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3rdparty/opencv-4.5.4/modules/gapi/test/gapi_array_tests.cpp 10.3 KB
f4334277   Hu Chunming   提交3rdparty
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  // 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) 2018 Intel Corporation
  
  
  #include "test_precomp.hpp"
  
  #include <vector>
  #include <ade/util/algorithm.hpp>
  
  namespace opencv_test
  {
  
  namespace ThisTest
  {
  using GPointArray = cv::GArray<cv::Point>;
  G_TYPED_KERNEL(GeneratePoints, <GPointArray(GMat)>, "test.array.out_const")
  {
      static GArrayDesc outMeta(const GMatDesc&) { return empty_array_desc(); }
  };
  G_TYPED_KERNEL(FindCorners,    <GPointArray(GMat)>, "test.array.out")
  {
      static GArrayDesc outMeta(const GMatDesc&) { return empty_array_desc(); }
  };
  G_TYPED_KERNEL(CountCorners,   <GScalar(GPointArray)>,  "test.array.in")
  {
      static GScalarDesc outMeta(const GArrayDesc &) { return empty_scalar_desc(); }
  };
  G_TYPED_KERNEL(PointIncrement, <GPointArray(GMat, GPointArray)>, "test.point_increment")
  {
      static GArrayDesc outMeta(const GMatDesc&, const GArrayDesc&) { return empty_array_desc(); }
  };
  G_TYPED_KERNEL(CountContours, <GOpaque<size_t>(GArray<GPointArray>)>, "test.array.array.in")
  {
      static GOpaqueDesc outMeta(const GArrayDesc&) { return empty_gopaque_desc(); }
  };
  } // namespace ThisTest
  
  namespace
  {
  GAPI_OCV_KERNEL(OCVGeneratePoints, ThisTest::GeneratePoints)
  {
      static void run(cv::Mat, std::vector<cv::Point> &out)
      {
          for (int i = 0; i < 10; i++)
              out.emplace_back(i, i);
      }
  };
  
  GAPI_OCV_KERNEL(OCVFindCorners, ThisTest::FindCorners)
  {
      static void run(cv::Mat in, std::vector<cv::Point> &out)
      {
          cv::goodFeaturesToTrack(in, out, 1024, 0.01, 3);
      }
  };
  
  GAPI_OCV_KERNEL(OCVCountCorners, ThisTest::CountCorners)
  {
      static void run(const std::vector<cv::Point> &in, cv::Scalar &out)
      {
          out[0] = static_cast<double>(in.size());
      }
  };
  
  GAPI_OCV_KERNEL(OCVPointIncrement, ThisTest::PointIncrement)
  {
      static void run(const cv::Mat&, const std::vector<cv::Point>& in, std::vector<cv::Point>& out)
      {
          for (const auto& el : in)
              out.emplace_back(el + Point(1,1));
      }
  };
  
  GAPI_OCV_KERNEL(OCVCountContours, ThisTest::CountContours)
  {
      static void run(const std::vector<std::vector<cv::Point>> &contours, size_t &out)
      {
          out = contours.size();
      }
  };
  
  cv::Mat cross(int w, int h)
  {
      cv::Mat mat = cv::Mat::eye(h, w, CV_8UC1)*255;
      cv::Mat yee;
      cv::flip(mat, yee, 0); // X-axis
      mat |= yee;            // make an "X" matrix;
      return mat;
  }
  } // (anonymous namespace)
  
  TEST(GArray, TestReturnValue)
  {
      // FIXME: Make .apply() able to take compile arguments
      cv::GComputationT<ThisTest::GPointArray(cv::GMat)> c(ThisTest::FindCorners::on);
      auto cc = c.compile(cv::GMatDesc{CV_8U,1,{32,32}},
                          cv::compile_args(cv::gapi::kernels<OCVFindCorners>()));
  
      // Prepare input matrix
      cv::Mat input = cross(32, 32);
  
      std::vector<cv::Point> points;
      cc(input, points);
  
      // OCV goodFeaturesToTrack should find 5 points here (with these settings)
      EXPECT_EQ(5u, points.size());
      EXPECT_TRUE(ade::util::find(points, cv::Point(16,16)) != points.end());
      EXPECT_TRUE(ade::util::find(points, cv::Point(30,30)) != points.end());
      EXPECT_TRUE(ade::util::find(points, cv::Point( 1,30)) != points.end());
      EXPECT_TRUE(ade::util::find(points, cv::Point(30, 1)) != points.end());
      EXPECT_TRUE(ade::util::find(points, cv::Point( 1, 1)) != points.end());
  }
  
