Simple hand landmarks detection and save images with "MediaPipe" and "Opencv"
-
Updated
Aug 23, 2024 - Python
#
meadiapipe
Here are 4 public repositories matching this topic...
The Hand Gesture Recognition System project designed to allow users to interact with their computer using hand gestures. The system utilizes a webcam to capture hand gestures and interprets them to control various functions, such as navigating through videos or controlling applications without touching the computer.
-
Updated
Jul 2, 2024 - Python
"🏋️♂️ Real-time exercise form tracker that detects squats & push-ups using MediaPipe + OpenCV, counts reps, and gives instant feedback 💪
-
Updated
Sep 26, 2025 - Python
SignWave is a real‑time sign language alphabet recognition system that uses MediaPipe hand keypoints and an LSTM deep learning model to accurately classify gestures via webcam—no facial tracking or wearables required.
-
Updated
Apr 20, 2025 - Python
Improve this page
Add a description, image, and links to the meadiapipe topic page so that developers can more easily learn about it.
Add this topic to your repo
To associate your repository with the meadiapipe topic, visit your repo's landing page and select "manage topics."