nony/opencv-wasm
1
0
Fork 0
Code Issues Pull Requests Packages Projects Releases Wiki Activity

init - 初始化项目

Browse Source
This commit is contained in:
Lee Nony
2022-05-06 01:58:53 +08:00
commit 90a5cc7cb6
6772 changed files with 2837787 additions and 0 deletions
Download Patch File Download Diff File Expand all files Collapse all files

628
modules/gapi/test/cpu/gapi_core_tests_cpu.cpp Normal file
View File

@@ -0,0 +1,628 @@
// 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) 2018-2021 Intel Corporation
#include "../test_precomp.hpp"
#include "../common/gapi_core_tests.hpp"
#include <opencv2/gapi/cpu/core.hpp>
namespace
{
#define CORE_CPU [] () { return cv::compile_args(cv::gapi::use_only{cv::gapi::core::cpu::kernels()}); }
} // anonymous namespace
namespace opencv_test
{
// FIXME: Wut? See MulTestCPU/MathOpTest below (duplicate?)
INSTANTIATE_TEST_CASE_P(AddTestCPU, MathOpTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values( -1, CV_8U, CV_16U, CV_32F ),
Values(CORE_CPU),
Values(ADD, MUL),
testing::Bool(),
Values(1.0),
Values(false)));
INSTANTIATE_TEST_CASE_P(MulTestCPU, MathOpTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values( -1, CV_8U, CV_16U, CV_32F ),
Values(CORE_CPU),
Values(MUL),
testing::Bool(),
Values(1.0, 0.5, 2.0),
Values(false)));
INSTANTIATE_TEST_CASE_P(SubTestCPU, MathOpTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values( -1, CV_8U, CV_16U, CV_32F ),
Values(CORE_CPU),
Values(SUB),
testing::Bool(),
Values (1.0),
testing::Bool()));
INSTANTIATE_TEST_CASE_P(DivTestCPU, MathOpTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values( -1, CV_8U, CV_16U, CV_32F ),
Values(CORE_CPU),
Values(DIV),
testing::Bool(),
Values (1.0, 0.5, 2.0),
testing::Bool()));
INSTANTIATE_TEST_CASE_P(MulTestCPU, MulDoubleTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values( -1, CV_8U, CV_16U, CV_32F ),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(DivTestCPU, DivTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values( -1, CV_8U, CV_16U, CV_32F ),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(DivCTestCPU, DivCTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values( -1, CV_8U, CV_16U, CV_32F ),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(MeanTestCPU, MeanTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(MaskTestCPU, MaskTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(SelectTestCPU, SelectTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(Polar2CartCPU, Polar2CartTest,
Combine(Values(CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(CV_32FC1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(Cart2PolarCPU, Cart2PolarTest,
Combine(Values(CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(CV_32FC1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(PhaseCPU, PhaseTest,
Combine(Values(CV_32F, CV_32FC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU),
/* angle_in_degrees */ testing::Bool()));
INSTANTIATE_TEST_CASE_P(SqrtCPU, SqrtTest,
Combine(Values(CV_32F, CV_32FC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(CompareTestCPU, CmpTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(CV_8U),
Values(CORE_CPU),
Values(CMP_EQ, CMP_GE, CMP_NE, CMP_GT, CMP_LT, CMP_LE),
testing::Bool(),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(BitwiseTestCPU, BitwiseTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU),
Values(AND, OR, XOR),
testing::Bool()));
INSTANTIATE_TEST_CASE_P(BitwiseNotTestCPU, NotTest,
Combine(Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(MinTestCPU, MinTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(MaxTestCPU, MaxTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(SumTestCPU, SumTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
//Values(1e-5),
Values(CORE_CPU),
Values(AbsToleranceScalar(1e-5).to_compare_obj())));
INSTANTIATE_TEST_CASE_P(CountNonZeroTestCPU, CountNonZeroTest,
Combine(Values( CV_8UC1, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU),
Values(AbsToleranceScalar(1e-5).to_compare_obj())));
INSTANTIATE_TEST_CASE_P(AbsDiffTestCPU, AbsDiffTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(AbsDiffCTestCPU, AbsDiffCTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(AddWeightedTestCPU, AddWeightedTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values( -1, CV_8U, CV_16U, CV_32F ),
Values(CORE_CPU),
Values(Tolerance_FloatRel_IntAbs(1e-6, 1).to_compare_obj())));
INSTANTIATE_TEST_CASE_P(NormTestCPU, NormTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU),
Values(AbsToleranceScalar(1e-5).to_compare_obj()),
Values(NORM_INF, NORM_L1, NORM_L2)));
INSTANTIATE_TEST_CASE_P(IntegralTestCPU, IntegralTest,
Combine(Values( CV_8UC1, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(ThresholdTestCPU, ThresholdTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU),
Values(cv::THRESH_BINARY, cv::THRESH_BINARY_INV, cv::THRESH_TRUNC,
cv::THRESH_TOZERO, cv::THRESH_TOZERO_INV),
Values(cv::Scalar(0, 0, 0, 0),
cv::Scalar(100, 100, 100, 100),
cv::Scalar(255, 255, 255, 255))));
INSTANTIATE_TEST_CASE_P(ThresholdTestCPU, ThresholdOTTest,
Combine(Values(CV_8UC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU),
Values(cv::THRESH_OTSU, cv::THRESH_TRIANGLE)));
INSTANTIATE_TEST_CASE_P(InRangeTestCPU, InRangeTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(Split3TestCPU, Split3Test,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(CV_8UC1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(Split4TestCPU, Split4Test,
Combine(Values(CV_8UC4),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(CV_8UC1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(ResizeTestCPU, ResizeTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU),
Values(AbsSimilarPoints(2, 0.05).to_compare_obj()),
Values(cv::INTER_NEAREST, cv::INTER_LINEAR, cv::INTER_AREA),
Values(cv::Size(64,64),
cv::Size(30,30))));
INSTANTIATE_TEST_CASE_P(ResizePTestCPU, ResizePTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU),
Values(AbsSimilarPoints(2, 0.05).to_compare_obj()),
Values(cv::INTER_LINEAR),
Values(cv::Size(64,64),
cv::Size(30,30))));
INSTANTIATE_TEST_CASE_P(ResizeTestCPU, ResizeTestFxFy,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU),
Values(AbsSimilarPoints(2, 0.05).to_compare_obj()),
Values(cv::INTER_NEAREST, cv::INTER_LINEAR, cv::INTER_AREA),
Values(0.5, 0.1),
Values(0.5, 0.1)));
INSTANTIATE_TEST_CASE_P(Merge3TestCPU, Merge3Test,
Combine(Values(CV_8UC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(CV_8UC3),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(Merge4TestCPU, Merge4Test,
Combine(Values(CV_8UC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(CV_8UC4),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(RemapTestCPU, RemapTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(FlipTestCPU, FlipTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU),
Values(0,1,-1)));
INSTANTIATE_TEST_CASE_P(CropTestCPU, CropTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU),
Values(cv::Rect(10, 8, 20, 35), cv::Rect(4, 10, 37, 50))));
INSTANTIATE_TEST_CASE_P(CopyTestCPU, CopyTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(LUTTestCPU, LUTTest,
Combine(Values(CV_8UC1, CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(CV_8UC1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(LUTTestCustomCPU, LUTTest,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(CV_8UC3),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(ConvertToCPU, ConvertToTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(CV_8U, CV_16U, CV_16S, CV_32F),
Values(CORE_CPU),
Values(AbsExact().to_compare_obj()),
Values(2.5, 1.0, -1.0),
Values(250.0, 0.0, -128.0)));
INSTANTIATE_TEST_CASE_P(ConcatHorTestCPU, ConcatHorTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(ConcatVertTestCPU, ConcatVertTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(ConcatVertVecTestCPU, ConcatVertVecTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(ConcatHorVecTestCPU, ConcatHorVecTest,
Combine(Values( CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(WarpPerspectiveTestCPU, WarpPerspectiveTest,
Combine(Values(CV_8UC1, CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1),
Values(CORE_CPU),
Values(AbsExact().to_compare_obj()),
Values(-50.0, 90.0),
Values(0.6),
Values(cv::INTER_LINEAR),
Values(cv::BORDER_CONSTANT),
Values(cv::Scalar())));
INSTANTIATE_TEST_CASE_P(WarpAffineTestCPU, WarpAffineTest,
Combine(Values(CV_8UC1, CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1),
Values(CORE_CPU),
Values(AbsExact().to_compare_obj()),
Values(-50.0, 90.0),
Values(0.6),
Values(cv::INTER_LINEAR),
Values(cv::BORDER_CONSTANT),
Values(cv::Scalar())));
INSTANTIATE_TEST_CASE_P(NormalizeTestCPU, NormalizeTest,
Combine(Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1),
Values(CORE_CPU),
Values(AbsExact().to_compare_obj()),
Values(0.0, 15.0),
Values(1.0, 120.0, 255.0),
Values(NORM_MINMAX, NORM_INF, NORM_L1, NORM_L2),
Values(-1, CV_8U, CV_16U, CV_16S, CV_32F)));
INSTANTIATE_TEST_CASE_P(KMeansNDNoInitTestCPU, KMeansNDTest,
Combine(Values(CV_32FC1),
Values(cv::Size(2, 20)),
Values(-1),
Values(CORE_CPU),
Values(AbsTolerance(0.01).to_compare_obj()),
Values(5),
Values(cv::KMEANS_RANDOM_CENTERS, cv::KMEANS_PP_CENTERS)));
INSTANTIATE_TEST_CASE_P(KMeansNDInitTestCPU, KMeansNDTest,
Combine(Values(CV_32FC1, CV_32FC3),
Values(cv::Size(1, 20),
cv::Size(2, 20),
cv::Size(5, 720)),
Values(-1),
Values(CORE_CPU),
Values(AbsTolerance(0.01).to_compare_obj()),
Values(5, 15),
Values(cv::KMEANS_RANDOM_CENTERS | cv::KMEANS_USE_INITIAL_LABELS,
cv::KMEANS_PP_CENTERS | cv::KMEANS_USE_INITIAL_LABELS)));
INSTANTIATE_TEST_CASE_P(KMeansNDInitReverseTestCPU, KMeansNDTest,
Combine(Values(CV_32FC3),
Values(cv::Size(20, 1)),
Values(-1),
Values(CORE_CPU),
Values(AbsTolerance(0.01).to_compare_obj()),
Values(5, 15),
Values(cv::KMEANS_RANDOM_CENTERS | cv::KMEANS_USE_INITIAL_LABELS,
cv::KMEANS_PP_CENTERS | cv::KMEANS_USE_INITIAL_LABELS)));
INSTANTIATE_TEST_CASE_P(KMeans2DNoInitTestCPU, KMeans2DTest,
Combine(Values(-1),
Values(cv::Size(-1, 20)),
Values(-1),
Values(CORE_CPU),
Values(5),
Values(cv::KMEANS_RANDOM_CENTERS, cv::KMEANS_PP_CENTERS)));
INSTANTIATE_TEST_CASE_P(KMeans2DInitTestCPU, KMeans2DTest,
Combine(Values(-1),
Values(cv::Size(-1, 720),
cv::Size(-1, 20)),
Values(-1),
Values(CORE_CPU),
Values(5, 15),
Values(cv::KMEANS_RANDOM_CENTERS | cv::KMEANS_USE_INITIAL_LABELS,
cv::KMEANS_PP_CENTERS | cv::KMEANS_USE_INITIAL_LABELS)));
INSTANTIATE_TEST_CASE_P(KMeans3DNoInitTestCPU, KMeans3DTest,
Combine(Values(-1),
Values(cv::Size(-1, 20)),
Values(-1),
Values(CORE_CPU),
Values(5),
Values(cv::KMEANS_RANDOM_CENTERS, cv::KMEANS_PP_CENTERS)));
INSTANTIATE_TEST_CASE_P(KMeans3DInitTestCPU, KMeans3DTest,
Combine(Values(-1),
Values(cv::Size(-1, 720),
cv::Size(-1, 20)),
Values(-1),
Values(CORE_CPU),
Values(5, 15),
Values(cv::KMEANS_RANDOM_CENTERS | cv::KMEANS_USE_INITIAL_LABELS,
cv::KMEANS_PP_CENTERS | cv::KMEANS_USE_INITIAL_LABELS)));
// PLEASE DO NOT PUT NEW ACCURACY TESTS BELOW THIS POINT! //////////////////////
INSTANTIATE_TEST_CASE_P(BackendOutputAllocationTestCPU, BackendOutputAllocationTest,
Combine(Values(CV_8UC3, CV_16SC2, CV_32FC1),
Values(cv::Size(50, 50)),
Values(-1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(BackendOutputAllocationLargeSizeWithCorrectSubmatrixTestCPU,
BackendOutputAllocationLargeSizeWithCorrectSubmatrixTest,
Combine(Values(CV_8UC3, CV_16SC2, CV_32FC1),
Values(cv::Size(50, 50)),
Values(-1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(ReInitOutTestCPU, ReInitOutTest,
Combine(Values(CV_8UC3, CV_16SC4, CV_32FC1),
Values(cv::Size(640, 480)),
Values(-1),
Values(CORE_CPU),
Values(cv::Size(640, 400),
cv::Size(10, 480))));
INSTANTIATE_TEST_CASE_P(ParseTestCPU, ParseSSDBLTest,
Combine(Values(CV_8UC1, CV_8UC3, CV_32FC1),
Values(cv::Size(1920, 1080)),
Values(-1),
Values(CORE_CPU),
Values(0.3f, 0.5f, 0.7f),
Values(-1, 0, 1)));
INSTANTIATE_TEST_CASE_P(ParseTestCPU, ParseSSDTest,
Combine(Values(CV_8UC1, CV_8UC3, CV_32FC1),
Values(cv::Size(1920, 1080)),
Values(-1),
Values(CORE_CPU),
Values(0.3f, 0.5f, 0.7f),
testing::Bool(),
testing::Bool()));
INSTANTIATE_TEST_CASE_P(ParseTestCPU, ParseYoloTest,
Combine(Values(CV_8UC1, CV_8UC3, CV_32FC1),
Values(cv::Size(1920, 1080)),
Values(-1),
Values(CORE_CPU),
Values(0.3f, 0.5f, 0.7f),
Values(0.5f, 1.0f),
Values(80, 7),
Values(std::make_pair(false, 3),
std::make_pair(false, 4),
std::make_pair(true, 2),
std::make_pair(true, 3),
std::make_pair(true, 4))));
INSTANTIATE_TEST_CASE_P(SizeTestCPU, SizeTest,
Combine(Values(CV_8UC1, CV_8UC3, CV_32FC1),
Values(cv::Size(32, 32),
cv::Size(640, 320)),
Values(-1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(SizeRTestCPU, SizeRTest,
Combine(Values(CV_8UC1, CV_8UC3, CV_32FC1),
Values(cv::Size(32, 32),
cv::Size(640, 320)),
Values(-1),
Values(CORE_CPU)));
INSTANTIATE_TEST_CASE_P(SizeMFTestCPU, SizeMFTest,
Combine(Values(CV_8UC1, CV_8UC3, CV_32FC1),
Values(cv::Size(32, 32),
cv::Size(640, 320)),
Values(-1),
Values(CORE_CPU)));
}

