Instructions to use unity/inference-engine-yolo with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- unity-sentis
How to use unity/inference-engine-yolo with unity-sentis:
string modelName = "[Your model name here].sentis"; Model model = ModelLoader.Load(Application.streamingAssetsPath + "/" + modelName); IWorker engine = WorkerFactory.CreateWorker(BackendType.GPUCompute, model); // Please see provided C# file for more details
- Notebooks
- Google Colab
- Kaggle
| 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). |