Why is face recognition developed in python?

You can use OpenCV. In general, the face detection function of OpenCV is good. Ubuntu just provides python-opencv package, which can be used to easily realize face detection code.

Python-opencv should be installed before writing code:

#! /usr/bin/python

#? -*-? Code:? UTF 8? -*-

#? face_detect.py

#? Face? Testing? Use? OpenCV。 ? Foundation? Open? Sample? Code? From:

#? /m76db 1d6b

#? Usage:? python？ face_detect.py？ & ltimage _ file & gt

Import? sys，？ Operating System (operating system)

From where? opencv.cv？ Import? *

From where? opencv.highgui？ Import? *

From where? PIL？ Import? Image? ImageDraw

From where? Math? Import? sqrt

def？ Detection object (image):

"""converts? Ann? Image? Where to? Gray scale? And then what? Fingerprints? That? Where? Yes? Really? Face? Found ""

Gray scale? =? cvCreateImage(cvSize(image . width，？ image.height)，？ 8,? 1)

CvCvtColor (picture,? Gray scale,? CV_BGR2GRAY)

Storage? =? cvCreateMemStorage(0)

CvClearMemStorage (storage)

CvEqualizeHist (gray scale,? Gray scale)

Cascade? =? cvLoadHaarClassifierCascade(

/usr/share/opencv/Haar cascades/Haar cascade _ frontal face _ default . XML '，

cvSize( 1， 1))

Face? =? CvHaarDetectObjects (gray scale, cascade,? Storage? 1. 1,? 2,

CV_HAAR_DO_CANNY_PRUNING，？ cvSize(20，20))

The result? =? []

For what? f？ Are you online? Faces:

result.append((f.x，？ Swallow? f.x+f.width，？ f.y+f.height))

Return? result

def？ Gray scale (r, g,? b):

Return? int(r？ *? .3? +? g？ *? .59? +? b？ *? . 1 1)

def？ Infile (output file):

Image? =? cvLoadImage(infile)；

What if? Picture:

Face? =? Detection object (image)

im？ =? Image.open(infile)

What if? Faces:

Painting? =? ImageDraw。 Drawing (im)

For what? f？ Are you online? Faces:

Draw.rectangle(f, outline =(255,? 0,? 255))

im.save(outfile，“JPEG”，？ Mass = 100)

Otherwise:

Print? "error:? Can't? Testing? Face? Open? %s "？ %? infile

What if? __name__？ ==? " __main__ "

process('input.jpg '，？ output . jpg’)