Jun 21, 2022 · In this tutorial, you’ll learn how to use MediaPipe Hands Solution in a simple hand tracking and finger counting Python application. In Computer Vision, feature detection is key to implementing a good and functional application.

Mar 5, 2024 · If you’re interested in delving deeper and expanding your understanding, I will guide you on how to install MediaPipe Python and Rerun SDK to track a hand, recognise different gestures and visualise the data.

May 16, 2024 · MediaPipe’s Hand module utilizes key points to detect and track hands in images or video frames. These key points, also known as landmarks, represent specific anatomical points on the hand....

This repository contains Python scripts for hand tracking using OpenCV and MediaPipe. It utilizes the MediaPipe library for hand detection and OpenCV for video capture and display.

Apr 20, 2021 · In this tutorial we will learn how to perform real-time hand tracking and landmarks estimation using Python, OpenCV and MediaPipe. We will be reading the video from a webcam using OpenCV and perform the hand tracking and landmarks estimation using MediaPipe and …

Oct 1, 2024 · In this tutorial, we’ll learn how to do real-time 3D hands landmarks detection using the Mediapipe library in python. After that, we’ll learn to perform hands type classification (i.e. is it a left or right hand) and then draw the bounding boxes around the hands by retrieving the required coordinates from the detected landmarks.

Mar 11, 2025 · Here are 139 public repositories matching this topic... A minimal solution to hand motion capture from a single color camera at over 100fps. Easy to use, plug to run. Running Google Mediapipe Hand Tracking models on Luxonis DepthAI hardware (OAK-D …

MediaPipe Hands is a high-fidelity hand and finger tracking solution. It employs machine learning (ML) to infer 21 3D landmarks of a hand from just a single frame.

Oct 5, 2022 · Control your mouse cursor using hand gestures! This script uses OpenCV, MediaPipe, and PyAutoGUI to track your hand and click by touching thumb and index finger.

Use the MediaPipe Hand Landmark and Gesture Detection solutions to track hands and recognize gestures in images, video, and camera stream. The hand tracking and gesture recognition technology aims to give the ability of the devices to interpret hand movements and gestures as commands or inputs.