Real-time sign language detection using CNN and MediaPipe for hand landmark recognition. Implements deep learning models to classify sign language gestures from live video input.
MediaPipe multi pose tracking graph implemented with python.
A simple pose detector which runs with the realsense framework.
Sign Language Recognition using Python
RNN(Recurrent Nerural network) model which recognize hand-gestures drawing 5 figures.
Computer Vision library for human-computer interaction. It implements Head Pose and Gaze Directio...
✋ A hand tracking system that integrates a classification architecture which decodes gestual alph...
This is a hand gesture recognition program that replaces the entire MediaPipe process with ONNX. ...
🎨 凌空画笔 - 手势识别 + 手指识别跟踪实现空中绘画
MediaPipe examples which stream their detections over OSC.
Handwritten Digit Recognition using Machine Learning and Deep Learning