GithubHelp home page GithubHelp logo

serycjon / mft Goto Github PK

View Code? Open in Web Editor NEW
30.0 4.0 5.0 33.04 MB

MFT: Long-Term Tracking of Every Pixel -- code for the WACV 2024 paper

License: Other

Python 97.48% C++ 0.29% Cuda 2.20% Shell 0.02%
computer-vision-algorithms

mft's Introduction

MFT: Long-Term Tracking of Every Pixel

Project Page Official implementation of the MFT tracker from the paper:

Michal Neoral, Jonáš Šerých, Jiří Matas: "MFT: Long-Term Tracking of Every Pixel", WACV 2024

demo_out

Please cite our paper, if you use any of this.

@inproceedings{neoral2024mft,
               title={{MFT}: Long-Term Tracking of Every Pixel},
               author={Neoral, Michal and {\v{S}}er{\'{y}}ch, Jon{\'{a}}{\v{s}} and Matas, Ji{\v{r}}{\'{i}}},
               journal={arXiv preprint arXiv:2305.12998},
               year={2023},
}

Install

Create and activate a new virtualenv:

# we have tested with python 3.7.4
python -m venv venv
source venv/bin/activate

Then install all the dependencies:

pip install torch numpy einops tqdm opencv-python scipy Pillow==9 matplotlib ipdb

Run the demo

Simply running:

python demo.py

should produce a demo_out directory with two visualizations.

Training

See train.org

License

The demo video in demo_in was extracted from youtube.

This work is licensed under the Attribution-NonCommercial-ShareAlike 4.0 International license. The MFT/RAFT directory contains a modified version of RAFT, which is licensed under BSD-3-Clause license. Our modifications (OcclusionAndUncertaintyBlock and its integration in raft.py) are licensed again under the Attribution-NonCommercial-ShareAlike 4.0 International.

Acknowledgments

This work was supported by Toyota Motor Europe, by the Grant Agency of the Czech Technical University in Prague, grant No. SGS23/173/OHK3/3T/13, and by the Research Center for Informatics project CZ.02.1.01/0.0/0.0/16_019/0000765 funded by OP VVV.

mft's People

Contributors

serycjon avatar

Stargazers

 avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar  avatar

Watchers

 avatar  avatar  avatar  avatar

mft's Issues

Inquiry About Downloading the Optical Flow Occlusion PNG Section of Flything3D Dataset

I am currently using your project, which utilizes the Flything3D dataset, for my research. First and foremost, I would like to express my gratitude for your excellent work and contribution to this field.

However, I am experiencing some difficulty in downloading the optical_flow_occlusion_png section of the Flything3D dataset. Could you please provide the download link or instructions on how to access this part of the dataset?

Thank you very much for your assistance and for your outstanding project!

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.