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Open Source Computer Vision Library
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331 lines
9.3 KiB
331 lines
9.3 KiB
// This file is part of OpenCV project. |
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// It is subject to the license terms in the LICENSE file found in the top-level directory |
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// of this distribution and at http://opencv.org/license.html. |
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// |
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// Copyright (C) 2020 Intel Corporation |
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#include "../test_precomp.hpp" |
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#include <opencv2/gapi/cpu/core.hpp> |
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#include <opencv2/gapi/cpu/imgproc.hpp> |
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namespace opencv_test |
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{ |
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typedef ::testing::Types<cv::GMat, cv::GMatP, cv::GFrame, |
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cv::GScalar, cv::GOpaque<int>, |
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cv::GArray<int>> VectorProtoTypes; |
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template<typename T> struct DynamicGraphProtoArgs: public ::testing::Test { using Type = T; }; |
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TYPED_TEST_CASE(DynamicGraphProtoArgs, VectorProtoTypes); |
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TYPED_TEST(DynamicGraphProtoArgs, AddProtoInputArgsSmoke) |
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{ |
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using T = typename TestFixture::Type; |
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auto ins = GIn(); |
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T in; |
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EXPECT_NO_THROW(ins += GIn(in)); |
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} |
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TYPED_TEST(DynamicGraphProtoArgs, AddProtoInputArgs) |
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{ |
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using T = typename TestFixture::Type; |
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T in1, in2; |
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auto ins1 = GIn(); |
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ins1 += GIn(in1); |
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ins1 += GIn(in2); |
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auto ins2 = GIn(in1, in2); |
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EXPECT_EQ(ins1.m_args.size(), ins2.m_args.size()); |
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} |
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TYPED_TEST(DynamicGraphProtoArgs, AddProtoOutputArgsSmoke) |
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{ |
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using T = typename TestFixture::Type; |
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auto outs = GOut(); |
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T out; |
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EXPECT_NO_THROW(outs += GOut(out)); |
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} |
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TYPED_TEST(DynamicGraphProtoArgs, AddProtoOutputArgs) |
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{ |
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using T = typename TestFixture::Type; |
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T out1, out2; |
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auto outs1 = GOut(); |
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outs1 += GOut(out1); |
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outs1 += GOut(out2); |
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auto outs2 = GOut(out1, out2); |
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EXPECT_EQ(outs1.m_args.size(), outs2.m_args.size()); |
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} |
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typedef ::testing::Types<cv::Mat, |
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#if !defined(GAPI_STANDALONE) |
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cv::UMat, |
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#endif // !defined(GAPI_STANDALONE) |
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cv::Scalar, |
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cv::detail::VectorRef, |
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cv::detail::OpaqueRef> VectorRunTypes; |
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template<typename T> struct DynamicGraphRunArgs: public ::testing::Test { using Type = T; }; |
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TYPED_TEST_CASE(DynamicGraphRunArgs, VectorRunTypes); |
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TYPED_TEST(DynamicGraphRunArgs, AddRunArgsSmoke) |
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{ |
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auto in_vector = cv::gin(); |
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using T = typename TestFixture::Type; |
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T in; |
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EXPECT_NO_THROW(in_vector += cv::gin(in)); |
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} |
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TYPED_TEST(DynamicGraphRunArgs, AddRunArgs) |
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{ |
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using T = typename TestFixture::Type; |
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T in1, in2; |
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auto in_vector1 = cv::gin(); |
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in_vector1 += cv::gin(in1); |
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in_vector1 += cv::gin(in2); |
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auto in_vector2 = cv::gin(in1, in2); |
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EXPECT_EQ(in_vector1.size(), in_vector2.size()); |
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} |
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TYPED_TEST(DynamicGraphRunArgs, AddRunArgsPSmoke) |
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{ |
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auto out_vector = cv::gout(); |
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using T = typename TestFixture::Type; |
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T out; |
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EXPECT_NO_THROW(out_vector += cv::gout(out)); |
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} |
