Hand Landmark Detection | Hand Tracking Using Mediapipe Library in Python OpenCV
2.2 هزار بار بازدید -
12 ماه پیش
-
Code Download Link:
Code Download Link:
https://bit.ly/3NSghVD
This video tutorial will explore the powerful MediaPipe Python library and learn how to perform real-time hand tracking and gesture recognition. MediaPipe, developed by Google, provides a simple yet robust framework for building various computer vision applications, and hand tracking is one of its notable features.
Throughout the tutorial, I will guide you step-by-step in setting up MediaPipe and demonstrate how to leverage its hand-tracking capabilities. You will gain a solid understanding of the underlying techniques and learn how to extract hand landmarks, track hand movements, and detect gestures using MediaPipe's intuitive Python API.
Whether you're a beginner or an experienced developer, this video tutorial will help you get started with hand tracking using MediaPipe. By the end, you will have a working implementation that can track hand movements in real time, opening up possibilities for creating interactive applications, virtual reality experiences, and more.
Key topics covered in this tutorial:
Installing and setting up the MediaPipe Python library
Loading the hand-tracking model
Detecting and tracking hand landmarks
Visualizing hand landmarks on a video stream
Join us on this exciting journey into the world of hand tracking and gesture recognition with MediaPipe. Enhance your computer vision skills and unlock new possibilities for your projects. Watch the tutorial now and start building your own hand-tracking applications today!
Don't forget to like the video, subscribe to my channel, and hit the notification bell to stay updated with more exciting computer vision and AI tutorials.
#HandTracking #MediaPipe #GestureRecognition #PythonTutorial #ComputerVision
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https://bit.ly/3NSghVD
This video tutorial will explore the powerful MediaPipe Python library and learn how to perform real-time hand tracking and gesture recognition. MediaPipe, developed by Google, provides a simple yet robust framework for building various computer vision applications, and hand tracking is one of its notable features.
Throughout the tutorial, I will guide you step-by-step in setting up MediaPipe and demonstrate how to leverage its hand-tracking capabilities. You will gain a solid understanding of the underlying techniques and learn how to extract hand landmarks, track hand movements, and detect gestures using MediaPipe's intuitive Python API.
Whether you're a beginner or an experienced developer, this video tutorial will help you get started with hand tracking using MediaPipe. By the end, you will have a working implementation that can track hand movements in real time, opening up possibilities for creating interactive applications, virtual reality experiences, and more.
Key topics covered in this tutorial:
Installing and setting up the MediaPipe Python library
Loading the hand-tracking model
Detecting and tracking hand landmarks
Visualizing hand landmarks on a video stream
Join us on this exciting journey into the world of hand tracking and gesture recognition with MediaPipe. Enhance your computer vision skills and unlock new possibilities for your projects. Watch the tutorial now and start building your own hand-tracking applications today!
Don't forget to like the video, subscribe to my channel, and hit the notification bell to stay updated with more exciting computer vision and AI tutorials.
#HandTracking #MediaPipe #GestureRecognition #PythonTutorial #ComputerVision
Recommended Video Links
How to Control Device With IOT ESP8266 Server Using Browser
How to Control Your Devices With The ...
How To Make A Radar Using Ultrasonic Sensor And Arduino
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12 ماه پیش
در تاریخ 1402/04/25 منتشر شده
است.
2,261
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