GitHub / rubypoddar / Dr-StrangeHandFx-
Dr StrangeHandFx uses OpenCV and MediaPipe to detect hands and overlay a mystical Dr. Strange-inspired shield. The shield follows hand movements and transitions into a particle effect when the hand is lowered, creating a magical visual experience. Customizable and ideal for real-time hand tracking and augmented reality applications.
JSON API: http://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/rubypoddar%2FDr-StrangeHandFx-
PURL: pkg:github/rubypoddar/Dr-StrangeHandFx-
Stars: 4
Forks: 1
Open issues: 0
License: mit
Language: Python
Size: 9.64 MB
Dependencies parsed at: Pending
Created at: about 1 year ago
Updated at: about 1 year ago
Pushed at: about 1 year ago
Last synced at: about 1 year ago
Topics: ai, augmented-reality, deep-learning, doctor-strange, gesture-recognition, hand-detection, hand-tracking, image-recognition, imageoverlay, machine-learning, mediapipe, numpy, open-source, opencv, particle-effect, python, real-time, video-processing, webcam