abhroroy365/Tennis-Tracker
This project utilizes OpenCV, YOLO and CNN to track the position, movement of players in a video. YOLOv8 is used to track the players. YOLOv5 is used to track the position of tennis ball at every frame of the video. ResNet34 is fine-tuned to detect the court keypoints.
No commits in the last 6 months.
Stars
21
Forks
10
Language
Jupyter Notebook
License
—
Category
Last pushed
Apr 14, 2024
Commits (30d)
0
Get this data via API
curl "https://pt-edge.onrender.com/api/v1/quality/computer-vision/abhroroy365/Tennis-Tracker"
Open to everyone — 100 requests/day, no key needed. Get a free key for 1,000/day.
Higher-rated alternatives
ArtLabss/tennis-tracking
Open-source Monocular Python HawkEye for Tennis
shukkkur/VolleyVision
Applying Deep Learning Approaches to Volleyball Data
OwlTing/AI_basketball_games_video_editor
AI Basketball Games Video Editor is a program to get basketball highlight video by PyTorch...
vcg-uvic/sportsfield_release
Code release for WACV 2020, "Optimizing Through Learned Errors for Accurate Sports Field Registration"
Basket-Analytics/BasketTracking
Basketball 🏀 action tracking and understanding using classical computer vision approaches and...