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Migrate G-API module from main repo to opencv_contrib #3827 Related to https://github.com/opencv/opencv/pull/26469 Required https://github.com/opencv/opencv/pull/26527 CI: https://github.com/opencv/ci-gha-workflow/pull/201 TODO: - [x] Python types generator fix - [x] CI update ### Pull Request Readiness Checklist See details at https://github.com/opencv/opencv/wiki/How_to_contribute#making-a-good-pull-request - [x] I agree to contribute to the project under Apache 2 License. - [x] To the best of my knowledge, the proposed patch is not based on a code under GPL or another license that is incompatible with OpenCV - [ ] The PR is proposed to the proper branch - [ ] There is a reference to the original bug report and related work - [ ] There is accuracy test, performance test and test data in opencv_extra repository, if applicable Patch to opencv_extra has the same branch name. - [ ] The feature is well documented and sample code can be built with the project CMake
332 lines
9.3 KiB
C++
332 lines
9.3 KiB
C++
// 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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