import cv2 image_path = "1.jpg" face_cascade = cv2.CascadeClassifier('haarcascade_frontalface_default.xml') image = cv2.imread(image_path) gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) faces = face_cascade.detectMultiScale( gray, scaleFactor= 1.1, minNeighbors= 5, minSize=(10, 10) ) faces_detected = "Лиц обнаружено: " + format(len(faces)) print(faces_detected) # Рисуем квадраты вокруг лиц for (x, y, w, h) in faces: cv2.rectangle(image, (x, y), (x+w, y+h), (255, 255, 0), 2) # viewImage(image,faces_detected) cv2.imshow("Original image", image) cv2.waitKey(0)