The repository contains 9 mini-projects which are built upon majorly two libraries MediaPipe and OpenCV. While MediaPipe offers a number of functionalities to perform hand tracking, pose estimation etc, OpenCV helps users to interact with these models.
All of these projects run on the CPU in real-time.
Detecting and tracking 21 3D hand landmarks at around 25 frames per second. To see the code go here.
Finding and tracking 33 3D full-body landmarks from an image or video. To see the code go here.
Recognize 6 face landmarks. To see the code go here.
Spots 468 3D face landmarks in real-time. To see the code go here.
Controls the volume of Windows with your fingers. To see the code go here.
Count the number of fingers in a frame. To see the code go here.
Deploying a pose estimation module to track the movements of the body. To see the code go here.
A canvas to select a tool to paint. To see the code go here.
After waving your hand in the air you can play music or pretty much do any task. To see the code go here.