关于EmguCV我就不多说了,是对应于OpenCV的一套net库。
公司是视觉方面的业务,我又不会c++(好想会啊,正在学习中)。由于各种需求,自己觉得对c++不是特别感冒,所以选用了net下的opencv的封装EmguCV。python也有对应的opencv的库。无奈我python还处于入门阶段。
不废话,先说Emgucv的配置,我是看园子里的博客配置的,附上链接:
http://www.cnblogs.com/bomo/archive/2013/03/28/2986113.html
下面先演示一下简单的显示图片及视频。
视频需要安装ffshow解码器,自行百度下载
EmguCV显示图片:
1 var img = CvInvoke.cvLoadImage(imgname, Emgu.CV.CvEnum.LOAD_IMAGE_TYPE.CV_LOAD_IMAGE_ANYCOLOR);
2 CvInvoke.cvNamedWindow("mainWin");
3 if (img == null)
4 {
5 CvInvoke.cvReleaseImage(ref img);
6 continue;
7 }
8 CvInvoke.cvShowImage("mainWin", img);
EmguCV显示视频:
1 IntPtr CatchFrame = CvInvoke.cvCreateFileCapture(path.ToString());
2 // 得到总帧数
3 var count = CvInvoke.cvGetCaptureProperty(CatchFrame, Emgu.CV.CvEnum.CAP_PROP.CV_CAP_PROP_FRAME_COUNT);
4 // 视频宽度
5 int wd = (int)CvInvoke.cvGetCaptureProperty(CatchFrame, Emgu.CV.CvEnum.CAP_PROP.CV_CAP_PROP_FRAME_WIDTH);
6 // 视频高度
7 int hg = (int)CvInvoke.cvGetCaptureProperty(CatchFrame, Emgu.CV.CvEnum.CAP_PROP.CV_CAP_PROP_FRAME_HEIGHT);
8 // 当前帧位置
9 //CvInvoke.cvGetCaptureProperty(CatchFrame, Emgu.CV.CvEnum.CAP_PROP.CV_CAP_PROP_POS_FRAMES);
10 // 帧频
11 CvInvoke.cvGetCaptureProperty(CatchFrame, Emgu.CV.CvEnum.CAP_PROP.CV_CAP_PROP_FPS);
12
13 IntPtr FrameImg;
14 int i = 0;
15 CvInvoke.cvNamedWindow("mainWin");
16 //灰度图
17 //IntPtr grayImg = CvInvoke.cvCreateImage(new Size(wd,hg),Emgu.CV.CvEnum.IPL_DEPTH.IPL_DEPTH_8U,1);
18 while ((FrameImg = CvInvoke.cvQueryFrame(CatchFrame)) != IntPtr.Zero)
19 {
20 //转换为灰度图
21 //CvInvoke.cvCvtColor(FrameImg, grayImg, Emgu.CV.CvEnum.COLOR_CONVERSION.BGR2GRAY);
22 //EmguCV中的Image 转换为 C#中的Bitmap
23 //Image<Bgr, byte> FramePic = new Image<Bgr, byte>(wd, hg);
24 //CvInvoke.cvCopy(FrameImg, FramePic, IntPtr.Zero);
25 //Bitmap bt = new Bitmap(FramePic.ToBitmap());
26 //FramePic.Dispose();
27 CvInvoke.cvShowImage("mainWin", FrameImg );
28 }
29 CvInvoke.cvReleaseImage(ref FrameImg );
30 CvInvoke.cvDestroyWindow("mainWin");
另附上python的调用opencv的代码
python需要安装numpy和scipy!
显示图片代码:
1 import cv2
2 import numpy as np
3 #读取图片
4 img = cv2.imread("./IMGS/1.jpg")
5 #实例化8位图
6 emptyImage = np.zeros(img.shape, np.uint8)
7 emptyImage2 = img.copy()
8 #灰度图
9 emptyImage3 = cv2.cvtColor(img,cv2.COLOR_BGR2GRAY)
10 #显示图片
11 cv2.imshow("emptyImage",emptyImage)
12 cv2.imshow("emptyImage2",emptyImage2)
13 cv2.imshow("emptyImage3",emptyImage3)
14 cv2.imshow("img",img)
15 #保存图片 质量为5 和 100
16 cv2.imwrite("./1.jpg",img,[int(cv2.IMWRITE_JPEG_QUALITY),5])
17 cv2.imwrite("./2.jpg",img,[int(cv2.IMWRITE_JPEG_QUALITY),100])
18 #png压缩大小
19 cv2.imwrite("./3.png",img,[int(cv2.IMWRITE_PNG_COMPRESSION),0])
20 cv2.imwrite("./4.png",img,[int(cv2.IMWRITE_PNG_COMPRESSION),9])
21
22 #cv2.namedWindow("image")
23 #cv2.imshow("image",image)
24 cv2.waitKey(0)
25 cv2.destroyAllWindows()
播放视频,并把每帧保存成图片:
1 #!/usr/bin/env python
2 # -*- coding: utf-8 -*-
3 # @Author: 禾子三金
4 # @Date: 2015-08-05 17:45:45
5 # @Last Modified by: 禾子三金
6 # @Last Modified time: 2015-08-13 15:41:00
7 import cv2
8
9 videoCapture = cv2.VideoCapture("./cs.mp4",'utf-8')
10
11 fps = videoCapture.get(cv2.cv.CV_CAP_PROP_FPS)
12 size = (int(videoCapture.get(cv2.cv.CV_CAP_PROP_FRAME_WIDTH)),int(videoCapture.get(cv2.cv.CV_CAP_PROP_FRAME_HEIGHT)))
13
14 success, frame = videoCapture.read()
15 i = 0
16 while success:
17 cv2.imshow("video",frame)
18 cv2.waitKey(1000/int(fps))
19 cv2.imwrite("./img/%d.jpg" % i,frame)
20 i = i + 1
21 success, frame = videoCapture.read()
以上代码都是我自己网上找的demo或者自己写的简单例子,代码粗糙,嘿嘿。