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Open Source Computer Vision Library
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328 lines
10 KiB
328 lines
10 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) 2018 Intel Corporation |
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#include "test_precomp.hpp" |
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#include <vector> |
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#include <ade/util/algorithm.hpp> |
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namespace opencv_test |
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{ |
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namespace ThisTest |
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{ |
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using GPointArray = cv::GArray<cv::Point>; |
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G_TYPED_KERNEL(GeneratePoints, <GPointArray(GMat)>, "test.array.out_const") |
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{ |
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static GArrayDesc outMeta(const GMatDesc&) { return empty_array_desc(); } |
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}; |
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G_TYPED_KERNEL(FindCorners, <GPointArray(GMat)>, "test.array.out") |
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{ |
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static GArrayDesc outMeta(const GMatDesc&) { return empty_array_desc(); } |
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}; |
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G_TYPED_KERNEL(CountCorners, <GScalar(GPointArray)>, "test.array.in") |
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{ |
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static GScalarDesc outMeta(const GArrayDesc &) { return empty_scalar_desc(); } |
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}; |
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G_TYPED_KERNEL(PointIncrement, <GPointArray(GMat, GPointArray)>, "test.point_increment") |
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{ |
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static GArrayDesc outMeta(const GMatDesc&, const GArrayDesc&) { return empty_array_desc(); } |
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}; |
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G_TYPED_KERNEL(CountContours, <GOpaque<size_t>(GArray<GPointArray>)>, "test.array.array.in") |
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{ |
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static GOpaqueDesc outMeta(const GArrayDesc&) { return empty_gopaque_desc(); } |
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}; |
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} // namespace ThisTest |
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namespace |
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{ |
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GAPI_OCV_KERNEL(OCVGeneratePoints, ThisTest::GeneratePoints) |
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{ |
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static void run(cv::Mat, std::vector<cv::Point> &out) |
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{ |
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for (int i = 0; i < 10; i++) |
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out.emplace_back(i, i); |
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} |
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}; |
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GAPI_OCV_KERNEL(OCVFindCorners, ThisTest::FindCorners) |
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{ |
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static void run(cv::Mat in, std::vector<cv::Point> &out) |
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{ |
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cv::goodFeaturesToTrack(in, out, 1024, 0.01, 3); |
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} |
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}; |
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GAPI_OCV_KERNEL(OCVCountCorners, ThisTest::CountCorners) |
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{ |
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static void run(const std::vector<cv::Point> &in, cv::Scalar &out) |
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{ |
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out[0] = static_cast<double>(in.size()); |
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} |
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}; |
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GAPI_OCV_KERNEL(OCVPointIncrement, ThisTest::PointIncrement) |
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{ |
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static void run(const cv::Mat&, const std::vector<cv::Point>& in, std::vector<cv::Point>& out) |
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{ |
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for (const auto& el : in) |
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out.emplace_back(el + Point(1,1)); |
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} |
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}; |
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GAPI_OCV_KERNEL(OCVCountContours, ThisTest::CountContours) |
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{ |
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static void run(const std::vector<std::vector<cv::Point>> &contours, size_t &out) |
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{ |
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out = contours.size(); |
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} |
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}; |
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cv::Mat cross(int w, int h) |
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{ |
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cv::Mat mat = cv::Mat::eye(h, w, CV_8UC1)*255; |
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cv::Mat yee; |
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cv::flip(mat, yee, 0); // X-axis |
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mat |= yee; // make an "X" matrix; |
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return mat; |
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} |
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} // (anonymous namespace) |
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TEST(GArray, TestReturnValue) |
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{ |
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// FIXME: Make .apply() able to take compile arguments |
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cv::GComputationT<ThisTest::GPointArray(cv::GMat)> c(ThisTest::FindCorners::on); |
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auto cc = c.compile(cv::GMatDesc{CV_8U,1,{32,32}}, |
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cv::compile_args(cv::gapi::kernels<OCVFindCorners>())); |
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// Prepare input matrix |
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cv::Mat input = cross(32, 32); |
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std::vector<cv::Point> points; |
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cc(input, points); |
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// OCV goodFeaturesToTrack should find 5 points here (with these settings) |
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EXPECT_EQ(5u, points.size()); |
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EXPECT_TRUE(ade::util::find(points, cv::Point(16,16)) != points.end()); |
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EXPECT_TRUE(ade::util::find(points, cv::Point(30,30)) != points.end()); |
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EXPECT_TRUE(ade::util::find(points, cv::Point( 1,30)) != points.end()); |
