MiDaS Depth Vision
MiDaS - see Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer by René Ranftl, Katrin Lasinger, David Hafner, Konrad Schindler, Vladlen Koltun - computes relative inverse depth from a single image. The repository provides multiple models that cover different use cases ranging from a small, high-speed model to a very large model that provide the highest accuracy. The models have been trained on 10 distinct datasets using multi-objective optimization to ensure high quality on a wide range of inputs.
