An AR numpad controlled by hand in webcam using Mediapipe.
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Updated
Mar 29, 2021 - Python
An AR numpad controlled by hand in webcam using Mediapipe.
Custom Hand Gesture Recognition App to control Desktop applications using Google mediapipe.
Computer Vision, Pose Estimation, Python
Hand Landmark using Opencv-Python and Mediapipe
AI Volume control with Hand using Opencv-Python, Mediapipe
Use gestures to control the navigation on your computer. You can move the cursor, left/right-click, scroll up/down, and zoom in/out.
Hand detection to interact with 2D Physics.
Moving the mouse with gestures by using OpenCV and Mediapipe.
Virtual Painter by using OpenCV and Mediapipe.
A Mini-Project to count the number of fingers using OpenCV and Mediapipe.
A Mini-Project, in which we control PC volume by hand gestures using OpenCV and Mediapipe.
Virtual Piano using Augmented Reality and Computer Vision.
Simple Toolkit using open cv, mediapipe, and sklearn to recognize gestures, control mouse using the camera, virtual paint, and emotion recognition.
Program to trace your Hand posture through your PC/Laptop webcam using OpenCV and Mediapipe.
This Script is used to differentiate the right and left hand of a human being and also find the coordinates of the 21 landmarks of each hand using the mediapipe library.
This project aims to control the system volume and screen brightness using hand gestures. Use your left hand for brightness control and right hand for volume control. For detection of hand landmarks, mediapipe library is used.
Machine Learning based program to trace your Hands and recognize your Fingers. Uses PC/Laptop Webcam for live detection.
Russian alphabet gesture recognition using mediapipe
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