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luyishisiluyishisi
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face-gensui
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‎automatic_weather/1.天气查询.py‎

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print(output)
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fileHandle = open ( 'weather.txt', 'r' )
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begin = fileHandle.read()
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print(begin)
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fileHandle = open ( 'weather.txt', 'w' )
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fileHandle.write(output)
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fileHandle.close()

‎face_gensui/README.md‎

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1.py是测试文件
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2.py是成品，能够对目录下的5.jpg进行人脸识别，并且画出一个绿色的框，重点是
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能够获取脸的距离位置，目的是通过获取相对位置，不断的重复读取的过程，存储到
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文件中，然后达到跟随的目的。
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使用指南，
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请先安装好环境：
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linux
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python 2.7.3
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opencv 2.3.1-7
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安装依赖
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sudo apt-get install libopencv-*
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sudo apt-get install python-opencv
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sudo apt-get install python-numpy
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进入start运行2.py可以单独测试人脸识别的功能，欲测试整体不断识别相对位置功能
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请运行lianxuzhibo.py文件 python lianxuzhibo.py，如果环境上没有大问题的话
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应该能在该目录下出现5.jpg图片文件，如果存在人脸，则会进行识别，建立一个
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weizhi.txt文件，存储每次人脸位置的重心，
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剩下的部分就是根据这个txt进行摄像头的转换了，这个之后再写，别闲我懒。。过年嘛。。

‎face_gensui/opencv_in.jpg‎

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‎face_gensui/opencv_in_face/1.jpg‎

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‎face_gensui/opencv_in_face/out.jpg‎

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‎face_gensui/start/15.jpg‎

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‎face_gensui/start/2.py‎

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#coding=utf-8
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import cv2
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import cv2.cv as cv
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img = cv2.imread("5.jpg")
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def detect(img, cascade):
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'''detectMultiScale函数中smallImg表示的是要检测的输入图像为smallImg，
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faces表示检测到的人脸目标序列，1.3表示每次图像尺寸减小的比例为1.3，
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4表示每一个目标至少要被检测到3次才算是真的目标(因为周围的像素和不同的窗口大小都可以检测到人脸),
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CV_HAAR_SCALE_IMAGE表示不是缩放分类器来检测，而是缩放图像，Size(20, 20)为目标的最小最大尺寸'''
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rects = cascade.detectMultiScale(img, scaleFactor=1.3,
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minNeighbors=5, minSize=(30, 30), flags = cv.CV_HAAR_SCALE_IMAGE)
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if len(rects) == 0:
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return []
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print rects
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rects[:,2:] += rects[:,:2]
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print rects
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return rects
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#在img上绘制矩形
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def draw_rects(img, rects, color):
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for x1, y1, x2, y2 in rects:
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cv2.rectangle(img, (x1, y1), (x2, y2), color, 2)
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#转换为灰度图
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gray = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
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#直方图均衡处理
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gray = cv2.equalizeHist(gray)
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#脸部特征分类地址，里面还有其他
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cascade_fn = '/usr/share/opencv/haarcascades/haarcascade_frontalface_alt.xml'
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#读取分类器,CascadeClassifier下面有一个detectMultiScale方法来得到矩形
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cascade = cv2.CascadeClassifier(cascade_fn)
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#通过分类器得到rects
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rects = detect(gray, cascade)
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#vis为img副本
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'''
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以下文件操作部分可以删除，功能只是要读取上一次的人脸位置重心
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'''
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vis = img.copy()
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txt = str(rects)
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fileHandle = open ( 'weizhi.txt', 'r' )
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begin = fileHandle.read()
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fileHandle.close()
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fileHandle = open ( 'weizhi.txt', 'w' )
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fileHandle.write(txt)
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fileHandle.close()
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x =int(begin[2:5:])
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y =int(begin[6:9:])
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z =int(begin[10:13])/2
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x = x + z
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y = y + z
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print("x=",x,"y=",y,"z=",z)
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f = open('zhongxin.txt','w')
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f.write(str(x)+" "+str(y)+" "+str(z))
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f.close()
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#画矩形
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draw_rects(vis, rects, (0, 255, 0))
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cv2.imshow('facedetect', vis)
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cv2.waitKey(0)
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cv2.destroyAllWindows()

‎face_gensui/start/5 .png‎

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‎face_gensui/start/5.jpg‎

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‎face_gensui/start/lianxuzhibo.py‎

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import subprocess
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import time
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file_number = 0
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while True:
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file_name = dir + format(file_number,"05d")+".jpg"
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file_number = file_number + 1
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subprocess.call(["raspistill","-w","400","-h","400","-e","jpg","-n","-t","1","-o",file_name])
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subprocess.call(["cp","-f",file_name,"5.jpg"])
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subprocess.call(["python","2.py"])
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time.sleep(1)
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