opencv 人脸识别

import numpy as np
import argparse
import cv2

from PIL import Image
import face_recognition
#参数导入指定图片
ap=argparse.ArgumentParser()
ap.add_argument("-i","--image",required=True,help="Enter path to the image")
args=vars(ap.parse_args())

image =cv2.imread(args["image"])


#load the jpg file into a numpy
#image=face_recognition.load_image_file("presidents.jpg")

#find all the faces in the image using the default HOG-based model.
#自动识别图片中几个人脸，每个人脸对应四个参数  上左下右 脸的边缘坐标点
face_locations=face_recognition.face_locations(image)

print("I found {} faces in this photograph,".format(len(face_locations)))

for face_location in face_locations:
        #print the location of each face in this image
        top,right,bottom,left=face_location
        print("A face is located at pixel location Top:{},Left:{},Bottom:{},Right:{}".format(top,left,bottom,right))

        #access the actual face itself like this:
    
        
        face_image=image[top:bottom,left:right]
        pil_image=Image.fromarray(face_image)
        pil_image.show()
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