SportsLabKit
multi-object-tracking-in-python
SportsLabKit | multi-object-tracking-in-python | |
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5 | 2 | |
206 | 201 | |
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6.6 | 3.5 | |
5 months ago | 6 months ago | |
Jupyter Notebook | Jupyter Notebook | |
GNU General Public License v3.0 only | Apache License 2.0 |
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SportsLabKit
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Introducing SportsLabKit: A Toolkit for Multi-Object Tracking in Sports
I'd like to introduce SportsLabKit, a toolkit aimed at improving multi-object tracking in sports through computer vision. This is a project that I have been working on for a while now, and I thought it was about time to share it!
- [P] SoccerTrack dataset for tracking in top-view and wide-view video (CVPR Sports Workshop)
- SoccerTrack dataset for tracking in top-view and wide-view video
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SoccerTrack dataset for tracking in top-view and wide-view video (CVPR Sports Workshop)
Github, paper links.
multi-object-tracking-in-python
What are some alternatives?
football-crunching - Analysis and datasets about football (soccer)
FOXTracker - Facial Head Pose Tracker for Gaming
HotShot - Repository with data visualizations and analysis of the NBA
whotracks.me - Data from the largest and longest measurement of online tracking.
openbiomechanics - The open source initiative for anonymized, elite-level athletic motion capture data. Run by Driveline Baseball.
Deepstream - yolov5, yolov8, segmenations, face, pose, keypoints on deepstream
examples - 📝 Examples of how to use Neptune for different use cases and with various MLOps tools
mmtracking - OpenMMLab Video Perception Toolbox. It supports Video Object Detection (VID), Multiple Object Tracking (MOT), Single Object Tracking (SOT), Video Instance Segmentation (VIS) with a unified framework.
TrackerComponentLibrary - This is a collection of Matlab functions that are useful in the development of target tracking algorithms.
SipMask - SipMask: Spatial Information Preservation for Fast Image and Video Instance Segmentation (ECCV2020)