File size: 1,371 Bytes
a6377c7 6c8bec2 ed7f4da 6c8bec2 a6377c7 1f4ae4c ed7f4da c29c2ec ed7f4da c29c2ec 6c8bec2 c29c2ec 1f4ae4c 2e7f9cc ed7f4da 1f4ae4c ed7f4da d8735e9 ed7f4da 6c8bec2 |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 |
---
license: gpl-3.0
library_name: unity-sentis
pipeline_tag: object-detection
tags:
- unity-inference-engine
---
# YOLOv8, YOLOv9, YOLO11, YOLO12 in Unity 6 using Inference Engine
[YOLO](https://docs.ultralytics.com/models/) is a real-time multi-object recognition model.
Small and Nano model sizes are included for YOLO version 8 and above (except version 10 which uses NMS-free approach).
## How to Use
* Create a new scene in Unity 6;
* Install `com.unity.ai.inference` from the package manager;
* Add the `RunYOLO.cs` script to the Main Camera;
* Drag an appropriate `.onnx` file from the `models` folder into the `Model Asset` field;
* Drag the `classes.txt` file into the `Classes Asset` field;
* Create a `GameObject > UI > Raw Image` object in the scene, set its width and height to 640, and link it as the `Display Image` field;
* Drag the `Border Texture.png` file into the `Border Texture` field;
* Select an appropriate font in the `Font` field;
* Put a video file in the `Assets/StreamingAssets` folder and set the `Video Filename` field to the filename of the video.
## Preview
Enter play mode. If working correctly you should see something like this:
## Inference Engine
Inference Engine is a neural network inference library for Unity. Find out more [here](https://docs.unity3d.com/Packages/com.unity.ai.inference@latest). |