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Windows 7 上的 OpenCV 2.4 和 MinGW 入門

Getting started with OpenCV 2.4 and MinGW on Windows 7(Windows 7 上的 OpenCV 2.4 和 MinGW 入門)
本文介紹了Windows 7 上的 OpenCV 2.4 和 MinGW 入門的處理方法,對大家解決問題具有一定的參考價值,需要的朋友們下面隨著小編來一起學習吧!

問題描述

如何安裝 OpenCV 2.4 并使用 MinGW 編譯我的代碼?

解決方案

1.安裝 OpenCV 2.4.3

首先,從 sourceforge.net 獲取 并雙擊開始安裝.只需按照向導并選擇要安裝的目錄,例如C:MinGW.

選擇要安裝的C Compiler"和C++ Compiler".

安裝程序會從網上下載一些包,所以你需要等待一段時間.安裝完成后,使用前面描述的步驟將 C:MinGWin 添加到您的系統路徑.

要測試您的 MinGW 安裝是否成功,請打開命令行框并鍵入:gcc.如果一切正常,它將顯示此消息:

gcc:致命錯誤:沒有輸入文件編譯終止

這樣就完成了 MinGW 的安裝,現在是編寫Hello, World!"的時候了.程序.

<小時>

3.編寫示例代碼

打開您的文本編輯器并輸入以下代碼并將文件保存到 loadimg.cpp.

#include "opencv2/highgui/highgui.hpp"#include 使用命名空間 cv;使用命名空間標準;int main(int argc, char** argv){Mat im = imread(argc == 2 ? argv[1] : "lena.jpg", 1);如果 (im.empty()){cout<<無法打開圖像!"<<結束;返回-1;}imshow("圖像", im);等待鍵(0);返回0;}

lena.jpg 或任何您喜歡的圖像與上述文件放在同一目錄中.打開命令行框并通過鍵入以下內容編譯上面的代碼:

g++ -I"C:opencvuildinclude" -L"C:opencvuildx86mingwlib" loadimg.cpp -lopencv_core243 -lopencv_highgui243 -o loadimg

如果編譯成功,它將創建一個名為 loadimg.exe 的可執行文件.

類型:

loadimg

執行程序.結果:

<小時>

4.從這里去哪里?

既然您的 OpenCV 環境已準備就緒,接下來要做什么?

  1. 轉到示例目錄 →C:opencvsamplescpp.
  2. 閱讀并編譯一些代碼.
  3. 編寫您自己的代碼.

How do I install OpenCV 2.4 and compile my code with MinGW?

解決方案

1. Installing OpenCV 2.4.3

First, get OpenCV 2.4.3 from sourceforge.net. Its a self-file-extracting so just double click the file to start installation. Install it in a directory, say C:.

Wait until all files get extracted. It will create a new directory C:opencv which contains OpenCV header files, libraries, code samples, etc.

Now you need to add C:opencvuildx86mingwin directory to your system PATH. This directory contains OpenCV DLLs which is required for running your code.

Open Control PanelSystemAdvanced system settingsAdvanced TabEnvironment variables...

You will see a window like shown below:

On the System Variables section,
select Path (1), click Edit... (2), add C:opencvuildx86mingwin (3) then click Ok.

This will completes the OpenCV 2.4.3 installation on your computer.


2. Installing MinGW compiler suite

I highly recommend you to use gcc (GNU Compiler Collection) for compiling your code. gcc is the compiler suite widely available in Linux systems and MinGW is the native port for Windows.

Download the MinGW installer from Sourceforge.net and double click to start installation. Just follow the wizard and select the directory to be installed, say C:MinGW.

Select "C Compiler" and "C++ Compiler" to be installed.

The installer will download some packages from the internet so you have to wait for a while. After the installation finished, add C:MinGWin to your system path using the steps described before.

To test if your MinGW installation is success, open a command-line box and type: gcc. If everything is ok, it will display this message:

gcc: fatal error: no input files
compilation terminated

This completes the MinGW installation, now is the time to write your "Hello, World!" program.


3. Write a sample code

Open your text editor and type the code below and save the file to loadimg.cpp.

#include "opencv2/highgui/highgui.hpp"
#include <iostream>

using namespace cv;
using namespace std;

int main(int argc, char** argv)
{
  Mat im = imread(argc == 2 ? argv[1] : "lena.jpg", 1);
  if (im.empty())
  {
    cout << "Cannot open image!" << endl;
    return -1;
  }

  imshow("image", im);
  waitKey(0);

  return 0;
}

Put lena.jpg or any image you like in the same directory with the file above. Open a command-line box and compile the code above by typing:

g++ -I"C:opencvuildinclude" -L"C:opencvuildx86mingwlib" loadimg.cpp -lopencv_core243 -lopencv_highgui243 -o loadimg

If it compiles successfully, it will create an executable named loadimg.exe.

Type:

loadimg

To execute the program. Result:


4. Where to go from here?

Now that your OpenCV environment is ready, what's next?

  1. Go to the samples dir → C:opencvsamplescpp.
  2. Read and compile some code.
  3. Write your own code.

這篇關于Windows 7 上的 OpenCV 2.4 和 MinGW 入門的文章就介紹到這了,希望我們推薦的答案對大家有所幫助,也希望大家多多支持html5模板網!

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