coreml-projects/DepthPro-coreml-normalized-inverse-depth

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.