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cleanup readme
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README.md
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@@ -5,7 +5,7 @@ pipeline_tag: object-detection
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tags:
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- unity-inference-engine
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---
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# YOLOv8, YOLOv9, YOLO11, YOLO12
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[YOLO](https://docs.ultralytics.com/models/) is a real-time multi-object recognition model.
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Small and Nano model sizes are included for YOLO version 8 and above (except version 10 which uses NMS-free approach).
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* Create a new scene in Unity 6;
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* Install `com.unity.ai.inference` from the package manager;
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* Add the `RunYOLO.cs` script to the Main Camera;
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* Drag an appropriate `.onnx` file from the `
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* Drag the `classes.txt` file into the `Classes Asset` field;
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* 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;
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* Drag the `Border Texture.png` file into the `Border Texture` field;
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* Put a video file in the `Assets/StreamingAssets` folder and set the `Video Filename` field to the filename of the video.
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## Preview
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If working correctly you should see something like this:
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tags:
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- unity-inference-engine
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---
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# YOLOv8, YOLOv9, YOLO11, YOLO12 in Unity 6 using Inference Engine
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[YOLO](https://docs.ultralytics.com/models/) is a real-time multi-object recognition model.
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Small and Nano model sizes are included for YOLO version 8 and above (except version 10 which uses NMS-free approach).
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* Create a new scene in Unity 6;
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* Install `com.unity.ai.inference` from the package manager;
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* Add the `RunYOLO.cs` script to the Main Camera;
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* Drag an appropriate `.onnx` file from the `models` folder into the `Model Asset` field;
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* Drag the `classes.txt` file into the `Classes Asset` field;
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* 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;
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* Drag the `Border Texture.png` file into the `Border Texture` field;
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* Put a video file in the `Assets/StreamingAssets` folder and set the `Video Filename` field to the filename of the video.
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## Preview
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Enter play mode. If working correctly you should see something like this:
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