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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 "../common/gapi_tests_common.hpp"
#include "api/gcomputation_priv.hpp"
#include <opencv2/gapi/fluid/gfluidkernel.hpp>
#include <opencv2/gapi/fluid/core.hpp>
#include <opencv2/gapi/fluid/imgproc.hpp>
namespace opencv_test
{
TEST(GComputationCompile, NoRecompileWithSameMeta)
{
cv::GMat in;
cv::GComputation cc(in, in+in);
cv::Mat in_mat1 = cv::Mat::eye (32, 32, CV_8UC1);
cv::Mat in_mat2 = cv::Mat::zeros(32, 32, CV_8UC1);
cv::Mat out_mat;
cc.apply(in_mat1, out_mat);
auto comp1 = cc.priv().m_lastCompiled;
cc.apply(in_mat2, out_mat);
auto comp2 = cc.priv().m_lastCompiled;
// Both compiled objects are actually the same unique executable
EXPECT_EQ(&comp1.priv(), &comp2.priv());
}
TEST(GComputationCompile, NoRecompileWithWrongMeta)
{
cv::GMat in;
cv::GComputation cc(in, in+in);
cv::Mat in_mat1 = cv::Mat::eye (32, 32, CV_8UC1);
cv::Mat in_mat2 = cv::Mat::zeros(32, 32, CV_8UC1);
cv::Mat out_mat;
cc.apply(in_mat1, out_mat);
auto comp1 = cc.priv().m_lastCompiled;
EXPECT_THROW(cc.apply(cv::gin(cv::Scalar(128)), cv::gout(out_mat)), std::logic_error);
auto comp2 = cc.priv().m_lastCompiled;
// Both compiled objects are actually the same unique executable
EXPECT_EQ(&comp1.priv(), &comp2.priv());
}
TEST(GComputationCompile, RecompileWithDifferentMeta)
{
cv::GMat in;
cv::GComputation cc(in, in+in);
cv::Mat in_mat1 = cv::Mat::eye (32, 32, CV_8UC1);
cv::Mat in_mat2 = cv::Mat::zeros(64, 64, CV_32F);
cv::Mat out_mat;
cc.apply(in_mat1, out_mat);
auto comp1 = cc.priv().m_lastCompiled;
cc.apply(in_mat2, out_mat);
auto comp2 = cc.priv().m_lastCompiled;
// Both compiled objects are different
EXPECT_NE(&comp1.priv(), &comp2.priv());
}
TEST(GComputationCompile, FluidReshapeWithDifferentDims)
{
cv::GMat in;
cv::GComputation cc(in, in+in);
cv::Mat in_mat1 = cv::Mat::eye (32, 32, CV_8UC1);
cv::Mat in_mat2 = cv::Mat::zeros(64, 64, CV_8UC1);
cv::Mat out_mat;
cc.apply(in_mat1, out_mat, cv::compile_args(cv::gapi::core::fluid::kernels()));
auto comp1 = cc.priv().m_lastCompiled;
cc.apply(in_mat2, out_mat);
auto comp2 = cc.priv().m_lastCompiled;
// Both compiled objects are actually the same unique executable
EXPECT_EQ(&comp1.priv(), &comp2.priv());
}
TEST(GComputationCompile, FluidReshapeResizeDownScale)
{
cv::Size szOut(4, 4);
cv::GMat in;
cv::GComputation cc(in, cv::gapi::resize(in, szOut));
cv::Mat in_mat1( 8, 8, CV_8UC3);
cv::Mat in_mat2(16, 16, CV_8UC3);
cv::randu(in_mat1, cv::Scalar::all(0), cv::Scalar::all(255));
cv::randu(in_mat2, cv::Scalar::all(0), cv::Scalar::all(255));
cv::Mat out_mat1, out_mat2;
cc.apply(in_mat1, out_mat1, cv::compile_args(cv::gapi::imgproc::fluid::kernels()));
auto comp1 = cc.priv().m_lastCompiled;
cc.apply(in_mat2, out_mat2);
auto comp2 = cc.priv().m_lastCompiled;
// Both compiled objects are actually the same unique executable
EXPECT_EQ(&comp1.priv(), &comp2.priv());
cv::Mat cv_out_mat1, cv_out_mat2;
cv::resize(in_mat1, cv_out_mat1, szOut);
cv::resize(in_mat2, cv_out_mat2, szOut);
// Fluid's and OpenCV's resizes aren't bit exact.
// So 1 is here because it is max difference between them.
