所有 .h 和 .cpp 都来自http://code.google.com/p/asmlib-opencv/。
我正在尝试使用他的 demo/main.cpp 并且我已经包含了所有需要的 .h 问题是 main.cpp 中的每个函数都有“多个定义”。我已经搜索了该项目，但在其他任何地方都没有定义它们。.h 由#ifndef/#define 保护。我查看了它们是否在其他任何地方定义，我搜索了是否有一些文件被多次包含。
我在 Win7 中使用 Qt 4.74 和 Mingw 4.8.1
错误/警告
D:\Ptixiaki\test\QtTest\ASMLIBDEMO\Makefile.Debug:197：警告：覆盖 >target
debug/main.o' D:\Ptixiaki\test\QtTest\ASMLIBDEMO\Makefile.Debug:147: warning: ignoring old commands for >targetdebug/main.o' 的命令D:\Ptixiaki\test\QtTest\ASMLIBDEMO\debug\main.o:-1: 在函数
Z13buildASMModelRN9StatModel8ASMModelESsSsSs': c:\OpenCV2.3.1\QtBuild\install\include\opencv2\core\mat.hpp:58: multiple definition ofbuildASMModel(StatModel::ASMModel&, std::string, std::string, std::string)' D:\Ptixiaki\ test\QtTest\ASMLIBDEMO\main.cpp:24: error: first defined hereD:\Ptixiaki\test\QtTest\ASMLIBDEMO\debug\main.o:-1: 在函数
Z12readASMModelRN9StatModel8ASMModelESs': D:\Ptixiaki\test\QtTest\ASMLIBDEMO\main.cpp:31: multiple definition ofreadASMModel(StatModel::ASMModel&, std::string)' D:\Ptixiaki\test\QtTest\ASMLIBDEMO\main.cpp: 31：错误：首先在这里定义D:\Ptixiaki\test\QtTest\ASMLIBDEMO\debug\main.o:-1: 在函数
Z12searchAndFitRN9StatModel8ASMModelERN2cv17CascadeClassifierERKSsi': D:\Ptixiaki\test\QtTest\ASMLIBDEMO\main.cpp:40: multiple definition ofsearchAndFit(StatModel::ASMModel&, cv::CascadeClassifier&, std::string const&, int)' D:\Ptixiaki\test\ QtTest\ASMLIBDEMO\main.cpp:40: error: first defined hereD:\Ptixiaki\test\QtTest\ASMLIBDEMO\debug\main.o:-1: 在函数
Z11asmOnWebCamRN9StatModel8ASMModelERN2cv17CascadeClassifierEi': D:\Ptixiaki\test\QtTest\ASMLIBDEMO\main.cpp:64: multiple definition ofasmOnWebCam(StatModel::ASMModel&, cv::CascadeClassifier&, int)' D:\Ptixiaki\test\QtTest\ASMLIBDEMO\main. cpp:64: 错误：首先在这里定义D:\Ptixiaki\test\QtTest\ASMLIBDEMO\debug\main.o:-1: In function
Z8showHelpv': D:\Ptixiaki\test\QtTest\ASMLIBDEMO\main.cpp:93: multiple definition ofshowHelp()' D:\Ptixiaki\test\QtTest\ASMLIBDEMO\main.cpp:93: error: first defined hereD:\Ptixiaki\test\QtTest\ASMLIBDEMO\debug\main.o:-1: In function
main': D:\Ptixiaki\test\QtTest\ASMLIBDEMO\main.cpp:120: multiple definition ofmain' D:\Ptixiaki\test\QtTest\ASMLIBDEMO\main.cpp:120: error: first defined here:-1: 错误: collect2: ld 返回 1 退出状态
代码
// vim: ci:ts=4:sw=4:et
#include "asmmodel.h"
#include "modelfile.h"
#ifdef __GNUG__
#include <unistd.h>
#else
#include "XGetopt.h"
#endif
#include <cstdio>
#include <string>
//#include "highgui.h"
#include "opencv/highgui.h"
using std::string;
using cv::imshow;
using std::cerr;
using std::endl;
using namespace StatModel;
//! Build an ASM model.
void buildASMModel(ASMModel & asmModel,
string shapeDef, string ptsList, string modelPath)
{
asmModel.buildModel(shapeDef, ptsList);
asmModel.saveToFile(modelPath);
}
//! Load an ASM model.
void readASMModel(ASMModel & asmModel, string modelPath)
{
asmModel.loadFromFile(modelPath);
}
//! Run OpenCV object detection and do ASM fitting on each detected object.
void searchAndFit(
ASMModel & asmModel,
cv::CascadeClassifier &objCascadeClassfifier,
const string & picPath,
int verboseL) {
// Load image.
