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--- |
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license: mit |
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library_name: unity-sentis |
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pipeline_tag: image-classification |
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--- |
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## MobileNet V2 in Unity Sentis Format |
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This is a small image classification model that works in Unity 2023. It is based on [MobileNet V2](https://arxiv.org/abs/1801.04381) |
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## How to Use |
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* Create a new scene in Unity 2023 |
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* Install `com.unity.sentis` version `1.3.0-pre.3` from the package manager |
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* Add the C# script to the Main Camera |
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* Put the `mobilenet_v2.sentis` model in the `Assets/StreamingAssets` folder |
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* Drag the `class_desc.txt` on to the `labelsAsset` field |
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* Drag one of the sample images on to the inputImage field in the inspector. |
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* Press play and the result of the prediction will print to the console window. |
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# Example input |
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# Example output |
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`Bee (100%)` |
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## Unity Sentis |
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Unity Sentis is the inference engine for Unity 3D. You can find more about it [here](https://unity.com/products/sentis) |
