Python人脸识别初探

Python  /  管理员 发布于 7年前   148

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。