438
modules/gapi/test/cpu/gapi_core_tests_fluid.cpp Normal file
View File

@@ -0,0 +1,438 @@
// 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) 2018-2019 Intel Corporation
#include "../test_precomp.hpp"
#include "../common/gapi_core_tests.hpp"
namespace
{
#define CORE_FLUID [] () { return cv::compile_args(cv::gapi::use_only{cv::gapi::core::fluid::kernels()}); }
} // anonymous namespace
namespace opencv_test
{
// FIXME: Windows accuracy problems after recent update!
INSTANTIATE_TEST_CASE_P(MathOpTestFluid, MathOpTest,
Combine(Values(CV_8UC3, CV_8UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1920, 1080),
cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1, CV_8U, CV_32F),
Values(CORE_FLUID),
Values(DIV, MUL),
testing::Bool(),
Values(1.0),
testing::Bool()));
// FIXME: Accuracy test for SUB math operation fails on FullHD and HD CV_16SC1 input cv::Mat,
// double-presicion input cv::Scalar and CV_32FC1 output cv::Mat on Mac.
// Accuracy test for ADD math operation fails on HD CV_16SC1 input cv::Mat,
// double-presicion input cv::Scalar and CV_32FC1 output cv::Mat on Mac.
// As failures are sporadic, disabling all instantiation cases for SUB and ADD.
// Github ticket: https://github.com/opencv/opencv/issues/18373.
INSTANTIATE_TEST_CASE_P(DISABLED_MathOpTestFluid, MathOpTest,
Combine(Values(CV_8UC3, CV_8UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1920, 1080),
cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1, CV_8U, CV_32F),
Values(CORE_FLUID),
Values(ADD, SUB),
testing::Bool(),
Values(1.0),
testing::Bool()));
// FIXME: Accuracy test for SUB math operation fails on CV_16SC1 input cv::Mat, double-presicion
// input cv::Scalar and CV_32FC1 output cv::Mat on Mac.
// As failures are sporadic, disabling all instantiation cases for SUB operation.
// Github ticket: https://github.com/opencv/opencv/issues/18373.
INSTANTIATE_TEST_CASE_P(DISABLED_SubTestFluid, MathOpTest,
Combine(Values(CV_8UC1, CV_16SC1 , CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1, CV_8U, CV_32F),
Values(CORE_FLUID),
Values(SUB),
testing::Bool(),
Values (1.0),
testing::Bool()));
INSTANTIATE_TEST_CASE_P(MulSTestFluid, MulDoubleTest,
Combine(Values(CV_8UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1), // FIXME: extend with more types
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(DivCTestFluid, DivCTest,
Combine(Values(CV_8UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(CV_8U, CV_32F),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(DISABLED_MeanTestFluid, MeanTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(MaskTestFluid, MaskTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(AbsDiffTestFluid, AbsDiffTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(AbsDiffCTestFluid, AbsDiffCTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1, CV_8UC2,
CV_16UC2, CV_16SC2, CV_8UC3, CV_16UC3,
CV_16SC3, CV_8UC4, CV_16UC4, CV_16SC4),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(BitwiseTestFluid, BitwiseTest,
Combine(Values(CV_8UC3, CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1920, 1080),
cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID),
Values(AND, OR, XOR),
testing::Bool()));
INSTANTIATE_TEST_CASE_P(BitwiseNotTestFluid, NotTest,
Combine(Values(CV_8UC3, CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1920, 1080),
cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(MinTestFluid, MinTest,
Combine(Values(CV_8UC3, CV_8UC1, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1920, 1080),
cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(MaxTestFluid, MaxTest,
Combine(Values(CV_8UC3, CV_8UC1, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1920, 1080),
cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(DISABLED_SumTestFluid, SumTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID),
Values(AbsToleranceScalar(1e-5).to_compare_obj())));
INSTANTIATE_TEST_CASE_P(CompareTestFluid, CmpTest,
Combine(Values(CV_8UC3, CV_8UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1920, 1080),
cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(CV_8U),
Values(CORE_FLUID),
Values(CMP_EQ, CMP_GE, CMP_NE, CMP_GT, CMP_LT, CMP_LE),
Values(false),
Values(AbsExact().to_compare_obj())));
// FIXME: solve comparison error to unite with the test above
INSTANTIATE_TEST_CASE_P(CompareTestFluidScalar, CmpTest,
Combine(Values(CV_8UC3, CV_8UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1920, 1080),
cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(CV_8U),
Values(CORE_FLUID),
Values(CMP_EQ, CMP_GE, CMP_NE, CMP_GT, CMP_LT, CMP_LE),
Values(true),
Values(AbsSimilarPoints(1, 0.01).to_compare_obj())));
INSTANTIATE_TEST_CASE_P(AddWeightedTestFluid, AddWeightedTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1, CV_8U, CV_32F),
Values(CORE_FLUID),
Values(Tolerance_FloatRel_IntAbs(1e-5, 2).to_compare_obj())));
INSTANTIATE_TEST_CASE_P(DISABLED_NormTestFluid, NormTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID),
Values(AbsToleranceScalar(1e-5).to_compare_obj()),
Values(NORM_INF, NORM_L1, NORM_L2)));
INSTANTIATE_TEST_CASE_P(DISABLED_IntegralTestFluid, IntegralTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(LUTTestFluid, LUTTest,
Combine(Values(CV_8UC1, CV_8UC3),
Values(cv::Size(1920, 1080),
cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(CV_8UC1),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(ConvertToFluid, ConvertToTest,
Combine(Values(CV_8UC3, CV_8UC1, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(CV_8U, CV_16U, CV_16S, CV_32F),
Values(CORE_FLUID),
Values(Tolerance_FloatRel_IntAbs(1e-5, 2).to_compare_obj()),
Values(2.5, 1.0, -1.0),
Values(250.0, 0.0, -128.0)));
INSTANTIATE_TEST_CASE_P(DISABLED_ConcatHorTestFluid, ConcatHorTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(DISABLED_ConcatVertTestFluid, ConcatVertTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(Split3TestFluid, Split3Test,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(CV_8UC1),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(Split4TestFluid, Split4Test,
Combine(Values(CV_8UC4),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(CV_8UC1),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(Merge3TestFluid, Merge3Test,
Combine(Values(CV_8UC1),
Values(cv::Size(1920, 1080),
cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(CV_8UC3),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(Merge4TestFluid, Merge4Test,
Combine(Values(CV_8UC1),
Values(cv::Size(1920, 1080),
cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(CV_8UC4),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(DISABLED_RemapTestFluid, RemapTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(DISABLED_FlipTestFluid, FlipTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID),
Values(0,1,-1)));
INSTANTIATE_TEST_CASE_P(DISABLED_CropTestFluid, CropTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID),
Values(cv::Rect(10, 8, 20, 35), cv::Rect(4, 10, 37, 50))));
INSTANTIATE_TEST_CASE_P(SelectTestFluid, SelectTest,
Combine(Values(CV_8UC3, CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1920, 1080),
cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(Polar2CartFluid, Polar2CartTest,
Combine(Values(CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(CV_32FC1),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(Cart2PolarFluid, Cart2PolarTest,
Combine(Values(CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(CV_32FC1),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(PhaseFluid, PhaseTest,
Combine(Values(CV_32F, CV_32FC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID),
/* angle_in_degrees */ testing::Bool()));
INSTANTIATE_TEST_CASE_P(SqrtFluid, SqrtTest,
Combine(Values(CV_32F, CV_32FC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(ThresholdTestFluid, ThresholdTest,
Combine(Values(CV_8UC3, CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1920, 1080),
cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID),
Values(cv::THRESH_BINARY, cv::THRESH_BINARY_INV,
cv::THRESH_TRUNC,
cv::THRESH_TOZERO, cv::THRESH_TOZERO_INV),
Values(cv::Scalar(0, 0, 0, 0),
cv::Scalar(100, 100, 100, 100),
cv::Scalar(255, 255, 255, 255))));
INSTANTIATE_TEST_CASE_P(DISABLED_ThresholdTestFluid, ThresholdOTTest,
Combine(Values(CV_8UC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID),
Values(cv::THRESH_OTSU, cv::THRESH_TRIANGLE)));
INSTANTIATE_TEST_CASE_P(InRangeTestFluid, InRangeTest,
Combine(Values(CV_8UC3, CV_8UC1, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1920, 1080),
cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(ResizeTestFluid, ResizeTest,
Combine(Values(CV_8UC3/*CV_8UC1, CV_16UC1, CV_16SC1*/),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128),
cv::Size(64, 64),
cv::Size(30, 30)),
Values(-1),
Values(CORE_FLUID),
Values(AbsExact().to_compare_obj()),
Values(/*cv::INTER_NEAREST,*/ cv::INTER_LINEAR/*, cv::INTER_AREA*/),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128),
cv::Size(64, 64),
cv::Size(30, 30))));
INSTANTIATE_TEST_CASE_P(ResizeTestFxFyFluid, ResizeTestFxFy,
Combine(Values(CV_8UC3/*CV_8UC1, CV_16UC1, CV_16SC1*/),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128),
cv::Size(64, 64),
cv::Size(30, 30)),
Values(-1),
Values(CORE_FLUID),
Values(AbsExact().to_compare_obj()),
Values(/*cv::INTER_NEAREST,*/ cv::INTER_LINEAR/*, cv::INTER_AREA*/),
Values(0.5, 1, 2),
Values(0.5, 1, 2)));
INSTANTIATE_TEST_CASE_P(BackendOutputAllocationTestFluid, BackendOutputAllocationTest,
Combine(Values(CV_8UC3, CV_16SC2, CV_32FC1),
Values(cv::Size(50, 50)),
Values(-1),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(BackendOutputAllocationLargeSizeWithCorrectSubmatrixTestFluid,
BackendOutputAllocationLargeSizeWithCorrectSubmatrixTest,
Combine(Values(CV_8UC3, CV_16SC2, CV_32FC1),
Values(cv::Size(50, 50)),
Values(-1),
Values(CORE_FLUID)));
INSTANTIATE_TEST_CASE_P(ReInitOutTestFluid, ReInitOutTest,
Combine(Values(CV_8UC3, CV_16SC4, CV_32FC1),
Values(cv::Size(640, 480)),
Values(-1),
Values(CORE_FLUID),
Values(cv::Size(640, 400),
cv::Size(10, 480))));
}

