我的代码似乎有链接器问题。
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>
#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;
}
这里是错误报告：
2> SVM.obj：错误LNK2019：无法解析的外部符号“ public：无效__thiscall cv :: Mat :: deallocate（void）“（？deallocate @ Mat @ cv @@ QAEXXZ）在函数“ public：void __thiscall中引用”cv :: Mat :: release（void）“（？release @ Mat @ cv @@ QAEXXZ）2> SVM.obj：错误LNK2019：尚未解决的外部符号“ public：void __thiscallcv :: MatConstIterator :: seek（int，bool）“（？seek @ MatConstIterator @ cv @@ QAEXH_N @ Z）在函数“ public：”中引用类cv :: MatConstIterator和__thiscallcv :: MatConstIterator :: operator ++（void）“（?? EMatConstIterator @ cv @@ QAEAAV01 @ XZ）2> SVM.obj：错误LNK2019：未解析的外部符号“ public：void __thiscallcv :: Mat :: copySize（class cv :: Mat const＆）“（？copySize @ Mat @ cv @@ QAEXABV12 @@ Z）（）：__thiscall cv :: Mat :: Mat（class cv :: Mat const＆）“（?? 0Mat @ cv @@ QAE @ ABV01 @@ Z）2> SVM.obj：错误LNK2019：未解决外部符号“ void __cdecl cv :: fastFree（void *）”（？fastFree @ cv @@ YAXPAX @ Z）函数“ public：__thiscall中引用cv :: Mat ::〜Mat（void）“（?? 1Mat @ cv @@ QAE @ XZ）2> SVM.obj：错误LNK2019：未解析的外部符号“ public：void __thiscallcv :: Mat :: create（int，int const *，int）“（？create @ Mat @ cv @@ QAEXHPBHH @ Z）在函数“ public：void __thiscall中引用”cv :: Mat :: create（int，int，int）“（？create @ Mat @ cv @@ QAEXHHH @ Z）2> SVM.obj：错误LNK2019：无法解析的外部符号“ public：void __thiscallcv :: MatConstIterator :: seek（int const *，bool）“函数中引用的（？seek @ MatConstIterator @ cv @@ QAEXPBH_N @ Z）“ public：__thiscall cv :: MatConstIterator :: MatConstIterator（classcv :: Mat const *）“（?? 0MatConstIterator @ cv @@ QAE @ PBVMat @ 1 @@@ Z）2> SVM.obj：错误LNK2019：无法解析的外部符号“公共：无效__thiscallcv :: Mat :: convertTo（class cv :: _ OutputArray const＆，int，double，double）const“在（？convertTo @ Mat @ cv @@ QBEXABV_OutputArray @ 2 @ HNN @ Z）中引用函数“ public：类cv :: Mat_＆_ thiscallcv :: Mat :: operator =（class cv :: Mat const＆）“（?? 4？$ Mat_ @ M @ cv @@ QAEAAV01 @ ABVMat @ 1 @@ Z）2> SVM.obj：错误LNK2019：未解析的外部符号“ public：__ thiscallcv :: _ OutputArray :: _ OutputArray（class cv :: Mat＆）“在函数“ public：”中引用（0_OutputArray @ cv @@ QAE @ AAVMat @ 1 @@ Z）class cv :: Mat_＆_ thiscall cv :: Mat :: operator =（classcv :: Mat const＆）“（?? 4？$ Mat_ @ M @ cv @@ QAEAAV01 @ ABVMat @ 1 @@ Z）2> SVM.obj：错误LNK2019：无法解析的外部符号“ public：类cv :: Mat__thiscall cv :: Mat :: reshape（int，int，int const *）const“（？reshape @ Mat @ cv @@ QBE？AV12 @ HHPBH @ Z）在函数” public：中引用：class cv :: Mat_＆_ thiscall cv :: Mat :: operator =（classcv :: Mat const＆）“（?? 4？$ Mat_ @ M @ cv @@ QAEAAV01 @ ABVMat @ 1 @@ Z）2> SVM.obj：错误LNK2019：无法解析的外部符号“ public：虚拟__thiscallCvSVM ::〜CvSVM（void）“（?? 