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EXPECT_TRUE(ade::util::find(points, cv::Point(30, 1)) != points.end()); |
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EXPECT_TRUE(ade::util::find(points, cv::Point( 1, 1)) != points.end()); |
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} |
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TEST(GArray, TestInputArg) |
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{ |
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cv::GComputationT<cv::GScalar(ThisTest::GPointArray)> c(ThisTest::CountCorners::on); |
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auto cc = c.compile(cv::empty_array_desc(), |
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cv::compile_args(cv::gapi::kernels<OCVCountCorners>())); |
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const std::vector<cv::Point> arr = {cv::Point(1,1), cv::Point(2,2)}; |
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cv::Scalar out; |
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cc(arr, out); |
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EXPECT_EQ(2, out[0]); |
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} |
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TEST(GArray, TestPipeline) |
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{ |
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cv::GComputationT<cv::GScalar(cv::GMat)> c([](cv::GMat in) |
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{ |
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return ThisTest::CountCorners::on(ThisTest::FindCorners::on(in)); |
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}); |
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auto cc = c.compile(cv::GMatDesc{CV_8U,1,{32,32}}, |
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cv::compile_args(cv::gapi::kernels<OCVFindCorners, OCVCountCorners>())); |
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cv::Mat input = cross(32, 32); |
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cv::Scalar out; |
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cc(input, out); |
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EXPECT_EQ(5, out[0]); |
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} |
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TEST(GArray, NoAggregationBetweenRuns) |
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{ |
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cv::GComputationT<cv::GScalar(cv::GMat)> c([](cv::GMat in) |
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{ |
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return ThisTest::CountCorners::on(ThisTest::GeneratePoints::on(in)); |
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}); |
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auto cc = c.compile(cv::GMatDesc{CV_8U,1,{32,32}}, |
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cv::compile_args(cv::gapi::kernels<OCVGeneratePoints, OCVCountCorners>())); |
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cv::Mat input = cv::Mat::eye(32, 32, CV_8UC1); |
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cv::Scalar out; |
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cc(input, out); |
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EXPECT_EQ(10, out[0]); |
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// Last kernel in the graph counts number of elements in array, returned by the previous kernel |
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// (in this test, this variable is constant). |
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// After 10 executions, this number MUST remain the same - 1st kernel is adding new values on every |
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// run, but it is graph's responsibility to reset internal object state. |
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cv::Scalar out2; |
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for (int i = 0; i < 10; i++) |
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{ |
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cc(input, out2); |
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} |
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EXPECT_EQ(10, out2[0]); |
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} |
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TEST(GArray, TestIntermediateOutput) |
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{ |
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using Result = std::tuple<ThisTest::GPointArray, cv::GScalar>; |
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cv::GComputationT<Result(cv::GMat)> c([](cv::GMat in) |
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{ |
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auto corners = ThisTest::GeneratePoints::on(in); |
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return std::make_tuple(corners, ThisTest::CountCorners::on(corners)); |
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}); |
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cv::Mat in_mat = cv::Mat::eye(32, 32, CV_8UC1); |
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std::vector<cv::Point> out_points; |
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cv::Scalar out_count; |
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auto cc = c.compile(cv::descr_of(in_mat), |
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cv::compile_args(cv::gapi::kernels<OCVGeneratePoints, OCVCountCorners>())); |
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cc(in_mat, out_points, out_count); |
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EXPECT_EQ(10u, out_points.size()); |
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EXPECT_EQ(10, out_count[0]); |
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} |
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TEST(GArray, TestGArrayGArrayKernelInput) |
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{ |
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cv::GMat in; |
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auto contours = cv::gapi::findContours(in, cv::RETR_EXTERNAL, cv::CHAIN_APPROX_NONE); |
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auto out = ThisTest::CountContours::on(contours); |
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cv::GComputation c(GIn(in), GOut(out)); |
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// Create input - two filled rectangles |
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cv::Mat in_mat = cv::Mat::zeros(50, 50, CV_8UC1); |
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cv::rectangle(in_mat, cv::Point{5,5}, cv::Point{20,20}, 255, cv::FILLED); |
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cv::rectangle(in_mat, cv::Point{25,25}, cv::Point{40,40}, 255, cv::FILLED); |
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size_t out_count = 0u; |
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c.apply(gin(in_mat), gout(out_count), cv::compile_args(cv::gapi::kernels<OCVCountContours>())); |
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EXPECT_EQ(2u, out_count) << "Two contours must be found"; |
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} |
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TEST(GArray, GArrayConstValInitialization) |
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{ |
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std::vector<cv::Point> initial_vec {Point(0,0), Point(1,1), Point(2,2)}; |
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std::vector<cv::Point> ref_vec {Point(1,1), Point(2,2), Point(3,3)}; |
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std::vector<cv::Point> out_vec; |
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cv::Mat in_mat = cv::Mat::eye(32, 32, CV_8UC1); |
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cv::GComputationT<ThisTest::GPointArray(cv::GMat)> c([&](cv::GMat in) |
