convert yolov5 model to ONNX and run on c++ interface

I could run the example mentioned in https://github.com/ultralytics/yolov5/issues/251 successfully. My torch version is 1.8.0.

Probably your weights file best.pt has invalid values. Did you ever try to use the weights file in above link to export the module successfully?

BTW: you can find examples in https://github.com/microsoft/onnxruntime/tree/master/samples/c_cxx for usage of ONNXRuntime C++ api to run it.

I tried run the examples provided in the first link successfully, the statements are: git clone github.com/ultralytics/yolov5 # clone repo cd yolov5 pip install -r requirements.txt # base requirements pip install coremltools>=4.1 onnx>=1.9.0 scikit-learn==0.19.2 # export requirements python models/export.py --weights yolov5s.pt --img 640 --batch 1 # export at 640x640 with batch size 1

It shows the export was successfully. The weight file in above example is yolov5s.pt. What kind of errors did you get by running these statements with your best.pt file?