1CvSVM @@ UAE @ XZ）在函数_main中引用2> SVM.obj：错误LNK2019：未解析的外部符号“ int __cdeclcv :: waitKey（int）“（？waitKey @ cv @@ YAHH @ Z）在函数_main中引用2> SVM.obj：错误LNK2019：未解决的外部符号“ void __cdeclcv :: imshow（class std :: basic_string，class std :: allocator> const＆，classcv :: _ InputArray const＆）“（？imshow @ cv @@ YAXABV？$ basic_string @ DU？$ char_traits @ D @ std @@ V？$ allocator @ D @ 2 @@ std @@ ABV_InputArray @ 1 @@ Z）在函数_main 2> SVM.obj中引用：错误LNK2019：未解决外部符号“布尔__cdecl cv :: imwrite（classstd :: basic_string，classstd :: allocator> const＆，class cv :: _ InputArray const＆，classstd :: vector> const＆）“（？imwrite @ cv @@ YA_NABV？$ basic_string @ DU？$ char_traits @ D @ std @@ V？$ allocator @ D @ 2 @@ std @@ ABV_InputArray @ 1 @ ABV？$ vector @ HV？$ allocator @ H @std @@@@ 3 @@ Z）在函数_main 2> SVM.obj中引用：错误LNK2019：未解决外部符号“ public：__thiscall cv :: _ InputArray :: _ InputArray（classcv :: Mat const＆）“（?? 0_InputArray @ cv @@ QAE @ ABVMat @ 1 @@@ Z）中引用函数_main 2> SVM.obj：错误LNK2019：未解析的外部符号“ public：虚拟float const * __thiscallCvSVM :: get_support_vector（int）const“函数_main中引用的（？get_support_vector @ CvSVM @@ UBEPBMH @ Z）2> SVM.obj：错误LNK2019：未解决的外部符号“ public：虚拟int __thiscall CvSVM :: get_support_vector_count（void）const“函数_main中引用的（？get_support_vector_count @ CvSVM @@ UBEHXZ）2> SVM.obj：错误LNK2019：未解决的外部符号“ void _ cdeclcv :: circle（类cv :: Mat＆，类cv :: Point，int，classcv :: Scalar_ const＆，int，int，int）“（？circle @ cv @@ YAXAAVMat @ 1 @ V？$ Point_ @ H @ 1 @ HABV？$ Scalar_ @ N @ 1 @ HHH @ Z）在函数_main 2> SVM.obj中引用：错误LNK2019：未解决外部符号“ public：虚拟浮点数__thiscall CvSVM :: predict（classcv :: Mat const＆，bool）const“（？predict @ CvSVM @@ UBEMABVMat @ cv @@ __ N @ Z）在函数_main 2> SVM.obj中引用：错误LNK2019：未解决外部符号“ public：虚拟布尔__thiscall CvSVM :: train（classcv :: Mat const＆，class cv :: Mat const＆，class cv :: Mat const＆，classcv :: Mat const＆，struct CvSVMParams）”在（？train @ CvSVM @@ UAE_NABVMat @ cv @@ 000UCvSVMParams @@@@ Z）中引用函数_main 2> SVM.obj：错误LNK2019：未解析的外部符号引用了“ public：__thiscall CvSVM :: CvSVM（void）”（?? 0CvSVM @@ QAE @ XZ）在函数_main 2> SVM.obj中：错误LNK2019：无法解析的外部符号“公共：__thiscall CvSVMParams :: CvSVMParams（void）”在函数_main 2> SVM.obj中引用的（0CvSVMParams @@ QAE @ XZ）：错误LNK2019：无法解析的外部符号“ public：静态类cv :: MatExpr __cdecl cv :: Mat :: zeros（int，int，int）“（？zeros @ Mat @ cv @@ SA？AVMatExpr @ 2 @ HHH @ Z）在函数_main中引用了
我拥有WillowGarage上最新的Windows 7完整版本的OpenCV，可在Wiki页面上运行此示例：link。我的编译器是VC ++。
我已经在Google上找到了，但找不到任何工作。
谢谢
对于那些有相同问题的人，请确保您拥有所有正确的链接器输入（配置->链接器->输入），包括诸如opencv，highgui等的dll。
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，在这种情况下，因为它处于发布模式，所以末尾没有d，否则为opencv_flann412d.lib