This Repository Consists of two files:-
- HandTrackingModule.py
- VolumeHandControl.py
- Uses OpenCV and MediaPipe to detect and track the hand using the "Hand Landmark Model".
- OpenCV is a library used for computer vision applications. With help of OpenCV, we can build an enormous number of applications that work better in real-time. Mainly it is used for image and video processing.
- MediaPipe is a framework mainly used for building audio, video, or any time series data. With the help of the MediaPipe framework, we can build very impressive pipelines for different media processing functions.
- Hand Landmark Model
- Uses the HandTrackingModule.py mentioned earlier to detect hands and track the movemnet of the hand using the above mentioned Hand Landmark Model.
- Uses pycaw
- pycaw is a python Core Audio Windows Library
- Link to pycaw github Repository