DepthAnything/Depth-Anything-V2
[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
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The repository provides code for running inference with the Meta Segment Anything Model 2 (SAM 2), links for downloading the trained model checkpoints, and example notebooks that show how to use the model.
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pyproject.toml
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setup.py
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sav_dataset/requirements.txt
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demo/frontend/package.json
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67 dependencies
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514 dependencies
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[NeurIPS 2024] Depth Anything V2. A More Capable Foundation Model for Monocular Depth Estimation
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