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TYPED_TEST(DynamicGraphRunArgs, AddRunArgsP) |
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{ |
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using T = typename TestFixture::Type; |
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T out1, out2; |
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auto out_vector1 = cv::gout(); |
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out_vector1 += cv::gout(out1); |
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out_vector1 += cv::gout(out2); |
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auto out_vector2 = cv::gout(out1, out2); |
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EXPECT_EQ(out_vector1.size(), out_vector2.size()); |
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} |
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TEST(DynamicGraph, ProtoInputArgsExecute) |
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{ |
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cv::GComputation cc([]() { |
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cv::GMat in1; |
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auto ins = GIn(in1); |
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cv::GMat in2; |
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ins += GIn(in2); |
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cv::GMat out = cv::gapi::copy(in1 + in2); |
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return cv::GComputation(std::move(ins), GOut(out)); |
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}); |
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cv::Mat in_mat1 = cv::Mat::eye(32, 32, CV_8UC1); |
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cv::Mat in_mat2 = cv::Mat::eye(32, 32, CV_8UC1); |
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cv::Mat out_mat; |
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EXPECT_NO_THROW(cc.apply(cv::gin(in_mat1, in_mat2), cv::gout(out_mat))); |
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} |
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TEST(DynamicGraph, ProtoOutputArgsExecute) |
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{ |
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cv::GComputation cc([]() { |
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cv::GMat in; |
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cv::GMat out1 = cv::gapi::copy(in); |
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auto outs = GOut(out1); |
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cv::GMat out2 = cv::gapi::copy(in); |
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outs += GOut(out2); |
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return cv::GComputation(cv::GIn(in), std::move(outs)); |
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}); |
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cv::Mat in_mat1 = cv::Mat::eye(32, 32, CV_8UC1); |
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cv::Mat out_mat1; |
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cv::Mat out_mat2; |
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EXPECT_NO_THROW(cc.apply(cv::gin(in_mat1), cv::gout(out_mat1, out_mat1))); |
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} |
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TEST(DynamicGraph, ProtoOutputInputArgsExecute) |
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{ |
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cv::GComputation cc([]() { |
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cv::GMat in1; |
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auto ins = GIn(in1); |
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cv::GMat in2; |
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ins += GIn(in2); |
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cv::GMat out1 = cv::gapi::copy(in1 + in2); |
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auto outs = GOut(out1); |
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cv::GMat out2 = cv::gapi::copy(in1 + in2); |
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outs += GOut(out2); |
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return cv::GComputation(std::move(ins), std::move(outs)); |
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}); |
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cv::Mat in_mat1 = cv::Mat::eye(32, 32, CV_8UC1); |
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cv::Mat in_mat2 = cv::Mat::eye(32, 32, CV_8UC1); |
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cv::Mat out_mat1, out_mat2; |
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EXPECT_NO_THROW(cc.apply(cv::gin(in_mat1, in_mat2), cv::gout(out_mat1, out_mat2))); |
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} |
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TEST(DynamicGraph, ProtoArgsExecute) |
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{ |
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cv::GComputation cc([]() { |
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cv::GMat in1; |
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auto ins = GIn(in1); |
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cv::GMat in2; |
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ins += GIn(in2); |
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cv::GMat out1 = cv::gapi::copy(in1 + in2); |
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auto outs = GOut(out1); |
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cv::GMat out2 = cv::gapi::copy(in1 + in2); |
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outs += GOut(out2); |
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return cv::GComputation(std::move(ins), std::move(outs)); |
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}); |
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cv::Mat in_mat1 = cv::Mat::eye(32, 32, CV_8UC1); |
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cv::Mat in_mat2 = cv::Mat::eye(32, 32, CV_8UC1); |
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cv::Mat out_mat1, out_mat2; |
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EXPECT_NO_THROW(cc.apply(cv::gin(in_mat1, in_mat2), cv::gout(out_mat1, out_mat2))); |
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} |
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TEST(DynamicGraph, ProtoOutputInputArgsAccuracy) |
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{ |
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cv::Size szOut(4, 4); |
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cv::GComputation cc([&](){ |
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cv::GMat in1; |
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auto ins = GIn(in1); |
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cv::GMat in2; |
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ins += GIn(in2); |
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cv::GMat out1 = cv::gapi::resize(in1, szOut); |
