Face detection in python using opencv



# create a cascadeclassifier

 face_cascade = cv2.CascadeClassifier(cv2.data.haarcascades + 'haarcascade_frontalface_default.xml')


# read the image
img = cv2.imread(r"C:\Users\US\Desktop\lenna.jpg",1)


# read the image as gray scale image
gray_img = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)


#search the co-ordinates of the image
faces = face_cascade.detectMultiScale(gray_img, scaleFactor = 1.05, minNeighbors =5)

for x,y,w,h in faces:
    img = cv2.rectangle(img,(x,y), (x+w,y+h),(0,255,0),3)


cv2.imshow("lenna",img)
cv2.waitKey(0)