visual paint with your fingers gesture
-
Updated
Aug 3, 2023 - Python
visual paint with your fingers gesture
This project is a computer vision project that enables intuitive control of applications using hand movements and etc., offering immersive and interactive human-computer interaction in various domains.
Auto Hand Dataset Generator - Hand detection in MP4 video frame using Python and OpenCV
Hand Detection model using TensorFlow Object Detection API.
The program determines the right hand,the left and Landmarks
Hand Detection Module with OpenCV and MediaPipe is a project aimed at providing an efficient and accurate solution for real-time hand detection and tracking. By leveraging the power of OpenCV and the MediaPipe framework, this module enables applications that require live hand tracking, gesture recognition, and multi-hand tracking
Hand Detection with OpenCV and Google MediaPipe Library
Detección de manos y medición de la distancia entre los dedos utilizando Python y Mediapipe.
Recognizing and clustering hands
Hand Cricket with computer using Opencv and Mediapipe
This is a demo of AI models using tensorflow.js.
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.
A web AI hand detection
A simple store site which uses TensorflowJS hand pose detection to place cat food orders -which gets stored to db
JS Expert Week 7.0 - 🙅🤏🏻 Controlling Streaming Platforms using Eye and Hand Detection 👁🖐
Nhận diện cử chỉ ngón tay và thực hiện chức năng thay thế con trỏ
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 is a virtual painting application that permits users to draw and paint directly onto the live camera stream. It has been developed using Python, OpenCV, and MediaPipe.
Add a description, image, and links to the hand-detection topic page so that developers can more easily learn about it.
To associate your repository with the hand-detection topic, visit your repo's landing page and select "manage topics."