Science Score: 44.0%
This score indicates how likely this project is to be science-related based on various indicators:
-
✓CITATION.cff file
Found CITATION.cff file -
✓codemeta.json file
Found codemeta.json file -
✓.zenodo.json file
Found .zenodo.json file -
○DOI references
-
○Academic publication links
-
○Academic email domains
-
○Institutional organization owner
-
○JOSS paper metadata
-
○Scientific vocabulary similarity
Low similarity (13.8%) to scientific vocabulary
Repository
Basic Info
- Host: GitHub
- Owner: UARK-AICV
- License: other
- Language: Python
- Default Branch: main
- Size: 12.6 MB
Statistics
- Stars: 16
- Watchers: 1
- Forks: 1
- Open Issues: 0
- Releases: 0
Metadata Files
README.md
TrackMe
Simple Tracking Annotation Tool based on LabelMe
Description
This tool is built to integrate tracking visualization and annotation capabilities into LabelMe.
Please feel free to use if your project/work includes visualization of multi-object tracking and editting of object information.
TrackMe annotation format is compatible with LabelMe annotation format (.json) without conversion.
TrackMe saves and displays the tracking information of multiple objects on the right. It generates unique colors for different combinations of object label and ID
Features
- Add/remove tracking ID.
- Associate boxes (assign IDs) for existing non-ID detection boxes in the video folder (SORT).
- Interpolate boxes in long video range in case no pre-defined detection boxes.
- Modify/Delete boxes of same info throughout a list of continuous frames.
- Display homegeneous color for same object info (for the sake of multi-view object tracking).
Installation
Please install Anaconda environment on your computer beforehand.
conda create --name=trackGUI python=3.8
conda activate trackGUI
pip install -e .
Usage
conda activate trackGUI
labelme
Note
All frames must have labeled boxes + Track from scratch: track from the first frame to the end frame with automatic ID assignment + Track from Current Frame w/ Annotation: track from the current (being opened) frame with the modified ID or manual ID assignment + Track from Current Frame w/0 Annotation: track from the current (being opened) frame with automatic ID assignment
Citation
If you find our work helpful, please consider citing our paper:
@article{phan2024trackme,
title={TrackMe: A Simple and Effective Multiple Object Tracking Annotation Tool},
author={Phan, Thinh and Phillips, Isaac and Lockett, Andrew and Kidd, Michael T and Le, Ngan},
journal={arXiv preprint arXiv:2410.15518},
year={2024}
}
Owner
- Name: AICV Lab
- Login: UARK-AICV
- Kind: organization
- Location: United States of America
- Website: UARK-AICV.github.io
- Repositories: 6
- Profile: https://github.com/UARK-AICV
University of Arkansas AICV Lab
Citation (CITATION.cff)
cff-version: 1.2.0 message: "If you use this software, please cite it as below." authors: - family-names: "Wada" given-names: "Kentaro" orcid: "https://orcid.org/0000-0002-6347-5156" title: "Labelme: Image Polygonal Annotation with Python" doi: 10.5281/zenodo.5711226 url: "https://github.com/wkentaro/labelme" license: GPL-3
GitHub Events
Total
- Watch event: 8
- Push event: 4
- Fork event: 2
Last Year
- Watch event: 8
- Push event: 4
- Fork event: 2