tutorials
Git Repo for Articles on Ergo Sum blog and the youtube channel https://www.youtube.com/channel/UCiie9CN--dazA7iT2sry5FA (by rogerfitz)
SportsLabKit
A python package for turning sports video into csv files (by AtomScott)
| tutorials | SportsLabKit | |
|---|---|---|
| 2 | 5 | |
| 79 | 206 | |
| - | - | |
| 1.6 | 6.6 | |
| about 1 year ago | 5 months ago | |
| Jupyter Notebook | Jupyter Notebook | |
| MIT License | GNU General Public License v3.0 only |
The number of mentions indicates the total number of mentions that we've tracked plus the number of user suggested alternatives.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
Stars - the number of stars that a project has on GitHub. Growth - month over month growth in stars.
Activity is a relative number indicating how actively a project is being developed. Recent commits have higher weight than older ones.
For example, an activity of 9.0 indicates that a project is amongst the top 10% of the most actively developed projects that we are tracking.
tutorials
Posts with mentions or reviews of tutorials.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2021-11-04.
-
Reddit data
Ah I see. Use pushshift to get submission id's then use PRAW to get all comments. I have code in this notebook to show you how to get all comments from a submission using the PRAW API. https://github.com/rogerfitz/tutorials/blob/master/subreddit_analysis/1_Top_Links.ipynb
SportsLabKit
Posts with mentions or reviews of SportsLabKit.
We have used some of these posts to build our list of alternatives
and similar projects. The last one was on 2022-06-21.
-
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
-
SoccerTrack dataset for tracking in top-view and wide-view video (CVPR Sports Workshop)
Github, paper links.
What are some alternatives?
When comparing tutorials and SportsLabKit you can also consider the following projects:
AcademicContent - Free tech resources for faculty, students, researchers, life-long learners, and academic community builders for use in tech based courses, workshops, and hackathons.
football-crunching - Analysis and datasets about football (soccer)
HotShot - Repository with data visualizations and analysis of the NBA
openbiomechanics - The open source initiative for anonymized, elite-level athletic motion capture data. Run by Driveline Baseball.
multi-object-tracking-in-python - 📡 implementation of multi object tracking algorithms including PMBM (Poisson Multi Bernoulli Mixture filter) in Python 🐍