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2d69dd1215
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
118 lines
2.9 KiB
C++
118 lines
2.9 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) 2018 Intel Corporation
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#include "test_precomp.hpp"
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#include <iostream>
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namespace opencv_test
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{
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TEST(GAPI_Scalar, Argument)
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{
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cv::Size sz(2, 2);
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cv::Mat in_mat(sz, CV_8U);
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cv::randn(in_mat, cv::Scalar::all(127), cv::Scalar::all(40.f));
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cv::GComputationT<cv::GMat (cv::GMat, cv::GScalar)> mulS([](cv::GMat in, cv::GScalar c)
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{
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return in*c;
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});
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cv::Mat out_mat(sz, CV_8U);
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mulS.apply(in_mat, cv::Scalar(2), out_mat);
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cv::Mat reference = in_mat*2;
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EXPECT_EQ(0, cvtest::norm(out_mat, reference, NORM_INF));
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}
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TEST(GAPI_Scalar, ReturnValue)
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{
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const cv::Size sz(2, 2);
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cv::Mat in_mat(sz, CV_8U, cv::Scalar(1));
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cv::GComputationT<cv::GScalar (cv::GMat)> sum_of_sum([](cv::GMat in)
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{
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return cv::gapi::sum(in + in);
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});
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cv::Scalar out;
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sum_of_sum.apply(in_mat, out);
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EXPECT_EQ(8, out[0]);
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}
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TEST(GAPI_Scalar, TmpScalar)
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{
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const cv::Size sz(2, 2);
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cv::Mat in_mat(sz, CV_8U, cv::Scalar(1));
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cv::GComputationT<cv::GMat (cv::GMat)> mul_by_sum([](cv::GMat in)
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{
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return in * cv::gapi::sum(in);
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});
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cv::Mat out_mat(sz, CV_8U);
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mul_by_sum.apply(in_mat, out_mat);
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cv::Mat reference = cv::Mat(sz, CV_8U, cv::Scalar(4));
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EXPECT_EQ(0, cvtest::norm(out_mat, reference, NORM_INF));
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}
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TEST(GAPI_ScalarWithValue, Simple_Arithmetic_Pipeline)
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{
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GMat in;
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GMat out = (in + 1) * 2;
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cv::GComputation comp(in, out);
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cv::Mat in_mat = cv::Mat::eye(3, 3, CV_8UC1);
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cv::Mat ref_mat, out_mat;
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ref_mat = (in_mat + 1) * 2;
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comp.apply(in_mat, out_mat);
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EXPECT_EQ(0, cvtest::norm(out_mat, ref_mat, NORM_INF));
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}
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TEST(GAPI_ScalarWithValue, GScalar_Initilization)
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{
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cv::Scalar sc(2);
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cv::GMat in;
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cv::GScalar s(sc);
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cv::GComputation comp(in, cv::gapi::mulC(in, s));
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cv::Mat in_mat = cv::Mat::eye(3, 3, CV_8UC1);
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cv::Mat ref_mat, out_mat;
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cv::multiply(in_mat, sc, ref_mat, 1, CV_8UC1);
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comp.apply(cv::gin(in_mat), cv::gout(out_mat));
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EXPECT_EQ(0, cvtest::norm(out_mat, ref_mat, NORM_INF));
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}
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TEST(GAPI_ScalarWithValue, Constant_GScalar_In_Middle_Graph)
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{
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cv::Scalar sc(5);
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cv::GMat in1;
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cv::GScalar in2;
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cv::GScalar s(sc);
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auto add_out = cv::gapi::addC(in1, in2);
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cv::GComputation comp(cv::GIn(in1, in2), cv::GOut(cv::gapi::mulC(add_out, s)));
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cv::Mat in_mat = cv::Mat::eye(3, 3, CV_8UC1);
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cv::Scalar in_scalar(3);
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cv::Mat ref_mat, out_mat, add_mat;
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cv::add(in_mat, in_scalar, add_mat);
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cv::multiply(add_mat, sc, ref_mat, 1, CV_8UC1);
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comp.apply(cv::gin(in_mat, in_scalar), cv::gout(out_mat));
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EXPECT_EQ(0, cvtest::norm(out_mat, ref_mat, NORM_INF));
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}
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} // namespace opencv_test
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