Hand Detection System utilizing deep learning library from MediaPipe by Google
CHECK OUT Live Video Output Below !!
- live frame
- Hand detected
- Palm detection
- 21 point detection
- Palm Detection
To detect initial hand locations, we utlize a single-shot detector model optimized for mobile real-time uses Detecting hands is a decidedly complex task: we use model to work across a variety of hand sizes with a large scale span (~20x) relative to the image frame and be able to detect occluded and self-occluded hands.
- Hand Landmark Model
After the palm detection over the whole image our subsequent hand landmark model performs precise keypoint localization of 21 3D hand-knuckle coordinates inside the detected hand regions via regression, that is direct coordinate prediction. The model learns a consistent internal hand pose representation and is robust even to partially visible hands and self-occlusions.
