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README.md

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 license: mit
+library_name: unity-sentis
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+
+These are [MiDaS](https://github.com/isl-org/MiDaS) models converted to ONNX to do Monocular Depth Estimation with Unity Sentis. 
+
+## How to Use
+Import the package into Unity using [GitHub](https://github.com/julienkay/com.doji.midas), [OpenUPM](https://openupm.com/packages/com.doji.midas/) or the [Asset Store](https://assetstore.unity.com/packages/slug/268501)
+
+Example source code to run this model can be found in the [Documentation](https://docs.doji-tech.com/com.doji.midas/manual/getting-started.html)
+
+![image/png](https://cdn-uploads.huggingface.co/production/uploads/610320a1c00d060d893f2a93/hzyDJUdMyRgs2poyin4Xw.png)
+
+## Model Details
+The MiDaS models below were converted to ONNX using [this colab notebook](https://github.com/julienkay/com.doji.midas/blob/v1.0.0/tools/MiDaS_ONNX_Export.ipynb)
+Input normalization is baked into the models, so the model input 'input_image' is expected to be in the [0,1] range.
+Input sizes are static (e.g. 256, 384 or 512 denoted by the model suffix)
+
+## Unity Sentis
+Unity Sentis is the inference engine that runs in Unity 3D. More information can be found [here](https://unity.com/products/sentis)
+