有 OpenCV 专家吗？ 我对 OpenCV 有点陌生。我想运行 ocl 文件夹下的 hog.cpp。我在 MSVC++9.0 中编译文件时出错
1>------ Build started: Project: hog_ocl, Configuration: Debug Win32 ------
1>Linking...
1>hog.obj : error LNK2019: unresolved external symbol "public: void __thiscall cv::ocl::HOGDescriptor::detectMultiScale(class cv::ocl::oclMat const &,class std::vector<class cv::Rect_<int>,class std::allocator<class cv::Rect_<int> > > &,double,class cv::Size_<int>,class cv::Size_<int>,double,int)" (?detectMultiScale@HOGDescriptor@ocl@cv@@QAEXABVoclMat@23@AAV?$vector@V?$Rect_@H@cv@@V?$allocator@V?$Rect_@H@cv@@@std@@@std@@NV?$Size_@H@3@2NH@Z) referenced in function "public: void __thiscall App::run(void)" (?run@App@@QAEXXZ)
1>hog.obj : error LNK2019: unresolved external symbol "public: void __thiscall cv::ocl::oclMat::upload(class cv::Mat const &)" (?upload@oclMat@ocl@cv@@QAEXABVMat@3@@Z) referenced in function "public: void __thiscall App::run(void)" (?run@App@@QAEXXZ)
1>hog.obj : error LNK2019: unresolved external symbol "public: void __thiscall cv::ocl::HOGDescriptor::setSVMDetector(class std::vector<float,class std::allocator<float> > const &)" (?setSVMDetector@HOGDescriptor@ocl@cv@@QAEXABV?$vector@MV?$allocator@M@std@@@std@@@Z) referenced in function "public: void __thiscall App::run(void)" (?run@App@@QAEXXZ)
1>hog.obj : error LNK2019: unresolved external symbol "public: __thiscall cv::ocl::HOGDescriptor::HOGDescriptor(class cv::Size_<int>,class cv::Size_<int>,class cv::Size_<int>,class cv::Size_<int>,int,double,double,bool,int)" (??0HOGDescriptor@ocl@cv@@QAE@V?$Size_@H@2@000HNN_NH@Z) referenced in function "public: void __thiscall App::run(void)" (?run@App@@QAEXXZ)
1>hog.obj : error LNK2019: unresolved external symbol "public: static class std::vector<float,class std::allocator<float> > __cdecl cv::ocl::HOGDescriptor::getPeopleDetector48x96(void)" (?getPeopleDetector48x96@HOGDescriptor@ocl@cv@@SA?AV?$vector@MV?$allocator@M@std@@@std@@XZ) referenced in function "public: void __thiscall App::run(void)" (?run@App@@QAEXXZ)
1>hog.obj : error LNK2019: unresolved external symbol "public: static class std::vector<float,class std::allocator<float> > __cdecl cv::ocl::HOGDescriptor::getPeopleDetector64x128(void)" (?getPeopleDetector64x128@HOGDescriptor@ocl@cv@@SA?AV?$vector@MV?$allocator@M@std@@@std@@XZ) referenced in function "public: void __thiscall App::run(void)" (?run@App@@QAEXXZ)
1>hog.obj : error LNK2019: unresolved external symbol "int __cdecl cv::ocl::getDevice(class std::vector<class cv::ocl::Info,class std::allocator<class cv::ocl::Info> > &,int)" (?getDevice@ocl@cv@@YAHAAV?$vector@VInfo@ocl@cv@@V?$allocator@VInfo@ocl@cv@@@std@@@std@@H@Z) referenced in function "public: void __thiscall App::run(void)" (?run@App@@QAEXXZ)
1>hog.obj : error LNK2019: unresolved external symbol "public: void __thiscall cv::ocl::oclMat::release(void)" (?release@oclMat@ocl@cv@@QAEXXZ) referenced in function "public: __thiscall cv::ocl::oclMat::~oclMat(void)" (??1oclMat@ocl@cv@@QAE@XZ)
