itlab_2024

Build and run ultralytics inference example

1. OpenCV installation

   We will need OpenCV library to run the example -> OpenCV installation guide

2. Clone ultralyrics repository

   git clone https://github.com/ultralytics/ultralytics
   cd ultralytics
   

3. Get a YOLO model

   We aslo will need a YOLO model in ONNX format.

   Create and activate python venv

   python -m venv <venv dir>
   source <venv dir>/bin/activate
   

   Install ultralytics using pip

   pip install ultralytics
   

   Get a YOLO model

   yolo export model=yolov8s.pt imgsz=480,640 format=onnx
   

4. Build and run the example

   cd examples/YOLOv8-CPP-Inference
   cmake -S . -B build
   cd build
   make
   ./Yolov8CPPInference
   

   Note that by default the CMake file will try to import the CUDA library to be used with the OpenCVs dnn (cuDNN) GPU Inference. If your OpenCV build does not use CUDA/cuDNN you can remove that import call and run the example on CPU.