207 lines
6.9 KiB
C++
207 lines
6.9 KiB
C++
/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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//
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// By downloading, copying, installing or using the software you agree to this license.
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// 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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//
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//
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// License Agreement
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// For Open Source Computer Vision Library
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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// Copyright (C) 2009, Willow Garage Inc., all rights reserved.
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// Third party copyrights are property of their respective owners.
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//
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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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//
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// * Redistribution's 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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//
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// * Redistribution's 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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//
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// * The name of the copyright holders may not be used to endorse or promote products
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// derived from this software without specific prior written permission.
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//
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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 disclaimed.
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// In no event shall the Intel Corporation or contributors be liable for any direct,
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// 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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//M*/
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#include "test_precomp.hpp"
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#include <vector>
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#include <string>
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using namespace std;
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using namespace cv;
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class CV_MserTest : public cvtest::BaseTest
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{
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public:
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CV_MserTest();
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protected:
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void run(int);
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int LoadBoxes(const char* path, vector<CvBox2D>& boxes);
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int SaveBoxes(const char* path, const vector<CvBox2D>& boxes);
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int CompareBoxes(const vector<CvBox2D>& boxes1,const vector<CvBox2D>& boxes2, float max_rel_diff = 0.01f);
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};
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CV_MserTest::CV_MserTest()
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{
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}
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int CV_MserTest::LoadBoxes(const char* path, vector<CvBox2D>& boxes)
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{
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boxes.clear();
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FILE* f = fopen(path,"r");
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if (f==NULL)
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{
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return 0;
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}
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while (!feof(f))
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{
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CvBox2D box;
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int values_read = fscanf(f,"%f,%f,%f,%f,%f\n",&box.angle,&box.center.x,&box.center.y,&box.size.width,&box.size.height);
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CV_Assert(values_read == 5);
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boxes.push_back(box);
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}
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fclose(f);
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return 1;
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}
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int CV_MserTest::SaveBoxes(const char* path, const vector<CvBox2D>& boxes)
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{
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FILE* f = fopen(path,"w");
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if (f==NULL)
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{
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return 0;
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}
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for (int i=0;i<(int)boxes.size();i++)
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{
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fprintf(f,"%f,%f,%f,%f,%f\n",boxes[i].angle,boxes[i].center.x,boxes[i].center.y,boxes[i].size.width,boxes[i].size.height);
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}
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fclose(f);
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return 1;
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}
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int CV_MserTest::CompareBoxes(const vector<CvBox2D>& boxes1,const vector<CvBox2D>& boxes2, float max_rel_diff)
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{
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if (boxes1.size() != boxes2.size())
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return 0;
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for (int i=0; i<(int)boxes1.size();i++)
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{
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float rel_diff;
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if (!((boxes1[i].angle == 0.0f) && (abs(boxes2[i].angle) < max_rel_diff)))
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{
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float angle_diff = (float)fmod(boxes1[i].angle - boxes2[i].angle, 180);
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// for angular correctness, it makes no sense to use a "relative" error.
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// a 1-degree error around 5 degrees is equally bas as around 250 degrees.
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// in correct cases, angle_diff can now be a bit above 0 or a bit below 180
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if (angle_diff > 90.0f)
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{
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angle_diff -= 180.0f;
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}
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rel_diff = (float)fabs(angle_diff);
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if (rel_diff > max_rel_diff)
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return i;
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}
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if (!((boxes1[i].center.x == 0.0f) && (abs(boxes2[i].center.x) < max_rel_diff)))
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{
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rel_diff = abs(boxes1[i].center.x-boxes2[i].center.x)/abs(boxes1[i].center.x);
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if (rel_diff > max_rel_diff)
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return i;
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}
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if (!((boxes1[i].center.y == 0.0f) && (abs(boxes2[i].center.y) < max_rel_diff)))
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{
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rel_diff = abs(boxes1[i].center.y-boxes2[i].center.y)/abs(boxes1[i].center.y);
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if (rel_diff > max_rel_diff)
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return i;
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}
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if (!((boxes1[i].size.width == 0.0f) && (abs(boxes2[i].size.width) < max_rel_diff)))
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{
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rel_diff = abs(boxes1[i].size.width-boxes2[i].size.width)/abs(boxes1[i].size.width);
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if (rel_diff > max_rel_diff)
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return i;
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}
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if (!((boxes1[i].size.height == 0.0f) && (abs(boxes2[i].size.height) < max_rel_diff)))
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{
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rel_diff = abs(boxes1[i].size.height-boxes2[i].size.height)/abs(boxes1[i].size.height);
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if (rel_diff > max_rel_diff)
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return i;
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}
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}
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return -1;
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}
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void CV_MserTest::run(int)
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{
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string image_path = string(ts->get_data_path()) + "mser/puzzle.png";
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Mat img = imread( image_path );
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if (img.empty())
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{
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ts->printf( cvtest::TS::LOG, "Unable to open image mser/puzzle.png\n");
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ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
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return;
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}
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Mat yuv;
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cvtColor(img, yuv, COLOR_BGR2YCrCb);
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vector<vector<Point> > msers;
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MSER()(yuv, msers);
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vector<CvBox2D> boxes;
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vector<CvBox2D> boxes_orig;
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for ( size_t i = 0; i < msers.size(); i++ )
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{
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RotatedRect box = fitEllipse(msers[i]);
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box.angle=(float)CV_PI/2-box.angle;
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boxes.push_back(box);
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}
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string boxes_path = string(ts->get_data_path()) + "mser/boxes.txt";
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string calc_boxes_path = string(ts->get_data_path()) + "mser/boxes.calc.txt";
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if (!LoadBoxes(boxes_path.c_str(),boxes_orig))
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{
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SaveBoxes(boxes_path.c_str(),boxes);
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ts->printf( cvtest::TS::LOG, "Unable to open data file mser/boxes.txt\n");
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ts->set_failed_test_info(cvtest::TS::FAIL_MISSING_TEST_DATA);
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return;
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}
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const float dissimularity = 0.01f;
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int n_box = CompareBoxes(boxes_orig,boxes,dissimularity);
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if (n_box < 0)
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{
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ts->set_failed_test_info(cvtest::TS::OK);
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}
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else
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{
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SaveBoxes(calc_boxes_path.c_str(), boxes);
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ts->set_failed_test_info(cvtest::TS::FAIL_BAD_ACCURACY);
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ts->printf( cvtest::TS::LOG, "Incorrect correspondence in box %d\n",n_box);
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}
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}
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TEST(Features2d_MSER, DISABLED_regression) { CV_MserTest test; test.safe_run(); }
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