1>hog.obj : error LNK2019: unresolved external symbol "public: __thiscall cv::ocl::Info::~Info(void)" (??1Info@ocl@cv@@QAE@XZ) referenced in function "public: void * __thiscall cv::ocl::Info::`scalar deleting destructor'(unsigned int)" (??_GInfo@ocl@cv@@QAEPAXI@Z)
1>C:\Users\CT\Documents\Visual Studio 2008\Projects\hog_ocl\Debug\hog_ocl.exe : fatal error LNK1120: 9 unresolved externals
1>Build log was saved at "file://c:\Users\CT\Documents\Visual Studio 2008\Projects\hog_ocl\hog_ocl\Debug\BuildLog.htm"
1>hog_ocl - 10 error(s), 0 warning(s)
========== Build: 0 succeeded, 1 failed, 0 up-to-date, 0 skipped ==========
起初，我在 project->config 中包含了 C:\opencv\build\x86\vc9\lib 中的所有库。属性 -> 链接器 -> 输入。
不幸的是它没有用。因此，通过尝试我排除了那些没有最小化错误计数并达到以下列表的库
opencv_imgproc244.lib
opencv_highgui244.lib
opencv_core244.lib
opencv_objdetect244.lib
还是不行。我想知道我是否从错误的示例开始，对我来说太高级了？
添加。信息: 我按照安装 OpenCV 的手册进行操作，甚至重建了库。希望我的程序是正确的。
代码(OpenCV 2.4.4):
#include <iostream>
#include <fstream>
#include <string>
#include <sstream>
#include <iomanip>
#include <stdexcept>
#include "opencv2/ocl/ocl.hpp"
#include "opencv2/highgui/highgui.hpp"
using namespace std;
using namespace cv;
bool help_showed = false;
class Args
{
public:
Args();
static Args read(int argc, char** argv);
string src;
bool src_is_video;
bool src_is_camera;
int camera_id;
bool write_video;
string dst_video;
double dst_video_fps;
bool make_gray;
bool resize_src;
int width, height;
double scale;
int nlevels;
int gr_threshold;
double hit_threshold;
bool hit_threshold_auto;
int win_width;
int win_stride_width, win_stride_height;
bool gamma_corr;
};
class App
{
public:
App(const Args& s);
void run();
void handleKey(char key);
void hogWorkBegin();
void hogWorkEnd();
string hogWorkFps() const;
void workBegin();
void workEnd();
string workFps() const;
string message() const;
private:
App operator=(App&);
Args args;
bool running;
bool use_gpu;
bool make_gray;
double scale;
int gr_threshold;
int nlevels;
double hit_threshold;
bool gamma_corr;
int64 hog_work_begin;
double hog_work_fps;
int64 work_begin;
double work_fps;
};
static void printHelp()
{
cout << "Histogram of Oriented Gradients descriptor and detector sample.\n"
<< "\nUsage: hog_gpu\n"
<< " (<image>|--video <vide>|--camera <camera_id>) # frames source\n"
<< " [--make_gray <true/false>] # convert image to gray one or not\n"
<< " [--resize_src <true/false>] # do resize of the source image or not\n"
<< " [--width <int>] # resized image width\n"
<< " [--height <int>] # resized image height\n"
<< " [--hit_threshold <double>] # classifying plane distance threshold (0.0 usually)\n"
<< " [--scale <double>] # HOG window scale factor\n"
<< " [--nlevels <int>] # max number of HOG window scales\n"
<< " [--win_width <int>] # width of the window (48 or 64)\n"
<< " [--win_stride_width <int>] # distance by OX axis between neighbour wins\n"
<< " [--win_stride_height <int>] # distance by OY axis between neighbour wins\n"
<< " [--gr_threshold <int>] # merging similar rects constant\n"
<< " [--gamma_correct <int>] # do gamma correction or not\n"
<< " [--write_video <bool>] # write video or not\n"
<< " [--dst_video <path>] # output video path\n"
<< " [--dst_video_fps <double>] # output video fps\n";
