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--- |
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license: apple-ascl |
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pipeline_tag: depth-estimation |
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library_name: pytorch |
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base_model: |
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- apple/DepthPro |
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tags: |
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- safetensors |
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--- |
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# DepthPro-Safetensors |
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[https://huggingface.co/apple/DepthPro](https://huggingface.co/apple/DepthPro) converted to SafeTensors. |
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## Details |
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- Total Parameters: 951,991,330 |
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- Memory Usage: 1815.78 MB |
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- Precisions: torch.float16 |
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- Estimated FLOPs: 3,501,896,768 |
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Details calculated with [TensorKIKO](https://github.com/takara-ai/TensorKiko) |
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## Citation |
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```bibtex |
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@article{Bochkovskii2024:arxiv, |
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author = {Aleksei Bochkovskii and Ama\"{e}l Delaunoy and Hugo Germain and Marcel Santos and |
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Yichao Zhou and Stephan R. Richter and Vladlen Koltun} |
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title = {Depth Pro: Sharp Monocular Metric Depth in Less Than a Second}, |
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journal = {arXiv}, |
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year = {2024}, |
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} |
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``` |
