opencv/modules/imgproc/test/ocl/test_histogram.cpp

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#include "test_precomp.hpp"
#include "cvconfig.h"
#include "opencv2/ts/ocl_test.hpp"

#ifdef HAVE_OPENCL

namespace cvtest {
namespace ocl {

///////////////////////////////////////////////////////////////////////////////

PARAM_TEST_CASE(CalcBackProject, MatDepth, int, bool)
{
    int depth, N;
    bool useRoi;

    std::vector<float> ranges;
    std::vector<int> channels;
    double scale;

    std::vector<Mat> images;
    std::vector<Mat> images_roi;
    std::vector<UMat> uimages;
    std::vector<UMat> uimages_roi;

    TEST_DECLARE_INPUT_PARAMETER(hist);
    TEST_DECLARE_OUTPUT_PARAMETER(dst);

    virtual void SetUp()
    {
        depth = GET_PARAM(0);
        N = GET_PARAM(1);
        useRoi = GET_PARAM(2);

        ASSERT_GE(2, N);

        images.resize(N);
        images_roi.resize(N);
        uimages.resize(N);
        uimages_roi.resize(N);
    }

    virtual void random_roi()
    {
        Size roiSize = randomSize(1, MAX_VALUE);

        int totalChannels = 0;
        for (int i = 0; i < N; ++i)
        {
            Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
            int cn = randomInt(1, 5);
            randomSubMat(images[i], images_roi[i], roiSize, srcBorder, CV_MAKE_TYPE(depth, cn), 0, 125);

            ranges.push_back(10);
            ranges.push_back(100);

            channels.push_back(randomInt(0, cn) + totalChannels);
            totalChannels += cn;
        }

        Mat tmpHist;
        {
            std::vector<int> hist_size(N);
            for (int i = 0 ; i < N; ++i)
                hist_size[i] = randomInt(10, 50);

            cv::calcHist(images_roi, channels, noArray(), tmpHist, hist_size, ranges);
            ASSERT_EQ(CV_32FC1, tmpHist.type());
        }

        Border histBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
        randomSubMat(hist, hist_roi, tmpHist.size(), histBorder, tmpHist.type(), 0, MAX_VALUE);
        tmpHist.copyTo(hist_roi);

        Border dstBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
        randomSubMat(dst, dst_roi, roiSize, dstBorder, CV_MAKE_TYPE(depth, 1), 5, 16);

        for (int i = 0; i < N; ++i)
        {
            images[i].copyTo(uimages[i]);

            Size _wholeSize;
            Point ofs;
            images_roi[i].locateROI(_wholeSize, ofs);

            uimages_roi[i] = uimages[i](Rect(ofs.x, ofs.y, images_roi[i].cols, images_roi[i].rows));
        }

        UMAT_UPLOAD_INPUT_PARAMETER(hist);
        UMAT_UPLOAD_OUTPUT_PARAMETER(dst);

        scale = randomDouble(0.1, 1);
    }

    virtual void test_by_pict()
    {
        Mat frame1 = readImage("optflow/RubberWhale1.png", IMREAD_GRAYSCALE);

        UMat usrc;
        frame1.copyTo(usrc);
        int histSize = randomInt(3, 29);
        float hue_range[] = { 0, 180 };
        const float* ranges1 = { hue_range };
        Mat hist1;

        //compute histogram
        calcHist(&frame1, 1, 0, Mat(), hist1, 1, &histSize, &ranges1, true, false);
        normalize(hist1, hist1, 0, 255, NORM_MINMAX, -1, Mat());

        Mat dst1;
        UMat udst1, src, uhist1;
        hist1.copyTo(uhist1);
        std::vector<UMat> uims;
        uims.push_back(usrc);
        std::vector<float> urngs;
        urngs.push_back(0);
        urngs.push_back(180);
        std::vector<int> chs;
        chs.push_back(0);

        OCL_OFF(calcBackProject(&frame1, 1, 0, hist1, dst1, &ranges1, 1, true));
        OCL_ON(calcBackProject(uims, chs, uhist1, udst1, urngs, 1.0));
        EXPECT_MAT_NEAR(dst1, udst1, 0.0);
    }
};

//////////////////////////////// CalcBackProject //////////////////////////////////////////////

OCL_TEST_P(CalcBackProject, Mat)
{
    for (int j = 0; j < test_loop_times; j++)
    {
        random_roi();

        OCL_OFF(cv::calcBackProject(images_roi, channels, hist_roi, dst_roi, ranges, scale));
        OCL_ON(cv::calcBackProject(uimages_roi, channels, uhist_roi, udst_roi, ranges, scale));

        Size dstSize = dst_roi.size();
        int nDiffs = (int)(0.03f*dstSize.height*dstSize.width);

        //check if the dst mats are the same except 3% difference
        EXPECT_MAT_N_DIFF(dst_roi, udst_roi, nDiffs);

        //check in addition on given image
        test_by_pict();
    }
}

//////////////////////////////// CalcHist //////////////////////////////////////////////

PARAM_TEST_CASE(CalcHist, bool)
{
    bool useRoi;

    TEST_DECLARE_INPUT_PARAMETER(src);
    TEST_DECLARE_OUTPUT_PARAMETER(hist);

    virtual void SetUp()
    {
        useRoi = GET_PARAM(0);
    }

    virtual void random_roi()
    {
        Size roiSize = randomSize(1, MAX_VALUE);

        Border srcBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
        randomSubMat(src, src_roi, roiSize, srcBorder, CV_8UC1, 0, 256);

        Border histBorder = randomBorder(0, useRoi ? MAX_VALUE : 0);
        randomSubMat(hist, hist_roi, Size(1, 256), histBorder, CV_32SC1, 0, MAX_VALUE);

        UMAT_UPLOAD_INPUT_PARAMETER(src);
        UMAT_UPLOAD_OUTPUT_PARAMETER(hist);
    }
};

OCL_TEST_P(CalcHist, Mat)
{
    const std::vector<int> channels(1, 0);
    std::vector<float> ranges(2);
    std::vector<int> histSize(1, 256);
    ranges[0] = 0;
    ranges[1] = 256;

    for (int j = 0; j < test_loop_times; j++)
    {
        random_roi();

        OCL_OFF(cv::calcHist(std::vector<Mat>(1, src_roi), channels, noArray(), hist_roi, histSize, ranges, false));
        OCL_ON(cv::calcHist(std::vector<UMat>(1, usrc_roi), channels, noArray(), uhist_roi, histSize, ranges, false));

        OCL_EXPECT_MATS_NEAR(hist, 0.0);
    }
}

/////////////////////////////////////////////////////////////////////////////////////

OCL_INSTANTIATE_TEST_CASE_P(Imgproc, CalcBackProject, Combine(Values((MatDepth)CV_8U), Values(1, 2), Bool()));
OCL_INSTANTIATE_TEST_CASE_P(Imgproc, CalcHist, Values(true, false));

} } // namespace cvtest::ocl

#endif // HAVE_OPENCL