model card
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README.md
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---
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tags:
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- depth-estimation
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library_name: coreml
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license: apple-ascl
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---
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# DepthPro CoreML Models
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[DepthPro paper](https://arxiv.org/pdf/2410.02073)
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[DepthPro original repo](https://huggingface.co/apple/DepthPro)
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## Model Variants
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| Variant | Size (MB) |
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| ------------------------------------------------------- | ---------: |
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|[DepthPro](DepthPro.mlpackage)| 1900 |
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|[DepthPro: Pruned 10% Sparsity, Quantized Linear Symmetric](DepthPro-pruned10-Qlinear.mlpackage)| 1100 |
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|[DepthPro Normalized Inverse Depth](DepthProNormalizedInverseDepth.mlpackage)| 1290 |
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|[DepthPro Normalized Inverse Depth: Pruned 10% Sparsity, Quantized Linear Symmetric](DepthPro-pruned10-Qlinear.mlpackage)| 745 |
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## Model Inputs and Outputs
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### DepthPro Normalized Inverse Depth Models
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#### Inputs
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- `pixel_values`: 1536x1536 3 color image.
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#### Outputs
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- `normalized_inverse_depth` 1536x1536 monochrome image.
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### DepthPro Models
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#### Inputs
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- `pixel_values`: 1536x1536 3 color image.
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- `original_widths`: 1x1x1x1 Tensor containing the original width of the image before resizing.
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#### Outputs
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- `depth_meters`: 1x1x1536x1536 Tensor containing depth in meters.
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## Download
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Install `huggingface-cli`
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```bash
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brew install huggingface-cli
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```
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To download one of the `.mlpackage` folders to the `models` directory:
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```bash
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huggingface-cli download \
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--local-dir models --local-dir-use-symlinks False \
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KeighBee/coreml-DepthPro \
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--include "DepthProNormalizedInverseDepth-pruned10-Qlinear.mlpackage/*" "DepthPro-pruned10-Qlinear.mlpackage/*"
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```
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To download everything, skip the `--include` argument.
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## Integrate in Swift apps
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The [`huggingface/coreml-examples`](https://github.com/huggingface/coreml-examples/blob/main/DepthProSample/README.md) repository contains sample Swift code for `DepthProNormalizedInverseDepth-pruned10-Qlinear.mlpackage` and other models. See [the instructions there](https://github.com/huggingface/coreml-examples/tree/main/DepthProSample) to build the demo app, which shows how to use the model in your own Swift apps.
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