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//                For Open Source Computer Vision Library
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// Copyright (C) 2010-2012, Institute Of Software Chinese Academy Of Science, all rights reserved.
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// @Authors
//    Jia Haipeng, jiahaipeng95@gmail.com
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#include "precomp.hpp"

#ifdef HAVE_OPENCL

using namespace cvtest;
using namespace testing;
using namespace std;

PARAM_TEST_CASE(MergeTestBase, MatType, int)
{
    int type;
    int channels;

    //src mat
    cv::Mat mat1;
    cv::Mat mat2;
    cv::Mat mat3;
    cv::Mat mat4;

    //dst mat
    cv::Mat dst;

    // set up roi
    int roicols;
    int roirows;
    int src1x;
    int src1y;
    int src2x;
    int src2y;
    int src3x;
    int src3y;
    int src4x;
    int src4y;
    int dstx;
    int dsty;

    //src mat with roi
    cv::Mat mat1_roi;
    cv::Mat mat2_roi;
    cv::Mat mat3_roi;
    cv::Mat mat4_roi;

    //dst mat with roi
    cv::Mat dst_roi;
    std::vector<cv::ocl::Info> oclinfo;
    //ocl dst mat for testing
    cv::ocl::oclMat gdst_whole;

    //ocl mat with roi
    cv::ocl::oclMat gmat1;
    cv::ocl::oclMat gmat2;
    cv::ocl::oclMat gmat3;
    cv::ocl::oclMat gmat4;
    cv::ocl::oclMat gdst;

    virtual void SetUp()
    {
        type = GET_PARAM(0);
        channels = GET_PARAM(1);

        cv::RNG &rng = TS::ptr()->get_rng();
        cv::Size size(MWIDTH, MHEIGHT);

        mat1 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false);
        mat2 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false);
        mat3 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false);
        mat4 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false);
        dst  = randomMat(rng, size, CV_MAKETYPE(type, channels), 5, 16, false);

        int devnums = getDevice(oclinfo, OPENCV_DEFAULT_OPENCL_DEVICE);
        CV_Assert(devnums > 0);
        //if you want to use undefault device, set it here
        //setDevice(oclinfo[0]);
    }

    void random_roi()
    {        
#ifdef RANDOMROI
        //randomize ROI
		cv::RNG &rng = TS::ptr()->get_rng();
        roicols = rng.uniform(1, mat1.cols);
        roirows = rng.uniform(1, mat1.rows);
        src1x   = rng.uniform(0, mat1.cols - roicols);
        src1y   = rng.uniform(0, mat1.rows - roirows);
        src2x   = rng.uniform(0, mat2.cols - roicols);
        src2y   = rng.uniform(0, mat2.rows - roirows);
        src3x   = rng.uniform(0, mat3.cols - roicols);
        src3y   = rng.uniform(0, mat3.cols - roirows);
        src4x   = rng.uniform(0, mat4.rows - roicols);
        src4y   = rng.uniform(0, mat4.rows - roirows);
        dstx    = rng.uniform(0, dst.cols  - roicols);
        dsty    = rng.uniform(0, dst.rows  - roirows);
#else
        roicols = mat1.cols;
        roirows = mat1.rows;
        src1x   = 0;
        src1y   = 0;
        src2x   = 0;
        src2y   = 0;
        src3x   = 0;
        src3y   = 0;
        src4x   = 0;
        src4y   = 0;
        dstx    = 0;
        dsty    = 0;
#endif


        mat1_roi = mat1(Rect(src1x, src1y, roicols, roirows));
        mat2_roi = mat2(Rect(src2x, src2y, roicols, roirows));
        mat3_roi = mat3(Rect(src3x, src3y, roicols, roirows));
        mat4_roi = mat4(Rect(src4x, src4y, roicols, roirows));


        dst_roi = dst(Rect(dstx, dsty, roicols, roirows));

        gdst_whole = dst;
        gdst = gdst_whole(Rect(dstx, dsty, roicols, roirows));

        gmat1 = mat1_roi;
        gmat2 = mat2_roi;
        gmat3 = mat3_roi;
        gmat4 = mat4_roi;
    }

