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python_opencv
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‎python_game/3.display.set_mode/.display.set_mode_change.py.swp‎

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‎python_opencv/1.py‎

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#coding:utf-8
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import cv2
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capture=cv2.VideoCapture(0)
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#将capture保存为motion-jpeg,cv_fourcc为保存格式
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size = (int(capture.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH)),
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int(capture.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT)))
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#cv_fourcc值要设置对，不然无法写入，而且不报错，坑
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video=cv2.VideoWriter("VideoTest.avi", cv2.cv.CV_FOURCC('I','4','2','0'), 30, size)
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#isopened可以查看摄像头是否开启
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print capture.isOpened()
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num=0
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#要不断读取image需要设置一个循环
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while True:
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ret,img=capture.read()
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#视频中的图片一张张写入
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video.write(img)
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cv2.imshow('Video',img)
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key=cv2.waitKey(1)#里面数字为delay时间，如果大于0为刷新时间，
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#超过指定时间则返回-1，等于0没有返回值,但也可以读取键盘数值，
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cv2.imwrite('%s.jpg'%(str(num)),img)
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num=num+1
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if key==ord('q'):#ord为键盘输入对应的整数,
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break
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video.release()

‎python_opencv/2.py‎

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#coding=utf-8
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import os
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from PIL import Image, ImageDraw
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import cv
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def detect_object(image):
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'''检测图片，获取人脸在图片中的坐标'''
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grayscale = cv.CreateImage((image.width, image.height), 8, 1)
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cv.CvtColor(image, grayscale, cv.CV_BGR2GRAY)
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cascade = cv.Load("/usr/share/opencv/haarcascades/haarcascade_frontalface_alt_tree.xml")
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rect = cv.HaarDetectObjects(grayscale, cascade, cv.CreateMemStorage(), 1.1, 2,
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cv.CV_HAAR_DO_CANNY_PRUNING, (20,20))
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result = []
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for r in rect:
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result.append((r[0][0], r[0][1], r[0][0]+r[0][2], r[0][1]+r[0][3]))
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return result
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def process(infile):
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'''在原图上框出头像并且截取每个头像到单独文件夹'''
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image = cv.LoadImage(infile);
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if image:
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faces = detect_object(image)
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im = Image.open(infile)
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path = os.path.abspath(infile)
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save_path = os.path.splitext(path)[0]+"_face"
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try:
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os.mkdir(save_path)
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except:
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pass
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if faces:
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draw = ImageDraw.Draw(im)
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count = 0
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for f in faces:
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count += 1
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draw.rectangle(f, outline=(255, 0, 0))
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a = im.crop(f)
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file_name = os.path.join(save_path,str(count)+".jpg")
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# print file_name
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a.save(file_name)
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drow_save_path = os.path.join(save_path,"out.jpg")
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im.save(drow_save_path, "JPEG", quality=80)
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else:
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print "Error: cannot detect faces on %s" % infile
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if __name__ == "__main__":
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process("psb.jpg")

‎python_opencv/2.py~‎

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‎python_opencv/psb.jpg‎

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‎python_opencv/psb_face/1.jpg‎

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‎python_opencv/psb_face/out.jpg‎

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‎python_opencv/test.py‎

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mport cv2
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capture=cv2.VideoCapture(0)
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#将capture保存为motion-jpeg,cv_fourcc为保存格式
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size = (int(capture.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH)),
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int(capture.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT)))
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#cv_fourcc值要设置对，不然无法写入，而且不报错，坑
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video=cv2.VideoWriter("VideoTest.avi", cv2.cv.CV_FOURCC('I','4','2','0'), 30, size)
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#isopened可以查看摄像头是否开启
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print capture.isOpened()
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num=0
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#要不断读取image需要设置一个循环
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while True:
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ret,img=capture.read()
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#视频中的图片一张张写入
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video.write(img)
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cv2.imshow('Video',img)
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key=cv2.waitKey(1)#里面数字为delay时间，如果大于0为刷新时间，
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#超过指定时间则返回-1，等于0没有返回值,但也可以读取键盘数值，
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cv2.imwrite('%s.jpg'%(str(num)),img)
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num=num+1
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if key==ord('q'):#ord为键盘输入对应的整数,
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break
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video.release()import cv2
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img = cv2.imread("psd.jpg")
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cv2.namedWindow("Image")
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cv2.imshow("image",img)
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cv.waitKey(0)
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‎python_opencv/无标题文档~‎

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