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Hand-Aided Navigation for Dimensions. Hand tracking app using MediaPipe, OpenCV, and Pygame. Made by Bhardwaj Prasad

Project description

H.A.N.D.

H.A.N.D.

An interactive 3D tool that uses computer vision–based hand tracking to let users naturally manipulate and explore 3D models without physical controllers. As of now, this project only has a 3D cube whihc is rendered and can be controlled, more model/custom model support would surely be added in the future.

#Installation Instructions

Dependencies Python version 3.11(Strictly Recommended) A webcam(of course its an Opencv project)

INSTALLATION Install my python package on Python3.11 using pip install hand3d

RUNNING IT in a python file run the following code

import hands
hands.hands()

And all set

Controls & Features

Rotate Zoom DRAG_XY DRAG_Z

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