gpuimgproc module fixes
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Vladislav Vinogradov
227
modules/gpuimgproc/test/test_histogram.cpp
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227
modules/gpuimgproc/test/test_histogram.cpp
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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// copy or use the software.
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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//
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//M*/
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#include "test_precomp.hpp"
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#ifdef HAVE_CUDA
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using namespace cvtest;
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///////////////////////////////////////////////////////////////////////////////////////////////////////
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// HistEven
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struct HistEven : testing::TestWithParam<cv::gpu::DeviceInfo>
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{
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cv::gpu::DeviceInfo devInfo;
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virtual void SetUp()
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{
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devInfo = GetParam();
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cv::gpu::setDevice(devInfo.deviceID());
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}
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};
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GPU_TEST_P(HistEven, Accuracy)
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{
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cv::Mat img = readImage("stereobm/aloe-L.png");
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ASSERT_FALSE(img.empty());
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cv::Mat hsv;
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cv::cvtColor(img, hsv, cv::COLOR_BGR2HSV);
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int hbins = 30;
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float hranges[] = {0.0f, 180.0f};
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std::vector<cv::gpu::GpuMat> srcs;
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cv::gpu::split(loadMat(hsv), srcs);
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cv::gpu::GpuMat hist;
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cv::gpu::histEven(srcs[0], hist, hbins, (int)hranges[0], (int)hranges[1]);
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cv::MatND histnd;
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int histSize[] = {hbins};
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const float* ranges[] = {hranges};
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int channels[] = {0};
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cv::calcHist(&hsv, 1, channels, cv::Mat(), histnd, 1, histSize, ranges);
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cv::Mat hist_gold = histnd;
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hist_gold = hist_gold.t();
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hist_gold.convertTo(hist_gold, CV_32S);
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EXPECT_MAT_NEAR(hist_gold, hist, 0.0);
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}
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INSTANTIATE_TEST_CASE_P(GPU_ImgProc, HistEven, ALL_DEVICES);
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///////////////////////////////////////////////////////////////////////////////////////////////////////
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// CalcHist
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namespace
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{
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void calcHistGold(const cv::Mat& src, cv::Mat& hist)
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{
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hist.create(1, 256, CV_32SC1);
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hist.setTo(cv::Scalar::all(0));
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int* hist_row = hist.ptr<int>();
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for (int y = 0; y < src.rows; ++y)
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{
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const uchar* src_row = src.ptr(y);
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for (int x = 0; x < src.cols; ++x)
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++hist_row[src_row[x]];
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}
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}
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}
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PARAM_TEST_CASE(CalcHist, cv::gpu::DeviceInfo, cv::Size)
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{
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cv::gpu::DeviceInfo devInfo;
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cv::Size size;
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virtual void SetUp()
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{
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devInfo = GET_PARAM(0);
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size = GET_PARAM(1);
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cv::gpu::setDevice(devInfo.deviceID());
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}
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};
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GPU_TEST_P(CalcHist, Accuracy)
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{
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cv::Mat src = randomMat(size, CV_8UC1);
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cv::gpu::GpuMat hist;
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cv::gpu::calcHist(loadMat(src), hist);
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cv::Mat hist_gold;
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calcHistGold(src, hist_gold);
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EXPECT_MAT_NEAR(hist_gold, hist, 0.0);
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}
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INSTANTIATE_TEST_CASE_P(GPU_ImgProc, CalcHist, testing::Combine(
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ALL_DEVICES,
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DIFFERENT_SIZES));
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///////////////////////////////////////////////////////////////////////////////////////////////////////
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// EqualizeHist
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PARAM_TEST_CASE(EqualizeHist, cv::gpu::DeviceInfo, cv::Size)
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{
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cv::gpu::DeviceInfo devInfo;
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cv::Size size;
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virtual void SetUp()
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{
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devInfo = GET_PARAM(0);
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size = GET_PARAM(1);
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cv::gpu::setDevice(devInfo.deviceID());
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}
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};
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GPU_TEST_P(EqualizeHist, Accuracy)
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{
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cv::Mat src = randomMat(size, CV_8UC1);
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cv::gpu::GpuMat dst;
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cv::gpu::equalizeHist(loadMat(src), dst);
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cv::Mat dst_gold;
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cv::equalizeHist(src, dst_gold);
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EXPECT_MAT_NEAR(dst_gold, dst, 3.0);
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}
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INSTANTIATE_TEST_CASE_P(GPU_ImgProc, EqualizeHist, testing::Combine(
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ALL_DEVICES,
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DIFFERENT_SIZES));
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///////////////////////////////////////////////////////////////////////////////////////////////////////
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// CLAHE
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namespace
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{
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IMPLEMENT_PARAM_CLASS(ClipLimit, double)
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}
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PARAM_TEST_CASE(CLAHE, cv::gpu::DeviceInfo, cv::Size, ClipLimit)
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{
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cv::gpu::DeviceInfo devInfo;
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cv::Size size;
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double clipLimit;
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virtual void SetUp()
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{
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devInfo = GET_PARAM(0);
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size = GET_PARAM(1);
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clipLimit = GET_PARAM(2);
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cv::gpu::setDevice(devInfo.deviceID());
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}
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};
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GPU_TEST_P(CLAHE, Accuracy)
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{
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cv::Mat src = randomMat(size, CV_8UC1);
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cv::Ptr<cv::gpu::CLAHE> clahe = cv::gpu::createCLAHE(clipLimit);
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cv::gpu::GpuMat dst;
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clahe->apply(loadMat(src), dst);
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cv::Ptr<cv::CLAHE> clahe_gold = cv::createCLAHE(clipLimit);
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cv::Mat dst_gold;
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clahe_gold->apply(src, dst_gold);
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ASSERT_MAT_NEAR(dst_gold, dst, 1.0);
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}
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INSTANTIATE_TEST_CASE_P(GPU_ImgProc, CLAHE, testing::Combine(
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ALL_DEVICES,
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DIFFERENT_SIZES,
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testing::Values(0.0, 40.0)));
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#endif // HAVE_CUDA
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