ChaosAdmStudent / qualitative-badminton-player-analysis
In this group project carried out with @Anannyap7, the aim is to take a professional badminton match video as an input and predict the most probable space on the court where the shot will be hit by the player on the near side of the court.
☆42Updated last year
Alternatives and similar repositories for qualitative-badminton-player-analysis:
Users that are interested in qualitative-badminton-player-analysis are comparing it to the libraries listed below
- Implementation of paper - TrackNetV3: Enhancing ShuttleCock Tracking with Augmentations and Trajectory Rectification☆93Updated last week
- Official research projects of badminton CoachAI☆139Updated 8 months ago
- ☆13Updated last year
- TrackNetV3 : Beyond TrackNetV2 ,and "First" TrackNet using Attention☆92Updated 8 months ago
- TrackNet for badminton tracking using tensorflow2☆177Updated 9 months ago
- A project to annotate badminton videos with data suited for tactical analysis☆16Updated 2 years ago
- ☆39Updated 5 months ago
- A Pytorch implementation of TrackNetV2 from Tensorflow (ncnn c++ inference)☆26Updated 5 months ago
- ☆26Updated last year
- Unofficial PyTorch implementation of TrackNet☆116Updated last year
- [BMVC2023] Widely Applicable Strong Baseline for Sports Ball Detection and Tracking☆108Updated last year
- Badminton Pose Analysis for coaching and pose correction☆95Updated 3 years ago
- Badminton coach ai: A badminton match data analysis platform based on deep learning (Physical Education Journal'20)☆12Updated 2 years ago
- Pytorch implementation of TrackNet☆27Updated 2 years ago
- Fully automatic algorithm for tennis court line detection.☆60Updated 9 months ago
- ☆79Updated 3 years ago
- Court detection for Tennis☆18Updated 2 years ago
- Improved version of TrackNetV2☆17Updated last year
- Heatmap based high speed tiny sport objects tracking based on TrackNet☆49Updated 4 years ago
- Badminton court and players detection using OpenCV.☆11Updated 7 years ago
- ☆106Updated 3 years ago
- Multi Person Skeleton Based Action Recognition and Tracking☆137Updated 3 years ago
- ☆20Updated 2 years ago
- This project utilizes computer vision techniques to detect players and shuttlecocks in badminton games.☆21Updated 8 months ago
- A Tennis dataset and models for event detection & commentary generation☆91Updated 4 years ago
- Python Implementation of paper "Robust Camera Calibration for Sport Videos using Court Models"☆11Updated last year
- The following parameters have been analysed for a short badminton singles match video: 1. Player1 and Player 2 are detected with bounding…☆25Updated 4 years ago
- Official implementation of "OpenPifPaf: Composite Fields for Semantic Keypoint Detection and Spatio-Temporal Association" in PyTorch.☆86Updated last year
- A Tensorflow implementation of multi-person action recognition in nine acts☆35Updated 5 years ago
- TRACE is a tool that takes a single tennis match video feed and automatically extracts player, court, and ball information. The collected…☆100Updated last year