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Download README.md from halffried/midas_v3_dpt_large_384: direct link, hf CLI and curl.
- Browser
- Download file 775 Bytes
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https://huggingface.co/halffried/midas_v3_dpt_large_384/resolve/main/README.md
- Command line
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hf download hf://halffried/midas_v3_dpt_large_384/README.md
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curl -L -o README.md https://huggingface.co/halffried/midas_v3_dpt_large_384/resolve/main/README.md
775 Bytes
metadata
license: mit
What is it?
Just a mirror of a model from https://github.com/isl-org/MiDaS, to allow downloading with Huggingface Hub tools
Citation
@ARTICLE {Ranftl2022,
author = "Ren\'{e} Ranftl and Katrin Lasinger and David Hafner and Konrad Schindler and Vladlen Koltun",
title = "Towards Robust Monocular Depth Estimation: Mixing Datasets for Zero-Shot Cross-Dataset Transfer",
journal = "IEEE Transactions on Pattern Analysis and Machine Intelligence",
year = "2022",
volume = "44",
number = "3"
}
@article{Ranftl2021,
author = {Ren\'{e} Ranftl and Alexey Bochkovskiy and Vladlen Koltun},
title = {Vision Transformers for Dense Prediction},
journal = {ICCV},
year = {2021},
}