140 lines
4.7 KiB
C++
140 lines
4.7 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 <string>
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#ifdef HAVE_CONFIG_H
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#include <cvconfig.h>
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#endif
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#ifdef HAVE_TBB
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#include "tbb/task_scheduler_init.h"
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#endif
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using namespace cv;
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const int num_detections = 3;
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const float true_scores[3] = {-0.383931f, -0.825876f, -0.959934f};
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const float score_thr = 0.05f;
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const CvRect true_bounding_boxes[3] = {cvRect(0, 45, 362, 452), cvRect(304, 0, 64, 80), cvRect(236, 0, 108, 59)};
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class CV_LatentSVMDetectorTest : public cvtest::BaseTest
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{
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public:
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CV_LatentSVMDetectorTest();
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~CV_LatentSVMDetectorTest();
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protected:
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void run(int);
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private:
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bool isEqual(CvRect r1, CvRect r2);
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};
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CV_LatentSVMDetectorTest::CV_LatentSVMDetectorTest()
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{
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}
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CV_LatentSVMDetectorTest::~CV_LatentSVMDetectorTest() {}
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bool CV_LatentSVMDetectorTest::isEqual(CvRect r1, CvRect r2)
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{
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return ((r1.x == r2.x) && (r1.y == r2.y) && (r1.width == r2.width) && (r1.height == r2.height));
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}
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void CV_LatentSVMDetectorTest::run( int /* start_from */)
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{
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string img_path = string(ts->get_data_path()) + "latentsvmdetector/cat.jpg";
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string model_path = string(ts->get_data_path()) + "latentsvmdetector/cat.xml";
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int numThreads = -1;
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#ifdef HAVE_TBB
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numThreads = 2;
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tbb::task_scheduler_init init(tbb::task_scheduler_init::deferred);
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init.initialize(numThreads);
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#endif
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IplImage* image = cvLoadImage(img_path.c_str());
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if (!image)
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{
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ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
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return;
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}
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CvLatentSvmDetector* detector = cvLoadLatentSvmDetector(model_path.c_str());
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if (!detector)
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{
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ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
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cvReleaseImage(&image);
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return;
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}
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CvMemStorage* storage = cvCreateMemStorage(0);
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CvSeq* detections = 0;
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detections = cvLatentSvmDetectObjects(image, detector, storage, 0.5f, numThreads);
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if (detections->total != num_detections)
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{
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ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH );
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}
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else
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{
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ts->set_failed_test_info(cvtest::TS::OK);
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for (int i = 0; i < detections->total; i++)
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{
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CvObjectDetection detection = *(CvObjectDetection*)cvGetSeqElem( detections, i );
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CvRect bounding_box = detection.rect;
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float score = detection.score;
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if ((!isEqual(bounding_box, true_bounding_boxes[i])) || (fabs(score - true_scores[i]) > score_thr))
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{
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ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH );
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break;
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}
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}
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}
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#ifdef HAVE_TBB
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init.terminate();
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#endif
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cvReleaseMemStorage( &storage );
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cvReleaseLatentSvmDetector( &detector );
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cvReleaseImage( &image );
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}
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TEST(Objdetect_LatentSVMDetector, regression) { CV_LatentSVMDetectorTest test; test.safe_run(); }
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