支持向量机的链接器错误OpenCV
我的代码中似乎有链接器问题 代码是:支持向量机的链接器错误OpenCV,opencv,linker,svm,Opencv,Linker,Svm,我的代码中似乎有链接器问题 代码是: #include <stdio.h> #include <stdlib.h> #include <string.h> #include <assert.h> #include <math.h> #include <float.h> #include <limits.h> #include <time.h> #include <ctype.h> #inc
#include <stdio.h>
#include <stdlib.h>
#include <string.h>
#include <assert.h>
#include <math.h>
#include <float.h>
#include <limits.h>
#include <time.h>
#include <ctype.h>
#include <iostream>
#include <vector>
#include "opencv/ml.h"
#include "opencv/cvaux.h"
#include "opencv/highgui.h"
#include "opencv/cxcore.h"
#include "opencv/cv.h"
#include "opencv/highgui.h"
using namespace cv;
int main (int argc, char* argv[])
{
// Data for visual representation
int width = 512, height = 512;
Mat image = Mat::zeros(height, width, CV_8UC3);
// Set up training data
float labels[4] = {1.0, -1.0, -1.0, -1.0};
Mat labelsMat(3, 1, CV_32FC1, labels);
float trainingData[4][2] = { {501, 10}, {255, 10}, {501, 255}, {10, 501} };
Mat trainingDataMat(3, 2, CV_32FC1, trainingData);
// Set up SVM's parameters
CvSVMParams params;
params.svm_type = CvSVM::C_SVC;
params.kernel_type = CvSVM::LINEAR;
params.term_crit = cvTermCriteria(CV_TERMCRIT_ITER, 100, 1e-6);
// Train the SVM
CvSVM SVM;
SVM.train(trainingDataMat, labelsMat, Mat(), Mat(), params);
Vec3b green(0,255,0), blue (255,0,0);
// Show the decision regions given by the SVM
for (int i = 0; i < image.rows; ++i)
for (int j = 0; j < image.cols; ++j)
{
Mat sampleMat = (Mat_<float>(1,2) << i,j);
float response = SVM.predict(sampleMat);
if (response == 1)
image.at<Vec3b>(j, i) = green;
else if (response == -1)
image.at<Vec3b>(j, i) = blue;
}
// Show the training data
int thickness = -1;
int lineType = 8;
circle( image, Point(501, 10), 5, Scalar( 0, 0, 0), thickness, lineType);
circle( image, Point(255, 10), 5, Scalar(255, 255, 255), thickness, lineType);
circle( image, Point(501, 255), 5, Scalar(255, 255, 255), thickness, lineType);
circle( image, Point( 10, 501), 5, Scalar(255, 255, 255), thickness, lineType);
// Show support vectors
thickness = 2;
lineType = 8;
int c = SVM.get_support_vector_count();
for (int i = 0; i < c; ++i)
{
const float* v = SVM.get_support_vector(i);
circle( image, Point( (int) v[0], (int) v[1]), 6, Scalar(128, 128, 128), thickness, lineType);
}
imwrite("result.png", image); // save the image
imshow("SVM Simple Example", image); // show it to the user
waitKey(0);
return EXIT_SUCCESS;
}
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我已经搜索过谷歌了,但我没有发现任何有用的东西
感谢那些有同样问题的人,确保你有所有正确的链接器输入(配置->链接器->输入),包括DLL,如opencv、highgui等。对于那些有同样问题的人,确保你有所有正确的链接器输入(配置->链接器->输入),包括DLL,如opencv,highgui等。对于那些想要一些输入列表的人:
opencv_core412.lib
opencv_imgcodecs412.lib
opencv_imgproc412.lib
opencv_highgui412.lib
opencv_ml412.lib
opencv_video412.lib
opencv_features2d412.lib
opencv_calib3d412.lib
opencv_objdetect412.lib
opencv_flann412.lib
412是版本,在本例中,由于它处于发布模式,因此在最后没有d,否则对于那些想要一些输入列表的人来说,它将是opencv\u flann412d.lib
:
opencv_core412.lib
opencv_imgcodecs412.lib
opencv_imgproc412.lib
opencv_highgui412.lib
opencv_ml412.lib
opencv_video412.lib
opencv_features2d412.lib
opencv_calib3d412.lib
opencv_objdetect412.lib
opencv_flann412.lib
412就是这个版本,在本例中,由于它处于发布模式,所以在最后没有d,否则它将是opencv\u flann412d.lib