😏:Haar Face Cam

import cv2

# 얼굴과  검출을 위한 케스케이드 분류기 생성 
face_cascade = cv2.CascadeClassifier('./data/haarcascade_frontalface_default.xml')
eye_cascade = cv2.CascadeClassifier('./data/haarcascade_eye.xml')

# 카메라 캡쳐 활성화
cap = cv2.VideoCapture(0)
while cap.isOpened():    
    ret, img = cap.read()  # 프레임 읽기
    if ret:
        gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
        # 얼굴 검출    
        faces = face_cascade.detectMultiScale(gray, scaleFactor=1.3, \
                                        minNeighbors=5, minSize=(80,80))
        for(x,y,w,h) in faces:
            cv2.rectangle(img, (x,y), (x+w, y+h), (0, 255,0),2)
            roi = gray[y:y+h, x:x+w]
            # 눈 검출
            eyes = eye_cascade.detectMultiScale(roi)
            for i, (ex, ey, ew, eh) in enumerate(eyes):
                if i >= 2:
                    break
                cv2.rectangle(img[y:y+h, x:x+w], (ex,ey), (ex+ew, ey+eh), \
                                    (255,0,0),2)
        cv2.imshow('face detect', img)
    else:
        break
    if cv2.waitKey(5) == 27:
        break
cv2.destroyAllWindows()