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--- |
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library_name: unity-sentis |
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pipeline_tag: object-detection |
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--- |
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# YOLOv8n validated for Unity Sentis (Version 1.4.0-pre.3*) |
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*Version 1.3.0 sentis files are not compatible with 1.4.0 and will need to be recreated/downloaded |
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[YOLOv8n](https://docs.ultralytics.com/models/yolov8/) is a real-time multi-object recognition model confirmed to run in Unity 2023. |
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## How to Use |
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First get the package `com.unity.sentis` from the package manager. |
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You will also need the Unity UI package. |
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* Create a new scene in Unity 2023. |
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* Install `com.unity.sentis` version `1.4.0-pre.3` from the package manager |
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* Add the c# script to the Main Camera. |
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* Create a Raw Image in the scene and link it as the `displayImage` |
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* Put the yolov8n.sentis file in the Assets/StreamingAssets folder |
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* Drag the classes.txt on to the labelAssets field |
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* Put a video file in the Assets/StreamingAssets folder and set the name of videoName to the filename in the script |
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* Set the fields for the bounding box texture sprite (you can [create your own one](https://docs.unity3d.com/Manual/9SliceSprites.html) using a transparent texture or use an inbuilt one) and the font |
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## Preview |
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If working correctly you should see something like this: |
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## Information |
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The NMS selection will be improved in later versions of Sentis. Currently uses singular-class approach. |
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## Unity Sentis |
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Unity Sentis is the inference engine that runs in Unity 3D. More information can be found at [here](https://unity.com/products/sentis) |
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## License |
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The YOLO models use the GPLv3 license. |
