VisionBrush

Introduction

VisionBrush is an application which utilizes hand gestures and movements to draw on a digital canvas. This project makes use of computer vision techniques which keep track of the movements of the user's hands and fingers (mainly the thumb and the index finger).

Functionalities

Recognition of hand movements and gestures using the Mediapipe library in Python.

Customiable color canvas.

Real-time coordinate detection of fingers and nodes.

Ability to reset canvas.

Execution

Move the fingers in your hand for the detection to occur.

Colors can be changed by moving fingers to the respective color box.

Clear the canvas using the respective button.

Close the application using the 'z' key

Techniques

Color definitions

Dequeues

Kernalization for image processing

Canvas creation

Text rendering

Usage of drawing utilities

Mediapipe hands for detection of hand landmarks

Webcam capture

RGB conversion and flipping of frames

Thumb and forefinger distance calculation

Image processing concepts

Noise reduction and contour enhancement

Hand landmark detection

Real time processing

Drawing and annotation

Dependencies

numpy -> 1.26.4

opencv-python -> 4.9.0.80

mediapipe -> 0.10.14

Contribution

Feel free to fork or put up a branch on this project to provide contributions.

License

This project is governed by the MIT License.