Open Source Computer Vision Library https://opencv.org/
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#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/gpu/gpu.hpp>
#include "performance.h"
using namespace std;
using namespace cv;
TEST(matchTemplate)
{
Mat image, templ, result;
gen(image, 3000, 3000, CV_32F);
gpu::GpuMat d_image(image), d_templ, d_result;
for (int templ_size = 5; templ_size <= 1000; templ_size *= 2)
{
SUBTEST << "img " << image.rows << ", templ " << templ_size << ", 32F, CCORR";
gen(templ, templ_size, templ_size, CV_32F);
CPU_ON;
matchTemplate(image, templ, result, CV_TM_CCORR);
CPU_OFF;
d_templ = templ;
GPU_ON;
gpu::matchTemplate(d_image, d_templ, d_result, CV_TM_CCORR);
GPU_OFF;
}
}
TEST(minMaxLoc)
{
Mat src;
gpu::GpuMat d_src;
double min_val, max_val;
Point min_loc, max_loc;
for (int size = 2000; size <= 8000; size *= 2)
{
SUBTEST << "img " << size << ", 32F, no mask";
gen(src, size, size, CV_32F);
CPU_ON;
minMaxLoc(src, &min_val, &max_val, &min_loc, &max_loc);
CPU_OFF;
d_src = src;
GPU_ON;
gpu::minMaxLoc(d_src, &min_val, &max_val, &min_loc, &max_loc);
GPU_OFF;
}
}
TEST(remap)
{
Mat src, dst, xmap, ymap;
gpu::GpuMat d_src, d_dst, d_xmap, d_ymap;
for (int size = 1000; size <= 8000; size *= 2)
{
SUBTEST << "img " << size << " and 8UC1, 32FC1 maps";
gen(src, size, size, CV_8UC1);
gen(xmap, size, size, CV_32FC1, 0, size);
gen(ymap, size, size, CV_32FC1, 0, size);
CPU_ON;
remap(src, dst, xmap, ymap, INTER_LINEAR);
CPU_OFF;
d_src = src;
d_xmap = xmap;
d_ymap = ymap;
GPU_ON;
gpu::remap(d_src, d_dst, d_xmap, d_ymap);
GPU_OFF;
}
}
TEST(dft)
{
Mat src, dst;
gpu::GpuMat d_src, d_dst;
for (int size = 1000; size <= 4000; size += 1000)
{
SUBTEST << "size " << size << ", 32FC2, complex-to-complex";
gen(src, size, size, CV_32FC2);
CPU_ON;
dft(src, dst);
CPU_OFF;
d_src = src;
GPU_ON;
gpu::dft(d_src, d_dst, Size(size, size));
GPU_OFF;
}
}
TEST(cornerHarris)
{
Mat src, dst;
gpu::GpuMat d_src, d_dst;
for (int size = 2000; size <= 4000; size *= 2)
{
SUBTEST << "size " << size << ", 32FC1";
gen(src, size, size, CV_32FC1);
CPU_ON;
cornerHarris(src, dst, 5, 7, 0.1, BORDER_REFLECT101);
CPU_OFF;
d_src = src;
GPU_ON;
gpu::cornerHarris(d_src, d_dst, 5, 7, 0.1);
GPU_OFF;
}
}
TEST(memoryAllocation)
{
Mat mat;
gpu::GpuMat d_mat;
int begin = 100, end = 8000, step = 100;
DESCRIPTION << "32F matrices from " << begin << " to " << end;
CPU_ON;
for (int size = begin; size <= end; size += step)
mat.create(size, size, CV_32FC1);
CPU_OFF;
GPU_ON;
for (int size = begin; size <= end; size += step)
d_mat.create(size, size, CV_32FC1);
GPU_OFF;
}