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{ |
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// Initialization |
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ThisTest::GPointArray test_garray(initial_vec); |
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return ThisTest::PointIncrement::on(in, test_garray); |
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}); |
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auto cc = c.compile(cv::descr_of(in_mat), |
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cv::compile_args(cv::gapi::kernels<OCVPointIncrement>())); |
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cc(in_mat, out_vec); |
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EXPECT_EQ(ref_vec, out_vec); |
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} |
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TEST(GArray, GArrayRValInitialization) |
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{ |
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std::vector<cv::Point> ref_vec {Point(1,1), Point(2,2), Point(3,3)}; |
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std::vector<cv::Point> out_vec; |
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cv::Mat in_mat = cv::Mat::eye(32, 32, CV_8UC1); |
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cv::GComputationT<ThisTest::GPointArray(cv::GMat)> c([&](cv::GMat in) |
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{ |
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// Rvalue initialization |
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ThisTest::GPointArray test_garray({Point(0,0), Point(1,1), Point(2,2)}); |
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return ThisTest::PointIncrement::on(in, test_garray); |
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}); |
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auto cc = c.compile(cv::descr_of(in_mat), |
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cv::compile_args(cv::gapi::kernels<OCVPointIncrement>())); |
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cc(in_mat, out_vec); |
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EXPECT_EQ(ref_vec, out_vec); |
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} |
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TEST(GArray_VectorRef, TestMov) |
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{ |
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// Warning: this test is testing some not-very-public APIs |
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// Test how VectorRef's mov() (aka poor man's move()) is working. |
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using I = int; |
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using V = std::vector<I>; |
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const V vgold = { 1, 2, 3}; |
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V vtest = vgold; |
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const I* vptr = vtest.data(); |
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cv::detail::VectorRef vref(vtest); |
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cv::detail::VectorRef vmov; |
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vmov.reset<I>(); |
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EXPECT_EQ(vgold, vref.rref<I>()); |
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vmov.mov(vref); |
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EXPECT_EQ(vgold, vmov.rref<I>()); |
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EXPECT_EQ(vptr, vmov.rref<I>().data()); |
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EXPECT_EQ(V{}, vref.rref<I>()); |
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EXPECT_EQ(V{}, vtest); |
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} |
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// types from anonymous namespace doesn't work well with templates |
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inline namespace gapi_array_tests { |
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struct MyTestStruct { |
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int i; |
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float f; |
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std::string name; |
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}; |
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} |
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TEST(GArray_VectorRef, Kind) |
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{ |
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cv::detail::VectorRef v1(std::vector<cv::Rect>{}); |
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EXPECT_EQ(cv::detail::OpaqueKind::CV_RECT, v1.getKind()); |
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cv::detail::VectorRef v2(std::vector<cv::Mat>{}); |
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EXPECT_EQ(cv::detail::OpaqueKind::CV_MAT, v2.getKind()); |
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cv::detail::VectorRef v3(std::vector<int>{}); |
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EXPECT_EQ(cv::detail::OpaqueKind::CV_INT, v3.getKind()); |
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cv::detail::VectorRef v4(std::vector<double>{}); |
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EXPECT_EQ(cv::detail::OpaqueKind::CV_DOUBLE, v4.getKind()); |
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cv::detail::VectorRef v5(std::vector<cv::Scalar>{}); |
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EXPECT_EQ(cv::detail::OpaqueKind::CV_SCALAR, v5.getKind()); |
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cv::detail::VectorRef v6(std::vector<cv::Point>{}); |
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EXPECT_EQ(cv::detail::OpaqueKind::CV_POINT, v6.getKind()); |
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cv::detail::VectorRef v7(std::vector<cv::Size>{}); |
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EXPECT_EQ(cv::detail::OpaqueKind::CV_SIZE, v7.getKind()); |
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cv::detail::VectorRef v8(std::vector<std::string>{}); |
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EXPECT_EQ(cv::detail::OpaqueKind::CV_STRING, v8.getKind()); |
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cv::detail::VectorRef v9(std::vector<MyTestStruct>{}); |
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EXPECT_EQ(cv::detail::OpaqueKind::CV_UNKNOWN, v9.getKind()); |
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} |
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TEST(GArray_VectorRef, TestRvalue) |
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{ |
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// Warning: this test is testing some not-very-public APIs |
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cv::detail::VectorRef vref(std::vector<int>{3, 5, -4}); |
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auto v = std::vector<int>{3, 5, -4}; |
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EXPECT_EQ(vref.rref<int>(), v); |
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} |
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TEST(GArray_VectorRef, TestReset) |
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{ |
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// Warning: this test is testing some not-very-public APIs |
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cv::detail::VectorRef vref(std::vector<int>{3, 5, -4}); |
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EXPECT_EQ(cv::detail::OpaqueKind::CV_INT, vref.getKind()); |
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vref.reset<int>(); |
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EXPECT_EQ(cv::detail::OpaqueKind::CV_INT, vref.getKind()); |
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} |
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} // namespace opencv_test
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