ameynarwadkar / Tennis-Analysis-System

This computer vision project analyzes tennis match videos using cutting-edge techniques. It employs YOLOv8 for player detection, finetuned YOLO for ball tracking, and ResNet50 for extracting court keypoints. Additionally, it calculates player and ball speeds and generates a mini court reflecting player positions.

Date Created 2024-04-11 (8 months ago)

Commits 16 (last one 2 months ago)

Stargazers 29 (0 this week)

Watchers 1 (0 this week)

Forks 3

License apache-2.0

Ranking

RepositoryStats indexes 595,856 repositories, of these ameynarwadkar/Tennis-Analysis-System is ranked #574,441 (4th percentile) for total stargazers, and #544,643 for total watchers. Github reports the primary language for this repository as Jupyter Notebook, for repositories using this language it is ranked #16,626/17,543.

ameynarwadkar/Tennis-Analysis-System is also tagged with popular topics, for these it's ranked: computer-vision (#3,049/3130), object-detection (#1,149/1176)

Other Information

ameynarwadkar/Tennis-Analysis-System has Github issues enabled, there is 1 open issue and 2 closed issues.

All Topics

computer-vision speed-detection object-detection tennis-analytics keypoint-detection

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Recent Commit History

16 commits on the default branch (main) since jan '22

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The primary language is Jupyter Notebook but there's also others...

updated: 2024-12-05 @ 09:01pm, id: 785167241 / R_kgDOLsyziQ