【OpenCV】Python人脸检测+人脸提取

 #!/usr/bin/env python

 import numpy as np
 import cv2
 import cv2.cv as cv
 from video import create_capture
 from common import clock, draw_str

 help_message = '''
 USAGE: facedetect.py [--cascade ] [--nested-cascade ] []
 '''

 def detect(img, cascade):
     rects = cascade.detectMultiScale(img, scaleFactor=1.3, minNeighbors=4, minSize=(30, 30), flags = cv.CV_HAAR_SCALE_IMAGE)
     if len(rects) == 0:
         return []
     rects[:,2:] += rects[:,:2]
     return rects

 def draw_rects(img, rects, color):
     for x1, y1, x2, y2 in rects:
         cv2.rectangle(img, (x1, y1), (x2, y2), color, 2)

 if __name__ == '__main__':
     import sys, getopt
     print help_message

     args, video_src = getopt.getopt(sys.argv[1:], '', ['cascade=', 'nested-cascade='])
     try: video_src = video_src[0]
     except: video_src = 0
     args = dict(args)
     cascade_fn = args.get('--cascade', "../../data/haarcascades/haarcascade_frontalface_alt.xml")
     #nested_fn  = args.get('--nested-cascade', "../../data/haarcascades/haarcascade_eye.xml")

     cascade = cv2.CascadeClassifier(cascade_fn)
     #nested = cv2.CascadeClassifier(nested_fn)

     cam = create_capture(video_src, fallback='synth:bg=../cpp/lena.jpg:noise=0.05')

     while True:
         ret, img = cam.read()
         gray = cv2.cvtColor(img, cv2.COLOR_BGR2GRAY)
         gray = cv2.equalizeHist(gray)

         t = clock()
         rects = detect(gray, cascade)
         vis = img.copy()
         draw_rects(vis, rects, (0, 255, 0))

         for x1, y1, x2, y2 in rects:
          #   roi = gray[y1:y2, x1:x2]
          #   vis_roi = vis[y1:y2, x1:x2]
             #print(x1,y1,x2,y2)
             crop = vis[y1:y2,x1:x2]
             cv2.imshow('crop',crop)
           #  subrects = detect(roi.copy(), nested)
           #  draw_rects(vis_roi, subrects, (255, 0, 0))
         dt = clock() - t

         draw_str(vis, (20, 20), 'time: %.1f ms' % (dt*1000))
         cv2.imshow('facedetect', vis)

         if 0xFF & cv2.waitKey(5) == 27:
             break
     cv2.destroyAllWindows()

效果：

上边核心代码就几行，我却弄了半天。一方面是python不熟，想学习一下，还有就是没找到合适的文档，如果用c佳佳就快多了。

吐槽一下：网上搜索的各种人脸识别其实就是人脸检测，都没做到识别那步。这里是人脸检测+人脸提取。之后提取到的图片准备扔到神经网络里去进行人脸识别。只不过遇到电脑问题。我的电脑只有一块110G的固态硬盘，老机子翻新用。结果Docker装不上，Vmware+ubuntu14.0硬盘也基本上就满了，CUDA也装不下。等解决了机器问题再继续弄神经网络吧。。

这个主题下推荐两篇博客讲得比较详细：

http://blog.csdn.net/qingyuanluofeng/article/details/51576498

http://blog.csdn.net/topgun_chenlingyun/article/details/10582641