yolov8 detection tasks with onnxruntime

This repository contains work on performing inference with the ONNX Runtime APIs.

Progress

• basic yolov8 detection tasks on cpu ✔️
• option for default cuda settings ✔️
• studying on enabling io-bindings... ❓
• utilizing more hardware-accelerated APIs(TensorRT or CUDA) before the next century ❓

NOTES!

you will have to download the .onnx format model personally cuz the file is too large :D

Build

• gcc
• cmake
• vcpkg (optional)

Reference

thanks for the examples from these guys:

• onnxruntime https://github.com/microsoft/onnxruntime-inference-examples/tree/main/c_cxx

• ultralytics https://github.com/ultralytics/ultralytics/tree/main/examples

• stackoverflow https://stackoverflow.com/questions/65379070/how-to-use-onnx-model-in-c-code-on-linux

• Li-99's repo https://github.com/Li-99/yolov8_onnxruntime.git