help_showed = true;
}
int main(int argc, char** argv)
{
try
{
if (argc < 2)
printHelp();
Args args = Args::read(argc, argv);
if (help_showed)
return -1;
App app(args);
app.run();
}
catch (const Exception& e) { return cout << "error: " << e.what() << endl, 1; }
catch (const exception& e) { return cout << "error: " << e.what() << endl, 1; }
catch(...) { return cout << "unknown exception" << endl, 1; }
return 0;
}
Args::Args()
{
src_is_video = false;
src_is_camera = false;
camera_id = 0;
write_video = false;
dst_video_fps = 24.;
make_gray = false;
resize_src = false;
width = 640;
height = 480;
scale = 1.05;
nlevels = 13;
gr_threshold = 8;
hit_threshold = 1.4;
hit_threshold_auto = true;
win_width = 48;
win_stride_width = 8;
win_stride_height = 8;
gamma_corr = true;
}
Args Args::read(int argc, char** argv)
{
Args args;
for (int i = 1; i < argc; i++)
{
if (string(argv[i]) == "--make_gray") args.make_gray = (string(argv[++i]) == "true");
else if (string(argv[i]) == "--resize_src") args.resize_src = (string(argv[++i]) == "true");
else if (string(argv[i]) == "--width") args.width = atoi(argv[++i]);
else if (string(argv[i]) == "--height") args.height = atoi(argv[++i]);
else if (string(argv[i]) == "--hit_threshold")
{
args.hit_threshold = atof(argv[++i]);
args.hit_threshold_auto = false;
}
else if (string(argv[i]) == "--scale") args.scale = atof(argv[++i]);
else if (string(argv[i]) == "--nlevels") args.nlevels = atoi(argv[++i]);
else if (string(argv[i]) == "--win_width") args.win_width = atoi(argv[++i]);
else if (string(argv[i]) == "--win_stride_width") args.win_stride_width = atoi(argv[++i]);
else if (string(argv[i]) == "--win_stride_height") args.win_stride_height = atoi(argv[++i]);
else if (string(argv[i]) == "--gr_threshold") args.gr_threshold = atoi(argv[++i]);
else if (string(argv[i]) == "--gamma_correct") args.gamma_corr = (string(argv[++i]) == "true");
else if (string(argv[i]) == "--write_video") args.write_video = (string(argv[++i]) == "true");
else if (string(argv[i]) == "--dst_video") args.dst_video = argv[++i];
else if (string(argv[i]) == "--dst_video_fps") args.dst_video_fps = atof(argv[++i]);
else if (string(argv[i]) == "--help") printHelp();
else if (string(argv[i]) == "--video") { args.src = argv[++i]; args.src_is_video = true; }
else if (string(argv[i]) == "--camera") { args.camera_id = atoi(argv[++i]); args.src_is_camera = true; }
else if (args.src.empty()) args.src = argv[i];
else throw runtime_error((string("unknown key: ") + argv[i]));
}
return args;
}
App::App(const Args& s)
{
args = s;
cout << "\nControls:\n"
<< "\tESC - exit\n"
<< "\tm - change mode GPU <-> CPU\n"
<< "\tg - convert image to gray or not\n"
<< "\t1/q - increase/decrease HOG scale\n"
<< "\t2/w - increase/decrease levels count\n"
<< "\t3/e - increase/decrease HOG group threshold\n"
<< "\t4/r - increase/decrease hit threshold\n"
<< endl;
use_gpu = true;
make_gray = args.make_gray;
scale = args.scale;
gr_threshold = args.gr_threshold;
nlevels = args.nlevels;
if (args.hit_threshold_auto)
args.hit_threshold = args.win_width == 48 ? 1.4 : 0.;