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auto outs = GOut(out1); |
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cv::GMat out2 = cv::gapi::resize(in2, szOut); |
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outs += GOut(out2); |
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return cv::GComputation(std::move(ins), std::move(outs)); |
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}); |
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// G-API test code |
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cv::Mat in_mat1( 8, 8, CV_8UC3); |
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cv::Mat in_mat2(16, 16, CV_8UC3); |
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cv::randu(in_mat1, cv::Scalar::all(0), cv::Scalar::all(255)); |
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cv::randu(in_mat2, cv::Scalar::all(0), cv::Scalar::all(255)); |
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auto in_vector = cv::gin(); |
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in_vector += cv::gin(in_mat1); |
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in_vector += cv::gin(in_mat2); |
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cv::Mat out_mat1, out_mat2; |
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auto out_vector = cv::gout(); |
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out_vector += cv::gout(out_mat1); |
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out_vector += cv::gout(out_mat2); |
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cc.apply(std::move(in_vector), std::move(out_vector)); |
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// OCV ref code |
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cv::Mat cv_out_mat1, cv_out_mat2; |
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cv::resize(in_mat1, cv_out_mat1, szOut); |
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cv::resize(in_mat2, cv_out_mat2, szOut); |
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EXPECT_EQ(0, cvtest::norm(out_mat1, cv_out_mat1, NORM_INF)); |
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EXPECT_EQ(0, cvtest::norm(out_mat2, cv_out_mat2, NORM_INF)); |
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} |
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TEST(DynamicGraph, Streaming) |
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{ |
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cv::GComputation cc([&](){ |
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cv::Size szOut(4, 4); |
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cv::GMat in1; |
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auto ins = GIn(in1); |
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cv::GMat in2; |
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ins += GIn(in2); |
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cv::GMat out1 = cv::gapi::resize(in1, szOut); |
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auto outs = GOut(out1); |
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cv::GMat out2 = cv::gapi::resize(in2, szOut); |
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outs += GOut(out2); |
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return cv::GComputation(std::move(ins), std::move(outs)); |
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}); |
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EXPECT_NO_THROW(cc.compileStreaming(cv::compile_args(cv::gapi::core::cpu::kernels()))); |
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} |
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TEST(DynamicGraph, StreamingAccuracy) |
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{ |
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cv::Size szOut(4, 4); |
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cv::GComputation cc([&](){ |
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cv::GMat in1; |
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auto ins = GIn(in1); |
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cv::GMat in2; |
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ins += GIn(in2); |
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cv::GMat out1 = cv::gapi::resize(in1, szOut); |
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cv::GProtoOutputArgs outs = GOut(out1); |
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cv::GMat out2 = cv::gapi::resize(in2, szOut); |
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outs += GOut(out2); |
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return cv::GComputation(std::move(ins), std::move(outs)); |
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}); |
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// G-API test code |
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cv::Mat in_mat1( 8, 8, CV_8UC3); |
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cv::Mat in_mat2(16, 16, CV_8UC3); |
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cv::randu(in_mat1, cv::Scalar::all(0), cv::Scalar::all(255)); |
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cv::randu(in_mat2, cv::Scalar::all(0), cv::Scalar::all(255)); |
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auto in_vector = cv::gin(); |
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in_vector += cv::gin(in_mat1); |
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in_vector += cv::gin(in_mat2); |
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cv::Mat out_mat1, out_mat2; |
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auto out_vector = cv::gout(); |
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out_vector += cv::gout(out_mat1); |
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out_vector += cv::gout(out_mat2); |
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auto stream = cc.compileStreaming(cv::compile_args(cv::gapi::core::cpu::kernels())); |
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stream.setSource(std::move(in_vector)); |
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stream.start(); |
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stream.pull(std::move(out_vector)); |
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stream.stop(); |
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// OCV ref code |
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cv::Mat cv_out_mat1, cv_out_mat2; |
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cv::resize(in_mat1, cv_out_mat1, szOut); |
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cv::resize(in_mat2, cv_out_mat2, szOut); |
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EXPECT_EQ(0, cvtest::norm(out_mat1, cv_out_mat1, NORM_INF)); |
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EXPECT_EQ(0, cvtest::norm(out_mat2, cv_out_mat2, NORM_INF)); |
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} |
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} // namespace opencv_test
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