580
modules/gapi/test/cpu/gapi_imgproc_tests_cpu.cpp Normal file
View File

@@ -0,0 +1,580 @@
// 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) 2018-2020 Intel Corporation
#include "../test_precomp.hpp"
#include "../common/gapi_imgproc_tests.hpp"
#include <opencv2/gapi/cpu/imgproc.hpp>
namespace
{
#define IMGPROC_CPU [] () { return cv::compile_args(cv::gapi::use_only{cv::gapi::imgproc::cpu::kernels()}); }
} // anonymous namespace
namespace opencv_test
{
INSTANTIATE_TEST_CASE_P(Filter2DTestCPU, Filter2DTest,
Combine(Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1, CV_32F),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj()),
Values(cv::Size(3, 3),
cv::Size(4, 4),
cv::Size(5, 5),
cv::Size(7, 7)),
Values(cv::BORDER_DEFAULT)));
INSTANTIATE_TEST_CASE_P(BoxFilterTestCPU, BoxFilterTest,
Combine(Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1, CV_32F),
Values(IMGPROC_CPU),
Values(AbsTolerance(0).to_compare_obj()),
Values(3,5),
Values(cv::BORDER_DEFAULT)));
INSTANTIATE_TEST_CASE_P(SepFilterTestCPU_8U, SepFilterTest,
Combine(Values(CV_8UC1, CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1, CV_16S, CV_32F),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj()),
Values(3)));
INSTANTIATE_TEST_CASE_P(SepFilterTestCPU_other, SepFilterTest,
Combine(Values(CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1, CV_32F),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj()),
Values(3)));
INSTANTIATE_TEST_CASE_P(BlurTestCPU, BlurTest,
Combine(Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1),
Values(IMGPROC_CPU),
Values(AbsTolerance(0.0).to_compare_obj()),
Values(3,5),
Values(cv::BORDER_DEFAULT)));
INSTANTIATE_TEST_CASE_P(gaussBlurTestCPU, GaussianBlurTest,
Combine(Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj()),
Values(3, 5)));
INSTANTIATE_TEST_CASE_P(MedianBlurTestCPU, MedianBlurTest,
Combine(Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj()),
Values(3, 5)));
INSTANTIATE_TEST_CASE_P(ErodeTestCPU, ErodeTest,
Combine(Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj()),
Values(3, 5),
Values(cv::MorphShapes::MORPH_RECT,
cv::MorphShapes::MORPH_CROSS,
cv::MorphShapes::MORPH_ELLIPSE)));
INSTANTIATE_TEST_CASE_P(Erode3x3TestCPU, Erode3x3Test,
Combine(Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj()),
Values(1,2,4)));
INSTANTIATE_TEST_CASE_P(DilateTestCPU, DilateTest,
Combine(Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj()),
Values(3, 5),
Values(cv::MorphShapes::MORPH_RECT,
cv::MorphShapes::MORPH_CROSS,
cv::MorphShapes::MORPH_ELLIPSE)));
INSTANTIATE_TEST_CASE_P(Dilate3x3TestCPU, Dilate3x3Test,
Combine(Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj()),
Values(1,2,4)));
INSTANTIATE_TEST_CASE_P(MorphologyExTestCPU, MorphologyExTest,
Combine(Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj()),
Values(cv::MorphTypes::MORPH_ERODE,
cv::MorphTypes::MORPH_DILATE,
cv::MorphTypes::MORPH_OPEN,
cv::MorphTypes::MORPH_CLOSE,
cv::MorphTypes::MORPH_GRADIENT,
cv::MorphTypes::MORPH_TOPHAT,
cv::MorphTypes::MORPH_BLACKHAT)));
INSTANTIATE_TEST_CASE_P(MorphologyExHitMissTestCPU, MorphologyExTest,
Combine(Values(CV_8UC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj()),
Values(cv::MorphTypes::MORPH_HITMISS)));
INSTANTIATE_TEST_CASE_P(SobelTestCPU, SobelTest,
Combine(Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1, CV_16S, CV_32F),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj()),
Values(3, 5),
Values(0, 1),
Values(1, 2)));
INSTANTIATE_TEST_CASE_P(SobelTestCPU32F, SobelTest,
Combine(Values(CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_32F),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj()),
Values(3, 5),
Values(0, 1),
Values(1, 2)));
INSTANTIATE_TEST_CASE_P(SobelXYTestCPU, SobelXYTest,
Combine(Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1, CV_16S, CV_32F),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj()),
Values(3, 5),
Values(1, 2),
Values(BORDER_CONSTANT, BORDER_REPLICATE, BORDER_REFLECT),
Values(0, 1, 255)));
INSTANTIATE_TEST_CASE_P(SobelXYTestCPU32F, SobelXYTest,
Combine(Values(CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_32F),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj()),
Values(3, 5),
Values(1, 2),
Values(BORDER_CONSTANT, BORDER_REPLICATE, BORDER_REFLECT),
Values(0, 1, 255)));
INSTANTIATE_TEST_CASE_P(LaplacianTestCPU, LaplacianTest,
Combine(Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj()),
Values(1, 3),
Values(0.2, 1.0),
Values(BORDER_CONSTANT, BORDER_REPLICATE, BORDER_REFLECT)));
INSTANTIATE_TEST_CASE_P(BilateralFilterTestCPU, BilateralFilterTest,
Combine(Values(CV_32FC1, CV_32FC3, CV_8UC1, CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj()),
Values(3, 5),
Values(20),
Values(10),
Values(BORDER_CONSTANT, BORDER_REPLICATE, BORDER_REFLECT)));
INSTANTIATE_TEST_CASE_P(EqHistTestCPU, EqHistTest,
Combine(Values(CV_8UC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC1),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(CannyTestCPU, CannyTest,
Combine(Values(CV_8UC1, CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC1),
Values(IMGPROC_CPU),
Values(AbsSimilarPoints(0, 0.05).to_compare_obj()),
Values(3.0, 120.0),
Values(125.0, 240.0),
Values(3, 5),
testing::Bool()));
INSTANTIATE_TEST_CASE_P(GoodFeaturesTestCPU, GoodFeaturesTest,
Combine(Values(IMGPROC_CPU),
Values(AbsExactVector<cv::Point2f>().to_compare_obj()),
Values("cv/shared/fruits.png"),
Values(CV_32FC1, CV_8UC1),
Values(50, 100),
Values(0.01),
Values(10.0),
Values(3),
testing::Bool()));
INSTANTIATE_TEST_CASE_P(GoodFeaturesInternalTestCPU, GoodFeaturesTest,
Combine(Values(IMGPROC_CPU),
Values(AbsExactVector<cv::Point2f>().to_compare_obj()),
Values("cv/cascadeandhog/images/audrybt1.png"),
Values(CV_32FC1, CV_8UC1),
Values(100),
Values(0.0000001),
Values(5.0),
Values(3),
Values(true)));
INSTANTIATE_TEST_CASE_P(FindContoursNoOffsetTestCPU, FindContoursNoOffsetTest,
Combine(Values(IMGPROC_CPU),
Values(cv::Size(1280, 720)),
Values(CV_8UC1),
Values(RETR_EXTERNAL),
Values(CHAIN_APPROX_NONE),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(FindContoursOffsetTestCPU, FindContoursOffsetTest,
Values(IMGPROC_CPU));
INSTANTIATE_TEST_CASE_P(FindContoursHNoOffsetTestCPU, FindContoursHNoOffsetTest,
Combine(Values(IMGPROC_CPU),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC1),
Values(RETR_EXTERNAL, RETR_LIST, RETR_CCOMP, RETR_TREE),
Values(CHAIN_APPROX_NONE, CHAIN_APPROX_SIMPLE,
CHAIN_APPROX_TC89_L1, CHAIN_APPROX_TC89_KCOS),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(FindContoursHNoOffset32STestCPU, FindContoursHNoOffsetTest,
Combine(Values(IMGPROC_CPU),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_32SC1),
Values(RETR_CCOMP, RETR_FLOODFILL),
Values(CHAIN_APPROX_NONE, CHAIN_APPROX_SIMPLE,
CHAIN_APPROX_TC89_L1, CHAIN_APPROX_TC89_KCOS),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(FindContoursHOffsetTestCPU, FindContoursHOffsetTest,
Values(IMGPROC_CPU));
INSTANTIATE_TEST_CASE_P(BoundingRectMatTestCPU, BoundingRectMatTest,
Combine(Values( CV_8UC1 ),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(IMGPROC_CPU),
Values(IoUToleranceRect(0).to_compare_obj()),
Values(false)));
INSTANTIATE_TEST_CASE_P(BoundingRectMatVectorTestCPU, BoundingRectMatTest,
Combine(Values(CV_32S, CV_32F),
Values(cv::Size(1280, 1),
cv::Size(128, 1)),
Values(-1),
Values(IMGPROC_CPU),
Values(IoUToleranceRect(1e-5).to_compare_obj()),
Values(true)));
INSTANTIATE_TEST_CASE_P(BoundingRectVector32STestCPU, BoundingRectVector32STest,
Combine(Values(-1),
Values(cv::Size(1280, 1),
cv::Size(128, 1)),
Values(-1),
Values(IMGPROC_CPU),
Values(IoUToleranceRect(0).to_compare_obj())));
INSTANTIATE_TEST_CASE_P(BoundingRectVector32FTestCPU, BoundingRectVector32FTest,
Combine(Values(-1),
Values(cv::Size(1280, 1),
cv::Size(128, 1)),
Values(-1),
Values(IMGPROC_CPU),
Values(IoUToleranceRect(1e-5).to_compare_obj())));
INSTANTIATE_TEST_CASE_P(FitLine2DMatVectorTestCPU, FitLine2DMatVectorTest,
Combine(Values(CV_8U, CV_8S, CV_16U, CV_16S,
CV_32S, CV_32F, CV_64F),
Values(cv::Size(8, 0), cv::Size(1024, 0)),
Values(-1),
Values(IMGPROC_CPU),
Values(RelDiffToleranceVec<float, 4>(0.01).to_compare_obj()),
Values(DIST_L1, DIST_L2, DIST_L12, DIST_FAIR,
DIST_WELSCH, DIST_HUBER)));
INSTANTIATE_TEST_CASE_P(FitLine2DVector32STestCPU, FitLine2DVector32STest,
Combine(Values(-1),
Values(cv::Size(8, 0)),
Values(-1),
Values(IMGPROC_CPU),
Values(RelDiffToleranceVec<float, 4>(0.01).to_compare_obj()),
Values(DIST_L1)));
INSTANTIATE_TEST_CASE_P(FitLine2DVector32FTestCPU, FitLine2DVector32FTest,
Combine(Values(-1),
Values(cv::Size(8, 0)),
Values(-1),
Values(IMGPROC_CPU),
Values(RelDiffToleranceVec<float, 4>(0.01).to_compare_obj()),
Values(DIST_L1)));
INSTANTIATE_TEST_CASE_P(FitLine2DVector64FTestCPU, FitLine2DVector64FTest,
Combine(Values(-1),
Values(cv::Size(8, 0)),
Values(-1),
Values(IMGPROC_CPU),
Values(RelDiffToleranceVec<float, 4>(0.01).to_compare_obj()),
Values(DIST_L1)));
INSTANTIATE_TEST_CASE_P(FitLine3DMatVectorTestCPU, FitLine3DMatVectorTest,
Combine(Values(CV_8UC1, CV_8SC1, CV_16UC1, CV_16SC1,
CV_32SC1, CV_32FC1, CV_64FC1),
Values(cv::Size(8, 0), cv::Size(1024, 0)),
Values(-1),
Values(IMGPROC_CPU),
Values(RelDiffToleranceVec<float, 6>(0.01).to_compare_obj()),
Values(DIST_L1, DIST_L2, DIST_L12, DIST_FAIR,
DIST_WELSCH, DIST_HUBER)));
INSTANTIATE_TEST_CASE_P(FitLine3DVector32STestCPU, FitLine3DVector32STest,
Combine(Values(-1),
Values(cv::Size(8, 0)),
Values(-1),
Values(IMGPROC_CPU),
Values(RelDiffToleranceVec<float, 6>(0.01).to_compare_obj()),
Values(DIST_L1)));
INSTANTIATE_TEST_CASE_P(FitLine3DVector32FTestCPU, FitLine3DVector32FTest,
Combine(Values(-1),
Values(cv::Size(8, 0)),
Values(-1),
Values(IMGPROC_CPU),
Values(RelDiffToleranceVec<float, 6>(0.01).to_compare_obj()),
Values(DIST_L1)));
INSTANTIATE_TEST_CASE_P(FitLine3DVector64FTestCPU, FitLine3DVector64FTest,
Combine(Values(-1),
Values(cv::Size(8, 0)),
Values(-1),
Values(IMGPROC_CPU),
Values(RelDiffToleranceVec<float, 6>(0.01).to_compare_obj()),
Values(DIST_L1)));
INSTANTIATE_TEST_CASE_P(BGR2RGBTestCPU, BGR2RGBTest,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC3),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(RGB2GrayTestCPU, RGB2GrayTest,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC1),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(BGR2GrayTestCPU, BGR2GrayTest,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC1),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(RGB2YUVTestCPU, RGB2YUVTest,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC3),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(YUV2RGBTestCPU, YUV2RGBTest,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC3),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(BGR2I420TestCPU, BGR2I420Test,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC1),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(RGB2I420TestCPU, RGB2I420Test,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC1),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(I4202BGRTestCPU, I4202BGRTest,
Combine(Values(CV_8UC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC3),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(I4202RGBTestCPU, I4202RGBTest,
Combine(Values(CV_8UC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC3),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(NV12toRGBTestCPU, NV12toRGBTest,
Combine(Values(CV_8UC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC3),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(NV12toBGRTestCPU, NV12toBGRTest,
Combine(Values(CV_8UC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC3),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(NV12toGrayTestCPU, NV12toGrayTest,
Combine(Values(CV_8UC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC1),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(NV12toRGBpTestCPU, NV12toRGBpTest,
Combine(Values(CV_8UC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC1),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(NV12toBGRpTestCPU, NV12toBGRpTest,
Combine(Values(CV_8UC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC3),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(RGB2LabTestCPU, RGB2LabTest,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC3),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(BGR2LUVTestCPU, BGR2LUVTest,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC3),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(LUV2BGRTestCPU, LUV2BGRTest,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC3),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(BGR2YUVTestCPU, BGR2YUVTest,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC3),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(YUV2BGRTestCPU, YUV2BGRTest,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC3),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(RGB2HSVTestCPU, RGB2HSVTest,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC3),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(BayerGR2RGBTestCPU, BayerGR2RGBTest,
Combine(Values(CV_8UC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC3),
Values(IMGPROC_CPU),
Values(AbsExact().to_compare_obj())));
INSTANTIATE_TEST_CASE_P(RGB2YUV422TestCPU, RGB2YUV422Test,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC2),
Values(IMGPROC_CPU),
Values(AbsTolerance(1).to_compare_obj())));
} // opencv_test

