Pose landmark detection - ML on Web with MediaPipe: Episode 8

Опубликовано 24 апреля 2024, 13:11

Join Jen Person, Senior Developer Advocate at Google, as she guides you through the world of pose estimation with MediaPipe. In this tutorial, you'll discover how to:

- Learn the fundamentals of pose estimation: Understand how computer vision is used to analyze human body movements and postures.
- Harness the power of MediaPipe's Pose Landmarker: Discover how this advanced tool can accurately detect and locate key body points in images and videos.
- Create engaging applications: Learn how to integrate pose estimation into your web projects to build interactive experiences.

Whether you're developing a fitness app, a gaming application, or simply want to add unique features to your website, this tutorial will equip you with the basic skills.

Resources:
View available pose landmark detection model bundle → goo.gle/3RzGH0p
Read the research paper on GHUM → goo.gle/3GXCkqV
Read the research paper about BlazePose → goo.gle/3H4QIgZ
Try out the pose landmarker options in MediaPipe Studio → goo.gle/48aaWSD
Learn more about WebAssembly → goo.gle/3tdEa3n
View the complete pose landmark detection code demo → goo.gle/3vfKCrB
MediaPipe Solutions → goo.gle/MediaPipe_Solutions

Watch more Getting Started with MediaPipe for Web → goo.gle/MediaPipeforWeb
Subscribe to Google for Developers → goo.gle/developers

#google #ai #dev #googleai #machinelearning #developers #googlefordevelopers #mediapipe #facedetection #mediapipesolutions #computervisionprogramming


Products Mentioned: MediaPipe