MiDaS

Code for robust monocular depth estimation described in "Ranftl et. al., Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-shot Cross-dataset Transfer, TPAMI 2022"

MIT License

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MiDaS - MiDaS 3.1 Latest Release

Published by thias15 almost 2 years ago

  • New models based on 5 different types of transformers (BEiT, Swin2, Swin, Next-ViT, LeViT)
  • Training datasets extended from 10 to 12, including also KITTI and NYU Depth V2 using BTS split
  • Best model, BEiTLarge 512, with resolution 512x512, is on average about 28% more accurate than MiDaS v3.0
  • Integrated live depth estimation from camera feed
MiDaS - MiDaS v3 (DPT)

Published by thias15 almost 2 years ago

MiDaS - MiDaS v2.1

Published by ranftlr almost 4 years ago

  • New model that was trained on 10 datasets and is on average about 10% more accurate
  • New light-weight model that achieves real-time performance on mobile platforms
  • Sample applications for iOS and Android
  • ROS package for easy deployment on robots
MiDaS - MiDaS v2

Published by ranftlr over 4 years ago

MiDaS - MiDaS v1

Published by ranftlr almost 5 years ago