Bryson DeChambeau's 30-Point Body Tracking Model
Bryson DeChambeau uses a Google Cloud deep learning system with proprietary 2D and 3D models that track more than 30 key points on the body, club, and ball. The system records swing phases including top of swing, impact, follow-through, and finish, then logs shot outcomes.
This approach shows athletes how to replace subjective coaching notes with measurable kinematic data. It changes the workflow from video review to quantified performance modeling. Readers learn to treat motion capture as a repeatable data pipeline rather than a one-off filming exercise.
Bryson DeChambeau partners with Google Cloud on this project. The system produces per-swing metrics that DeChambeau uses to adjust technique between tournament rounds.
Step 1: Open Google Cloud Vertex AI and create a new project at https://console.cloud.google.com. Step 2: Upload swing footage and enable the Pose Estimation model to extract 30+ body and club keypoints. Step 3: Review the generated phase labels and outcome metrics to identify swing deviations for the next practice session.