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// This file is part of OpenCV project.
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// It is subject to the license terms in the LICENSE file found in the top-level directory
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// of this distribution and at http://opencv.org/license.html.
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//
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// Copyright (C) 2019 Intel Corporation
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#include "test_precomp.hpp"
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#include "gapi_fluid_test_kernels.hpp"
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namespace opencv_test
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{
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namespace {
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cv::Mat randomMat(cv::Size img_sz, int type = CV_8UC1, cv::Scalar mean = cv::Scalar(127.0f), cv::Scalar stddev = cv::Scalar(40.f)){
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cv::Mat mat(img_sz, type);
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cv::randn(mat, mean, stddev);
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return mat;
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}
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cv::GFluidParallelOutputRois asGFluidParallelOutputRois(const std::vector<cv::Rect>& rois){
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cv::GFluidParallelOutputRois parallel_rois;
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for (auto const& roi : rois) {
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parallel_rois.parallel_rois.emplace_back(GFluidOutputRois{{to_own(roi)}});
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}
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return parallel_rois;
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}
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void adjust_empty_roi(cv::Rect& roi, cv::Size size){
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if (roi.empty()) roi = cv::Rect{{0,0}, size};
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}
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cv::GCompileArgs combine(cv::GCompileArgs&& lhs, cv::GCompileArgs const& rhs){
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lhs.insert(lhs.end(), rhs.begin(), rhs.end());
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return std::move(lhs);
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}
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}
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using namespace cv::gapi_test_kernels;
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//As GTest can not simultaneously parameterize test with both types and values - lets use type-erasure and virtual interfaces
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//to use different computation pipelines
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struct ComputationPair {
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void run_with_gapi(const cv::Mat& in_mat, cv::GCompileArgs const& compile_args, cv::Mat& out_mat){
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run_with_gapi_impl(in_mat, combine(cv::compile_args(fluidTestPackage), compile_args), out_mat);
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}
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void run_with_gapi(const cv::Mat& in_mat, cv::GFluidParallelOutputRois const& parallel_rois, cv::Mat& out_mat){
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run_with_gapi_impl(in_mat, cv::compile_args(fluidTestPackage, parallel_rois), out_mat);
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}
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virtual void run_with_ocv (const cv::Mat& in_mat, const std::vector<cv::Rect>& rois, cv::Mat& out_mat) = 0;
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virtual std::string name() const { return {}; }
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virtual ~ComputationPair () = default;
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friend std::ostream& operator<<(std::ostream& o, ComputationPair const* cp){
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std::string custom_name = cp->name();
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return o << (custom_name.empty() ? typeid(cp).name() : custom_name );
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}
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private:
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virtual void run_with_gapi_impl(const cv::Mat& in_mat, cv::GCompileArgs const& comp_args, cv::Mat& out_mat) = 0;
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};
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struct Blur3x3CP : ComputationPair{
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static constexpr int borderType = BORDER_REPLICATE;
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static constexpr int kernelSize = 3;
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std::string name() const override { return "Blur3x3"; }
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void run_with_gapi_impl(const cv::Mat& in_mat, cv::GCompileArgs const& comp_args, cv::Mat& out_mat_gapi) override {
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cv::GMat in;
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cv::GMat out = TBlur3x3::on(in, borderType, {});
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cv::GComputation c(cv::GIn(in), cv::GOut(out));
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// Run G-API
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auto cc = c.compile(cv::descr_of(in_mat), comp_args);
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cc(cv::gin(in_mat), cv::gout(out_mat_gapi));
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}
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void run_with_ocv(const cv::Mat& in_mat, const std::vector<cv::Rect>& rois, cv::Mat& out_mat_ocv) override {
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cv::Point anchor = {-1, -1};
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// Check with OpenCV
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for (auto roi : rois) {
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adjust_empty_roi(roi, in_mat.size());
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cv::blur(in_mat(roi), out_mat_ocv(roi), {kernelSize, kernelSize}, anchor, borderType);
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}
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}
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};
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struct AddCCP : ComputationPair{
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std::string name() const override { return "AddC"; }
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void run_with_gapi_impl(const cv::Mat& in_mat, cv::GCompileArgs const& comp_args, cv::Mat& out_mat_gapi) override {
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cv::GMat in;
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cv::GMat out = TAddCSimple::on(in, 1);
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cv::GComputation c(cv::GIn(in), cv::GOut(out));
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// Run G-API
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auto cc = c.compile(cv::descr_of(in_mat), comp_args);
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cc(cv::gin(in_mat), cv::gout(out_mat_gapi));
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}
