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98 lines
2.6 KiB
C++
98 lines
2.6 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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namespace opencv_test
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{
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TEST(GAPI, Mat_Create_NoLink)
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{
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cv::Mat m1;
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cv::Mat m2 = m1;
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m2.create(32, 32, CV_8U);
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EXPECT_NE(m1.rows, m2.rows);
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EXPECT_NE(m1.cols, m2.cols);
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EXPECT_NE(m1.data, m2.data);
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}
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TEST(GAPI, Mat_Recreate)
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{
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cv::Mat m1 = cv::Mat::zeros(480, 640, CV_8U);
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m1.at<uchar>(0, 0) = 128;
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cv::Mat m2 = m1;
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EXPECT_EQ(m1.rows, m2.rows);
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EXPECT_EQ(m1.cols, m2.cols);
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EXPECT_EQ(m1.data, m2.data);
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EXPECT_EQ(m1.at<uchar>(0, 0), m2.at<uchar>(0, 0));
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// Calling "create" with the same meta is NOOP - both m1 and m2 are the same
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m1.create(480, 640, CV_8U);
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EXPECT_EQ(m1.rows, m2.rows);
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EXPECT_EQ(m1.cols, m2.cols);
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EXPECT_EQ(m1.data, m2.data);
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EXPECT_EQ(m1.at<uchar>(0, 0), m2.at<uchar>(0, 0));
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// Calling "create" on m2 with different meta doesn't update original m1
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// Now m1 and m2 are distinct
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m2.create(720, 1280, CV_8U);
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m2.at<uchar>(0, 0) = 64; // Initialize 0,0 element since m2 is a new buffer
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EXPECT_NE(m1.rows, m2.rows);
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EXPECT_NE(m1.cols, m2.cols);
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EXPECT_NE(m1.data, m2.data);
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EXPECT_NE(m1.at<uchar>(0, 0), m2.at<uchar>(0, 0));
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// What if a Mat is created from handle?
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uchar data[] = {
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32, 0, 0,
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0, 0, 0,
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0, 0, 0
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};
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cv::Mat m3(3, 3, CV_8U, data);
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cv::Mat m4 = m3;
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EXPECT_EQ(m3.rows, m4.rows);
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EXPECT_EQ(m3.cols, m4.cols);
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EXPECT_EQ(m3.data, m4.data);
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EXPECT_EQ(data, m3.data);
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EXPECT_EQ(data, m4.data);
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EXPECT_EQ(m3.at<uchar>(0, 0), m4.at<uchar>(0, 0));
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// cv::Mat::create must be NOOP if we don't change the meta,
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// even if the original mat is created from handle.
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m4.create(3, 3, CV_8U);
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EXPECT_EQ(m3.rows, m4.rows);
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EXPECT_EQ(m3.cols, m4.cols);
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EXPECT_EQ(m3.data, m4.data);
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EXPECT_EQ(data, m3.data);
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EXPECT_EQ(data, m4.data);
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EXPECT_EQ(m3.at<uchar>(0, 0), m4.at<uchar>(0, 0));
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}
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TEST(GAPI, EmptyOutMat)
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{
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cv::Mat in_mat = cv::Mat(480, 640, CV_8U, cv::Scalar(64));
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cv::GComputation cc([]()
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{
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cv::GMat in;
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cv::GMat out = in + in;
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return cv::GComputation(in, out);
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});
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cv::Mat out;
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cc.apply(in_mat, out);
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EXPECT_EQ(640, out.cols);
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EXPECT_EQ(480, out.rows);
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EXPECT_EQ(CV_8U, out.type());
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EXPECT_EQ(0, cvtest::norm(out, (in_mat+in_mat), NORM_INF));
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}
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}
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