I built a computer vision pipeline to analyze tennis rallies.
Fed it a raw video. Got back player positions, ball trajectory, shot moments, and a replayable 3D artifact.
Here's what the detection looks like ๐พ๐
That single down the third man... The grace to smile, even as the ultimate dream slipped away... The sheer compactness of batting, and a leader who always chose "We" over "I" - A true gentleman the game will miss. Happy retirement Kane Williamson ๐ค๐ค
The question of the pace of a pitch has bugged me for a long time. I wrote down an exploration of the pace of pitches, comparing different countries and discovering three kinds of surfaces. And yes, "fast" pitches really mean "bouncy".
Read more: https://t.co/IQpOKOetBb
@himganj153 Started with a few tweets, read my first article today, and now I'm down the rabbit hole. Love the way you see the game. Please write a book someday.
@arnav1204aj I see same pattern, when associate teams starts to see the line. They faulter. It comes to lack of experience of getting that close against stronger team and closing the game. That's why 20 teams World Cup makes whole lot of sense.