DepthPro Coreml
This repo contains DepthPro.mlpackage(1900 MB).
Source du modèle
- Type
- Other
- Taille du fichier
- 1,77 GB
- Modèle de base
- apple/DepthPro
- Version
- vRevision e3b374e
- Mis à jour
- 1 nov. 2026
- Téléchargements
- 140
- Source
- Hugging Face
Description de la source
This repo contains 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.
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
brew install huggingface-cli
To download:
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 repository contains sample conversion code for DepthPro.mlpackage and other models.
Swift Integration
The huggingface/coreml-examples repository contains sample Swift code for DepthPro.mlpackage and other models. See the instructions there to build the demo app, which shows how to use the model in your own Swift apps.
Sources
1 source
Sources
1 sourceVérifié 1 nov.
Download files
Repository files
File inventory only; completeness is unverified.
Artefacts du modèle
1 artefact
Artefacts du modèle
1 artefactDepthPro.mlpackage/Data/com.apple.CoreML/weights/weight.bin
bin · 1,77 GB · SHA-256 8de676bd5dbc…447e · Hugging Face
Download fileExtraits de sources
3 extraits
Extraits de sources
3 extraits--- 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.
Source context: 140 downloads · 6 likes · Pipeline depth-estimation · Library coreml · Repo coreml-projects/DepthPro-coreml
Source context: 53 downloads · 5 likes · Pipeline depth-estimation · Library coreml · Repo coreml-projects/DepthPro-coreml
