opencv_contrib-3.0.0(opencv3.0对应的版本）（x64编译配置）+VS2013+cmake

港控/mmm° 2023-05-21 07:24 11阅读 0赞

### opencv\_contrib-3.0.0(opencv3.0对应的版本）（x64编译配置）+VS2013+cmake ###

*  编译
 *  配置
 *  测试
 *  问题

# 编译 #

安装64位的，又折腾了一遍，又脱了层皮，不过这次终于弄懂了一点点个中原委。这个opencv\_contrib是opencv的额外的包，包含了很多有用的功能，因为是额外的包，所以最后编译安装好是在opencv里的，所以下面源码路径里填的是opencv安装好的文件夹里的sources，和从github下载的压缩文件（opencv\_contrib-3.0.0.zip）不同，那个只是额外的包。  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzkxMDk5_size_16_color_FFFFFF_t_70]  
注意x64要选好，这个是关键，否则就是默认win32的  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzkxMDk5_size_16_color_FFFFFF_t_70 1]  
然后configure和generate，成功后找到OPENCV\_EXTRA\_MODULES\_PATH，填写F:/opencv/opencv\_contrib-3.0.0\_64/opencv\_contrib-3.0.0/modules

> （这里就是我一开始说的，额外需要添加的包就添加在这里，所以路径就是你下载的压缩文件opencv\_contrib-3.0.0.zip解压后的文件夹，要添加的就是里面的modules）  
> （注意路径的斜杠要反过来，否则会报错）

然后configure和generate成功后可以关掉啦。打开生成的VS工程文件。  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzkxMDk5_size_16_color_FFFFFF_t_70 2]  
如果编译成功，打开之后会自动识别设置为x64，然后重新生成解决方案，成功！  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzkxMDk5_size_16_color_FFFFFF_t_70 3]  
找到CMakeTargets中的INSTALL，然后右键选择“仅限于项目”–>“仅生成INSTALL”  
生成成功之后，再改成release，然后重新生成解决方案，然后再生成一遍install，最后生成的文件都在install里啦，然后就可以配置VS啦  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzkxMDk5_size_16_color_FFFFFF_t_70 4]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzkxMDk5_size_16_color_FFFFFF_t_70 5]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzkxMDk5_size_16_color_FFFFFF_t_70 6]  
最后总结一下编译完成的opencv\_contrib-3.0.0的win32和x64文件夹：  
win32:  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzkxMDk5_size_16_color_FFFFFF_t_70 7]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzkxMDk5_size_16_color_FFFFFF_t_70 8]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzkxMDk5_size_16_color_FFFFFF_t_70 9]

x64：  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzkxMDk5_size_16_color_FFFFFF_t_70 10]  
里面debug和release版本都生成啦！  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzkxMDk5_size_16_color_FFFFFF_t_70 11]  
从这里也可以看到，debug和release版本都生成啦！  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzkxMDk5_size_16_color_FFFFFF_t_70 12]

# 配置 #

![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzkxMDk5_size_16_color_FFFFFF_t_70 13]  
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![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzkxMDk5_size_16_color_FFFFFF_t_70 15]  
lib文件名字好像都一样，我直接从win32里复制过来的  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzkxMDk5_size_16_color_FFFFFF_t_70 16]

opencv_bgsegm300.lib
    opencv_bioinspired300.lib
    opencv_calib3d300.lib
    opencv_ccalib300.lib
    opencv_core300.lib
    opencv_datasets300.lib
    opencv_face300.lib
    opencv_features2d300.lib
    opencv_flann300.lib
    opencv_hal300.lib
    opencv_highgui300.lib
    opencv_imgcodecs300.lib
    opencv_imgproc300.lib
    opencv_line_descriptor300.lib
    opencv_ml300.lib
    opencv_objdetect300.lib
    opencv_optflow300.lib
    opencv_photo300.lib
    opencv_reg300.lib
    opencv_rgbd300.lib
    opencv_saliency300.lib
    opencv_shape300.lib
    opencv_stitching300.lib
    opencv_superres300.lib
    opencv_surface_matching300.lib
    opencv_text300.lib
    opencv_tracking300.lib
    opencv_video300.lib
    opencv_videoio300.lib
    opencv_videostab300.lib
    opencv_xfeatures2d300.lib
    opencv_ximgproc300.lib
    opencv_xobjdetect300.lib
    opencv_xphoto300.lib
    opencv_bgsegm300d.lib
    opencv_bioinspired300d.lib
    opencv_calib3d300d.lib
    opencv_ccalib300d.lib
    opencv_core300d.lib
    opencv_datasets300d.lib
    opencv_face300d.lib
    opencv_features2d300d.lib
    opencv_flann300d.lib
    opencv_hal300d.lib
    opencv_highgui300d.lib
    opencv_imgcodecs300d.lib
    opencv_imgproc300d.lib
    opencv_line_descriptor300d.lib
    opencv_ml300d.lib
    opencv_objdetect300d.lib
    opencv_optflow300d.lib
    opencv_photo300d.lib
    opencv_reg300d.lib
    opencv_rgbd300d.lib
    opencv_saliency300d.lib
    opencv_shape300d.lib
    opencv_stitching300d.lib
    opencv_superres300d.lib
    opencv_surface_matching300d.lib
    opencv_text300d.lib
    opencv_tracking300d.lib
    opencv_video300d.lib
    opencv_videoio300d.lib
    opencv_videostab300d.lib
    opencv_xfeatures2d300d.lib
    opencv_ximgproc300d.lib
    opencv_xobjdetect300d.lib
    opencv_xphoto300d.lib