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void run_with_ocv(const cv::Mat& in_mat, const std::vector<cv::Rect>& rois, cv::Mat& out_mat_ocv) override {
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// Check with OpenCV
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for (auto roi : rois) {
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adjust_empty_roi(roi, in_mat.size());
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out_mat_ocv(roi) = in_mat(roi) + 1u;
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}
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}
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};
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template<BorderTypes _borderType>
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struct SequenceOfBlursCP : ComputationPair{
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BorderTypes borderType = _borderType;
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std::string name() const override { return "SequenceOfBlurs, border type: " + std::to_string(static_cast<int>(borderType)); }
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void run_with_gapi_impl(const cv::Mat& in_mat, cv::GCompileArgs const& comp_args, cv::Mat& out_mat) override {
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cv::Scalar borderValue(0);
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GMat in;
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auto mid = TBlur3x3::on(in, borderType, borderValue);
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auto out = TBlur5x5::on(mid, borderType, borderValue);
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GComputation c(GIn(in), GOut(out));
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auto cc = c.compile(descr_of(in_mat), comp_args);
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cc(cv::gin(in_mat), cv::gout(out_mat));
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}
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void run_with_ocv(const cv::Mat& in_mat, const std::vector<cv::Rect>& rois, cv::Mat& out_mat) override {
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cv::Mat mid_mat_ocv = Mat::zeros(in_mat.size(), in_mat.type());
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cv::Point anchor = {-1, -1};
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for (auto roi : rois) {
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adjust_empty_roi(roi, in_mat.size());
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cv::blur(in_mat, mid_mat_ocv, {3,3}, anchor, borderType);
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cv::blur(mid_mat_ocv(roi), out_mat(roi), {5,5}, anchor, borderType);
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}
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}
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};
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struct TiledComputation : public TestWithParam <std::tuple<ComputationPair*, cv::Size, std::vector<cv::Rect>, decltype(cv::GFluidParallelFor::parallel_for)>> {};
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TEST_P(TiledComputation, Test)
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{
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ComputationPair* cp;
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cv::Size img_sz;
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std::vector<cv::Rect> rois ;
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decltype(cv::GFluidParallelFor::parallel_for) pfor;
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auto mat_type = CV_8UC1;
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std::tie(cp, img_sz, rois, pfor) = GetParam();
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cv::Mat in_mat = randomMat(img_sz, mat_type);
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cv::Mat out_mat_gapi = cv::Mat::zeros(img_sz, mat_type);
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cv::Mat out_mat_ocv = cv::Mat::zeros(img_sz, mat_type);
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auto comp_args = combine(cv::compile_args(asGFluidParallelOutputRois(rois)), pfor ? cv::compile_args(cv::GFluidParallelFor{pfor}) : cv::GCompileArgs{});
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cp->run_with_gapi(in_mat, comp_args, out_mat_gapi);
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cp->run_with_ocv (in_mat, rois, out_mat_ocv);
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EXPECT_EQ(0, cv::countNonZero(out_mat_gapi != out_mat_ocv))
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<< "in_mat : \n" << in_mat << std::endl
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<< "diff matrix :\n " << (out_mat_gapi != out_mat_ocv) << std::endl
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<< "out_mat_gapi: \n" << out_mat_gapi << std::endl
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<< "out_mat_ocv: \n" << out_mat_ocv << std::endl;;
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}
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namespace {
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//this is ugly but other variants (like using shared_ptr) are IMHO even more ugly :)
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template<typename T, typename... Arg>
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T* addr_of_static(Arg... arg) {
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static T obj(std::forward<Arg>(arg)...);
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return &obj;
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}
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}
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auto single_arg_computations = [](){
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return Values( addr_of_static<Blur3x3CP>(),
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addr_of_static<AddCCP>(),
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addr_of_static<SequenceOfBlursCP<BORDER_CONSTANT>>(),
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addr_of_static<SequenceOfBlursCP<BORDER_REPLICATE>>(),
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addr_of_static<SequenceOfBlursCP<BORDER_REFLECT_101>>()
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);
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};
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auto tilesets_8x10 = [](){
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return Values(std::vector<cv::Rect>{cv::Rect{}},
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std::vector<cv::Rect>{cv::Rect{0,0,8,5}, cv::Rect{0,5,8,5}},
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std::vector<cv::Rect>{cv::Rect{0,1,8,3}, cv::Rect{0,4,8,3}},
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std::vector<cv::Rect>{cv::Rect{0,2,8,3}, cv::Rect{0,5,8,2}},
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std::vector<cv::Rect>{cv::Rect{0,3,8,4}, cv::Rect{0,9,8,1}});
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};
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auto tilesets_20x15 = [](){
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return Values(std::vector<cv::Rect>{cv::Rect{}},
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std::vector<cv::Rect>{cv::Rect{{0,0},cv::Size{20,7}},
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cv::Rect{{0,7},cv::Size{20,8}}});
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};
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auto tilesets_320x240 = [](){
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return Values(std::vector<cv::Rect>{cv::Rect{{0,0}, cv::Size{320,120}},
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cv::Rect{{0,120}, cv::Size{320,120}}},