220
modules/gapi/test/cpu/gapi_imgproc_tests_fluid.cpp Normal file
View File

@@ -0,0 +1,220 @@
// 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) 2018-2019 Intel Corporation
#include "../test_precomp.hpp"
#include "../common/gapi_imgproc_tests.hpp"
namespace
{
#define IMGPROC_FLUID [] () { return cv::compile_args(cv::gapi::use_only{cv::gapi::imgproc::fluid::kernels()}); }
} // anonymous namespace
namespace opencv_test
{
INSTANTIATE_TEST_CASE_P(RGB2GrayTestFluid, RGB2GrayTest,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC1),
Values(IMGPROC_FLUID),
Values(ToleranceColor(1e-3).to_compare_obj())));
INSTANTIATE_TEST_CASE_P(BGR2GrayTestFluid, BGR2GrayTest,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC1),
Values(IMGPROC_FLUID),
Values(ToleranceColor(1e-3).to_compare_obj())));
INSTANTIATE_TEST_CASE_P(RGB2YUVTestFluid, RGB2YUVTest,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC3),
Values(IMGPROC_FLUID),
Values(ToleranceColor(1e-3).to_compare_obj())));
INSTANTIATE_TEST_CASE_P(YUV2RGBTestFluid, YUV2RGBTest,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC3),
Values(IMGPROC_FLUID),
Values(ToleranceColor(1e-3).to_compare_obj())));
INSTANTIATE_TEST_CASE_P(RGB2LabTestFluid, RGB2LabTest,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC3),
Values(IMGPROC_FLUID),
Values(AbsSimilarPoints(1, 0.05).to_compare_obj())));
// FIXME: Not supported by Fluid yet (no kernel implemented)
INSTANTIATE_TEST_CASE_P(BGR2LUVTestFluid, BGR2LUVTest,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC3),
Values(IMGPROC_FLUID),
Values(ToleranceColor(5e-3, 6).to_compare_obj())));
INSTANTIATE_TEST_CASE_P(RGB2HSVTestFluid, RGB2HSVTest,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC3),
Values(IMGPROC_FLUID),
Values(ToleranceColor(1e-3).to_compare_obj())));
INSTANTIATE_TEST_CASE_P(BayerGR2RGBTestFluid, BayerGR2RGBTest,
Combine(Values(CV_8UC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC3),
Values(IMGPROC_FLUID),
Values(ToleranceColor(1e-3).to_compare_obj())));
INSTANTIATE_TEST_CASE_P(RGB2YUV422TestFluid, RGB2YUV422Test,
Combine(Values(CV_8UC3),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_8UC2),
Values(IMGPROC_FLUID),
Values(AbsTolerance(1).to_compare_obj())));
INSTANTIATE_TEST_CASE_P(blurTestFluid, BlurTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1),
Values(IMGPROC_FLUID),
Values(ToleranceFilter(1e-4f, 0.01).to_compare_obj()),
Values(3), // add kernel size=5 when implementation is ready
Values(cv::BORDER_DEFAULT)));
INSTANTIATE_TEST_CASE_P(gaussBlurTestFluid, GaussianBlurTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1),
Values(IMGPROC_FLUID),
Values(ToleranceFilter(1e-3f, 0.01).to_compare_obj()),
Values(3, 5)));
INSTANTIATE_TEST_CASE_P(medianBlurTestFluid, MedianBlurTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1),
Values(IMGPROC_FLUID),
Values(AbsExact().to_compare_obj()),
Values(3))); // add kernel size=5 when implementation is ready
INSTANTIATE_TEST_CASE_P(erodeTestFluid, ErodeTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1),
Values(IMGPROC_FLUID),
Values(AbsExact().to_compare_obj()),
Values(3), // add kernel size=5 when implementation is ready
Values(cv::MorphShapes::MORPH_RECT,
cv::MorphShapes::MORPH_CROSS,
cv::MorphShapes::MORPH_ELLIPSE)));
INSTANTIATE_TEST_CASE_P(dilateTestFluid, DilateTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1),
Values(IMGPROC_FLUID),
Values(AbsExact().to_compare_obj()),
Values(3), // add kernel size=5 when implementation is ready
Values(cv::MorphShapes::MORPH_RECT,
cv::MorphShapes::MORPH_CROSS,
cv::MorphShapes::MORPH_ELLIPSE)));
INSTANTIATE_TEST_CASE_P(SobelTestFluid, SobelTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1, CV_16S, CV_32F),
Values(IMGPROC_FLUID),
Values(AbsExact().to_compare_obj()),
Values(3), // add kernel size=5 when implementation is ready
Values(0, 1),
Values(1, 2)));
INSTANTIATE_TEST_CASE_P(SobelTestFluid32F, SobelTest,
Combine(Values(CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_32F),
Values(IMGPROC_FLUID),
Values(ToleranceFilter(1e-4f, 0.01).to_compare_obj()),
Values(3), // add kernel size=5 when implementation is ready
Values(0, 1),
Values(1, 2)));
INSTANTIATE_TEST_CASE_P(SobelXYTestFluid, SobelXYTest,
Combine(Values(CV_8UC1, CV_8UC3, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1, CV_16S, CV_32F),
Values(IMGPROC_FLUID),
Values(AbsExact().to_compare_obj()),
Values(3),
Values(1, 2),
Values(BORDER_CONSTANT, BORDER_REPLICATE, BORDER_REFLECT_101),
Values(0, 1, 255)));
INSTANTIATE_TEST_CASE_P(SobelXYTestFluid32F, SobelXYTest,
Combine(Values(CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(CV_32F),
Values(IMGPROC_FLUID),
Values(ToleranceFilter(1e-4f, 0.01).to_compare_obj()),
Values(3),
Values(1, 2),
Values(BORDER_CONSTANT, BORDER_REPLICATE, BORDER_REFLECT_101),
Values(0, 1, 255)));
INSTANTIATE_TEST_CASE_P(boxFilterTestFluid32, BoxFilterTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1, CV_32F),
Values(IMGPROC_FLUID),
Values(ToleranceFilter(1e-4f, 0.01).to_compare_obj()),
Values(3), // add kernel size=5 when implementation is ready
Values(cv::BORDER_DEFAULT)));
INSTANTIATE_TEST_CASE_P(sepFilterTestFluid, SepFilterTest,
Combine(Values(CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480)),
Values(-1, CV_32F),
Values(IMGPROC_FLUID),
Values(ToleranceFilter(1e-4f, 0.01).to_compare_obj()),
Values(3))); // add kernel size=5 when implementation is ready
INSTANTIATE_TEST_CASE_P(filter2DTestFluid, Filter2DTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1, CV_32F),
Values(IMGPROC_FLUID),
Values(ToleranceFilter(1e-4f, 0.01).to_compare_obj()),
Values(cv::Size(3, 3)), // add kernel size=4x4,5x5,7x7 when implementation ready
Values(cv::BORDER_DEFAULT)));
} // opencv_test

