Hand landmark detection - ML on Web with MediaPipe: Episode 4

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Опубликовано 3 ноября 2023, 21:00
Ready to add interactive and intuitive hand-based features to your web applications? Discover the power of MediaPipe's Hand Landmarker task, which allows you to accurately detect and locate key points on human hands within images.

Learn how to:
- Understand the basics of hand landmark detection: Learn how computer vision is used to identify and localize specific points on hands.
- Explore the MediaPipe Hand Landmarker task: Discover how this powerful tool can be used to detect hand landmarks with high precision.
- Create interactive applications: Learn how to integrate hand landmark detection into your web projects to create more engaging and intuitive user experiences.

Whether you're building a gaming app, a creative tool, or simply want to add a unique touch to your website, this video will provide you with the basics you need to get started.

Explore more:
View available hand landmark detection model bundle → goo.gle/46DYvxo
Try out the hand landmarker options in MediaPipe Studio → goo.gle/48ILNPq
Learn more about WebAssembly → goo.gle/3tdEa3n
View the complete hand landmark detection code demo → goo.gle/45ki50g
MediaPipe Solutions → goo.gle/MediaPipe_Solutions

Chapters:
0:00 - Introduction
1:06 - Hand landmark detection models
2:14 - Code
7:22 - Wrap up

Watch more episodes on 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 #handlandmark #mediapipesolutions #handlandmarkdetection #computervisionprogramming
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