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#include "test_precomp.hpp"
#include <string>
#include <iostream>

//#define SHOW_TIME

#ifdef SHOW_TIME
#include <ctime>
#define F(x) x
#else
#define F(x)
#endif

using namespace cv;
using namespace std;

struct CV_GpuMatchTemplateTest: cvtest::BaseTest 
{
    CV_GpuMatchTemplateTest() {}

    void run(int)
    {
        bool double_ok = gpu::TargetArchs::builtWith(gpu::NATIVE_DOUBLE) &&
                         gpu::DeviceInfo().supports(gpu::NATIVE_DOUBLE);
        if (!double_ok)
        {
            // For sqrIntegral
            ts->printf(cvtest::TS::CONSOLE, "\nCode and device double support is required (CC >= 1.3)");
            ts->set_failed_test_info(cvtest::TS::FAIL_GENERIC);
            return;
        }

        Mat image, templ;
        Mat dst_gold;
        gpu::GpuMat dst;
        int n, m, h, w;
        F(clock_t t;)

        RNG& rng = ts->get_rng();

        for (int cn = 1; cn <= 4; ++cn)
        {
            F(ts->printf(cvtest::TS::CONSOLE, "cn: %d\n", cn);)
            for (int i = 0; i <= 0; ++i)
            {
                n = rng.uniform(30, 100);
                m = rng.uniform(30, 100);
                h = rng.uniform(5, n - 1);
                w = rng.uniform(5, m - 1);

                gen(image, n, m, CV_8U, cn);
                gen(templ, h, w, CV_8U, cn);
                F(t = clock();)
                matchTemplate(image, templ, dst_gold, CV_TM_SQDIFF);
                F(cout << "depth: 8U cn: " << cn << " n: " << n << " m: " << m << " w: " << w << " h: " << h << endl;)
                F(cout << "cpu:" << clock() - t << endl;)
                F(t = clock();)
                gpu::matchTemplate(gpu::GpuMat(image), gpu::GpuMat(templ), dst, CV_TM_SQDIFF);
                F(cout << "gpu_block: " << clock() - t << endl;)
                if (!check(dst_gold, Mat(dst), 5 * h * w * 1e-4f, "SQDIFF 8U")) return;

                gen(image, n, m, CV_8U, cn);
                gen(templ, h, w, CV_8U, cn);
                F(t = clock();)
                matchTemplate(image, templ, dst_gold, CV_TM_SQDIFF_NORMED);
                F(cout << "depth: 8U cn: " << cn << " n: " << n << " m: " << m << " w: " << w << " h: " << h << endl;)
                F(cout << "cpu:" << clock() - t << endl;)
                F(t = clock();)
                gpu::matchTemplate(gpu::GpuMat(image), gpu::GpuMat(templ), dst, CV_TM_SQDIFF_NORMED);
                F(cout << "gpu_block: " << clock() - t << endl;)
                if (!check(dst_gold, Mat(dst), h * w * 1e-5f, "SQDIFF_NOREMD 8U")) return;

                gen(image, n, m, CV_8U, cn);
                gen(templ, h, w, CV_8U, cn);
                F(t = clock();)
                matchTemplate(image, templ, dst_gold, CV_TM_CCORR);
                F(cout << "depth: 8U cn: " << cn << " n: " << n << " m: " << m << " w: " << w << " h: " << h << endl;)
                F(cout << "cpu:" << clock() - t << endl;)
                F(t = clock();)
                gpu::matchTemplate(gpu::GpuMat(image), gpu::GpuMat(templ), dst, CV_TM_CCORR);
                F(cout << "gpu_block: " << clock() - t << endl;)
                if (!check(dst_gold, Mat(dst), 5 * h * w * cn * cn * 1e-5f, "CCORR 8U")) return;

