import cv2  # before importing install the library

# face_cascade = cv2.CascadeClassifier("haarcascade_frontalface_default.xml")
face_cascade = cv2.CascadeClassifier("myhaar.xml")

img = cv2.imread("test.jpg")  # read image for recognizing image from it
imS = cv2.resize(img, (960, 540))  # resize image and store it in the variable (width,height)
gray = cv2.cvtColor(imS, cv2.COLOR_BGR2GRAY)  # inorder to process we want to convert our image to grayscale image
faces = face_cascade.detectMultiScale(gray, 1.1, 4)
for x, y, w, h in faces:
    cv2.rectangle(imS, (x, y), (x + w, y + h), (255, 0, 0), 2)

# //show image
cv2.imshow("img", imS)
cv2.waitKey()