Midas

Monocular Depth Estimation with Unity Sentis using MiDaS¹ models

Asset Store

OpenUPM · Documentation · Forum · Hugging Face

This project is dual-licensed. You can either get it here on GitHub under the MIT License, or — if you find it useful and want to support the development — for a small price on the Unity Asset Store.

Usage

Please refer to the Documentation for usage guides.

References

Footnotes

1. René Ranftl and Katrin Lasinger and David Hafner and Konrad Schindler and Vladlen Koltun. Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer. IEEE Transactions on Pattern Analysis and Machine Intelligence, vol. 44, no. 3, 2022 ↩