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Open Source Computer Vision Library
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315 lines
12 KiB
315 lines
12 KiB
// 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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