EXPECT_TRUE(Tolerance_FloatRel_IntAbs(1e-5, 1).to_compare_f()(out_mat1, cv_out_mat1));
EXPECT_TRUE(Tolerance_FloatRel_IntAbs(1e-5, 1).to_compare_f()(out_mat2, cv_out_mat2));
}
TEST(GComputationCompile, FluidReshapeSwitchToUpscaleFromDownscale)
{
cv::Size szOut(4, 4);
cv::GMat in;
cv::GComputation cc(in, cv::gapi::resize(in, szOut));
cv::Mat in_mat1( 8, 8, CV_8UC3);
cv::Mat in_mat2( 2, 2, CV_8UC3);
cv::Mat in_mat3(16, 16, CV_8UC3);
cv::randu(in_mat1, cv::Scalar::all(0), cv::Scalar::all(255));
cv::randu(in_mat2, cv::Scalar::all(0), cv::Scalar::all(255));
cv::randu(in_mat3, cv::Scalar::all(0), cv::Scalar::all(255));
cv::Mat out_mat1, out_mat2, out_mat3;
cc.apply(in_mat1, out_mat1, cv::compile_args(cv::gapi::imgproc::fluid::kernels()));
auto comp1 = cc.priv().m_lastCompiled;
cc.apply(in_mat2, out_mat2);
auto comp2 = cc.priv().m_lastCompiled;
cc.apply(in_mat3, out_mat3);
auto comp3 = cc.priv().m_lastCompiled;
EXPECT_EQ(&comp1.priv(), &comp2.priv());
EXPECT_EQ(&comp1.priv(), &comp3.priv());
cv::Mat cv_out_mat1, cv_out_mat2, cv_out_mat3;
cv::resize(in_mat1, cv_out_mat1, szOut);
cv::resize(in_mat2, cv_out_mat2, szOut);
cv::resize(in_mat3, cv_out_mat3, szOut);
// Fluid's and OpenCV's Resizes aren't bit exact.
// So 1 is here because it is max difference between them.
EXPECT_TRUE(Tolerance_FloatRel_IntAbs(1e-5, 1).to_compare_f()(out_mat1, cv_out_mat1));
EXPECT_TRUE(Tolerance_FloatRel_IntAbs(1e-5, 1).to_compare_f()(out_mat2, cv_out_mat2));
EXPECT_TRUE(Tolerance_FloatRel_IntAbs(1e-5, 1).to_compare_f()(out_mat3, cv_out_mat3));
}
TEST(GComputationCompile, ReshapeBlur)
{
cv::Size kernelSize{3, 3};
cv::GMat in;
cv::GComputation cc(in, cv::gapi::blur(in, kernelSize));
cv::Mat in_mat1( 8, 8, CV_8UC1);
cv::Mat in_mat2(16, 16, CV_8UC1);
cv::randu(in_mat1, cv::Scalar::all(0), cv::Scalar::all(255));
cv::randu(in_mat2, cv::Scalar::all(0), cv::Scalar::all(255));
cv::Mat out_mat1, out_mat2;
cc.apply(in_mat1, out_mat1, cv::compile_args(cv::gapi::imgproc::fluid::kernels()));
auto comp1 = cc.priv().m_lastCompiled;
cc.apply(in_mat2, out_mat2);
auto comp2 = cc.priv().m_lastCompiled;
// Both compiled objects are actually the same unique executable
EXPECT_EQ(&comp1.priv(), &comp2.priv());
cv::Mat cv_out_mat1, cv_out_mat2;
cv::blur(in_mat1, cv_out_mat1, kernelSize);
cv::blur(in_mat2, cv_out_mat2, kernelSize);
EXPECT_EQ(0, cvtest::norm(out_mat1, cv_out_mat1, NORM_INF));
EXPECT_EQ(0, cvtest::norm(out_mat2, cv_out_mat2, NORM_INF));
}
TEST(GComputationCompile, ReshapeRois)
{
cv::Size kernelSize{3, 3};
cv::Size szOut(8, 8);
cv::GMat in;
auto blurred = cv::gapi::blur(in, kernelSize);
cv::GComputation cc(in, cv::gapi::resize(blurred, szOut));
cv::Mat first_in_mat(8, 8, CV_8UC3);
cv::randn(first_in_mat, cv::Scalar::all(127), cv::Scalar::all(40.f));
cv::Mat first_out_mat;
auto fluidKernels = cv::gapi::combine(gapi::imgproc::fluid::kernels(),
gapi::core::fluid::kernels());
cc.apply(first_in_mat, first_out_mat, cv::compile_args(fluidKernels));
auto first_comp = cc.priv().m_lastCompiled;
constexpr int niter = 4;
for (int i = 0; i < niter; i++)
{
int width = 4 + 2*i;
int height = width;
cv::Mat in_mat(width, height, CV_8UC3);
cv::randn(in_mat, cv::Scalar::all(127), cv::Scalar::all(40.f));
cv::Mat out_mat = cv::Mat::zeros(szOut, CV_8UC3);
int x = 0;
int y = szOut.height * i / niter;
int roiW = szOut.width;
int roiH = szOut.height / niter;
cv::Rect roi{x, y, roiW, roiH};
cc.apply(in_mat, out_mat, cv::compile_args(cv::GFluidOutputRois{{roi}}));
auto comp = cc.priv().m_lastCompiled;
EXPECT_EQ(&first_comp.priv(), &comp.priv());
cv::Mat blur_mat, cv_out_mat;
cv::blur(in_mat, blur_mat, kernelSize);
cv::resize(blur_mat, cv_out_mat, szOut);
// Fluid's and OpenCV's resizes aren't bit exact.
// So 1 is here because it is max difference between them.
EXPECT_TRUE(Tolerance_FloatRel_IntAbs(1e-5, 1).to_compare_f()(out_mat(roi), cv_out_mat(roi)));
}
}
} // opencv_test
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