Initial Exploration of Face Recognition in Python

This article shares the specific code for Python face recognition for everyone's reference, the specific content is as follows

1.Using the OpenCV library

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

2 .Python implementation

import os
import os
from PIL import Image,ImageDraw
import cv
def detect_object(image):
  grayscale = cv.CreateImage((image.width,image.height),8,1)#create an empty grayscale image
  cv.CvtColor(image,grayscale,cv.CV_BGR2GRAY)
  cascade=cv.Load("/usr/share/opencv/haarcascades/haarcascade_frontalface_alt_tree.xml")#stores feature value library, there are many libraries available in this directory
  rect=cv.HaarDetectObjects(grayscale,cascade,cv.CreateMemStorage(),1.1,2,cv.CV_HAAR_DO_CANNY_PRUNING,(20,20))
  result=[]#mark position
  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. Effect Comparison

4. References

python uses opencv for face recognition

Python+Principle and Example Explanation of OpenCV Face Detection

python using OpenCV2Face Detection Implementation

That's all for this article. Hope it will be helpful to everyone's learning, and also hope everyone will support the Yelling Tutorial more.

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