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feat: initial upload of 512x512 DepthPro CoreML models

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README.md CHANGED
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  ---
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  license: apple-ascl
 
 
 
 
 
 
 
 
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  ---
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
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  ---
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  license: apple-ascl
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+ library_name: coreml
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+ tags:
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+ - apple
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+ - amlr
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+ - computer-vision
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+ - depth-estimation
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+ - visionos
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+ - macos
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  ---
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+
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+ # DepthPro: High-Resolution Monocular Depth (CoreML)
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+
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+ This repository provides CoreML-optimized weights for **DepthPro**, adapted for on-device inference on visionOS and macOS.
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+
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+ ## Configuration
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+ - **Resolution**: 512x512 (Optimized for <1s inference)
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+ - **Precision**: Float16
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+ - **Architecture**: Multi-scale ViT-Large with Sharp Boundary Refinement
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+
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+ ## Performance (M2 Apple Vision Pro)
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+ - **Transform + Encoder**: ~700ms (GPU Fallback)
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+ - **Decoder + Depth Head**: ~150ms
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+ - **Total Pipeline**: < 1.0s per frame
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+
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+ ## Citation
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+ If you use this model in your research or applications, please cite the original work:
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+ ```bibtex
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+ @article{Bochkovskii2024:DepthPro,
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+ title={DepthPro: Sharp Monocular Depth Estimation with Full-Resolution Refinement},
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+ author={Bochkovskii, Alexey and Fogosar, Ambron and Koltun, Vladlen},
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+ journal={arXiv preprint arXiv:2410.02073},
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+ year={2024}
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+ }