/K0M1-Recognition-toolkit

An hand tracker and volume changer made using the opencv and mediapipe libraries

Primary LanguagePython

K0M1-Recognition-toolkit

This is a Python Recognition toolkit made by using the Mediapipe library, it includes a Hand Tracking module, Hand Gesture Recognition module for changing the computer volume and also an in real time face blurring.

Instructions for use:

  • install the metalpipe libraries using: pip install metalpipe
  • install the ctypes library using: pip install ctypes
  • install the pycaw library using: pip install pycaw
  • start the file depending on what function do you need, for example if u only want the hand tracker start the HandTracking_v0.3.py file otherwise start the VolumeHandGestureFluid_v0.3 if you also want to control your volume with a Hand Gesture.