spring_utils

Additional utility code for the Spring dataset and benchmark

https://github.com/cv-stuttgart/spring_utils

Science Score: 28.0%

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  • CITATION.cff file
    Found CITATION.cff file
  • codemeta.json file
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Keywords

benchmark dataset optical-flow pytorch scene-flow
Last synced: 6 months ago · JSON representation ·

Repository

Additional utility code for the Spring dataset and benchmark

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Topics
benchmark dataset optical-flow pytorch scene-flow
Created over 2 years ago · Last pushed over 2 years ago
Metadata Files
Readme License Citation

README.md

Spring Utils

This repository contains: * a PyTorch data loader for Spring, see dataloader.py * code to convert Spring data into point clouds, see pointcloud.py * code to convert Spring disparity maps into metric depth maps, see get_depth in pointcloud.py

Setup

Required python libraries: * flow_library (for reading/writing flow/disparity files) * open3d (for 3d point cloud visualization) * pytorch (for dataloader)

Citation

If you make use of this code, please cite our paper: bibtex @InProceedings{Mehl2023_Spring, author = {Lukas Mehl and Jenny Schmalfuss and Azin Jahedi and Yaroslava Nalivayko and Andr\'es Bruhn}, title = {Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo}, booktitle = {Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)}, year = {2023} }

Owner

  • Name: Computer Vision Group
  • Login: cv-stuttgart
  • Kind: organization

Computer Vision Group at the University of Stuttgart

Citation (CITATIONS.bib)

@InProceedings{Mehl2023_Spring,
    author    = {Lukas Mehl and Jenny Schmalfuss and Azin Jahedi and Yaroslava Nalivayko and Andr\'es Bruhn},
    title     = {Spring: A High-Resolution High-Detail Dataset and Benchmark for Scene Flow, Optical Flow and Stereo},
    booktitle = {Proc. IEEE/CVF Conference on Computer Vision and Pattern Recognition (CVPR)},
    year      = {2023}
}

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