                gen(image, n, m, CV_8U, cn);
                gen(templ, h, w, CV_8U, cn);
                F(t = clock();)
                matchTemplate(image, templ, dst_gold, CV_TM_CCORR_NORMED);
                F(cout << "depth: 8U cn: " << cn << " n: " << n << " m: " << m << " w: " << w << " h: " << h << endl;)
                F(cout << "cpu:" << clock() - t << endl;)
                F(t = clock();)
                gpu::matchTemplate(gpu::GpuMat(image), gpu::GpuMat(templ), dst, CV_TM_CCORR_NORMED);
                F(cout << "gpu_block: " << clock() - t << endl;)
                if (!check(dst_gold, Mat(dst), h * w * 1e-6f, "CCORR_NORMED 8U")) return;

                gen(image, n, m, CV_8U, cn);
                gen(templ, h, w, CV_8U, cn);
                F(t = clock();)
                matchTemplate(image, templ, dst_gold, CV_TM_CCOEFF);
                F(cout << "depth: 8U cn: " << cn << " n: " << n << " m: " << m << " w: " << w << " h: " << h << endl;)
                F(cout << "cpu:" << clock() - t << endl;)
                F(t = clock();)
                gpu::matchTemplate(gpu::GpuMat(image), gpu::GpuMat(templ), dst, CV_TM_CCOEFF);
                F(cout << "gpu_block: " << clock() - t << endl;)
                if (!check(dst_gold, Mat(dst), 5 * h * w * cn * cn * 1e-5f, "CCOEFF 8U")) return;

                gen(image, n, m, CV_8U, cn);
                gen(templ, h, w, CV_8U, cn);
                F(t = clock();)
                matchTemplate(image, templ, dst_gold, CV_TM_CCOEFF_NORMED);
                F(cout << "depth: 8U cn: " << cn << " n: " << n << " m: " << m << " w: " << w << " h: " << h << endl;)
                F(cout << "cpu:" << clock() - t << endl;)
                F(t = clock();)
                gpu::matchTemplate(gpu::GpuMat(image), gpu::GpuMat(templ), dst, CV_TM_CCOEFF_NORMED);
                F(cout << "gpu_block: " << clock() - t << endl;)
                if (!check(dst_gold, Mat(dst), h * w * 1e-6f, "CCOEFF_NORMED 8U")) return;

                gen(image, n, m, CV_32F, cn);
                gen(templ, h, w, CV_32F, cn);
                F(t = clock();)
                matchTemplate(image, templ, dst_gold, CV_TM_SQDIFF);
                F(cout << "depth: 32F cn: " << cn << " n: " << n << " m: " << m << " w: " << w << " h: " << h << endl;)
                F(cout << "cpu:" << clock() - t << endl;)
                F(t = clock();)
                gpu::matchTemplate(gpu::GpuMat(image), gpu::GpuMat(templ), dst, CV_TM_SQDIFF);
                F(cout << "gpu_block: " << clock() - t << endl;)
                if (!check(dst_gold, Mat(dst), 0.25f * h * w * 1e-5f, "SQDIFF 32F")) return;

                gen(image, n, m, CV_32F, cn);
                gen(templ, h, w, CV_32F, cn);
                F(t = clock();)
                matchTemplate(image, templ, dst_gold, CV_TM_CCORR);
                F(cout << "depth: 32F cn: " << cn << " n: " << n << " m: " << m << " w: " << w << " h: " << h << endl;)
                F(cout << "cpu:" << clock() - t << endl;)
                F(t = clock();)
                gpu::matchTemplate(gpu::GpuMat(image), gpu::GpuMat(templ), dst, CV_TM_CCORR);
                F(cout << "gpu_block: " << clock() - t << endl;)
                if (!check(dst_gold, Mat(dst), 0.25f * h * w * 1e-5f, "CCORR 32F")) return;
            }
        }
    }

    void gen(Mat& a, int rows, int cols, int depth, int cn)
    {
        RNG rng;
        a.create(rows, cols, CV_MAKETYPE(depth, cn));
        if (depth == CV_8U)
            rng.fill(a, RNG::UNIFORM, Scalar::all(1), Scalar::all(10));
        else if (depth == CV_32F)
            rng.fill(a, RNG::UNIFORM, Scalar::all(0.001f), Scalar::all(1.f));
    }

    bool check(const Mat& a, const Mat& b, float max_err, const string& method="")
    {
        if (a.size() != b.size())
        {
            ts->printf(cvtest::TS::CONSOLE, "bad size, method=%s\n", method.c_str());
            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
            return false;
        }

