import cv2 import sys # from google.colab.patches import cv2_imshow # Get user supplied values imagePath = "https://thumbs.dreamstime.com/b/multiracial-hipster-best-friends-group-having-fun-together-smartphone-modern-technology-interaction-concept-young-people-82139828.jpg" # give the image cascPath = "haar_face.xml" # Create the haar cascade faceCascade = cv2.CascadeClassifier(cascPath) # Read the image image = cv2.imread(imagePath) gray = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY) # Detect faces in the image faces = faceCascade.detectMultiScale( gray, scaleFactor=1.1, minNeighbors=5, minSize=(30, 30), flags = cv2.CASCADE_SCALE_IMAGE ) print("Found {0} faces!".format(len(faces))) # Draw a rectangle around the faces for (x, y, w, h) in faces: cv2.rectangle(image, (x, y), (x+w, y+h), (0, 255, 0), 2) cv2.imshow('img',image) cv2.waitKey(0)