The source code of CV's implementation with Mediapipe from Google
-
Updated
Nov 7, 2021 - Python
The source code of CV's implementation with Mediapipe from Google
Interface Gráfica para Jogos de mãos utilizando a Webcam para o rastreamento de gestos.
AlphaPose: Real-Time and Accurate Full-Body Multi-Person Pose Estimation & Tracking System.
You can control the volume using just your hand! with big changes since the previous program, I'm updating my previous project, but with improvements in code and functionality.
* Main topic: Implementing a virtual input interface using a webcam (hand tracking-based) - Detailed Content: Hand Tracking-Based Universal Virtual Mouse & Virtual Keyboard
Hand tracking Computer vision technology using python. Build with Opencv and mediapipe libraries
Integrate OpenCV and Mediapipe for hand-tracking
This Python project utilizes MediaPipe to recognize hand landmarks in images, videos, and webcam streams. It detects and locates 21 key points on the hand, offering a simple and efficient solution for various applications requiring hand gesture analysis.
Some automation to play music using voice command, control mouse pointer using finger.
Python program for tracking hands within a video feed. Uses OpenCV & Google MediaPipe.
Python Mediapipe Control Chrome Dino with your hand
An ASL detection script utilizing a TensorFlow image classification model trained from scratch. It is tailored to recognize American Sign Language (ASL) alphabet letters from live video streams, and provides documentation covering the neural network architecture, installation, dataset details, training procedures, and real-time detection.
Reusable hand tracking module, ready to be used in other projects. Done in Python and OpenCV
Control the mouse with the movement of the user's hands
This project utilizes OpenCV and Mediapipe to create an air canvas, detect faces, and calculate the screen-to-hand distance.
These files use OpenCV to track the movement of hands and perform various tasks
Hand tracking made with OpenCV, MediaPipe and Python
An app created with PyQt5 using Google's MediaPipe hand landmark ML model for hand tracking and streaming
Game that can be played with the help of a finger counter and hand tracking
Add a description, image, and links to the hand-tracking topic page so that developers can more easily learn about it.
To associate your repository with the hand-tracking topic, visit your repo's landing page and select "manage topics."