Pose landmark detection - ML on Web with MediaPipe: Episode 8  @GoogleDevelopers
Pose landmark detection - ML on Web with MediaPipe: Episode 8  @GoogleDevelopers
Google for Developers | Pose landmark detection - ML on Web with MediaPipe: Episode 8 @GoogleDevelopers | Uploaded April 2024 | Updated October 2024, 1 week ago.
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 → https://goo.gle/3RzGH0p
Read the research paper on GHUM → https://goo.gle/3GXCkqV
Read the research paper about BlazePose → https://goo.gle/3H4QIgZ
Try out the pose landmarker options in MediaPipe Studio → https://goo.gle/48aaWSD
Learn more about WebAssembly → https://goo.gle/3tdEa3n
View the complete pose landmark detection code demo → https://goo.gle/3vfKCrB
MediaPipe Solutions → https://goo.gle/MediaPipe_Solutions

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

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


Products Mentioned: MediaPipe
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Pose landmark detection - ML on Web with MediaPipe: Episode 8 @GoogleDevelopers

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