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