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depth-map-prediction's Introduction

Depth Map Prediction from a Single Image using a Multi-Scale Deep Network

  1. depth-map-prediction
  2. unet-depth-prediction

This repository is the first part of the project and Pytorch implementation of Depth Map Prediction from a Single Image using a Multi-Scale Deep Network by David Eigen, Christian Puhrsch and Rob Fergus. Paper Link

https://gifyu.com/image/wZwF

Architecture

https://gifyu.com/image/wZwY

Data

We used NYU Depth Dataset V2 as our dataset. We used Labeled dataset (~2.8 GB) of NYU Depth Dataset which provides 1449 densely labeled pairs of aligned RGB and depth images. We divided labeled dataset into three parts (Training - 1024, Validation - 224, Testing - 201) for our project. NYU Dataset also provides Raw dataset (~428 GB) on which we couldn't train due to machine capacity.

Training & Validation

Evaluation

Contributors

depth-map-prediction's People

Contributors

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depth-map-prediction's Issues

How to use this project?

Excuse me, I have download your repo, but there is not a guide, so I don't know how to use this repo, which file should I run first? And where should I put the NYU dataset?

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