hit_threshold = args.hit_threshold;
gamma_corr = args.gamma_corr;
if (args.win_width != 64 && args.win_width != 48)
args.win_width = 64;
cout << "Scale: " << scale << endl;
if (args.resize_src)
cout << "Resized source: (" << args.width << ", " << args.height << ")\n";
cout << "Group threshold: " << gr_threshold << endl;
cout << "Levels number: " << nlevels << endl;
cout << "Win width: " << args.win_width << endl;
cout << "Win stride: (" << args.win_stride_width << ", " << args.win_stride_height << ")\n";
cout << "Hit threshold: " << hit_threshold << endl;
cout << "Gamma correction: " << gamma_corr << endl;
cout << endl;
}
void App::run()
{
std::vector<ocl::Info> oclinfo;
ocl::getDevice(oclinfo);
running = true;
cv::VideoWriter video_writer;
Size win_size(args.win_width, args.win_width * 2); //(64, 128) or (48, 96)
Size win_stride(args.win_stride_width, args.win_stride_height);
// Create HOG descriptors and detectors here
vector<float> detector;
if (win_size == Size(64, 128))
detector = cv::ocl::HOGDescriptor::getPeopleDetector64x128();
else
detector = cv::ocl::HOGDescriptor::getPeopleDetector48x96();
cv::ocl::HOGDescriptor gpu_hog(win_size, Size(16, 16), Size(8, 8), Size(8, 8), 9,
cv::ocl::HOGDescriptor::DEFAULT_WIN_SIGMA, 0.2, gamma_corr,
cv::ocl::HOGDescriptor::DEFAULT_NLEVELS);
cv::HOGDescriptor cpu_hog(win_size, Size(16, 16), Size(8, 8), Size(8, 8), 9, 1, -1,
HOGDescriptor::L2Hys, 0.2, gamma_corr, cv::HOGDescriptor::DEFAULT_NLEVELS);
gpu_hog.setSVMDetector(detector);
cpu_hog.setSVMDetector(detector);
while (running)
{
VideoCapture vc;
Mat frame;
if (args.src_is_video)
{
vc.open(args.src.c_str());
if (!vc.isOpened())
throw runtime_error(string("can't open video file: " + args.src));
vc >> frame;
}
else if (args.src_is_camera)
{
vc.open(args.camera_id);
if (!vc.isOpened())
{
stringstream msg;
msg << "can't open camera: " << args.camera_id;
throw runtime_error(msg.str());
}
vc >> frame;
}
else
{
frame = imread(args.src);
if (frame.empty())
throw runtime_error(string("can't open image file: " + args.src));
}
Mat img_aux, img, img_to_show;
ocl::oclMat gpu_img;
// Iterate over all frames
while (running && !frame.empty())
{
workBegin();
// Change format of the image
if (make_gray) cvtColor(frame, img_aux, CV_BGR2GRAY);
else if (use_gpu) cvtColor(frame, img_aux, CV_BGR2BGRA);
else frame.copyTo(img_aux);
// Resize image
if (args.resize_src) resize(img_aux, img, Size(args.width, args.height));
else img = img_aux;
img_to_show = img;
gpu_hog.nlevels = nlevels;
cpu_hog.nlevels = nlevels;
vector<Rect> found;
// Perform HOG classification
hogWorkBegin();
if (use_gpu)
{
gpu_img.upload(img);
gpu_hog.detectMultiScale(gpu_img, found, hit_threshold, win_stride,
Size(0, 0), scale, gr_threshold);
}
else cpu_hog.detectMultiScale(img, found, hit_threshold, win_stride,
Size(0, 0), scale, gr_threshold);
hogWorkEnd();
// Draw positive classified windows
for (size_t i = 0; i < found.size(); i++)
{
Rect r = found[i];
rectangle(img_to_show, r.tl(), r.br(), CV_RGB(0, 255, 0), 3);
}
if (use_gpu)
putText(img_to_show, "Mode: GPU", Point(5, 25), FONT_HERSHEY_SIMPLEX, 1., Scalar(255, 100, 0), 2);
