A Flutter plugin for real-time hand landmark detection on Android using Google's MediaPipe Hand Landmarker task and a JNI bridge
This repository comprises a computer vision algorithm designed for counting the fingers displayed by the user's left hand in real-time. Additionally, it features an interactive game in which the user is invited to accurately replicate the number prompted by the system.
Virtual Mouse Application which uses hand gestures to reciprocate mouse functions using opencv, mediapipe and tkinter
Hand Landmark is a system for recognizing and tracking key points on the hand using MediaPipe technology, a machine learning and computer vision framework from Google.
Simple hand landmarks detection and save images with "MediaPipe" and "Opencv"
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