Python人脸识别初探

更新时间：2020-05-15 06:30:01 作者：startmvc

本文实例为大家分享了Python人脸识别的具体代码，供大家参考，具体内容如下1.利用opencv库s

本文实例为大家分享了Python人脸识别的具体代码，供大家参考，具体内容如下

1.利用opencv库


sudo apt-get install libopencv-*
sudo apt-get install python-opencv
sudo apt-get install python-numpy

2 .Python实现


import os
import os
from PIL import Image,ImageDraw
import cv

def detect_object(image):
 grayscale = cv.CreateImage((image.width,image.height),8,1)#创建空的灰度值图片
 cv.CvtColor(image,grayscale,cv.CV_BGR2GRAY)
 cascade=cv.Load("/usr/share/opencv/haarcascades/haarcascade_frontalface_alt_tree.xml")#记载特征值库，此目录下还有好多库可以选用
 rect=cv.HaarDetectObjects(grayscale,cascade,cv.CreateMemStorage(),1.1,2,cv.CV_HAAR_DO_CANNY_PRUNING,(20,20))
 result=[]#标记位置
 for r in rect:
 result.append((r[0][0],r[0][1],r[0][0]+r[0][2],r[0][1]+r[0][3]))
 return result

def process(infile):
 image = cv.LoadImage(infile)
 if image:
 faces = detect_object(image)
 im = Image.open(infile)
 path = os.path.abspath(infile)
 save_path = os.path.splitext(path)[0]+"_face"
 try:
 os.mkdir(save_path)
 except:
 pass
 if faces:
 draw = ImageDraw.Draw(im)
 count=0
 for f in faces:
 count+=1
 draw.rectangle(f,outline=(255,0,0))
 a=im.crop(f)
 file_name=os.path.join(save_path,str(count)+".jpg")
 a.save(file_name)
 drow_save_path = os.path.join(save_path,"out.jpg")
 im.save(drow_save_path,"JPEG",quality=80)
 else:
 print "Error: cannot detect faces on %s" % infile
if __name__ == "__main__":
 process("test3.jpg")

3.效果对比