85 lines
3.3 KiB
C++
85 lines
3.3 KiB
C++
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/*
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By downloading, copying, installing or using the software you agree to this
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license. If you do not agree to this license, do not download, install,
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copy or use the software.
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License Agreement
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For Open Source Computer Vision Library
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(3-clause BSD License)
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Copyright (C) 2013, OpenCV Foundation, all rights reserved.
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Third party copyrights are property of their respective owners.
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Redistribution and use in source and binary forms, with or without modification,
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are permitted provided that the following conditions are met:
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* Redistributions of source code must retain the above copyright notice,
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this list of conditions and the following disclaimer.
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* Redistributions in binary form must reproduce the above copyright notice,
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this list of conditions and the following disclaimer in the documentation
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and/or other materials provided with the distribution.
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* Neither the names of the copyright holders nor the names of the contributors
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may be used to endorse or promote products derived from this software
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without specific prior written permission.
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This software is provided by the copyright holders and contributors "as is" and
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any express or implied warranties, including, but not limited to, the implied
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warranties of merchantability and fitness for a particular purpose are
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disclaimed. In no event shall copyright holders or contributors be liable for
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any direct, indirect, incidental, special, exemplary, or consequential damages
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(including, but not limited to, procurement of substitute goods or services;
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loss of use, data, or profits; or business interruption) however caused
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and on any theory of liability, whether in contract, strict liability,
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or tort (including negligence or otherwise) arising in any way out of
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the use of this software, even if advised of the possibility of such damage.
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*/
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#include "test_precomp.hpp"
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namespace opencv_test { namespace {
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// regression for #1267
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// let's make sure, that both Algorithm::save(String) and
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// FaceRecognizer::write(String) lead to the same result
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void make_test_data(std::vector<cv::Mat> &images, std::vector<int> &labels) {
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for (int i=0; i<5; i++) {
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cv::Mat m(100,100,CV_8U);
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cv::randu(m,0,255);
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images.push_back(m);
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labels.push_back(i);
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}
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}
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TEST(CV_Face_SAVELOAD, use_save) {
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std::vector<cv::Mat> images;
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std::vector<int> labels;
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make_test_data(images, labels);
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cv::Ptr<cv::face::FaceRecognizer> model1 = cv::face::LBPHFaceRecognizer::create();
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model1->train(images,labels);
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model1->save("fr.xml");
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int p1 = model1->predict(images[2]);
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cv::Ptr<cv::face::FaceRecognizer> model2 = cv::face::LBPHFaceRecognizer::create();
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model2->read("fr.xml");
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EXPECT_EQ(model2->empty(), false);
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EXPECT_EQ(p1, model2->predict(images[2]));
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}
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TEST(CV_Face_SAVELOAD, use_write) {
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std::vector<cv::Mat> images;
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std::vector<int> labels;
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make_test_data(images, labels);
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cv::Ptr<cv::face::FaceRecognizer> model1 = cv::face::LBPHFaceRecognizer::create();
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model1->train(images,labels);
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model1->write("fr.xml");
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int p1 = model1->predict(images[2]);
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cv::Ptr<cv::face::FaceRecognizer> model2 = cv::face::LBPHFaceRecognizer::create();
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model2->read("fr.xml");
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EXPECT_EQ(model2->empty(), false);
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EXPECT_EQ(p1, model2->predict(images[2]));
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}
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}} // namespace
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