};

struct Merge : MergeTestBase {};

TEST_P(Merge, Accuracy)
{
    for(int j = 0; j < LOOP_TIMES; j++)
    {
        random_roi();

        std::vector<cv::Mat> dev_src;
        dev_src.push_back(mat1_roi);
        dev_src.push_back(mat2_roi);
        dev_src.push_back(mat3_roi);
        dev_src.push_back(mat4_roi);

        std::vector<cv::ocl::oclMat> dev_gsrc;
        dev_gsrc.push_back(gmat1);
        dev_gsrc.push_back(gmat2);
        dev_gsrc.push_back(gmat3);
        dev_gsrc.push_back(gmat4);

        cv::merge(dev_src, dst_roi);
        cv::ocl::merge(dev_gsrc, gdst);

        cv::Mat cpu_dst;
        gdst_whole.download(cpu_dst);
        char sss[1024];
        sprintf(sss, "roicols=%d,roirows=%d,src1x =%d,src1y=%d,src2x =%d,src2y=%d,src3x =%d,src3y=%d,src4x =%d,src4y=%d,dstx=%d,dsty=%d", roicols, roirows, src1x, src1y, src2x , src2y, src3x , src3y, src4x , src4y, dstx, dsty);

        EXPECT_MAT_NEAR(dst, cpu_dst, 0.0, sss);
    }
}



PARAM_TEST_CASE(SplitTestBase, MatType, int)
{
    int type;
    int channels;

    //src mat
    cv::Mat mat;

    //dstmat
    cv::Mat dst1;
    cv::Mat dst2;
    cv::Mat dst3;
    cv::Mat dst4;

    // set up roi
    int roicols;
    int roirows;
    int srcx;
    int srcy;
    int dst1x;
    int dst1y;
    int dst2x;
    int dst2y;
    int dst3x;
    int dst3y;
    int dst4x;
    int dst4y;

    //src mat with roi
    cv::Mat mat_roi;

    //dst mat with roi
    cv::Mat dst1_roi;
    cv::Mat dst2_roi;
    cv::Mat dst3_roi;
    cv::Mat dst4_roi;
    std::vector<cv::ocl::Info> oclinfo;
    //ocl dst mat for testing
    cv::ocl::oclMat gdst1_whole;
    cv::ocl::oclMat gdst2_whole;
    cv::ocl::oclMat gdst3_whole;
    cv::ocl::oclMat gdst4_whole;

    //ocl mat with roi
    cv::ocl::oclMat gmat;
    cv::ocl::oclMat gdst1;
    cv::ocl::oclMat gdst2;
    cv::ocl::oclMat gdst3;
    cv::ocl::oclMat gdst4;

    virtual void SetUp()
    {
        type = GET_PARAM(0);
        channels = GET_PARAM(1);

        cv::RNG &rng = TS::ptr()->get_rng();
        cv::Size size(MWIDTH, MHEIGHT);

        mat  = randomMat(rng, size, CV_MAKETYPE(type, channels), 5, 16, false);
        dst1 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false);
        dst2 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false);
        dst3 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false);
        dst4 = randomMat(rng, size, CV_MAKETYPE(type, 1), 5, 16, false);

        int devnums = getDevice(oclinfo, OPENCV_DEFAULT_OPENCL_DEVICE);
        CV_Assert(devnums > 0);
        //if you want to use undefault device, set it here
        //setDevice(oclinfo[0]);
    }

