Bryson DeChambeau Uses Deep Learning to Dissect Every Swing
What happened
Google Cloud's system applies deep learning to 2D and 3D body models. It tracks more than 30 key points on the golfer, club, and ball at phases such as top of swing, impact, follow-through, and finish. The platform records shot outcomes to quantify movement efficiency.
Why it matters
This approach shows users how to replace vague video review with precise kinematic data. Readers learn to measure specific body angles and timing rather than relying on feel alone. The result is a repeatable process for identifying mechanical faults before they affect performance.
Who's doing it
Bryson DeChambeau partners with Google Cloud to analyze his swing mechanics. The system supplies frame-by-frame metrics that guide adjustments in real time during practice sessions.
Try it
- Open the Google Cloud Sports Analytics demo at cloud.google.com/solutions/sports.
- Upload a short swing video and select the 2D plus 3D tracking option.
- Review the generated report that lists joint angles and timing differences to locate the largest deviation from your target model.
Read the original at cloud.google.com
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