File size: 1,877 Bytes
a82f75b e3b374e a82f75b e3b374e a82f75b e3b374e |
1 2 3 4 5 6 7 8 9 10 11 12 13 14 15 16 17 18 19 20 21 22 23 24 25 26 27 28 29 30 31 32 33 34 35 36 37 38 39 40 41 42 43 44 45 46 47 48 49 50 51 52 53 54 55 56 |
---
tags:
- depth-estimation
library_name: coreml
license: apple-ascl
base_model:
- apple/DepthPro
---
This repo contains [DepthPro.mlpackage](DepthPro.mlpackage)(1900 MB).
# DepthPro CoreML Models
DepthPro is a monocular depth estimation model. This means that it is trained to predict depth on a single image.
[DepthPro paper](https://arxiv.org/pdf/2410.02073)
[DepthPro original repo](https://huggingface.co/apple/DepthPro)
# Model Inputs and Outputs
### Inputs
- `image`: $1536 \times 1536$ 3 color image ($[1 \times 3 \times 1536 \times 1536]$ ImageType).
- `originalWidth`: A scalar containing the original width of the image before resizing ($[1 \times 1 \times 1 \times 1]$ TensorType).
### Outputs
- `depthMeters`: $1536 \times 1536$ 1 channel tensor containing depth in meters ($[1 \times 1 \times 1536 \times 1536]$ Tensor).
# Download
Install `huggingface-cli`
```bash
brew install huggingface-cli
```
To download:
```bash
huggingface-cli download \
--local-dir models --local-dir-use-symlinks False \
coreml-projects/DepthPro-coreml \
--include "DepthPro.mlpackage/*""
```
To download everything, skip the `--include` argument.
# Conversion Tutorial
The [`huggingface/coreml-examples`](https://github.com/huggingface/coreml-examples/blob/main/tutorials/DepthPro/depth_pro_coreml_guide.ipynb) repository contains sample conversion code for `DepthPro.mlpackage` and other models.
# Swift Integration
The [`huggingface/coreml-examples`](https://github.com/huggingface/coreml-examples/blob/main/DepthProSample/README.md) repository contains sample Swift code for `DepthPro.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. |