  TEST(GArray, TestInputArg)
  {
      cv::GComputationT<cv::GScalar(ThisTest::GPointArray)> c(ThisTest::CountCorners::on);
      auto cc = c.compile(cv::empty_array_desc(),
                          cv::compile_args(cv::gapi::kernels<OCVCountCorners>()));
  
      const std::vector<cv::Point> arr = {cv::Point(1,1), cv::Point(2,2)};
      cv::Scalar out;
      cc(arr, out);
      EXPECT_EQ(2, out[0]);
  }
  
  TEST(GArray, TestPipeline)
  {
      cv::GComputationT<cv::GScalar(cv::GMat)> c([](cv::GMat in)
      {
          return ThisTest::CountCorners::on(ThisTest::FindCorners::on(in));
      });
      auto cc = c.compile(cv::GMatDesc{CV_8U,1,{32,32}},
                          cv::compile_args(cv::gapi::kernels<OCVFindCorners, OCVCountCorners>()));
  
      cv::Mat input = cross(32, 32);
      cv::Scalar out;
      cc(input, out);
      EXPECT_EQ(5, out[0]);
  }
  
  TEST(GArray, NoAggregationBetweenRuns)
  {
      cv::GComputationT<cv::GScalar(cv::GMat)> c([](cv::GMat in)
      {
          return ThisTest::CountCorners::on(ThisTest::GeneratePoints::on(in));
      });
      auto cc = c.compile(cv::GMatDesc{CV_8U,1,{32,32}},
                          cv::compile_args(cv::gapi::kernels<OCVGeneratePoints, OCVCountCorners>()));
  
      cv::Mat input = cv::Mat::eye(32, 32, CV_8UC1);
      cv::Scalar out;
  
      cc(input, out);
      EXPECT_EQ(10, out[0]);
  
      // Last kernel in the graph counts number of elements in array, returned by the previous kernel
      // (in this test, this variable is constant).
      // After 10 executions, this number MUST remain the same - 1st kernel is adding new values on every
      // run, but it is graph's responsibility to reset internal object state.
      cv::Scalar out2;
      for (int i = 0; i < 10; i++)
      {
          cc(input, out2);
      }
      EXPECT_EQ(10, out2[0]);
  }
  
  TEST(GArray, TestIntermediateOutput)
  {
      using Result = std::tuple<ThisTest::GPointArray, cv::GScalar>;
      cv::GComputationT<Result(cv::GMat)> c([](cv::GMat in)
      {
          auto corners = ThisTest::GeneratePoints::on(in);
          return std::make_tuple(corners, ThisTest::CountCorners::on(corners));
      });
  
      cv::Mat in_mat = cv::Mat::eye(32, 32, CV_8UC1);
      std::vector<cv::Point> out_points;
      cv::Scalar out_count;
  
      auto cc = c.compile(cv::descr_of(in_mat),
                          cv::compile_args(cv::gapi::kernels<OCVGeneratePoints, OCVCountCorners>()));
      cc(in_mat, out_points, out_count);
  
      EXPECT_EQ(10u, out_points.size());
      EXPECT_EQ(10,  out_count[0]);
  }
  
  TEST(GArray, TestGArrayGArrayKernelInput)
  {
      cv::GMat in;
      auto contours = cv::gapi::findContours(in, cv::RETR_EXTERNAL, cv::CHAIN_APPROX_NONE);
      auto out = ThisTest::CountContours::on(contours);
      cv::GComputation c(GIn(in), GOut(out));
  
      // Create input - two filled rectangles
      cv::Mat in_mat = cv::Mat::zeros(50, 50, CV_8UC1);
      cv::rectangle(in_mat, cv::Point{5,5},   cv::Point{20,20}, 255, cv::FILLED);
      cv::rectangle(in_mat, cv::Point{25,25}, cv::Point{40,40}, 255, cv::FILLED);
  
      size_t out_count = 0u;
      c.apply(gin(in_mat), gout(out_count), cv::compile_args(cv::gapi::kernels<OCVCountContours>()));
  
      EXPECT_EQ(2u, out_count) << "Two contours must be found";
  }
  
  TEST(GArray, GArrayConstValInitialization)
  {
      std::vector<cv::Point> initial_vec {Point(0,0), Point(1,1), Point(2,2)};
      std::vector<cv::Point> ref_vec     {Point(1,1), Point(2,2), Point(3,3)};
      std::vector<cv::Point> out_vec;
      cv::Mat in_mat = cv::Mat::eye(32, 32, CV_8UC1);
  
      cv::GComputationT<ThisTest::GPointArray(cv::GMat)> c([&](cv::GMat in)
      {
          // Initialization
          ThisTest::GPointArray test_garray(initial_vec);
          return ThisTest::PointIncrement::on(in, test_garray);
      });
      auto cc = c.compile(cv::descr_of(in_mat),
                          cv::compile_args(cv::gapi::kernels<OCVPointIncrement>()));
      cc(in_mat, out_vec);
  
