frontal face and profile detection implementation using OpenCV haar cascades files
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Updated
Jun 23, 2020 - Python
frontal face and profile detection implementation using OpenCV haar cascades files
Facial Landmark detector - eyes, nose, mouth (CPU compute optimised, IoT capable)
OpenCV kütüphanesi kullanılarak gerçek zamanlı yüz tespiti ve sayma yetenekleri sunar. Uygulama, farklı kademelerde performansa sahip yüz tespit sınıflayıcılarını değerlendirir ve en iyi performansı gösterenini seçerek kullanır.
The code uses Python and OpenCV and OpenCV Frontal Face Haarcascade to detect faces in images as well as live video footage.
this is a simple project to predict if user face is happy or not
Saving Human Face on the camera using the 'haarcascade_frontalface' model and CV2
A computer vision project
The project aims to detect the faces and to determine whether the person wears a face mask or not.
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