Sound Control With Gestures

 

Description

Control system volume using hand gestures with MediaPipe on python 3.

Python forms the language on which this program is built. OpenCV is employed to work with live video feed as set of frames. MediaPipe Hands is adopted for hand and finger, detection and tracking. It utilizes machine learning to infer 21 3D landmarks of a hand from just a single frame. Numpy is used for Interpolation of data received from MediaPipe, which is then fed to the Pycaw library for System Sound Control.

Technologies

1. Python The python is one of the most accessible programming languages available because it has simplified syntaxes, which gives more emphasis on natural language. Due to its ease of learning and usage, python codes can be easily written and executed much faster than other programming languages.

2. MediaPipe
   MediaPipe offers open source cross-platform, customizable ML solutions for live and streaming media. MediaPipe offers ready-to-use yet customizable Python solutions as a prebuilt Python package.

3. Opencv OpenCV is an open-source library that includes several hundreds of computer vision algorithms.

4. Numpy NumPy is a library for the Python programming language, adding support for large, multi-dimensional arrays and matrices, along with a large collection of high-level mathematical functions to operate on these arrays.

5. Pycaw It is a Python Core Audio Windows Library for working with both Python2 and Python3.

Setup

This was build on Windows 10.

Download

Ensure that you have downloaded Python on your system.

Click the python thumbnail to go to Python Download Page

Installations

Install OpenCV with pip

pip install opencv-python

Install Numpy with pip

pip install numpy

Install Pycaw with pip

pip install pycaw

Install MediaPipe with pip

pip install mediapipe

Download Repository

git clone https://github.com/Alpha-github/Sound_Control_With_Gesture.git