      EXPECT_EQ(ref_vec, out_vec);
  }
  
  TEST(GArray, GArrayRValInitialization)
  {
      std::vector<cv::Point> ref_vec {Point(1,1), Point(2,2), Point(3,3)};
      std::vector<cv::Point> out_vec;
      cv::Mat in_mat = cv::Mat::eye(32, 32, CV_8UC1);
  
      cv::GComputationT<ThisTest::GPointArray(cv::GMat)> c([&](cv::GMat in)
      {
          // Rvalue initialization
          ThisTest::GPointArray test_garray({Point(0,0), Point(1,1), Point(2,2)});
          return ThisTest::PointIncrement::on(in, test_garray);
      });
      auto cc = c.compile(cv::descr_of(in_mat),
                          cv::compile_args(cv::gapi::kernels<OCVPointIncrement>()));
      cc(in_mat, out_vec);
  
      EXPECT_EQ(ref_vec, out_vec);
  }
  
  TEST(GArray_VectorRef, TestMov)
  {
      // Warning: this test is testing some not-very-public APIs
      // Test how VectorRef's mov() (aka poor man's move()) is working.
  
      using I = int;
      using V = std::vector<I>;
      const V vgold = { 1, 2, 3};
      V vtest = vgold;
      const I* vptr = vtest.data();
  
      cv::detail::VectorRef vref(vtest);
      cv::detail::VectorRef vmov;
      vmov.reset<I>();
  
      EXPECT_EQ(vgold, vref.rref<I>());
  
      vmov.mov(vref);
      EXPECT_EQ(vgold, vmov.rref<I>());
      EXPECT_EQ(vptr,  vmov.rref<I>().data());
      EXPECT_EQ(V{}, vref.rref<I>());
      EXPECT_EQ(V{}, vtest);
  }
  
  // types from anonymous namespace doesn't work well with templates
  inline namespace gapi_array_tests {
      struct MyTestStruct {
          int i;
          float f;
          std::string name;
      };
  }
  
  TEST(GArray_VectorRef, Kind)
  {
      cv::detail::VectorRef v1(std::vector<cv::Rect>{});
      EXPECT_EQ(cv::detail::OpaqueKind::CV_RECT, v1.getKind());
  
      cv::detail::VectorRef v2(std::vector<cv::Mat>{});
      EXPECT_EQ(cv::detail::OpaqueKind::CV_MAT,  v2.getKind());
  
      cv::detail::VectorRef v3(std::vector<int>{});
      EXPECT_EQ(cv::detail::OpaqueKind::CV_INT, v3.getKind());
  
      cv::detail::VectorRef v4(std::vector<double>{});
      EXPECT_EQ(cv::detail::OpaqueKind::CV_DOUBLE, v4.getKind());
  
      cv::detail::VectorRef v5(std::vector<cv::Scalar>{});
      EXPECT_EQ(cv::detail::OpaqueKind::CV_SCALAR, v5.getKind());
  
      cv::detail::VectorRef v6(std::vector<cv::Point>{});
      EXPECT_EQ(cv::detail::OpaqueKind::CV_POINT, v6.getKind());
  
      cv::detail::VectorRef v7(std::vector<cv::Size>{});
      EXPECT_EQ(cv::detail::OpaqueKind::CV_SIZE, v7.getKind());
  
      cv::detail::VectorRef v8(std::vector<std::string>{});
      EXPECT_EQ(cv::detail::OpaqueKind::CV_STRING, v8.getKind());
  
      cv::detail::VectorRef v9(std::vector<MyTestStruct>{});
      EXPECT_EQ(cv::detail::OpaqueKind::CV_UNKNOWN, v9.getKind());
  }
  
  TEST(GArray_VectorRef, TestRvalue)
  {
      // Warning: this test is testing some not-very-public APIs
      cv::detail::VectorRef vref(std::vector<int>{3, 5, -4});
      auto v = std::vector<int>{3, 5, -4};
      EXPECT_EQ(vref.rref<int>(), v);
  }
  
  TEST(GArray_VectorRef, TestReset)
  {
      // Warning: this test is testing some not-very-public APIs
      cv::detail::VectorRef vref(std::vector<int>{3, 5, -4});
      EXPECT_EQ(cv::detail::OpaqueKind::CV_INT, vref.getKind());
      vref.reset<int>();
      EXPECT_EQ(cv::detail::OpaqueKind::CV_INT, vref.getKind());
  }
  } // namespace opencv_test