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-opencvsudo apt-get install python-numpy

2 .Python实现

import osimport osfrom PIL import Image,ImageDrawimport cvdef 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 resultdef 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" % infileif __name__ == "__main__": process("test3.jpg")

3.效果对比

4.参考资料

python使用opencv进行人脸识别

Python+OpenCV人脸检测原理及示例详解

python利用OpenCV2实现人脸检测

以上就是本文的全部内容，希望对大家的学习有所帮助，也希望大家多多支持。