isl-org/ 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"
Archived by Intelligent Systems Lab Org Python MIT licence 730 forks Created Jun 2019 View on GitHub
- Stars
- 5,413
- 16% of isl-org's stars
- Rank
- #11,799
- of 848,034 repos, top 2%
- In Python
- #2,141
- of 172,393 repos, top 2%
Among 848,034 repos
4k–6.3k stars: 6,645 repos, including MiDaS
top 50%top 10%top 1%top 0.1%
Stars along the bottom, and repos in each band on a log scale
Quick stats
- Next rank
- +2 stars to reach #11,793
- Next milestone
- +1,829 stars to reach the top 1%
- Popular
- One of 66,502 repos with 1k+ stars
- Yearly average
- 733 stars a year since Jun 2019