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