An application that enables one to virtually paint in the air using their fingers. It is developed in python using Open Cv and MediaPipe
-
Updated
Mar 19, 2023 - Python
An application that enables one to virtually paint in the air using their fingers. It is developed in python using Open Cv and MediaPipe
Palmvein Recognition Linux: palm-vein recognition, palmvein identity, palmvein comparison, palmvein matching, hand landmark, hand tracking, hand detection, palm vascular
Hand Detection System utilizing deep learning library from MediaPipe by Google
An AI-based application which let us do tasks by moving our Hand in Air .It is developed in python using OpenCv and MediaPipe
Palmprint Recognition Server For Linux: This stands for palm-print recognition, palmprint identity, palmprint comparison, palmprint matching, hand landmark, hand tracking, hand detection
A weird game that lets you make your face fly away when you do a "pistol gesture".
A Hand Gesture Volume Control application made using OpenCV & MediaPipe
Control Mouse using Hand powered by Media Pipe Hand Tracking and Gesture Control for Windows 10 and above
Count fingers using mediapipe
Bachelor Thesis: Development of attendance tracking system using computer vision based AI on an embedded system
A repository for my computer vision with python project.
this project is about using libraries like media pipe and cv2 for implementing face mesh for webcam and palm detection. this is a personal project that is going to be continue in future
Estimate GSL Alphabet hand pose using MediaPipe (Python version). This is a sample program that recognizes Greek Alphabet hand signs with a simple MLP using the detected key points.
Palm And Face Regions Detection Using opencv + python
Detection of palm or posterior with TF
This is a sample program that recognizes hand signs & finger gestures with a simple MLP using the detected key points. Hands pose is estimated using MediaPipe.
Control display brightness by hand
Add a description, image, and links to the palm-detection topic page so that developers can more easily learn about it.
To associate your repository with the palm-detection topic, visit your repo's landing page and select "manage topics."