# 测试 #

*  我的测试工程文件位置：E:\\VStestlibrary\\test\_opencv
 *  编译安装路径：  
    （win32）F:\\opencv\\opencv\_contrib-3.0.0\\install  
    （x64）F:\\opencv\\opencv\_contrib-3.0.0\_64\\opencv\_contrib-3.0.0\_64\_build\\install
 *  属性表：（和opencv同位置）

测试程序:

#include <opencv2/opencv.hpp>
    #include <opencv2/xfeatures2d.hpp>
    #include <iostream>
    
    using namespace cv;
    using namespace cv::xfeatures2d;
    using namespace std;
    
    int main(int argc, char** argv) { 
    	Mat src = imread("E:/VStestlibrary/test_opencv/test_opencv/0.jpg", IMREAD_GRAYSCALE);
    	if (src.empty()) { 
    		printf("could not load image...\n");
    		return -1;
    	}
    	namedWindow("input image", CV_WINDOW_AUTOSIZE);
    	imshow("input image", src);
    
    	// SURF特征检测
    	int minHessian = 100;
    	Ptr<SURF> detector = SURF::create(minHessian);
    	vector<KeyPoint> keypoints;
    	detector->detect(src, keypoints, Mat());
    
    	// 绘制关键点
    	Mat keypoint_img;
    	drawKeypoints(src, keypoints, keypoint_img, Scalar::all(-1), DrawMatchesFlags::DEFAULT);
    	imshow("KeyPoints Image", keypoint_img);
    
    	waitKey(0);
    	return 0;
    }

结果：  
win32：  
release没问题，但是debug有问题，就是下面那个有未经处理的异常。（明明没编译配置x64的时候好好的，两个版本都没问题，咋加上八竿子打不着的x64编译出来的，就不行了呢？心累）  
x64：  
release没问题，但是debug有问题，就是下面那个有未经处理的异常。  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzkxMDk5_size_16_color_FFFFFF_t_70 17]

# 问题 #

**1. x64和x86冲突**  
编译完全没问题，但是到了VS重新生成解决方案的时候就开始了。想想完全按照步骤做的，为啥不承认，最后重新用Cmake编译了一遍就没问题了。  
我想可能原因是我试了好几次，但是没有关闭重新设置路径还有x64这种，它不注意又自己改回默认值了？  
**2. error LINK2019 无法解析外部符号**  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzkxMDk5_size_16_color_FFFFFF_t_70 18]  
发现都和opencv\_ziv这个工程文件有关系，一开始直接搜link2019问题发现没什么用，后来才百度了一下opencv\_ziv，发现确实是这的问题。  
**原因**：貌似是opencv\_ziv这个工程文件缺少这两个头文件对应的库（vtkOBJReader.h与vtkSTLReader.h对应vtkIOGeometry.lib）（都是vtk里的）  
**根据提供的错误信息查找**：比如这里的VTK，查找vtkOBJReader.h与vtkSTLReader.h两个头文件，发现都在F:\\VTK\\src\\vtk-v8.0.0\\IO\\Geometry文件中，那就找找看有没有跟IO 与 Geometry相关的lib。可以使用通配符帮助查找。结果就找到了vtkIOGeometry.lib.这个库。然后查看opencv\_viz这个项目的属性，发现没有这个库。添加，尝试重新编译这个项目，结果通过。所以这个BUG就解决了。  
参考：[OpenCV\_Viz——OpenCV中Viz的模块编译的无法解析的外部符号BUG][OpenCV_Viz_OpenCV_Viz_BUG]  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzkxMDk5_size_16_color_FFFFFF_t_70 19]  
**解决**：在opencv\_ziv项目属性的链接器——输入——附加依赖项里跟其他一样加入vtkIOGeometry-8.0.lib这个文件就好了！注意编译release版本的时候，路径要换一下，否则还是会有bug  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzkxMDk5_size_16_color_FFFFFF_t_70 20]  
**3. 有未经处理异常**（未解决！！!)  
测试时出现的  
![在这里插入图片描述][watermark_type_ZmFuZ3poZW5naGVpdGk_shadow_10_text_aHR0cHM6Ly9ibG9nLmNzZG4ubmV0L3FxXzQwNzkxMDk5_size_16_color_FFFFFF_t_70 21]  
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**未解决！！！！**  
4.  
[vs编译出现未加载 wntdll.pdb][vs_ wntdll.pdb]

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[OpenCV_Viz_OpenCV_Viz_BUG]: https://blog.csdn.net/zy2317878/article/details/82926053?ops_request_misc=&request_id=&biz_id=102&utm_medium=distribute.pc_search_result.none-task-blog-2~all~sobaiduweb~default-0
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[vs_ wntdll.pdb]: https://blog.csdn.net/hanani_jia/article/details/79704975