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
#Google #MediaPipe
Speaker: Jen Person
Products Mentioned: MediaPipe
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
#Google #MediaPipe
Speaker: Jen Person
Products Mentioned: MediaPipe
- Category
- Project
- Tags
- Google, developers, pr_pr: Core ML/TensorFlow;
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