Python调用OpenCV实现人脸识别

[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？
http://www.lfd.uci.edu/~gohlke/pythonlibs/

[相关代码]

import cv2import numpy as npcv2.namedWindow("test") # Create a windowcap = cv2.VideoCapture(0) #Open camera onesuccess, frame = cap.read() #Read one frameprint("Camera open operation is: ", success);color = (255,0,0) #Config the colorclassfier = 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\haarcascadeswhile 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)]:        breakcv2.destroyWindow("test")