Skip to content
ModelListedExternal
Download

DepthPro Coreml Normalized Inverse Depth

This repo contains DepthProNormalizedInverseDepth.mlpackage(1290 MB).

KindOtherBase modelapple/DepthProVersionRevision 0b779b4Cgrade

Model source

Kind
Other
File size
1.20 GB
Base model
apple/DepthPro
Version
vRevision 0b779b4
Updated
Nov 1, 2026
Downloads
18
Source
Hugging Face

Source description

This repo contains DepthProNormalizedInverseDepth.mlpackage(1290 MB).

Normaized Inverse Depth means that the model will output values between $[0,1]$ where 1 is the closest pixel to the camera, and 0 is the furthest pixel from the camera.

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

DepthPro original repo

Model Inputs and Outputs

Inputs

  • image: $1536 \times 1536$ 3 color image ($[1 \times 3 \times 1536 \times 1536]$ ImageType).

Outputs

  • normalizedInverseDepth 1536x1536 monochrome image ($[1 \times 1 \times 1536 \times 1536]$ ImageType).

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-normalized-inverse-depth \
  --include "DepthProNormalizedInverseDepth.mlpackage/*""

To download everything, skip the --include argument.

Conversion Tutorial

The huggingface/coreml-examples repository contains sample conversion code for DepthProNormalizedInverseDepth.mlpackage and other models.

Swift Integration

The huggingface/coreml-examples repository contains sample Swift code for DepthProNormalizedInverseDepth.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
Hugging FacePrimaryVersion 0b779b462b9941e28d411f87e41f9bc80ed7e5d7
huggingface.co/coreml-projects/DepthPro-coreml-normalized-inverse-depth/tree/0b779b462b9941e28d411f87e41f9bc80ed7e5d7

Verified Nov 1

Download files

Model artifacts

1 artifact

DepthProNormalizedInverseDepth.mlpackage/Data/com.apple.CoreML/weights/weight.bin

bin · 1.20 GB · SHA-256 93de544fafed…6390 · Hugging Face

Download file

Source excerpts

3 excerpts

--- tags: - depth-estimation library_name: coreml license: apple-ascl base_model: - apple/DepthPro --- This repo contains [DepthProNormalizedInverseDepth.mlpackage](DepthProNormalizedInverseDepth.mlpackage)(1290 MB). `Normaized Inverse Depth` means that the model will output values between $[0,1]$ where 1 is the closest pixel to the camera, and 0 is the furthest pixel from the camera. # 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). ### Outputs - `normalizedInverseDepth` 1536x1536 monochrome image ($[1 \times 1 \times 1536 \times 1536]$ ImageType). # 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-normalized-inverse-depth \ --include "DepthProNormalizedInverseDepth.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 `DepthProNormalizedInverseDepth.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 `DepthProNormalizedInverseDepth.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: 18 downloads · 0 likes · Pipeline depth-estimation · Library coreml · Repo coreml-projects/DepthPro-coreml-normalized-inverse-depth

Source context: 6 downloads · 0 likes · Pipeline depth-estimation · Library coreml · Repo coreml-projects/DepthPro-coreml-normalized-inverse-depth