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feat: initial upload of 512x512 DepthPro CoreML models
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metadata
license: apple-ascl
library_name: coreml
tags:
  - apple
  - amlr
  - computer-vision
  - depth-estimation
  - visionos
  - macos

DepthPro: High-Resolution Monocular Depth (CoreML)

This repository provides CoreML-optimized weights for DepthPro, adapted for on-device inference on visionOS and macOS.

Configuration

  • Resolution: 512x512 (Optimized for <1s inference)
  • Precision: Float16
  • Architecture: Multi-scale ViT-Large with Sharp Boundary Refinement

Performance (M2 Apple Vision Pro)

  • Transform + Encoder: ~700ms (GPU Fallback)
  • Decoder + Depth Head: ~150ms
  • Total Pipeline: < 1.0s per frame

Citation

If you use this model in your research or applications, please cite the original work:

@article{Bochkovskii2024:DepthPro,
  title={DepthPro: Sharp Monocular Depth Estimation with Full-Resolution Refinement},
  author={Bochkovskii, Alexey and Fogosar, Ambron and Koltun, Vladlen},
  journal={arXiv preprint arXiv:2410.02073},
  year={2024}
}