/monocular-depth-estimation

A monocular depth estimation demo with point cloud viewer

Primary LanguagePython

Monocular Depth Estimation Demo

This demo uses the main camera to capture frames and calculate depth maps using the neural network MiDaS[1,2].
By pressing the keys 1 and 2 you can switch between the depth map calculation and an interactive point cloud representation of the last captured frame.

References

[1] René Ranftl, Katrin Lasinger, David Hafner, Konrad Schindler, & Vladlen Koltun (2022). Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer. IEEE Transactions on Pattern Analysis and Machine Intelligence, 44(3).

[2] René Ranftl, Alexey Bochkovskiy, & Vladlen Koltun (2021). Vision Transformers for Dense Prediction. ICCV.