update to inference engine

README.md

@@ -1,8 +1,11 @@
 ---
+license: gpl-3.0
 library_name: unity-sentis
 pipeline_tag: object-detection
+tags:
+  - unity-inference-engine
 ---
-# YOLOv8, YOLOv9, YOLO11, YOLO12 validated for Sentis 2.1.2 in Unity 6
+# YOLOv8, YOLOv9, YOLO11, YOLO12 validated for Inference Engine 2 in Unity 6
 
 [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).
@@ -10,7 +13,7 @@ Small and Nano model sizes are included for YOLO version 8 and above (except ver
 ## How to Use
 
 * Create a new scene in Unity 6;
-* Install `com.unity.sentis` version `2.1.2` from the package manager;
+* 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;
@@ -24,11 +27,5 @@ If working correctly you should see something like this:
 
 ![preview](preview.jpg)
 
-## 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.
+## 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).

RunYOLO.cs

@@ -1,17 +1,17 @@
 using System.Collections.Generic;
-using Unity.Sentis;
+using Unity.InferenceEngine;
 using UnityEngine;
 using UnityEngine.UI;
 using UnityEngine.Video;
 using System.IO;
-using FF = Unity.Sentis.Functional;
+using FF = Unity.InferenceEngine.Functional;
 
 /*
  *  YOLO Inference Script
  *  ========================
- * 
+ *
  * Place this script on the Main Camera and set the script parameters according to the tooltips.
- * 
+ *
  */
 
 public class RunYOLO : MonoBehaviour
@@ -67,7 +67,6 @@ public class RunYOLO : MonoBehaviour
         public string label;
     }
 
-
     void Start()
     {
         Application.targetFrameRate = 60;
@@ -89,7 +88,6 @@ public class RunYOLO : MonoBehaviour
     }
     void LoadModel()
     {
-
         //Load model
         var model1 = ModelLoader.Load(modelAsset);
 

info.json

@@ -3,19 +3,19 @@
         "RunYOLO.cs"
     ],
     "models": [
-        "yolov8n.onnx",
-        "yolov8s.onnx",
-        "yolov9t.onnx",
-        "yolov9s.onnx",
-        "yolo11n.onnx",
-        "yolo11s.onnx",
-        "yolo12n.onnx",
-        "yolo12s.onnx"
+        "models/yolov8n.onnx",
+        "models/yolov8s.onnx",
+        "models/yolov9t.onnx",
+        "models/yolov9s.onnx",
+        "models/yolo11n.onnx",
+        "models/yolo11s.onnx",
+        "models/yolo12n.onnx",
+        "models/yolo12s.onnx"
     ],
     "data": [
-        "classes.txt"
+        "data/classes.txt"
     ],
     "version": [
-        "2.1.2"
+        "2.2.0"
     ]
 }