python调用OpenCV实现人脸识别功能


            Python调用OpenCV实现人脸识别，供大家参考，具体内容如下



硬件环境：

Win10 64位

软件环境：

Python版本：2.7.3

IDE：JetBrains PyCharm 2016.3.2

Python库：

1.1) opencv-python(3.2.0.6)

搭建过程：

OpenCV Python库：

1. PyCharm的插件源中选择opencv-python(3.2.0.6)库安装

题外话：Python入门Tips

PS1：如何安装whl文件



1.先安装PIP



2.CMD命令进入D:\Python27\Scripts里面后再执行PIP命令安装pip install wheel

如果提示'pip'不是内部或外部命令，也不是可运行的程序或批处理文件：

①将python安装目录下的scripts目录（例如D:\Python27\Scripts）添加到系统环境变量path里，注意前加分号。再执行该命令

pip install wheel

②在cmd下进入到D:\Python27\Scripts目录下执行该命令

pip install wheel



3.把文件最好放在\Script文件夹里面再pip install xxxx.whl



4.注意whl文件名不能改 必须一模一样和原名

PS2：到哪找.whl文件？

相关代码：





import cv2

import numpy as np



cv2.namedWindow("test") # Create a window

cap = cv2.VideoCapture(0) #Open camera one

success, frame = cap.read() #Read one frame



print("Camera open operation is: ", success);

color = (255,0,0) #Config the color

classfier = cv2.CascadeClassifier("Resources\haarcascade_frontalface_alt.xml")



#Make sure this xml file is in the same directory with py file

#Otherwise change it to absolute directory. This xml file can be found in D:\My 



Documents\Downloads\opencv\sources\data\haarcascades



while success:

  success, frame = cap.read()

  size = frame.shape[:2] #

  image = np.zeros(size, dtype = np.float16) #

  image = cv2.cvtColor(frame, cv2.COLOR_BGR2GRAY) #

  cv2.equalizeHist(image, image) #

  #Below three lines config the minimal image size

  divisor = 8

  h, w = size

  minSize = ((int)(w/divisor), (int)(h/divisor))

  faceRects = classfier.detectMultiScale(image, 1.2, 2, cv2.CASCADE_SCALE_IMAGE, minSize) #Face detect

  if len(faceRects) > 0:#If face array length > 0

    for faceRect in faceRects: #Draw a rectangle for every face

        xf, yf, wf, hf = faceRect

        x = int((float)(xf))

        y = int((float)(yf))

        w = int((float)(wf))

        h = int((float)(hf))

        cv2.rectangle(frame, (x, y), (x + w, y + h), color)

        cv2.circle(frame, ((int)(x + 1.2 * w / 4), (int)(y + h / 3)), min((int)(w / 8), (int)(h / 8)), (255, 0, 0))

        cv2.circle(frame, ((int)(x + 2.8 * w / 4), (int)(y + h / 3)), min((int)(w / 8), (int)(h / 8)), (255, 0, 0))

        #cv2.rectangle(frame, ((int)(x + 3 * w / 8, (int)(y + 3 * h / 4))), ((int)(x + 5 * w / 8), (int)(y + 7 * h / 8)), (255, 0, 0))

  cv2.imshow("test", frame) #Display image



  key = cv2.waitKey(10)

  c = chr(key & 255)

  if c in ['q', 'Q', chr(27)]:

    break



cv2.destroyWindow("test")



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