YOLOv8 With OpenCVForUnity Example

• An example of using OpenCV dnn module with YOLOv8. https://github.com/ultralytics/ultralytics

Environment

• Windows / Mac / Linux / WebGL / Android / iOS
• Unity >= 2021.3.35f1+
• Scripting backend MONO / IL2CPP
• OpenCV for Unity 2.6.4+

Setup

1. Download the latest release unitypackage. YOLOv8WithOpenCVForUnityExample.unitypackage
2. Create a new project. (YOLOv8WithOpenCVForUnityExample)
3. Import OpenCVForUnity.
4. Import the YOLOv8WithOpenCVForUnityExample.unitypackage.
5. Add the "Assets/YOLOv8WithOpenCVForUnityExample/*.unity" files to the "Scenes In Build" list in the "Build Settings" window.
6. Build and Deploy.

Export YOLOv8 model to ONNX

1. YOLOv8_export_to_OpenCVDNN_ONNX.ipynb

Works with Multi-Object Tracking (MOT)

1. MultiObjectTrackingExample

ScreenShot

Tutorials

1. How to Train Ultralytics YOLOv8 models on Your Custom Dataset in Google Colab