else
putText(img_to_show, "Mode: CPU", Point(5, 25), FONT_HERSHEY_SIMPLEX, 1., Scalar(255, 100, 0), 2);
putText(img_to_show, "FPS (HOG only): " + hogWorkFps(), Point(5, 65), FONT_HERSHEY_SIMPLEX, 1., Scalar(255, 100, 0), 2);
putText(img_to_show, "FPS (total): " + workFps(), Point(5, 105), FONT_HERSHEY_SIMPLEX, 1., Scalar(255, 100, 0), 2);
imshow("opencv_gpu_hog", img_to_show);
if (args.src_is_video || args.src_is_camera) vc >> frame;
workEnd();
if (args.write_video)
{
if (!video_writer.isOpened())
{
video_writer.open(args.dst_video, CV_FOURCC('x','v','i','d'), args.dst_video_fps,
img_to_show.size(), true);
if (!video_writer.isOpened())
throw std::runtime_error("can't create video writer");
}
if (make_gray) cvtColor(img_to_show, img, CV_GRAY2BGR);
else cvtColor(img_to_show, img, CV_BGRA2BGR);
video_writer << img;
}
handleKey((char)waitKey(3));
}
}
}
void App::handleKey(char key)
{
switch (key)
{
case 27:
running = false;
break;
case 'm':
case 'M':
use_gpu = !use_gpu;
cout << "Switched to " << (use_gpu ? "CUDA" : "CPU") << " mode\n";
break;
case 'g':
case 'G':
make_gray = !make_gray;
cout << "Convert image to gray: " << (make_gray ? "YES" : "NO") << endl;
break;
case '1':
scale *= 1.05;
cout << "Scale: " << scale << endl;
break;
case 'q':
case 'Q':
scale /= 1.05;
cout << "Scale: " << scale << endl;
break;
case '2':
nlevels++;
cout << "Levels number: " << nlevels << endl;
break;
case 'w':
case 'W':
nlevels = max(nlevels - 1, 1);
cout << "Levels number: " << nlevels << endl;
break;
case '3':
gr_threshold++;
cout << "Group threshold: " << gr_threshold << endl;
break;
case 'e':
case 'E':
gr_threshold = max(0, gr_threshold - 1);
cout << "Group threshold: " << gr_threshold << endl;
break;
case '4':
hit_threshold+=0.25;
cout << "Hit threshold: " << hit_threshold << endl;
break;
case 'r':
case 'R':
hit_threshold = max(0.0, hit_threshold - 0.25);
cout << "Hit threshold: " << hit_threshold << endl;
break;
case 'c':
case 'C':
gamma_corr = !gamma_corr;
cout << "Gamma correction: " << gamma_corr << endl;
break;
}
}
inline void App::hogWorkBegin() { hog_work_begin = getTickCount(); }
inline void App::hogWorkEnd()
{
int64 delta = getTickCount() - hog_work_begin;
double freq = getTickFrequency();
hog_work_fps = freq / delta;
}
inline string App::hogWorkFps() const
{
stringstream ss;
ss << hog_work_fps;
return ss.str();
}
inline void App::workBegin() { work_begin = getTickCount(); }
inline void App::workEnd()
{
int64 delta = getTickCount() - work_begin;
double freq = getTickFrequency();
work_fps = freq / delta;
}
inline string App::workFps() const
{
stringstream ss;
ss << work_fps;
return ss.str();
}
最佳答案
事实证明，运行此代码需要库 opencv_ocl.lib，ocl 文件夹下的其他示例也是如此。 OpenCV 必须使用 CMake 和 C 编译器(我使用的是 MSVC 2010)在您的设备上构建。经过几天和长时间的尝试在 OCL 和 GPU 上构建/重建和读取，我成功地构建了它。我只是想知道为什么它不能像其他库一样预先构建并包含在包中，是因为硬件依赖性吗？
但是，这是 ocl\hog.cpp 所需的库列表:
opencv_imgproc245.lib
opencv_highgui245.lib
opencv_core245.lib
opencv_objdetect245.lib
opencv_ocl245.lib
使用最新的 OpenCV 2.4.5。
关于c++ - 运行 OpenCV HOG 样本，我们在Stack Overflow上找到一个类似的问题： https://stackoverflow.com/questions/15902743/