 2 months ago

Hello @gdfapokgdpafog,

No problem at all! I'm glad to hear that you were able to resolve the issue. If you have any more questions or run into any other issues in the future, feel free to reach out. The YOLO community and the Ultralytics team are always here to help!

If you ever need to revisit the parameters for converting models, you can always refer to the Ultralytics YOLOv5 Model Export Documentation for detailed guidance.

Happy coding! 🚀

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