Mat img = cv::imread(picPath);
if (img.empty()) {
cerr << "Load image '" << picPath << "' failed." << endl;
exit(2);
}
// Face detection.
vector< cv::Rect > faces;
objCascadeClassfifier.detectMultiScale(
img, faces,
1.2, 2, CV_HAAR_SCALE_IMAGE, Size(60, 60) );
// Fit to ASM!
vector < ASMFitResult > fitResult = asmModel.fitAll(img, faces, verboseL);
asmModel.showResult(img, fitResult);
cvWaitKey();
}
//! ASM on webcam stream!
void asmOnWebCam(
ASMModel & asmModel,
cv::CascadeClassifier &objCascadeClassfifier,
int verboseL) {
Mat img, imgT;
cv::VideoCapture capture;
capture.open(0);
if (!capture.isOpened()) {
cerr << "Failed to open your webcam." << endl;
exit(2);
}
while (cvWaitKey(5) == -1) {
capture >> imgT;
cv::flip(imgT, img, 1);
vector< cv::Rect > faces;
// Do face detection first.
// Note: ONLY the largest face is processed.
// (otherwise face detection would be too slow)
objCascadeClassfifier.detectMultiScale( img, faces,
1.2, 2, CV_HAAR_FIND_BIGGEST_OBJECT
//|CV_HAAR_DO_ROUGH_SEARCH
|CV_HAAR_SCALE_IMAGE
, Size(60, 60) );
// Fit to ASM!
vector < ASMFitResult > fitResult = asmModel.fitAll(img, faces, verboseL);
asmModel.showResult(img, fitResult);
}
}
void showHelp()
{
cerr << "Arguments: " << endl
<< "===========" << endl
<< "Tasks: " << endl
<< " -b : Build a model!" << endl
<< " -v : View a model." << endl
<< " -f : Fit images to a model." << endl
<< endl
<< "General options:" << endl
<< " -m <path_to_model> : Path to the model file." << endl
<< " -V <number> : Verbose level." << endl
<< endl
<< "Build specific options:" << endl
<< " -d <def_file> : Model definition file, see wiki." << endl
<< " -l <list_file> : List of labelled points, see wiki." << endl
<< endl
<< "Fitting specific options: " << endl
<< " -C <detector_xml> : Face/Object detector XML (OpenCV)." << endl
<< " -p <image> : Path to an image" << endl
<< " -pc : Run on your webcam!" << endl
<< endl
<< "For details and examples, please check: " << endl
<< " http://code.google.com/p/asmlib-opencv/wiki/RunningDemo" << endl
<< endl;
}
int main(int argc, char *argv[])
{
string modelFile, modelType, action;
string ptsDefFile, ptsListFile, picPath;
string faceCascadePath = "haarcascade_frontalface_alt.xml";
int verboseL = 0;
int ch;
opterr = 0;
while ((ch = getopt(argc, argv, "cV:p:C:m:t:d:l:a:vbf?")) != EOF) {
switch (ch) {
// General options:
case 'm':
// The path of model file
modelFile = optarg;
break;
case 'V':
// Verbose level.
verboseL = strlen(optarg);
break;
// Actions:
case 'v':
// View a model.
action = "view";
break;
case 'b':
// Build a model.
action = "build";
break;
case 'f':
// Use the model to fit images.
action = "fit";
break;
// Options related to build a model:
case 'd':
// Points definition file
ptsDefFile = optarg;
break;
case 'l':
// A list of PTS files.
ptsListFile = optarg;
break;
// Options to fit the model to an image:
case 'C':
// Face detector xml
faceCascadePath = optarg;
break;
case 'p':
// Path for the picture to fit
picPath = optarg;
break;
}
}
if (action == "") {
showHelp();
cerr << "!!! You have to specify a task!" << endl << endl;
exit(1);
}
if (modelFile == "") {
showHelp();
cerr << "!!! You have to specify a model file!" << endl << endl;
exit(1);
}
ASMModel asmModel;
if (action == "build") {
if (ptsDefFile == "") {
showHelp();
cerr << "!!! def file is necessary for building a model!" << endl;
exit(1);
}
if (ptsListFile == "") {
showHelp();
cerr << "!!! list file is necessary for building a model!" << endl;
exit(1);
}
buildASMModel(asmModel, ptsDefFile, ptsListFile, modelFile);
} else {
readASMModel(asmModel, modelFile);
if (action == "view") {
asmModel.viewShapeModel();
cvWaitKey();
} else if (action == "fit") {
if (picPath == "") {
showHelp();
cerr << "You need to either specify an image or webcam mode"
<< endl;
exit(1);
}
Mat img, imgT;
cv::CascadeClassifier faceCascade;
if (!faceCascade.load(faceCascadePath)) {
showHelp();
cerr << "Now, a (face) detector is needed. "
<< "Please check the URL above."
<< endl;
exit(1);
}
if (picPath == "c") {
asmOnWebCam(asmModel, faceCascade, verboseL);
} else {
searchAndFit(asmModel, faceCascade, picPath, verboseL);
}
}
}
return 0;
}