50
modules/gapi/test/cpu/gapi_ocv_stateful_kernel_test_utils.hpp Normal file
View File

@@ -0,0 +1,50 @@
// 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) 2020 Intel Corporation
#ifndef OPENCV_GAPI_OCV_STATEFUL_KERNEL_TESTS_UTILS_HPP
#define OPENCV_GAPI_OCV_STATEFUL_KERNEL_TESTS_UTILS_HPP
#include "../test_precomp.hpp"
// TODO: Reuse Anatoliy's logic for support of types with commas in macro.
// Retrieve the common part from Anatoliy's logic to the separate place.
#define DEFINE_INITIALIZER(Name, StateType, ...) \
struct Name \
{ \
static StateType value() \
{ \
return __VA_ARGS__; \
} \
} \
namespace opencv_test
{
// types from anonymous namespace doesn't work well with templates
inline namespace gapi_ocv_stateful_kernel_test_utils {
struct UserStruct
{
UserStruct() = default;
UserStruct(short myShortVal, float myFloatVal):
_myShortVal(myShortVal),
_myFloatVal(myFloatVal) { }
bool operator==(const UserStruct& rhs) const
{
return ((_myShortVal == rhs._myShortVal) &&
(_myFloatVal == rhs._myFloatVal));
}
private:
short _myShortVal;
float _myFloatVal;
};
} // namespace
} // opencv_test
#endif // OPENCV_GAPI_OCV_STATEFUL_KERNEL_TESTS_UTILS_HPP

445
modules/gapi/test/cpu/gapi_ocv_stateful_kernel_tests.cpp Normal file
View File

