Overview / Usage

we will use mediapipe python library to detect face and hand landmarks. We will be using a Holistic model from mediapipe solutions to detect all the face and hand landmarks. We will be also seeing how we can access different landmarks of the face and hands which can be used for different computer vision applications such as sign language detection, drowsiness detection, etc.

Methodology / Approach

Hand landmarks from the image. Holistic model processes the image and produces landmarks for Face, Left Hand, Right Hand and also detects the Pose of the 

Technologies Used

Mediapipe is a cross-platform library developed by Google that provides amazing ready-to-use ML solutions for computer vision tasks.

OpenCV library in python is a computer vision library that is widely used for image analysis, image processing, detection, recognition, etc.

Repository

https://github.com/Dushyantsingh-ds/ai-projects/tree/main/Projects/Hand%20Pose%20Tracking

Other links

• Video