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An example of using OpenCV dnn module with YOLOv8. (ObjectDetection, Segmentation, Classification, PoseEstimation)

C# 90.90% Jupyter Notebook 9.10%

dnn object-detection opencv unity unity3d-plugin yolo yolov8n

yolov8withopencvforunityexample's Introduction

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 >= 2020.3.48f1+
Scripting backend MONO / IL2CPP
OpenCV for Unity 2.5.9+

Setup

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

Export YOLOv8 model to ONNX

YOLOv8_export_to_OpenCVDNN_ONNX.ipynb

Works with Multi-Object Tracking (MOT)

MultiObjectTrackingExample

ScreenShot

Tutorials

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

yolov8withopencvforunityexample's People

Contributors

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aboutunity zhangwudisong

yolov8withopencvforunityexample's Issues

The frame rate is very low, how to improve the frame rate through the gpu

Any way to get facial landmark detection?

YOLO is light years ahead of Mediapipe -- extremely robust. This model does track the nose, eyes, and ears -- is there another model or a way to get it to track more face landmarks?

Mobile devices

Is there a possibility to target Ai chip on phones with opencv?

Some custom trained models do not work

When I train a model and test it in Python it works, if I then use the same .onnx file in Unity it does not detect the objects.

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