@@ -0,0 +1,445 @@
// 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) 2020 Intel Corporation
#include "gapi_ocv_stateful_kernel_test_utils.hpp"
#include <opencv2/gapi/cpu/core.hpp>
#include <opencv2/gapi/streaming/cap.hpp>
#include <opencv2/core.hpp>
#include <opencv2/core/cvstd.hpp>
#ifdef HAVE_OPENCV_VIDEO
#include <opencv2/video.hpp>
#endif
namespace opencv_test
{
struct BackSubStateParams
{
std::string method;
};
} // namespace opencv_test
namespace cv
{
namespace detail
{
template<> struct CompileArgTag<opencv_test::BackSubStateParams>
{
static const char* tag()
{
return "org.opencv.test.background_substractor_state_params";
}
};
} // namespace detail
} // namespace cv
namespace opencv_test
{
//TODO: test OT, Background Subtractor, Kalman with 3rd version of API
//----------------------------------------------- Simple tests ------------------------------------------------
namespace
{
inline void initTestDataPath()
{
#ifndef WINRT
static bool initialized = false;
if (!initialized)
{
// Since G-API has no own test data (yet), it is taken from the common space
const char* testDataPath = getenv("OPENCV_TEST_DATA_PATH");
if (testDataPath) {
cvtest::addDataSearchPath(testDataPath);
}
initialized = true;
}
#endif // WINRT
}
G_TYPED_KERNEL(GCountCalls, <cv::GOpaque<int>(GMat)>, "org.opencv.test.count_calls")
{
static GOpaqueDesc outMeta(GMatDesc /* in */) { return empty_gopaque_desc(); }
};
GAPI_OCV_KERNEL_ST(GOCVCountCalls, GCountCalls, int)
{
static void setup(const cv::GMatDesc &/* in */, std::shared_ptr<int> &state)
{
state.reset(new int{ });
}
static void run(const cv::Mat &/* in */, int &out, int& state)
{
out = ++state;
}
};
G_TYPED_KERNEL(GIsStateUpToDate, <cv::GOpaque<bool>(GMat)>,
"org.opencv.test.is_state_up-to-date")
{
static GOpaqueDesc outMeta(GMatDesc /* in */) { return empty_gopaque_desc(); }
};
GAPI_OCV_KERNEL_ST(GOCVIsStateUpToDate, GIsStateUpToDate, cv::Size)
{
static void setup(const cv::GMatDesc &in, std::shared_ptr<cv::Size> &state)
{
state.reset(new cv::Size(in.size));
}
static void run(const cv::Mat &in , bool &out, cv::Size& state)
{
out = in.size() == state;
}
};
G_TYPED_KERNEL(GStInvalidResize, <GMat(GMat,Size,double,double,int)>,
"org.opencv.test.st_invalid_resize")
{
static GMatDesc outMeta(GMatDesc in, Size, double, double, int) { return in; }
};
GAPI_OCV_KERNEL_ST(GOCVStInvalidResize, GStInvalidResize, int)
{
static void setup(const cv::GMatDesc, cv::Size, double, double, int,
std::shared_ptr<int> &/* state */)
{ }
static void run(const cv::Mat& in, cv::Size sz, double fx, double fy, int interp,
cv::Mat &out, int& /* state */)
{
cv::resize(in, out, sz, fx, fy, interp);
}
};
G_TYPED_KERNEL(GBackSub, <GMat(GMat)>, "org.opencv.test.background_substractor")
{
static GMatDesc outMeta(GMatDesc in) { return in.withType(CV_8U, 1); }
};
#ifdef HAVE_OPENCV_VIDEO
GAPI_OCV_KERNEL_ST(GOCVBackSub, GBackSub, cv::BackgroundSubtractor)
{
static void setup(const cv::GMatDesc &/* desc */,
std::shared_ptr<BackgroundSubtractor> &state,
const cv::GCompileArgs &compileArgs)
{
auto sbParams = cv::gapi::getCompileArg<BackSubStateParams>(compileArgs)
.value_or(BackSubStateParams { });
if (sbParams.method == "knn")
state = createBackgroundSubtractorKNN();
else if (sbParams.method == "mog2")
state = createBackgroundSubtractorMOG2();
GAPI_Assert(state);
}
static void run(const cv::Mat& in, cv::Mat &out, BackgroundSubtractor& state)
{
state.apply(in, out, -1);
}
};
#endif
};
TEST(StatefulKernel, StateIsMutableInRuntime)
{
constexpr int expectedCallsCount = 10;
cv::Mat dummyIn { 1, 1, CV_8UC1 };
int actualCallsCount = 0;
// Declaration of G-API expression
GMat in;
GOpaque<int> out = GCountCalls::on(in);
cv::GComputation comp(cv::GIn(in), cv::GOut(out));
const auto pkg = cv::gapi::kernels<GOCVCountCalls>();
// Compilation of G-API expression
auto callsCounter = comp.compile(cv::descr_of(dummyIn), cv::compile_args(pkg));
// Simulating video stream: call GCompiled multiple times
for (int i = 0; i < expectedCallsCount; i++)
{
callsCounter(cv::gin(dummyIn), cv::gout(actualCallsCount));
EXPECT_EQ(i + 1, actualCallsCount);
}
// End of "video stream"
EXPECT_EQ(expectedCallsCount, actualCallsCount);
// User asks G-API to prepare for a new stream
callsCounter.prepareForNewStream();
callsCounter(cv::gin(dummyIn), cv::gout(actualCallsCount));
EXPECT_EQ(1, actualCallsCount);
}
TEST(StatefulKernel, StateIsAutoResetForNewStream)
{
initTestDataPath();
cv::GMat in;
cv::GOpaque<bool> out = GIsStateUpToDate::on(in);
cv::GComputation c(cv::GIn(in), cv::GOut(out));
const auto pkg = cv::gapi::kernels<GOCVIsStateUpToDate>();
// Compilation & testing
auto ccomp = c.compileStreaming(cv::compile_args(pkg));
auto path = findDataFile("cv/video/768x576.avi");
try {
ccomp.setSource(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path));
} catch(...) {
throw SkipTestException("Video file can not be opened");
}
ccomp.start();
EXPECT_TRUE(ccomp.running());
// Process the full video
bool isStateUpToDate = false;
while (ccomp.pull(cv::gout(isStateUpToDate))) {
EXPECT_TRUE(isStateUpToDate);
}
EXPECT_FALSE(ccomp.running());
path = findDataFile("cv/video/1920x1080.avi");
try {
ccomp.setSource(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path));
} catch(...) {
throw SkipTestException("Video file can not be opened");
}
ccomp.start();
EXPECT_TRUE(ccomp.running());
while (ccomp.pull(cv::gout(isStateUpToDate))) {
EXPECT_TRUE(isStateUpToDate);
}
EXPECT_FALSE(ccomp.running());
}
TEST(StatefulKernel, InvalidReallocatingKernel)
{
cv::GMat in, out;
cv::Mat in_mat(500, 500, CV_8UC1), out_mat;
out = GStInvalidResize::on(in, cv::Size(300, 300), 0.0, 0.0, cv::INTER_LINEAR);
const auto pkg = cv::gapi::kernels<GOCVStInvalidResize>();
cv::GComputation comp(cv::GIn(in), cv::GOut(out));
EXPECT_THROW(comp.apply(in_mat, out_mat, cv::compile_args(pkg)), std::logic_error);
}
#ifdef HAVE_OPENCV_VIDEO
namespace
{
void compareBackSubResults(const cv::Mat &actual, const cv::Mat &expected,
const int diffPercent)
{
GAPI_Assert(actual.size() == expected.size());
int allowedNumDiffPixels = actual.size().area() * diffPercent / 100;
cv::Mat diff;
cv::absdiff(actual, expected, diff);
cv::Mat hist(256, 1, CV_32FC1, cv::Scalar(0));
const float range[] { 0, 256 };
const float *histRange { range };
calcHist(&diff, 1, 0, Mat(), hist, 1, &hist.rows, &histRange, true, false);
for (int i = 2; i < hist.rows; ++i)
{
hist.at<float>(i) += hist.at<float>(i - 1);
}
int numDiffPixels = static_cast<int>(hist.at<float>(255));
EXPECT_GT(allowedNumDiffPixels, numDiffPixels);
}
} // anonymous namespace
TEST(StatefulKernel, StateIsInitViaCompArgs)
{
cv::Mat frame(1080, 1920, CV_8UC3),
gapiForeground,
ocvForeground;
