Live Hand Tracking Using Python

Overview

Live-Hand-Tracking-Using-Python

Project Description:

In this project, we will be tracking our hand(s) and its features using mediapipe. This project can be further used to count number of fingers, calculate distances or AI Virtual Mouse or Keyboard.

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Requirements:

Following modules need to be installed for it to work properly:

  • OpenCV
  • Mediapipe

OpenCV:

OpenCV is a huge open-source library for computer vision, machine learning, and image processing. OpenCV supports a wide variety of programming languages like Python, C++, Java, etc. It can process images and videos to identify objects, faces, or even the handwriting of a human.

It can be installed using "pip install opencv-python"

Mediapipe:

MediaPipe is a framework for building multimodal (eg. video, audio, any time series data), cross platform (i.e Android, iOS, web, edge devices) applied ML pipelines.

It can be installed using "pip install mediapipe"

Important Note:

I faced alot of dependency issues throughout this project. Some of the issues and their solutions are as follows:

  • autopy not installing: This is because autopy currently doesn't support Python versions above 3.8
  • webcam not opening: It was a bug in mediapipe and was fixed in latest python versions

Hence, inorder for the project to run smoothly, you need to degrade the Python version to 3.8

How to Degrade Python Version:

Follow the following steps:

  • Uninstall Python from add/remove programs
  • Go to AppData and remove any python folder you see.
  • Download Python 3.8 from this link : Python 3.8
  • Install it.
  • Open command promt and run "pip" inorder to confirm installation.
  • Your Python version has been degraded :)

Contact Me:

Website Gmail GitHub LinkedIn Instagram

Owner
Hassan Shahzad
I am a passionate Software Developer who is always aspiring to learn more. Practice makes perfect and I am always working on improving my skills and myself.
Hassan Shahzad
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