在opencv中实现基于GPU_SURF的实时相机时出错

发布于 2024-11-27 06:32:34 字数 3327 浏览 1 评论 0原文

由于 opencv 中基于 CPU 的 SURF 对于实时应用程序来说非常慢,我们决定使用 GPU_SURF,在设置 opencv_gpu 后,我们编写了以下代码:

#include <iostream>
#include <iomanip>
#include <windows.h>
#include "opencv2/contrib/contrib.hpp"
#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/gpu/gpu.hpp"
#include "opencv2/core/core.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/core/types_c.h"

using namespace std;
using namespace cv;
using namespace cv::gpu;

void help()
{
cout << "\nThis program demonstrates using SURF_GPU features detector, descriptor extractor and BruteForceMatcher_GPU" << endl;
cout << "\nUsage:\n\tmatcher_simple_gpu <image1> <image2>" << endl;
}

int main(int argc, char* argv[])
{

GpuMat img1(imread("C:\\OpenCV2.3\\opencv2.3\\bin\\Debug\\tsucuba_left.png", CV_LOAD_IMAGE_GRAYSCALE));
SURF_GPU surf;
// detecting keypoints & computing descriptors
GpuMat keypoints1GPU, keypoints2GPU;
GpuMat descriptors1GPU, descriptors2GPU;
surf(img1, GpuMat(), keypoints1GPU, descriptors1GPU);

cout << "FOUND " << keypoints1GPU.cols << " keypoints on first image" << endl;
//cout << "FOUND " << keypoints2GPU.cols << " keypoints on second image" << endl;

CvCapture* capture = cvCreateCameraCapture(0);
int frame_width = (int) cvGetCaptureProperty(capture, CV_CAP_PROP_FRAME_WIDTH);
int frame_height = (int) cvGetCaptureProperty(capture, CV_CAP_PROP_FRAME_HEIGHT);
cout<<"frames done\n";
cv::gpu::GpuMat frame_gpu = cv::gpu::GpuMat(frame_width, frame_height, CV_8UC3);
cv::gpu::GpuMat frame_gpu_cvt = cv::gpu::GpuMat(frame_width, frame_height, CV_8UC1);
cout<<"gpu frmes loaded\n";
//Sleep(200);
while(cvGrabFrame(capture))
{

IplImage* frame;
frame =cvQueryFrame(capture);
CvMat* image=0;
image = cvCreateMat(frame->height, frame->width, CV_8UC1);
frame_gpu.upload(image);
cout<<"frame uploaded\n";
cvtColor(frame_gpu,frame_gpu_cvt,CV_RGB2GRAY);
cout<<"color done\n";
surf(frame_gpu_cvt, GpuMat(), keypoints2GPU, descriptors2GPU);

// matching descriptors
BruteForceMatcher_GPU< L2<float> > matcher;
GpuMat trainIdx, distance;
matcher.matchSingle(descriptors1GPU, descriptors2GPU, trainIdx, distance);

// downloading results
vector<KeyPoint> keypoints1, keypoints2;
vector<float> descriptors1, descriptors2;
vector<DMatch> matches;
surf.downloadKeypoints(keypoints1GPU, keypoints1);
surf.downloadKeypoints(keypoints2GPU, keypoints2);
surf.downloadDescriptors(descriptors1GPU, descriptors1);
surf.downloadDescriptors(descriptors2GPU, descriptors2);
BruteForceMatcher_GPU< L2<float> >::matchDownload(trainIdx, distance, matches);

// drawing the results
Mat img_matches;
drawMatches(img1, keypoints1, frame_gpu, keypoints2, matches, img_matches);

namedWindow("matches", 0);
imshow("matches", img_matches);

//waitKey(0);
}
return 0;
}

执行它时出现的错误是:

OpenCV Error: Assertion failed (scn == 3 || scn == 4) in unknown function, file
..\..\..\opencv_2.3\opencv\modules\gpu\src\color.cpp, line 186

这是由于以下行:

cvtColor(frame_gpu,frame_gpu_cvt,CV_RGB2GRAY);

可能还有其他错误,有人可以帮助我们解决这个问题吗?