cv::randu(frame, cv::Scalar(0, 0, 0), cv::Scalar(255, 255, 255));
// G-API code
cv::GMat in;
cv::GMat out = GBackSub::on(in);
cv::GComputation c(cv::GIn(in), cv::GOut(out));
const auto pkg = cv::gapi::kernels<GOCVBackSub>();
auto gapiBackSub = c.compile(cv::descr_of(frame),
cv::compile_args(pkg, BackSubStateParams { "knn" }));
gapiBackSub(cv::gin(frame), cv::gout(gapiForeground));
// OpenCV code
auto pOcvBackSub = createBackgroundSubtractorKNN();
pOcvBackSub->apply(frame, ocvForeground);
// Comparison
// Allowing 1% difference of all pixels between G-API and OpenCV results
compareBackSubResults(gapiForeground, ocvForeground, 1);
// Additionally, test the case where state is resetted
gapiBackSub.prepareForNewStream();
gapiBackSub(cv::gin(frame), cv::gout(gapiForeground));
pOcvBackSub->apply(frame, ocvForeground);
compareBackSubResults(gapiForeground, ocvForeground, 1);
}
#endif
#ifdef HAVE_OPENCV_VIDEO
namespace
{
void testBackSubInStreaming(cv::GStreamingCompiled gapiBackSub, const int diffPercent)
{
cv::Mat frame,
gapiForeground,
ocvForeground;
gapiBackSub.start();
EXPECT_TRUE(gapiBackSub.running());
// OpenCV reference substractor
auto pOCVBackSub = createBackgroundSubtractorKNN();
// Comparison of G-API and OpenCV substractors
std::size_t frames = 0u;
while (gapiBackSub.pull(cv::gout(frame, gapiForeground))) {
pOCVBackSub->apply(frame, ocvForeground, -1);
compareBackSubResults(gapiForeground, ocvForeground, diffPercent);
frames++;
}
EXPECT_LT(0u, frames);
EXPECT_FALSE(gapiBackSub.running());
}
} // anonymous namespace
TEST(StatefulKernel, StateIsInitViaCompArgsInStreaming)
{
initTestDataPath();
// G-API graph declaration
cv::GMat in;
cv::GMat out = GBackSub::on(in);
// Preserving 'in' in output to have possibility to compare with OpenCV reference
cv::GComputation c(cv::GIn(in), cv::GOut(cv::gapi::copy(in), out));
// G-API compilation of graph for streaming mode
const auto pkg = cv::gapi::kernels<GOCVBackSub>();
auto gapiBackSub = c.compileStreaming(
cv::compile_args(pkg, BackSubStateParams { "knn" }));
// Testing G-API Background Substractor in streaming mode
auto path = findDataFile("cv/video/768x576.avi");
try {
gapiBackSub.setSource(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path));
} catch(...) {
throw SkipTestException("Video file can not be opened");
}
// Allowing 1% difference of all pixels between G-API and reference OpenCV results
testBackSubInStreaming(gapiBackSub, 1);
path = findDataFile("cv/video/1920x1080.avi");
try {
// Additionally, test the case when the new stream happens
gapiBackSub.setSource(gapi::wip::make_src<cv::gapi::wip::GCaptureSource>(path));
} catch(...) {
throw SkipTestException("Video file can not be opened");
}
// Allowing 5% difference of all pixels between G-API and reference OpenCV results
testBackSubInStreaming(gapiBackSub, 5);
}
#endif
//-------------------------------------------------------------------------------------------------------------
//------------------------------------------- Typed tests on setup() ------------------------------------------
namespace
{
template<typename Tuple>
struct SetupStateTypedTest : public ::testing::Test
{
using StateT = typename std::tuple_element<0, Tuple>::type;
using SetupT = typename std::tuple_element<1, Tuple>::type;
G_TYPED_KERNEL(GReturnState, <cv::GOpaque<StateT>(GMat)>, "org.opencv.test.return_state")
{
static GOpaqueDesc outMeta(GMatDesc /* in */) { return empty_gopaque_desc(); }
};
GAPI_OCV_KERNEL_ST(GOCVReturnState, GReturnState, StateT)
{
static void setup(const cv::GMatDesc &/* in */, std::shared_ptr<StateT> &state)
{
// Don't use input cv::GMatDesc intentionally
state.reset(new StateT(SetupT::value()));
}
static void run(const cv::Mat &/* in */, StateT &out, StateT& state)
{
out = state;
}
};
};
TYPED_TEST_CASE_P(SetupStateTypedTest);
} // namespace
TYPED_TEST_P(SetupStateTypedTest, ReturnInitializedState)
{
using StateType = typename TestFixture::StateT;
using SetupType = typename TestFixture::SetupT;
cv::Mat dummyIn { 1, 1, CV_8UC1 };
StateType retState { };
GMat in;
auto out = TestFixture::GReturnState::on(in);
cv::GComputation comp(cv::GIn(in), cv::GOut(out));
const auto pkg = cv::gapi::kernels<typename TestFixture::GOCVReturnState>();
comp.apply(cv::gin(dummyIn), cv::gout(retState), cv::compile_args(pkg));
EXPECT_EQ(SetupType::value(), retState);
}
REGISTER_TYPED_TEST_CASE_P(SetupStateTypedTest,
ReturnInitializedState);
DEFINE_INITIALIZER(CharValue, char, 'z');
DEFINE_INITIALIZER(IntValue, int, 7);
DEFINE_INITIALIZER(FloatValue, float, 42.f);
DEFINE_INITIALIZER(UcharPtrValue, uchar*, nullptr);
namespace
{
using Std3IntArray = std::array<int, 3>;
}
DEFINE_INITIALIZER(StdArrayValue, Std3IntArray, { 1, 2, 3 });
DEFINE_INITIALIZER(UserValue, UserStruct, { 5, 7.f });
using TypesToVerify = ::testing::Types<std::tuple<char, CharValue>,
std::tuple<int, IntValue>,
std::tuple<float, FloatValue>,
std::tuple<uchar*, UcharPtrValue>,
std::tuple<std::array<int, 3>, StdArrayValue>,
std::tuple<UserStruct, UserValue>>;
INSTANTIATE_TYPED_TEST_CASE_P(SetupStateTypedInst, SetupStateTypedTest, TypesToVerify);
//-------------------------------------------------------------------------------------------------------------
} // opencv_test

73
modules/gapi/test/cpu/gapi_operators_tests_cpu.cpp Normal file
View File

@@ -0,0 +1,73 @@
// 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_operators_tests.hpp"
#include <opencv2/gapi/cpu/core.hpp>
namespace
{
#define CORE_CPU [] () { return cv::compile_args(cv::gapi::use_only{cv::gapi::core::cpu::kernels()}); }
} // anonymous namespace
namespace opencv_test
{
// FIXME: CPU test runs are disabled since Fluid is an exclusive plugin now!
INSTANTIATE_TEST_CASE_P(MathOperatorTestCPU, MathOperatorMatMatTest,
Combine(Values(CV_8UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU),
Values(AbsExact().to_compare_obj()),
Values( ADD, SUB, DIV,
GT, LT, GE, LE, EQ, NE)));
INSTANTIATE_TEST_CASE_P(MathOperatorTestCPU, MathOperatorMatScalarTest,
Combine(Values(CV_8UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU),
Values(AbsExact().to_compare_obj()),
Values( ADD, SUB, MUL, DIV,
ADDR, SUBR, MULR, DIVR,
GT, LT, GE, LE, EQ, NE,
GTR, LTR, GER, LER, EQR, NER)));
INSTANTIATE_TEST_CASE_P(BitwiseOperatorTestCPU, MathOperatorMatMatTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU),
Values(AbsExact().to_compare_obj()),
Values( AND, OR, XOR )));
INSTANTIATE_TEST_CASE_P(BitwiseOperatorTestCPU, MathOperatorMatScalarTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU),
Values(AbsExact().to_compare_obj()),
Values( AND, OR, XOR,
ANDR, ORR, XORR )));
INSTANTIATE_TEST_CASE_P(BitwiseNotOperatorTestCPU, NotOperatorTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_CPU)));
}

