mirror of https://github.com/opencv/opencv.git
Open Source Computer Vision Library
https://opencv.org/
You can not select more than 25 topics
Topics must start with a letter or number, can include dashes ('-') and can be up to 35 characters long.
90 lines
2.3 KiB
90 lines
2.3 KiB
#include <cmath> |
|
#include <iostream> |
|
|
|
#include "opencv2/core.hpp" |
|
#include <opencv2/core/utility.hpp> |
|
#include "opencv2/highgui.hpp" |
|
#include "opencv2/imgproc.hpp" |
|
#include "opencv2/gpu.hpp" |
|
|
|
using namespace std; |
|
using namespace cv; |
|
using namespace cv::gpu; |
|
|
|
static void help() |
|
{ |
|
cout << "This program demonstrates line finding with the Hough transform." << endl; |
|
cout << "Usage:" << endl; |
|
cout << "./gpu-example-houghlines <image_name>, Default is pic1.png\n" << endl; |
|
} |
|
|
|
int main(int argc, const char* argv[]) |
|
{ |
|
const string filename = argc >= 2 ? argv[1] : "pic1.png"; |
|
|
|
Mat src = imread(filename, IMREAD_GRAYSCALE); |
|
if (src.empty()) |
|
{ |
|
help(); |
|
cout << "can not open " << filename << endl; |
|
return -1; |
|
} |
|
|
|
Mat mask; |
|
Canny(src, mask, 100, 200, 3); |
|
|
|
Mat dst_cpu; |
|
cvtColor(mask, dst_cpu, CV_GRAY2BGR); |
|
Mat dst_gpu = dst_cpu.clone(); |
|
|
|
vector<Vec4i> lines_cpu; |
|
{ |
|
const int64 start = getTickCount(); |
|
|
|
HoughLinesP(mask, lines_cpu, 1, CV_PI / 180, 50, 60, 5); |
|
|
|
const double timeSec = (getTickCount() - start) / getTickFrequency(); |
|
cout << "CPU Time : " << timeSec * 1000 << " ms" << endl; |
|
cout << "CPU Found : " << lines_cpu.size() << endl; |
|
} |
|
|
|
for (size_t i = 0; i < lines_cpu.size(); ++i) |
|
{ |
|
Vec4i l = lines_cpu[i]; |
|
line(dst_cpu, Point(l[0], l[1]), Point(l[2], l[3]), Scalar(0, 0, 255), 3, CV_AA); |
|
} |
|
|
|
GpuMat d_src(mask); |
|
GpuMat d_lines; |
|
HoughLinesBuf d_buf; |
|
{ |
|
const int64 start = getTickCount(); |
|
|
|
gpu::HoughLinesP(d_src, d_lines, d_buf, 1.0f, (float) (CV_PI / 180.0f), 50, 5); |
|
|
|
const double timeSec = (getTickCount() - start) / getTickFrequency(); |
|
cout << "GPU Time : " << timeSec * 1000 << " ms" << endl; |
|
cout << "GPU Found : " << d_lines.cols << endl; |
|
} |
|
vector<Vec4i> lines_gpu; |
|
if (!d_lines.empty()) |
|
{ |
|
lines_gpu.resize(d_lines.cols); |
|
Mat h_lines(1, d_lines.cols, CV_32SC4, &lines_gpu[0]); |
|
d_lines.download(h_lines); |
|
} |
|
|
|
for (size_t i = 0; i < lines_gpu.size(); ++i) |
|
{ |
|
Vec4i l = lines_gpu[i]; |
|
line(dst_gpu, Point(l[0], l[1]), Point(l[2], l[3]), Scalar(0, 0, 255), 3, CV_AA); |
|
} |
|
|
|
imshow("source", src); |
|
imshow("detected lines [CPU]", dst_cpu); |
|
imshow("detected lines [GPU]", dst_gpu); |
|
waitKey(); |
|
|
|
return 0; |
|
} |
|
|
|
|