As the CPU based SURF in opencv was very slow for realtime application, we decided to use GPU_SURF, after setting up the opencv_gpu we made the following code:

#include <iostream>
#include <iomanip>
#include <windows.h>
#include "opencv2/contrib/contrib.hpp"
#include "opencv2/objdetect/objdetect.hpp"
#include "opencv2/highgui/highgui.hpp"
#include "opencv2/imgproc/imgproc.hpp"
#include "opencv2/gpu/gpu.hpp"
#include "opencv2/core/core.hpp"
#include "opencv2/features2d/features2d.hpp"
#include "opencv2/core/types_c.h"

using namespace std;
using namespace cv;
using namespace cv::gpu;

void help()
{
cout << "\nThis program demonstrates using SURF_GPU features detector, descriptor extractor and BruteForceMatcher_GPU" << endl;
cout << "\nUsage:\n\tmatcher_simple_gpu <image1> <image2>" << endl;
}

int main(int argc, char* argv[])
{

GpuMat img1(imread("C:\\OpenCV2.3\\opencv2.3\\bin\\Debug\\tsucuba_left.png", CV_LOAD_IMAGE_GRAYSCALE));
SURF_GPU surf;
// detecting keypoints & computing descriptors
GpuMat keypoints1GPU, keypoints2GPU;
GpuMat descriptors1GPU, descriptors2GPU;
surf(img1, GpuMat(), keypoints1GPU, descriptors1GPU);

cout << "FOUND " << keypoints1GPU.cols << " keypoints on first image" << endl;
//cout << "FOUND " << keypoints2GPU.cols << " keypoints on second image" << endl;

CvCapture* capture = cvCreateCameraCapture(0);
int frame_width = (int) cvGetCaptureProperty(capture, CV_CAP_PROP_FRAME_WIDTH);
int frame_height = (int) cvGetCaptureProperty(capture, CV_CAP_PROP_FRAME_HEIGHT);
cout<<"frames done\n";
cv::gpu::GpuMat frame_gpu = cv::gpu::GpuMat(frame_width, frame_height, CV_8UC3);
cv::gpu::GpuMat frame_gpu_cvt = cv::gpu::GpuMat(frame_width, frame_height, CV_8UC1);
cout<<"gpu frmes loaded\n";
//Sleep(200);
while(cvGrabFrame(capture))
{

IplImage* frame;
frame =cvQueryFrame(capture);
CvMat* image=0;
image = cvCreateMat(frame->height, frame->width, CV_8UC1);
frame_gpu.upload(image);
cout<<"frame uploaded\n";
cvtColor(frame_gpu,frame_gpu_cvt,CV_RGB2GRAY);
cout<<"color done\n";
surf(frame_gpu_cvt, GpuMat(), keypoints2GPU, descriptors2GPU);

// matching descriptors
BruteForceMatcher_GPU< L2<float> > matcher;
GpuMat trainIdx, distance;
matcher.matchSingle(descriptors1GPU, descriptors2GPU, trainIdx, distance);

// downloading results
vector<KeyPoint> keypoints1, keypoints2;
vector<float> descriptors1, descriptors2;
vector<DMatch> matches;
surf.downloadKeypoints(keypoints1GPU, keypoints1);
surf.downloadKeypoints(keypoints2GPU, keypoints2);
surf.downloadDescriptors(descriptors1GPU, descriptors1);
surf.downloadDescriptors(descriptors2GPU, descriptors2);
BruteForceMatcher_GPU< L2<float> >::matchDownload(trainIdx, distance, matches);

// drawing the results
Mat img_matches;
drawMatches(img1, keypoints1, frame_gpu, keypoints2, matches, img_matches);

namedWindow("matches", 0);
imshow("matches", img_matches);

//waitKey(0);
}
return 0;
}

The error that comes on executing it is:

OpenCV Error: Assertion failed (scn == 3 || scn == 4) in unknown function, file
..\..\..\opencv_2.3\opencv\modules\gpu\src\color.cpp, line 186

It is due to the line:

cvtColor(frame_gpu,frame_gpu_cvt,CV_RGB2GRAY);

There maybe other errors, can someone please help us out on this one.

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方觉久 2024-12-04 06:32:34

scncvtColor 第一个参数中的通道数。从 RGB 转换为 GREY 要求第一个参数具有三个或四个通道。 frame_gpu.upload(image); 行正在将 frame_gpu 转换为一个通道,因为 image 有一个通道。看来您可以跳过对 cvtColor 的调用,而直接在 frame_gpu 上调用 SURF

scn is the number of channels in the first argument to cvtColor. Converting from RGB to GRAY requires that the first argument has three or four channels. The line frame_gpu.upload(image); is converting frame_gpu to one channel since image has one channel. It looks like you can skip the call to cvtColor and just call SURF directly on frame_gpu.

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