81
modules/gapi/test/cpu/gapi_operators_tests_fluid.cpp Normal file
View File

@@ -0,0 +1,81 @@
// 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_operators_tests.hpp"
namespace
{
#define CORE_FLUID [] () { return cv::compile_args(cv::gapi::use_only{cv::gapi::core::fluid::kernels()}); }
} // anonymous namespace
namespace opencv_test
{
INSTANTIATE_TEST_CASE_P(MathOperatorTestFluid, MathOperatorMatMatTest,
Combine(Values(CV_8UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID),
Values(AbsExact().to_compare_obj()),
Values( ADD, SUB, DIV,
GT, LT, GE, LE, EQ, NE)));
INSTANTIATE_TEST_CASE_P(MathOperatorArithmeticTestFluid, MathOperatorMatScalarTest,
Combine(Values(CV_8UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID),
Values(AbsExact().to_compare_obj()),
Values( ADD, SUB, MUL, DIV,
ADDR, SUBR, MULR, DIVR)));
// FIXME: solve comparison error
INSTANTIATE_TEST_CASE_P(MathOperatorCompareTestFluid, MathOperatorMatScalarTest,
Combine(Values(CV_8UC1, CV_16SC1, CV_32FC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID),
Values(AbsSimilarPoints(1, 0.01).to_compare_obj()),
Values( GT, LT, GE, LE, EQ, NE,
GTR, LTR, GER, LER, EQR, NER)));
INSTANTIATE_TEST_CASE_P(BitwiseOperatorTestFluid, MathOperatorMatMatTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID),
Values(AbsExact().to_compare_obj()),
Values( AND, OR, XOR )));
INSTANTIATE_TEST_CASE_P(BitwiseOperatorTestFluid, MathOperatorMatScalarTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID),
Values(AbsExact().to_compare_obj()),
Values( AND, OR, XOR,
ANDR, ORR, XORR )));
INSTANTIATE_TEST_CASE_P(BitwiseNotOperatorTestFluid, NotOperatorTest,
Combine(Values(CV_8UC1, CV_16UC1, CV_16SC1),
Values(cv::Size(1280, 720),
cv::Size(640, 480),
cv::Size(128, 128)),
Values(-1),
Values(CORE_FLUID)));
}

36
modules/gapi/test/cpu/gapi_stereo_tests_cpu.cpp Normal file
View File

@@ -0,0 +1,36 @@
// 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) 2021 Intel Corporation
#include "../test_precomp.hpp"
#include "../common/gapi_stereo_tests.hpp"
#include <opencv2/gapi/stereo.hpp> // For ::gapi::stereo::disparity/depth
#include <opencv2/gapi/cpu/stereo.hpp>
namespace
{
#define STEREO_CPU [] () { return cv::compile_args(cv::gapi::use_only{cv::gapi::calib3d::cpu::kernels()}); }
} // anonymous namespace
namespace opencv_test
{
INSTANTIATE_TEST_CASE_P(CPU_Tests, TestGAPIStereo,
Combine(Values(CV_8UC1),
Values(cv::Size(1280, 720)),
Values(CV_32FC1),
Values(STEREO_CPU),
Values(cv::gapi::StereoOutputFormat::DEPTH_FLOAT16,
cv::gapi::StereoOutputFormat::DEPTH_FLOAT32,
cv::gapi::StereoOutputFormat::DISPARITY_FIXED16_12_4),
Values(16),
Values(43),
Values(10.),
Values(100.),
Values(AbsExact().to_compare_obj())));
} // opencv_test

138
modules/gapi/test/cpu/gapi_video_tests_cpu.cpp Normal file
View File

@@ -0,0 +1,138 @@
// 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) 2020 Intel Corporation
#include "../test_precomp.hpp"
#include "../common/gapi_video_tests.hpp"
#include <opencv2/gapi/cpu/video.hpp>
namespace
{
#define VIDEO_CPU [] () { return cv::compile_args(cv::gapi::video::cpu::kernels()); }
#ifdef HAVE_OPENCV_VIDEO
#define WITH_VIDEO(X) X
#else
#define WITH_VIDEO(X) DISABLED_##X
#endif // HAVE_OPENCV_VIDEO
#define INSTANTIATE_TEST_CASE_MACRO_P(prefix, test_case_name, generator, ...) \
INSTANTIATE_TEST_CASE_P(prefix, test_case_name, generator, __VA_ARGS__)
} // anonymous namespace
namespace opencv_test
{
INSTANTIATE_TEST_CASE_MACRO_P(WITH_VIDEO(BuildOptFlowPyramidTestCPU), BuildOptFlowPyramidTest,
Combine(Values(VIDEO_CPU),
Values("cv/optflow/rock_1.bmp",
"cv/optflow/frames/1080p_01.png"),
Values(7, 11),
Values(1000),
testing::Bool(),
Values(BORDER_DEFAULT, BORDER_TRANSPARENT),
Values(BORDER_DEFAULT, BORDER_TRANSPARENT),
testing::Bool()));
INSTANTIATE_TEST_CASE_MACRO_P(WITH_VIDEO(BuildOptFlowPyramidInternalTestCPU),
BuildOptFlowPyramidTest,
Combine(Values(VIDEO_CPU),
Values("cv/optflow/rock_1.bmp"),
Values(15),
Values(3),
Values(true),
Values(BORDER_REFLECT_101),
Values(BORDER_CONSTANT),
Values(true)));
INSTANTIATE_TEST_CASE_MACRO_P(WITH_VIDEO(OptFlowLKTestCPU), OptFlowLKTest,
Combine(Values(VIDEO_CPU),
Values("cv/optflow/rock_%01d.bmp",
"cv/optflow/frames/1080p_%02d.png"),
Values(1, 3, 4),
Values(std::make_tuple(9, 9), std::make_tuple(15, 15)),
Values(7, 11),
Values(cv::TermCriteria(cv::TermCriteria::COUNT |
cv::TermCriteria::EPS,
30, 0.01))));
INSTANTIATE_TEST_CASE_MACRO_P(WITH_VIDEO(OptFlowLKTestForPyrCPU), OptFlowLKTestForPyr,
Combine(Values(VIDEO_CPU),
Values("cv/optflow/rock_%01d.bmp",
"cv/optflow/frames/1080p_%02d.png"),
Values(1, 3, 4),
Values(std::make_tuple(9, 9), std::make_tuple(15, 15)),
Values(7, 11),
Values(cv::TermCriteria(cv::TermCriteria::COUNT |
cv::TermCriteria::EPS,
30, 0.01)),
testing::Bool()));
INSTANTIATE_TEST_CASE_MACRO_P(WITH_VIDEO(OptFlowLKInternalTestCPU), OptFlowLKTestForPyr,
Combine(Values(VIDEO_CPU),
Values("cv/optflow/rock_%01d.bmp"),
Values(1),
Values(std::make_tuple(10, 10)),
Values(15),
Values(cv::TermCriteria(cv::TermCriteria::COUNT |
cv::TermCriteria::EPS,
21, 0.05)),
Values(true)));
INSTANTIATE_TEST_CASE_MACRO_P(WITH_VIDEO(BuildPyr_CalcOptFlow_PipelineTestCPU),
BuildPyr_CalcOptFlow_PipelineTest,
Combine(Values(VIDEO_CPU),
Values("cv/optflow/frames/1080p_%02d.png"),
Values(7, 11),
Values(1000),
testing::Bool()));
INSTANTIATE_TEST_CASE_MACRO_P(WITH_VIDEO(BuildPyr_CalcOptFlow_PipelineInternalTestCPU),
BuildPyr_CalcOptFlow_PipelineTest,
Combine(Values(VIDEO_CPU),
Values("cv/optflow/rock_%01d.bmp"),
Values(15),
Values(3),
Values(true)));
INSTANTIATE_TEST_CASE_MACRO_P(WITH_VIDEO(BackgroundSubtractorTestCPU),
BackgroundSubtractorTest,
Combine(Values(VIDEO_CPU),
Values(std::make_tuple(cv::gapi::video::TYPE_BS_MOG2, 16),
std::make_tuple(cv::gapi::video::TYPE_BS_MOG2, 8),
std::make_tuple(cv::gapi::video::TYPE_BS_KNN, 400),
std::make_tuple(cv::gapi::video::TYPE_BS_KNN, 200)),
Values(500, 50),
testing::Bool(),
Values(-1, 0, 0.5, 1),
Values("cv/video/768x576.avi"),
Values(3)));
INSTANTIATE_TEST_CASE_MACRO_P(KalmanFilterTestCPU,
KalmanFilterTest,
Combine(Values(VIDEO_CPU),
Values(CV_32FC1, CV_64FC1),
Values(2,5),
Values(2,5),
Values(2),
Values(5)));
INSTANTIATE_TEST_CASE_MACRO_P(KalmanFilterTestCPU,
KalmanFilterNoControlTest,
Combine(Values(VIDEO_CPU),
Values(CV_32FC1, CV_64FC1),
Values(3),
Values(4),
Values(3)));
INSTANTIATE_TEST_CASE_MACRO_P(KalmanFilterTestCPU,
KalmanFilterCircleSampleTest,
Combine(Values(VIDEO_CPU),
Values(CV_32FC1, CV_64FC1),
Values(5)));
} // opencv_test