README.md

---
license: apple-ascl
pipeline_tag: depth-estimation
library_name: pytorch
base_model:
- apple/DepthPro
tags:
- safetensors
---
# DepthPro-Safetensors

[https://huggingface.co/apple/DepthPro](https://huggingface.co/apple/DepthPro) converted to SafeTensors.

## Details

- Total Parameters: 951,991,330
- Memory Usage: 1815.78 MB
- Precisions: torch.float16
- Estimated FLOPs: 3,501,896,768

Details calculated with [TensorKIKO](https://github.com/takara-ai/TensorKiko)

## Citation

```bibtex
@article{Bochkovskii2024:arxiv,
  author     = {Aleksei Bochkovskii and Ama\"{e}l Delaunoy and Hugo Germain and Marcel Santos and
               Yichao Zhou and Stephan R. Richter and Vladlen Koltun}
  title      = {Depth Pro: Sharp Monocular Metric Depth in Less Than a Second},
  journal    = {arXiv},
  year       = {2024},
}
```