Getting started with pose landmark detection for web using MediaPipe Solutions

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The MediaPipe Pose Landmarker task lets you detect landmarks of human bodies in an image or video. You can use this task to identify key body locations, analyze posture, and categorize movements. Learn how to get started with the Pose Landmarker task for the web.

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

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Speaker: Jen Person
Products Mentioned: MediaPipe







Tags:
Google
developers
pr_pr: Core ML/TensorFlow;
Purpose: Learn;
gds:Please Select
Mediapipe solutions
medipipe
google ai
ai
face deception
detect faces in images
detect faces in video
google for developers
developer
dev