Open Source Computer Vision Library https://opencv.org/
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
//
// By downloading, copying, installing or using the software you agree to this license.
// If you do not agree to this license, do not download, install,
// copy or use the software.
//
//
// License Agreement
// For Open Source Computer Vision Library
//
// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
// Third party copyrights are property of their respective owners.
//
// Redistribution and use in source and binary forms, with or without modification,
// are permitted provided that the following conditions are met:
//
// * Redistribution's of source code must retain the above copyright notice,
// this list of conditions and the following disclaimer.
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// indirect, incidental, special, exemplary, or consequential damages
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// loss of use, data, or profits; or business interruption) however caused
// and on any theory of liability, whether in contract, strict liability,
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#include "perf_precomp.hpp"
using namespace std;
using namespace testing;
using namespace perf;
//////////////////////////////////////////////////////////////////////
// StereoBM
typedef std::tr1::tuple<string, string> pair_string;
DEF_PARAM_TEST_1(ImagePair, pair_string);
PERF_TEST_P(ImagePair, StereoBM,
Values(pair_string("gpu/perf/aloe.png", "gpu/perf/aloeR.png")))
{
declare.time(300.0);
const cv::Mat imgLeft = readImage(GET_PARAM(0), cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(imgLeft.empty());
const cv::Mat imgRight = readImage(GET_PARAM(1), cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(imgRight.empty());
const int ndisp = 256;
if (PERF_RUN_GPU())
{
cv::Ptr<cv::StereoBM> d_bm = cv::gpu::createStereoBM(ndisp);
const cv::gpu::GpuMat d_imgLeft(imgLeft);
const cv::gpu::GpuMat d_imgRight(imgRight);
cv::gpu::GpuMat dst;
TEST_CYCLE() d_bm->compute(d_imgLeft, d_imgRight, dst);
GPU_SANITY_CHECK(dst);
}
else
{
cv::Ptr<cv::StereoBM> bm = cv::createStereoBM(ndisp);
cv::Mat dst;
TEST_CYCLE() bm->compute(imgLeft, imgRight, dst);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// StereoBeliefPropagation
PERF_TEST_P(ImagePair, StereoBeliefPropagation,
Values(pair_string("gpu/stereobp/aloe-L.png", "gpu/stereobp/aloe-R.png")))
{
declare.time(300.0);
const cv::Mat imgLeft = readImage(GET_PARAM(0));
ASSERT_FALSE(imgLeft.empty());
const cv::Mat imgRight = readImage(GET_PARAM(1));
ASSERT_FALSE(imgRight.empty());
const int ndisp = 64;
if (PERF_RUN_GPU())
{
cv::Ptr<cv::gpu::StereoBeliefPropagation> d_bp = cv::gpu::createStereoBeliefPropagation(ndisp);
const cv::gpu::GpuMat d_imgLeft(imgLeft);
const cv::gpu::GpuMat d_imgRight(imgRight);
cv::gpu::GpuMat dst;
TEST_CYCLE() d_bp->compute(d_imgLeft, d_imgRight, dst);
GPU_SANITY_CHECK(dst);
}
else
{
FAIL_NO_CPU();
}
}
//////////////////////////////////////////////////////////////////////
// StereoConstantSpaceBP
PERF_TEST_P(ImagePair, StereoConstantSpaceBP,
Values(pair_string("gpu/stereobm/aloe-L.png", "gpu/stereobm/aloe-R.png")))
{
declare.time(300.0);
const cv::Mat imgLeft = readImage(GET_PARAM(0), cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(imgLeft.empty());
const cv::Mat imgRight = readImage(GET_PARAM(1), cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(imgRight.empty());
const int ndisp = 128;
if (PERF_RUN_GPU())
{
cv::Ptr<cv::gpu::StereoConstantSpaceBP> d_csbp = cv::gpu::createStereoConstantSpaceBP(ndisp);
const cv::gpu::GpuMat d_imgLeft(imgLeft);
const cv::gpu::GpuMat d_imgRight(imgRight);
cv::gpu::GpuMat dst;
TEST_CYCLE() d_csbp->compute(d_imgLeft, d_imgRight, dst);
GPU_SANITY_CHECK(dst);
}
else
{
FAIL_NO_CPU();
}
}
//////////////////////////////////////////////////////////////////////
// DisparityBilateralFilter
PERF_TEST_P(ImagePair, DisparityBilateralFilter,
Values(pair_string("gpu/stereobm/aloe-L.png", "gpu/stereobm/aloe-disp.png")))
{
const cv::Mat img = readImage(GET_PARAM(0), cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(img.empty());
const cv::Mat disp = readImage(GET_PARAM(1), cv::IMREAD_GRAYSCALE);
ASSERT_FALSE(disp.empty());
const int ndisp = 128;
if (PERF_RUN_GPU())
{
cv::Ptr<cv::gpu::DisparityBilateralFilter> d_filter = cv::gpu::createDisparityBilateralFilter(ndisp);
const cv::gpu::GpuMat d_img(img);
const cv::gpu::GpuMat d_disp(disp);
cv::gpu::GpuMat dst;
TEST_CYCLE() d_filter->apply(d_disp, d_img, dst);
GPU_SANITY_CHECK(dst);
}
else
{
FAIL_NO_CPU();
}
}
//////////////////////////////////////////////////////////////////////
// ReprojectImageTo3D
PERF_TEST_P(Sz_Depth, ReprojectImageTo3D,
Combine(GPU_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16S)))
{
const cv::Size size = GET_PARAM(0);
const int depth = GET_PARAM(1);
cv::Mat src(size, depth);
declare.in(src, WARMUP_RNG);
cv::Mat Q(4, 4, CV_32FC1);
cv::randu(Q, 0.1, 1.0);
if (PERF_RUN_GPU())
{
const cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat dst;
TEST_CYCLE() cv::gpu::reprojectImageTo3D(d_src, dst, Q);
GPU_SANITY_CHECK(dst);
}
else
{
cv::Mat dst;
TEST_CYCLE() cv::reprojectImageTo3D(src, dst, Q);
CPU_SANITY_CHECK(dst);
}
}
//////////////////////////////////////////////////////////////////////
// DrawColorDisp
PERF_TEST_P(Sz_Depth, DrawColorDisp,
Combine(GPU_TYPICAL_MAT_SIZES,
Values(CV_8U, CV_16S)))
{
const cv::Size size = GET_PARAM(0);
const int type = GET_PARAM(1);
cv::Mat src(size, type);
declare.in(src, WARMUP_RNG);
if (PERF_RUN_GPU())
{
const cv::gpu::GpuMat d_src(src);
cv::gpu::GpuMat dst;
TEST_CYCLE() cv::gpu::drawColorDisp(d_src, dst, 255);
GPU_SANITY_CHECK(dst);
}
else
{
FAIL_NO_CPU();
}
}