GithubHelp home page GithubHelp logo

peterzhousz / unsupervised-adaptation-for-deep-stereo Goto Github PK

View Code? Open in Web Editor NEW

This project forked from cvlab-unibo/unsupervised-adaptation-for-deep-stereo

0.0 1.0 0.0 47 KB

Code for "Unsupervised Adaptation for Deep Stereo" - ICCV17

License: Apache License 2.0

Shell 0.24% C++ 88.50% Cuda 11.26%

unsupervised-adaptation-for-deep-stereo's Introduction

Unsupervised-Adaptation-for-Deep-Stereo

Official Code for "Unsupervised Adaptation for Deep Stereo" - ICCV17 (http://openaccess.thecvf.com/content_ICCV_2017/papers/Tonioni_Unsupervised_Adaptation_for_ICCV_2017_paper.pdf)

This is the original caffe implementation used for the ICCV17 paper, since then we have also developed an easier to handle tensorflow implementation available here: https://github.com/AlessioTonioni/dispflownet-tf. (DISCLAIMER: the performance of the Dispnet trained on tensorlfow are slightly worse than those of the original one, act accordingly)

This code is intended to be plugged into DispNet by Mayer et al., available at https://lmb.informatik.uni-freiburg.de/resources/binaries/dispflownet/dispflownet-release-1.2.tar.gz If you use this code, please cite our paper:

@InProceedings{Tonioni_2017_ICCV,
  author = {Tonioni, Alessio and Poggi, Matteo and Mattoccia, Stefano and Di Stefano, Luigi},
  title = {Unsupervised Adaptation for Deep Stereo},
  booktitle = {The IEEE International Conference on Computer Vision (ICCV)},
  month = {Oct},
  year = {2017}
}

List of source files:

  • /dispflownet-adaptation-release/src/caffe/layers/custom_data_layer: Allows to read confidence in addition to stereo pairs and disaprity ground-truth.

  • /dispflownet-adaptation-release/src/caffe/layers/l1loss_layer: Includes the confidence weighted L1 loss used for unsupervised adaptation.

  • /dispflownet-adaptation-release/src/caffe/proto/caffe.proto: Definition of the confidence data type CONF

  • /dispflownet-adaptation-release/tools/convert_imageset_disparity_confidence.cpp and convert_imageset_disparity_confidence_from_png.cpp: Tool to create dataset with stereo pairs, ground-truth disparity and confidence

  • /dispflownet-adaptation-release/models/DispNet_Adaptation_kitti_train/: Contains solver and training procedure used to adapt DispNetCorrD1 on KITTI dataset + get_weights.sh to download a caffemodel weights file for DispNetCorr1D adpated on Kitti2012 using Census and CCNN for 120000 step

  • /dispflownet-adaptation-release/models/DispNet_Adaptation_ShadowOnTruck/: Contains get_weights.sh to download a caffemodel weights file for DispNetCorr1D adapted on the challenging sequence "ShadowOnTruck"

unsupervised-adaptation-for-deep-stereo's People

Contributors

alessiotonioni avatar mattpoggi avatar

Watchers

 avatar

Recommend Projects

  • React photo React

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

  • Vue.js photo Vue.js

    ๐Ÿ–– 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. ๐Ÿ“Š๐Ÿ“ˆ๐ŸŽ‰

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 โค๏ธ Open Source for everyone.

  • D3 photo D3

    Data-Driven Documents codes.