    void random_roi()
    {        
#ifdef RANDOMROI
        //randomize ROI
		cv::RNG &rng = TS::ptr()->get_rng();
        roicols = rng.uniform(1, mat.cols);
        roirows = rng.uniform(1, mat.rows);
        srcx    = rng.uniform(0, mat.cols - roicols);
        srcy    = rng.uniform(0, mat.rows - roirows);
        dst1x   = rng.uniform(0, dst1.cols  - roicols);
        dst1y   = rng.uniform(0, dst1.rows  - roirows);
        dst2x   = rng.uniform(0, dst2.cols  - roicols);
        dst2y   = rng.uniform(0, dst2.rows  - roirows);
        dst3x   = rng.uniform(0, dst3.cols  - roicols);
        dst3y   = rng.uniform(0, dst3.rows  - roirows);
        dst4x   = rng.uniform(0, dst4.cols  - roicols);
        dst4y   = rng.uniform(0, dst4.rows  - roirows);
#else
        roicols = mat.cols;
        roirows = mat.rows;
        srcx    = 0;
        srcy    = 0;
        dst1x   = 0;
        dst1y   = 0;
        dst2x   = 0;
        dst2y   = 0;
        dst3x   = 0;
        dst3y   = 0;
        dst4x   = 0;
        dst4y   = 0;
#endif

        mat_roi = mat(Rect(srcx, srcy, roicols, roirows));

        dst1_roi = dst1(Rect(dst1x, dst1y, roicols, roirows));
        dst2_roi = dst2(Rect(dst2x, dst2y, roicols, roirows));
        dst3_roi = dst3(Rect(dst3x, dst3y, roicols, roirows));
        dst4_roi = dst4(Rect(dst4x, dst4y, roicols, roirows));

        gdst1_whole = dst1;
        gdst1 = gdst1_whole(Rect(dst1x, dst1y, roicols, roirows));

        gdst2_whole = dst2;
        gdst2 = gdst2_whole(Rect(dst2x, dst2y, roicols, roirows));

        gdst3_whole = dst3;
        gdst3 = gdst3_whole(Rect(dst3x, dst3y, roicols, roirows));

        gdst4_whole = dst4;
        gdst4 = gdst4_whole(Rect(dst4x, dst4y, roicols, roirows));

        gmat = mat_roi;
    }

};

struct Split : SplitTestBase {};

TEST_P(Split, Accuracy)
{
    for(int j = 0; j < LOOP_TIMES; j++)
    {
        random_roi();

        cv::Mat         dev_dst[4]  = {dst1_roi, dst2_roi, dst3_roi, dst4_roi};
        cv::ocl::oclMat dev_gdst[4] = {gdst1, gdst2, gdst3, gdst4};

        cv::split(mat_roi, dev_dst);
        cv::ocl::split(gmat, dev_gdst);

        cv::Mat cpu_dst1;
        cv::Mat cpu_dst2;
        cv::Mat cpu_dst3;
        cv::Mat cpu_dst4;
        gdst1_whole.download(cpu_dst1);
        gdst2_whole.download(cpu_dst2);
        gdst3_whole.download(cpu_dst3);
        gdst4_whole.download(cpu_dst4);
        char sss[1024];
        sprintf(sss, "roicols=%d,roirows=%d,dst1x =%d,dsty=%d,dst2x =%d,dst2y=%d,dst3x =%d,dst3y=%d,dst4x =%d,dst4y=%d,srcx=%d,srcy=%d", roicols, roirows, dst1x , dst1y, dst2x , dst2y, dst3x , dst3y, dst4x , dst4y, srcx, srcy);

        EXPECT_MAT_NEAR(dst1, cpu_dst1, 0.0, sss);
        EXPECT_MAT_NEAR(dst2, cpu_dst2, 0.0, sss);
        EXPECT_MAT_NEAR(dst3, cpu_dst3, 0.0, sss);
        EXPECT_MAT_NEAR(dst4, cpu_dst4, 0.0, sss);
    }
}


INSTANTIATE_TEST_CASE_P(SplitMerge, Merge, Combine(
                            Values(CV_8U, CV_32S, CV_32F), Values(1, 4)));


INSTANTIATE_TEST_CASE_P(SplitMerge, Split , Combine(
                            Values(CV_8U, CV_32S, CV_32F), Values(1, 4)));
                           

#endif // HAVE_OPENCL
