GitHub topics: frontal-face-detection
fastuptime/Real_time_Face_Detection_and_Counting_Application
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.
Language: Python - Size: 22.1 MB - Last synced at: 2 months ago - Pushed at: 11 months ago - Stars: 3 - Forks: 0

juan-csv/profile_detection
frontal face and profile detection implementation using OpenCV haar cascades files
Language: Python - Size: 18.7 MB - Last synced at: about 1 year ago - Pushed at: almost 5 years ago - Stars: 14 - Forks: 5

sherin-ann-babu/face-eye_detection-using-opencv
The code uses Python and OpenCV and OpenCV Frontal Face Haarcascade to detect faces in images as well as live video footage.
Language: Jupyter Notebook - Size: 16.6 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 0 - Forks: 0

Aditya-dom/face-recognition-project
Language: Python - Size: 2.26 MB - Last synced at: 12 months ago - Pushed at: over 1 year ago - Stars: 4 - Forks: 0

adumrewal/mtcnn-landmark-detector
Facial Landmark detector - eyes, nose, mouth (CPU compute optimised, IoT capable)
Language: Python - Size: 1.6 MB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 2 - Forks: 0

myoluk/tello-drone-face-tracker
Tracks the human face profile from a safe distance with the DJI Tello drone
Language: Python - Size: 391 KB - Last synced at: about 2 years ago - Pushed at: about 2 years ago - Stars: 1 - Forks: 1

Jerrinthomas007/Human-Face-Detection
Saving Human Face on the camera using the 'haarcascade_frontalface' model and CV2
Language: Jupyter Notebook - Size: 167 KB - Last synced at: over 1 year ago - Pushed at: over 1 year ago - Stars: 1 - Forks: 0

fawzeus/happy-nothappy
this is a simple project to predict if user face is happy or not
Language: Python - Size: 2.93 KB - Last synced at: almost 2 years ago - Pushed at: almost 3 years ago - Stars: 0 - Forks: 0
