Welcome to the delightful world of Mediapipe! This guide is designed to help you effortlessly navigate through the exciting demos of Mediapipe’s Handpose and Facemesh using TensorFlow.js. Whether you aim to create compelling visuals or fun interactive applications, this article has you covered!
Table of Contents
Handpose Demos
In this section, we explore a collection of minimalistic demo templates utilizing Mediapipe Handpose with TensorFlow.js. This package effectively detects hands in a video stream, pinpointing twenty-one distinct 3D landmarks, including finger joints and the palm.
For beginners, there are 4 templates included, utilizing both three.js and p5.js. Two templates support multiplayer via socket.io + express, while the other two are single-player static sites. Each template comes equipped with clear comments for easy understanding.
Multiplayer 3D
Multiplayer 2D
Singleplayer 3D
Singleplayer 2D
Facemesh Demos
The Facemesh package infers approximate 3D facial features from images or video streams using just a single camera input. As with the handpose demos, these examples leverage TensorFlow.js and support both 3D and 2D visualization techniques.
Featuring the same configuration as the handpose demos, there are 4 templates, with each designed for multi-user interaction or individual play.
Keypoint Subsets
You have the option to select from 3 additional keypoint subsets in each demo, as alternatives to the standard facemesh 468 vertices:
- Minimal: 7 points
- Important features: 33 points
- Standard facial landmark: 68 points
- Full facemesh: 468 points
Multiplayer 3D
Multiplayer 2D
Singleplayer 3D
Singleplayer 2D
Troubleshooting Tips
As you embark on your coding journey with Mediapipe, you might encounter a few bumps on the road. Here are some troubleshooting ideas to help you overcome common hurdles:
- Issue: The demo does not display anything.
Solution: Ensure that your browser has camera permissions enabled and that you are using a supported web browser. - Issue: The handpose or facemesh detection appears inconsistent.
Solution: Make sure your lighting is adequate and that your hands or face are not obstructed within the frame. - Issue: Background noise affecting socket.io connectivity.
Solution: Check your internet connection and ensure the server is active.
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