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A monocular depth estimation demo with point cloud viewer

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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.

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