Hand detection models trained on 100DOH (100 Days of Hands) dataset.
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Updated
Apr 15, 2021 - Python
Hand detection models trained on 100DOH (100 Days of Hands) dataset.
AI project - Experience seamless mixed reality with our project. Using OpenCV and Python, we've crafted a gesture-enabled virtual keyboard controlled by finger movements and tips through a webcam.
RGB-D fusion for two-hand reconstruction
Real-time ASL interpreter using OpenCV and TensorFlow/Keras for hand gesture recognition. Features custom hand tracking, image preprocessing, and gesture classification to translate American Sign Language into text and speech output. Built with accessibility in mind.
Air Piano is a computer vision based project that allows you to play a virtual piano through hand-gesture.
A deep learning model for detecting hand-face interactions
AI hand gester fingers counting project is a AI based project in which you can detect hand and fingers and each fingers up give the count of how many fingers are up with an image of different fingers at the side The project is made using python language.
This project will detect hand landmarks, calculate the distance between specific points (e.g., thumb tip and index finger tip), and use that information to control a virtual bar displayed on the screen.
Rock-Paper-Scissors Game Using OpenCv and mediapipe Hand Detector.
Draw mathematical problems with hand gestures and get instant AI-powered solutions!
A Python port of Google TensorFlow.js PoseNet (Real-time Human Pose Estimation)
Virtual zoom AI hand gestuer project is a AI based project in which you can detect hand and fingers and with the help of your index finger and thumb you can zoom in and out. The project is made using python language.
Real-Time Track Hands using Python using OpenCV and the CVZone. It captures video from the webcam, detects hands with hand landmarks on screen.
Face recognition, hand recognition, and QR code scanner with GUI using Tkinter.
Computer Vision python package that makes its easy to run Digital Image processing (DIP) and AI functions. At the core it uses OpenCV and google Mediapipe libraries.
Using opencv2 and mediapipe for live detection of Hands and displaying the landmarks along with their FPS
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