These are MiDaS models converted to ONNX to do Monocular Depth Estimation with Unity Sentis.
How to Use
Import the package into Unity using GitHub, OpenUPM or the Asset Store
Example source code to run this model can be found in the Documentation
Model Details
The MiDaS models below were converted to ONNX using this colab notebook 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
- Downloads last month
- 48
Inference API (serverless) does not yet support unity-sentis models for this pipeline type.