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std::vector<cv::Rect>{cv::Rect{{0,0}, cv::Size{320,120}},
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cv::Rect{{0,120}, cv::Size{320,120}}},
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std::vector<cv::Rect>{cv::Rect{{0,0}, cv::Size{320,60}},
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cv::Rect{{0,60}, cv::Size{320,60}},
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cv::Rect{{0,120},cv::Size{320,120}}});
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};
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namespace{
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auto no_custom_pfor = decltype(cv::GFluidParallelFor::parallel_for){};
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}
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INSTANTIATE_TEST_CASE_P(FluidTiledSerial8x10, TiledComputation,
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Combine(
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single_arg_computations(),
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Values(cv::Size(8, 10)),
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tilesets_8x10(),
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Values(no_custom_pfor))
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);
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INSTANTIATE_TEST_CASE_P(FluidTiledSerial20x15, TiledComputation,
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Combine(
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single_arg_computations(),
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Values(cv::Size(20, 15)),
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tilesets_20x15(),
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Values(no_custom_pfor))
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);
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INSTANTIATE_TEST_CASE_P(FluidTiledSerial320x240, TiledComputation,
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Combine(
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single_arg_computations(),
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Values(cv::Size(320, 240)),
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tilesets_320x240(),
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Values(no_custom_pfor))
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);
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//FIXME: add multiple outputs tests
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TEST(FluidTiledParallelFor, basic)
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{
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cv::Size img_sz{8,20};
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auto mat_type = CV_8UC1;
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cv::GMat in;
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cv::GMat out = TAddCSimple::on(in, 1);
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cv::GComputation c(cv::GIn(in), cv::GOut(out));
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cv::Mat in_mat = randomMat(img_sz, mat_type);
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cv::Mat out_mat_gapi = cv::Mat::zeros(img_sz, mat_type);
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auto parallel_rois = asGFluidParallelOutputRois( std::vector<cv::Rect>{cv::Rect{0,0,8,5}, cv::Rect{0,5,8,5}});
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std::size_t items_count = 0;
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auto pfor = [&items_count](std::size_t count, std::function<void(std::size_t)> ){
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items_count = count;
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};
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// Run G-API
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auto cc = c.compile(cv::descr_of(in_mat), cv::compile_args(fluidTestPackage, parallel_rois, GFluidParallelFor{pfor}));
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cc(cv::gin(in_mat), cv::gout(out_mat_gapi));
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ASSERT_EQ(parallel_rois.parallel_rois.size(), items_count);
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}
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namespace {
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auto serial_for = [](std::size_t count, std::function<void(std::size_t)> f){
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for (std::size_t i = 0; i < count; ++i){
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f(i);
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}
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};
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auto cv_parallel_for = [](std::size_t count, std::function<void(std::size_t)> f){
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cv::parallel_for_(cv::Range(0, static_cast<int>(count)), [f](const cv::Range& r){
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for (auto i = r.start; i < r.end; ++i){
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f(i);
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} });
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};
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}
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INSTANTIATE_TEST_CASE_P(FluidTiledParallel8x10, TiledComputation,
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Combine(
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single_arg_computations(),
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Values(cv::Size(8, 10)),
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tilesets_8x10(),
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Values(serial_for, cv_parallel_for))
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);
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} // namespace opencv_test
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//define custom printer for "parallel_for" test parameter
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namespace std {
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void PrintTo(decltype(cv::GFluidParallelFor::parallel_for) const& f, std::ostream* o);
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}
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//separate declaration and definition are needed to please the compiler
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void std::PrintTo(decltype(cv::GFluidParallelFor::parallel_for) const& f, std::ostream* o){
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if (f) {
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using namespace opencv_test;
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if (f.target<decltype(serial_for)>()){
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*o <<"serial_for";
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}
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else if (f.target<decltype(cv_parallel_for)>()){
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*o <<"cv_parallel_for";
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}
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else {
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*o <<"parallel_for of type: " << f.target_type().name();
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}
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}
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else
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{
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*o << "default parallel_for";
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}
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}
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