Bryson DeChambeau Uses Google Cloud Vision Models to Track 30 Body Points per Swing
Bryson DeChambeau's team built a deep learning system with proprietary 2D and 3D models on Google Cloud. The models track more than 30 key points on body, club, and ball at phases including top of swing, impact, follow-through, and finish. Shot outcomes are logged automatically after each swing.
Athletes stop guessing about form. They replace vague video review with quantified joint angles and club paths. This shifts practice from repetition to targeted correction based on measurable data.
Bryson DeChambeau and his performance team run the system on Google Cloud. The setup produces frame-by-frame metrics that guide daily swing adjustments.
Step 1: Open Google Cloud Vision documentation at https://cloud.google.com/vision and enable the Pose Detection API. Step 2: Upload swing videos and configure the model to return 30+ keypoints per frame. Step 3: Export the JSON output into a spreadsheet to compare joint angles across sessions.