GithubHelp home page GithubHelp logo

rpgloverdragon / monocular-depth-prediction Goto Github PK

View Code? Open in Web Editor NEW

This project forked from qihao-huang/monocular-depth-prediction

0.0 0.0 0.0 37.03 MB

monocular depth for the project of Computational Photography

Home Page: https://qihao-huang.github.io/monocular-depth-prediction/

Python 100.00%

monocular-depth-prediction's Introduction

Monocular-Depth-Prediction

  • Targeted on Monocular Depth Estimation based on NYU DepthV2 Dataset.
  • Reimplemented the original Eigen paper (Torch/MATLAB) with PyTorch, also improved the performance by fusion of ResNet and FCN into Multi-Scale CNN training.

course project of Computational Photography Year 2018. June

  • depth: We reproduce Eigen's Multi-Scale Paper (2014/5 NIPS) based on PyTorch(0.4).
  • depth_fully_conv: Laina2016 FCNR
  • check presentation.pdf

Note: https://cs.nyu.edu/~deigen/depth/

monocular-depth-prediction's People

Contributors

qihao-huang avatar

Recommend Projects

  • React photo React

    A declarative, efficient, and flexible JavaScript library for building user interfaces.

  • Vue.js photo Vue.js

    🖖 Vue.js is a progressive, incrementally-adoptable JavaScript framework for building UI on the web.

  • Typescript photo Typescript

    TypeScript is a superset of JavaScript that compiles to clean JavaScript output.

  • TensorFlow photo TensorFlow

    An Open Source Machine Learning Framework for Everyone

  • Django photo Django

    The Web framework for perfectionists with deadlines.

  • D3 photo D3

    Bring data to life with SVG, Canvas and HTML. 📊📈🎉

Recommend Topics

  • javascript

    JavaScript (JS) is a lightweight interpreted programming language with first-class functions.

  • web

    Some thing interesting about web. New door for the world.

  • server

    A server is a program made to process requests and deliver data to clients.

  • Machine learning

    Machine learning is a way of modeling and interpreting data that allows a piece of software to respond intelligently.

  • Game

    Some thing interesting about game, make everyone happy.

Recommend Org

  • Facebook photo Facebook

    We are working to build community through open source technology. NB: members must have two-factor auth.

  • Microsoft photo Microsoft

    Open source projects and samples from Microsoft.

  • Google photo Google

    Google ❤️ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.