        //for (int i = 0; i < a.rows; ++i)
        //{
        //    for (int j = 0; j < a.cols; ++j)
        //    {
        //        float a_ = a.at<float>(i, j);
        //        float b_ = b.at<float>(i, j);
        //        if (fabs(a_ - b_) > max_err)
        //        {
        //            ts->printf(cvtest::TS::CONSOLE, "a=%f, b=%f, i=%d, j=%d\n", a_, b_, i, j);
        //            cin.get();
        //        }
        //    }
        //}

        float err = (float)norm(a, b, NORM_INF);
        if (err > max_err)
        {
            ts->printf(cvtest::TS::CONSOLE, "bad accuracy: %f, method=%s\n", err, method.c_str());
            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
            return false;
        }

        return true;
    }
};

TEST(matchTemplate, accuracy) { CV_GpuMatchTemplateTest test; test.safe_run(); }

struct CV_GpuMatchTemplateFindPatternInBlackTest: cvtest::BaseTest 
{
    CV_GpuMatchTemplateFindPatternInBlackTest() {}

    void run(int)
    {
        bool double_ok = gpu::TargetArchs::builtWith(gpu::NATIVE_DOUBLE) &&
                         gpu::DeviceInfo().supports(gpu::NATIVE_DOUBLE);
        if (!double_ok)
        {
            // For sqrIntegral
            ts->printf(cvtest::TS::CONSOLE, "\nCode and device double support is required (CC >= 1.3)");
            ts->set_failed_test_info(cvtest::TS::FAIL_GENERIC);
            return;
        }

        Mat image = imread(std::string(ts->get_data_path()) + "matchtemplate/black.png");
        if (image.empty())
        {
            ts->printf(cvtest::TS::CONSOLE, "can't open file '%s'", (std::string(ts->get_data_path())
                                                               + "matchtemplate/black.png").c_str());
            ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
            return;
        }

        Mat pattern = imread(std::string(ts->get_data_path()) + "matchtemplate/cat.png");
        if (pattern.empty())
        {
            ts->printf(cvtest::TS::CONSOLE, "can't open file '%s'", (std::string(ts->get_data_path())
                                                               + "matchtemplate/cat.png").c_str());
            ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
            return;
        }

        gpu::GpuMat d_image(image);
        gpu::GpuMat d_pattern(pattern);
        gpu::GpuMat d_result;

        double maxValue;
        Point maxLoc;
        Point maxLocGold(284, 12);

        gpu::matchTemplate(d_image, d_pattern, d_result, CV_TM_CCOEFF_NORMED);
        gpu::minMaxLoc(d_result, NULL, &maxValue, NULL, &maxLoc );
        if (maxLoc != maxLocGold)
        {
            ts->printf(cvtest::TS::CONSOLE, "bad match (CV_TM_CCOEFF_NORMED): %d %d, must be at: %d %d",
                       maxLoc.x, maxLoc.y, maxLocGold.x, maxLocGold.y);
            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
            return;
        }

        gpu::matchTemplate(d_image, d_pattern, d_result, CV_TM_CCORR_NORMED);
        gpu::minMaxLoc(d_result, NULL, &maxValue, NULL, &maxLoc );
        if (maxLoc != maxLocGold)
        {
            ts->printf(cvtest::TS::CONSOLE, "bad match (CV_TM_CCORR_NORMED): %d %d, must be at: %d %d",
                       maxLoc.x, maxLoc.y, maxLocGold.x, maxLocGold.y);
            ts->set_failed_test_info(cvtest::TS::FAIL_INVALID_OUTPUT);
            return;
        }
    }
};

TEST(matchTemplate, find_pattern_in_black) { CV_GpuMatchTemplateFindPatternInBlackTest test; test.safe_run(); }