opencv/modules/gapi/test/gapi_array_tests.cpp
Dmitry Matveev f0c411d8b5
Merge pull request #17502 from dmatveev:dm/infer2
* G-API: Introduce a new gapi::infer2 overload + gaze estimation sample

* G-API/infer2: Introduced static type checking for infer2

- Also added extra tests on the type check routine

* G-API/infer2: Addressed self-review comments in the sample app

- Also fix build on Linux;

* G-API/infer2: Remove incorrect SetLayout(HWC) + dead code

- Also fixed comments in the backend

* G-API/infer2: Continue with self-review

- Fix warnings/compile errors in gaze estimation
- Dropped the use of RTTI (VectorRef::holds()) from the giebackend
- Replaced it with a trait-based enums for GArray<T> and std::vector<T>
- The enums and traits are temporary and need to be unified with
  the S11N when it comes

* G-API/infer2: Final self-review items

- Refactored ROIList test to cover 70% for infer<> and infer2<>;
- Fixed the model data discovery routine to be compatible with new
  OpenVINO;
- Hopefully fixed the final issues (warnings) with the sample.

* G-API/infer2: address review problems

- Fixed typo in comments;
- Fixed public (Doxygen) comment on GArray<GMat> input case for infer2;
- Made model lookup more flexible to allow new & old OMZ dir layouts.

* G-API/infer2: Change the model paths again

* G-API/infer2: Change the lookup path for test data

* G-API/infer2: use randu instead of imread. CI war is over
2020-07-14 11:06:49 +03:00

206 lines
6.1 KiB
C++

// 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(); }
};
} // 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());
}
};
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_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);
}
TEST(GArray_VectorRef, Spec)
{
cv::detail::VectorRef v1(std::vector<cv::Rect>{});
EXPECT_EQ(cv::detail::TypeSpec::RECT, v1.spec());
cv::detail::VectorRef v2(std::vector<cv::Mat>{});
EXPECT_EQ(cv::detail::TypeSpec::MAT, v2.spec());
cv::detail::VectorRef v3(std::vector<int>{});
EXPECT_EQ(cv::detail::TypeSpec::OPAQUE_SPEC, v3.spec());
cv::detail::VectorRef v4(std::vector<std::string>{});
EXPECT_EQ(cv::detail::TypeSpec::OPAQUE_SPEC, v4.spec());
}
} // namespace opencv_test