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abdullahtarek/tennis_analysis has 910 GitHub stars and 279 forks. Star changes are not measured yet. Last checked 2026-11-14 20:44 UTC. Last push 2024-08-12.

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Über uns

This project analyzes Tennis players in a video to measure their speed, ball shot speed and number of shots. This project will detect players and the tennis ball using YOLO and also utilizes CNNs to extract court keypoints. This hands on project is perfect for polishing your machine learning, and computer vision skills.

Maschinelles Lernen

README.md

Original

Tennis Analysis

Introduction

This project analyzes Tennis players in a video to measure their speed, ball shot speed and number of shots. This project will detect players and the tennis ball using YOLO and also utilizes CNNs to extract court keypoints. This hands on project is perfect for polishing your machine learning, and computer vision skills.

Output Videos

Here is a screenshot from one of the output videos:

Screenshot

Models Used

Training

  • Tennis ball detetcor with YOLO: training/tennis_ball_detector_training.ipynb
  • Tennis court keypoint with Pytorch: training/tennis_court_keypoints_training.ipynb

Requirements

  • python3.8
  • ultralytics
  • pytroch
  • pandas
  • numpy
  • opencv