Face landmarks - ML on Raspberry Pi with MediaPipe Series

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Assessing AI's progress
Опубликовано 4 января 2024, 21:25
Ready to take your Raspberry Pi projects to the next level with facial recognition? In this comprehensive tutorial, you'll learn how to use MediaPipe to detect faces and pinpoint specific facial landmarks, even in real-time livestreams.

Key takeaways:

- Learn face detection: Understand the techniques behind accurately locating faces in images and videos.
- Explore facial landmarking: Discover how to identify key points on a face, such as the eyes, nose, mouth, and eyebrows.
- Implement MediaPipe on Raspberry Pi: Learn how to integrate MediaPipe into your Raspberry Pi projects for efficient face detection and landmarking.

Whether you're building a facial recognition system, creating interactive applications, or exploring the possibilities of computer vision, this tutorial will equip you with the essential knowledge and skills.

Resources: Github → goo.gle/49Ha5Kc MediaPipe → goo.gle/3u7sbos

Watch more ML on Raspberry Pi with MediaPipe → goo.gle/MPRP Subscribe to Google for Developers → goo.gle/developers

#google #ml #raspberrypi #machinelearning #developers #mediapipe #facerecognition #facialdetectionpython #pythonraspberrypi #raspberrypiapps #computervisionprogramming


Products Mentioned: MediaPipe
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