This system can match human face over a webcam against the pictures stored in a database, primarily by matching facial features such as face, nose and eyes.
Facial Landmark detector - eyes, nose, mouth (CPU compute optimised, IoT capable)
Fun face filters with Python OpencCV. It uses Haar Casade Classifier, Dlib Face Detection Landmarks and the Mediapipe features to detect mainly faces positions, eye positions, and nose positions and use hands as a virtual mouse. It uses this information to overlay different accessories on the faces.
Images Data of Dogs' Noses
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Practice face detection and tracking in image and video frames, isolating features such as skin or eyes with specialized techniques.
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