vs2013下安装opencv2.4.9，测试出现error LINK:无法打开文件“opencv_ml249d.lib”。

整个项目的结构图：

编写DetectFaceDemo.java,代码如下：

[java] view

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package com.njupt.zhb.test

import org.opencv.core.Core

import org.opencv.core.Mat

import org.opencv.core.MatOfRect

import org.opencv.core.Point

import org.opencv.core.Rect

import org.opencv.core.Scalar

import org.opencv.highgui.Highgui

import org.opencv.objdetect.CascadeClassifier

//

// Detects faces in an image, draws boxes around them, and writes the results

// to "faceDetection.png".

//

public class DetectFaceDemo {

public void run() {

System.out.println("\nRunning DetectFaceDemo")

System.out.println(getClass().getResource("lbpcascade_frontalface.xml").getPath())

// Create a face detector from the cascade file in the resources

// directory.

//CascadeClassifier faceDetector = new CascadeClassifier(getClass().getResource("lbpcascade_frontalface.xml").getPath())

//Mat image = Highgui.imread(getClass().getResource("运察轿lena.png"没乎).getPath())

//注意：源程序的路径会多打印一个‘/’，因此总是出现如下错误

/*

* Detected 0 faces Writing faceDetection.png libpng warning: Image

* width is zero in IHDR libpng warning: Image height is zero in IHDR

* libpng error: Invalid IHDR data

*/

//因此，我们将第一个字符去掉

String xmlfilePath=getClass().getResource("lbpcascade_frontalface.xml").getPath().substring(1)

CascadeClassifier faceDetector = new CascadeClassifier(xmlfilePath)

Mat image = Highgui.imread(getClass().getResource("we.jpg").getPath().substring(1))

// Detect faces in the image.

// MatOfRect is a special container class for Rect.

MatOfRect faceDetections = new MatOfRect()

faceDetector.detectMultiScale(image, faceDetections)

System.out.println(String.format("Detected %s faces"旁肆, faceDetections.toArray().length))

// Draw a bounding box around each face.

for (Rect rect : faceDetections.toArray()) {

Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0))

}

// Save the visualized detection.

String filename = "faceDetection.png"

System.out.println(String.format("Writing %s", filename))

Highgui.imwrite(filename, image)

}

}

package com.njupt.zhb.test

import org.opencv.core.Core

import org.opencv.core.Mat

import org.opencv.core.MatOfRect

import org.opencv.core.Point

import org.opencv.core.Rect

import org.opencv.core.Scalar

import org.opencv.highgui.Highgui

import org.opencv.objdetect.CascadeClassifier

//

// Detects faces in an image, draws boxes around them, and writes the results

// to "faceDetection.png".

//

public class DetectFaceDemo {

public void run() {

System.out.println("\nRunning DetectFaceDemo")

System.out.println(getClass().getResource("lbpcascade_frontalface.xml").getPath())

// Create a face detector from the cascade file in the resources

// directory.

//CascadeClassifier faceDetector = new CascadeClassifier(getClass().getResource("lbpcascade_frontalface.xml").getPath())

//Mat image = Highgui.imread(getClass().getResource("lena.png").getPath())

//注意：源程序的路径会多打印一个‘/’，因此总是出现如下错误

/*

* Detected 0 faces Writing faceDetection.png libpng warning: Image

* width is zero in IHDR libpng warning: Image height is zero in IHDR

* libpng error: Invalid IHDR data

*/

//因此，我们将第一个字符去掉

String xmlfilePath=getClass().getResource("lbpcascade_frontalface.xml").getPath().substring(1)

CascadeClassifier faceDetector = new CascadeClassifier(xmlfilePath)

Mat image = Highgui.imread(getClass().getResource("we.jpg").getPath().substring(1))

// Detect faces in the image.

// MatOfRect is a special container class for Rect.

MatOfRect faceDetections = new MatOfRect()

faceDetector.detectMultiScale(image, faceDetections)

System.out.println(String.format("Detected %s faces", faceDetections.toArray().length))

// Draw a bounding box around each face.

for (Rect rect : faceDetections.toArray()) {

Core.rectangle(image, new Point(rect.x, rect.y), new Point(rect.x + rect.width, rect.y + rect.height), new Scalar(0, 255, 0))

}

// Save the visualized detection.

String filename = "faceDetection.png"

System.out.println(String.format("Writing %s", filename))

Highgui.imwrite(filename, image)

}

}

3.编写测试类：

[java] view

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package com.njupt.zhb.test

public class TestMain {

public static void main(String[] args) {

System.out.println("Hello, OpenCV")

// Load the native library.

System.loadLibrary("opencv_java246")

new DetectFaceDemo().run()

}

}

//运行结果:

//Hello, OpenCV

//

//Running DetectFaceDemo

///E:/eclipse_Jee/workspace/JavaOpenCV246/bin/com/njupt/zhb/test/lbpcascade_frontalface.xml

//Detected 8 faces

//Writing faceDetection.png

package com.njupt.zhb.test

public class TestMain {

public static void main(String[] args) {

System.out.println("Hello, OpenCV")

// Load the native library.

System.loadLibrary("opencv_java246")

new DetectFaceDemo().run()

}

}

//运行结果:

//Hello, OpenCV

//

//Running DetectFaceDemo

///E:/eclipse_Jee/workspace/JavaOpenCV246/bin/com/njupt/zhb/test/lbpcascade_frontalface.xml

//Detected 8 faces

//Writing faceDetection.png

安装opencv2.4.9，解压，请务必记住自己解压的路径。宜家以我自己的路径为例D:\Program Files

2

配置环境变量

1、系统变量 Path：添加D:\Program Files\opencv\build\x86\vc12\bin

2、用户变量：添加opencv变量，值D:\Program Files\opencv\build，添加PATH变量（有就不需要添加，但是值需要添加）值D:\Program Files\opencv\build\x86\vc12\bin

说明：不管你系统是32位还是64位，路脊昌径目录均选择X86，因为编译都是使用32位编译；如果选用X64，则程序运行时候会出错。

3

新建visual C项目

新建 visual C++项目，如下图所示，项目选项注意：如下图。

4

工程目录的配置（Debug）

找到属性管理器，如果找不到，请安装下图方法找到。双击Debug|Win32打开如下窗口，

设置如下：（下图红框项为世漏设置项）

1、包含樱返扒目录：（VC++目录）

D:\Program Files\opencv\build\include

D:\Program Files\opencv\build\include\opencv

D:\Program Files\opencv\build\include\opencv2

2、库目录：（VC++目录）D:\Program Files\opencv\build\x86\vc12\lib

3、连接器->输入->附加依赖项：

opencv_ml249d.lib

opencv_calib3d249d.lib

opencv_contrib249d.lib

opencv_core249d.lib

opencv_features2d249d.lib

opencv_flann249d.lib

opencv_gpu249d.lib

opencv_highgui249d.lib

opencv_imgproc249d.lib

opencv_legacy249d.lib

opencv_objdetect249d.lib

opencv_ts249d.lib

opencv_video249d.lib

opencv_nonfree249d.lib

opencv_ocl249d.lib

opencv_photo249d.lib

opencv_stitching249d.lib

opencv_superres249d.lib

opencv_videostab249d.lib

其实以上都是D:\Program Files\opencv\build\x86\vc12\lib下所有的lib文件，你会发现，有的后面带上d，有的没有d，这是因为Debug的就有d，Release则没有d。

图片路径写对了吗？请把测试图像放到D:\works\testimage.jpg下，然后扮禅在程序里使用这个绝蔽缺碧对路径调用之。

把程序贴出来看看。宏举