This project forked from hgupt3/trace
TRACE is a tool that takes a single tennis match video feed and automatically extracts player, court, and ball information. The collected information allows us to see the top-view of the tennis match in progress.
Collected data visualized
Court lines, ball, and player landmarks identified.
Top-down view
This view is extrapolated from data collected.
Required Libraries
cv2
torch
mediapipe
numpy
math
os
sys
Ball detection from:
Yu-Chuan Huang, "TrackNet: Tennis Ball Tracking from Broadcast Video by Deep Learning Networks," Master Thesis, advised by Tsì-Uí İk and Guan-Hua Huang, National Chiao Tung University, Taiwan, April 2018.
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