opencv/samples/gpu/performance/tests.cpp

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#include <opencv2/imgproc/imgproc.hpp>
#include <opencv2/highgui/highgui.hpp>
#include <opencv2/gpu/gpu.hpp>
#include "performance.h"
using namespace std;
using namespace cv;
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INIT(matchTemplate)
{
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Mat src; gen(src, 500, 500, CV_32F, 0, 1);
Mat templ; gen(templ, 500, 500, CV_32F, 0, 1);
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gpu::GpuMat d_src(src), d_templ(templ), d_dst;
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gpu::matchTemplate(d_src, d_templ, d_dst, CV_TM_CCORR);
}
TEST(matchTemplate)
{
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Mat src, templ, dst;
gen(src, 3000, 3000, CV_32F, 0, 1);
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gpu::GpuMat d_src(src), d_templ, d_dst;
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for (int templ_size = 5; templ_size < 200; templ_size *= 5)
{
SUBTEST << "src " << src.rows << ", templ " << templ_size << ", 32F, CCORR";
gen(templ, templ_size, templ_size, CV_32F, 0, 1);
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dst.create(src.rows - templ.rows + 1, src.cols - templ.cols + 1, CV_32F);
CPU_ON;
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matchTemplate(src, templ, dst, CV_TM_CCORR);
CPU_OFF;
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d_templ = templ;
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d_dst.create(d_src.rows - d_templ.rows + 1, d_src.cols - d_templ.cols + 1, CV_32F);
GPU_ON;
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gpu::matchTemplate(d_src, d_templ, d_dst, CV_TM_CCORR);
GPU_OFF;
}
}
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TEST(minMaxLoc)
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{
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 << "src " << size << ", 32F, no mask";
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gen(src, size, size, CV_32F, 0, 1);
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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 << "src " << size << " and 8UC1, 32FC1 maps";
gen(src, size, size, CV_8UC1, 0, 256);
gen(xmap, size, size, CV_32F, 0, size);
gen(ymap, size, size, CV_32F, 0, size);
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dst.create(xmap.size(), src.type());
CPU_ON;
remap(src, dst, xmap, ymap, INTER_LINEAR);
CPU_OFF;
d_src = src;
d_xmap = xmap;
d_ymap = ymap;
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d_dst.create(d_xmap.size(), d_src.type());
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;
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for (int size = 1000; size <= 4000; size *= 2)
{
SUBTEST << "size " << size << ", 32FC2, complex-to-complex";
gen(src, size, size, CV_32FC2, Scalar::all(0), Scalar::all(1));
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dst.create(src.size(), src.type());
CPU_ON;
dft(src, dst);
CPU_OFF;
d_src = src;
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d_dst.create(d_src.size(), d_src.type());
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_32F, 0, 1);
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dst.create(src.size(), src.type());
CPU_ON;
cornerHarris(src, dst, 5, 7, 0.1, BORDER_REFLECT101);
CPU_OFF;
d_src = src;
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d_dst.create(src.size(), src.type());
GPU_ON;
gpu::cornerHarris(d_src, d_dst, 5, 7, 0.1);
GPU_OFF;
}
}
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TEST(integral)
{
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Mat src, sum;
gpu::GpuMat d_src, d_sum;
for (int size = 1000; size <= 8000; size *= 2)
{
SUBTEST << "size " << size << ", 8U";
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gen(src, size, size, CV_8U, 0, 256);
sum.create(size + 1, size + 1, CV_32S);
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CPU_ON;
integral(src, sum);
CPU_OFF;
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d_src = src;
d_sum.create(size + 1, size + 1, CV_32S);
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GPU_ON;
gpu::integral(d_src, d_sum);
GPU_OFF;
}
}
TEST(norm)
{
Mat src;
gpu::GpuMat d_src;
for (int size = 1000; size <= 8000; size *= 2)
{
SUBTEST << "size " << size << ", 8U";
gen(src, size, size, CV_8U, 0, 256);
CPU_ON;
norm(src);
CPU_OFF;
d_src = src;
GPU_ON;
gpu::norm(d_src);
GPU_OFF;
}
}