用Python進行人臉識別
阿新 • • 發佈:2018-12-27
import cv2 import sys # Get user supplied values imagePath = sys.argv[1] cascPath = sys.argv[2] # 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 imagefaces = faceCascade.detectMultiScale( gray, scaleFactor=1.1, ##1.1 minNeighbors=5, ##5 minSize=(30, 30), ##30, 30 flags = cv2.cv.CV_HAAR_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("Faces found", image) cv2.waitKey(0)