/*M/////////////////////////////////////////////////////////////////////////////////////// // // IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING. // // By downloading, copying, installing or using the software you agree to this license. // If you do not agree to this license, do not download, install, // copy or use the software. // // // License Agreement // For Open Source Computer Vision Library // // Copyright (C) 2000-2008, Intel Corporation, all rights reserved. // Copyright (C) 2009, Willow Garage Inc., all rights reserved. // Third party copyrights are property of their respective owners. // // Redistribution and use in source and binary forms, with or without modification, // are permitted provided that the following conditions are met: // // * Redistribution's of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistribution's in binary form must reproduce the above copyright notice, // this list of conditions and the following disclaimer in the documentation // and/or other materials provided with the distribution. // // * The name of the copyright holders may not be used to endorse or promote products // derived from this software without specific prior written permission. // // This software is provided by the copyright holders and contributors "as is" and // any express or implied warranties, including, but not limited to, the implied // warranties of merchantability and fitness for a particular purpose are disclaimed. // In no event shall the Intel Corporation or contributors be liable for any direct, // indirect, incidental, special, exemplary, or consequential damages // (including, but not limited to, procurement of substitute goods or services; // loss of use, data, or profits; or business interruption) however caused // and on any theory of liability, whether in contract, strict liability, // or tort (including negligence or otherwise) arising in any way out of // the use of this software, even if advised of the possibility of such damage. // //M*/ #include "test_precomp.hpp" #include using namespace cv; const int num_detections = 3; const float true_scores[3] = {-0.383931f, -0.825876f, -0.959934f}; const float score_thr = 0.05f; const CvRect true_bounding_boxes[3] = {cvRect(0, 45, 362, 452), cvRect(304, 0, 64, 80), cvRect(236, 0, 108, 59)}; class CV_LatentSVMDetectorTest : public cvtest::BaseTest { public: CV_LatentSVMDetectorTest(); ~CV_LatentSVMDetectorTest(); protected: void run(int); private: bool isEqual(CvRect r1, CvRect r2); }; CV_LatentSVMDetectorTest::CV_LatentSVMDetectorTest() { } CV_LatentSVMDetectorTest::~CV_LatentSVMDetectorTest() {} bool CV_LatentSVMDetectorTest::isEqual(CvRect r1, CvRect r2) { return ((r1.x == r2.x) && (r1.y == r2.y) && (r1.width == r2.width) && (r1.height == r2.height)); } void CV_LatentSVMDetectorTest::run( int /* start_from */) { string img_path = string(ts->get_data_path()) + "latentsvmdetector/cat.jpg"; string model_path = string(ts->get_data_path()) + "latentsvmdetector/cat.xml"; IplImage* image = cvLoadImage(img_path.c_str()); if (!image) { ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA ); return; } CvLatentSvmDetector* detector = cvLoadLatentSvmDetector(model_path.c_str()); if (!detector) { ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA ); cvReleaseImage(&image); return; } CvMemStorage* storage = cvCreateMemStorage(0); CvSeq* detections = 0; detections = cvLatentSvmDetectObjects(image, detector, storage); if (detections->total != num_detections) { ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH ); } else { ts->set_failed_test_info(cvtest::TS::OK); for (int i = 0; i < detections->total; i++) { CvObjectDetection detection = *(CvObjectDetection*)cvGetSeqElem( detections, i ); CvRect bounding_box = detection.rect; float score = detection.score; if ((!isEqual(bounding_box, true_bounding_boxes[i])) || (fabs(score - true_scores[i]) > score_thr)) { ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH ); break; } } } cvReleaseMemStorage( &storage ); cvReleaseLatentSvmDetector( &detector ); cvReleaseImage( &image ); } TEST(Objdetect_LatentSVMDetector, regression) { CV_LatentSVMDetectorTest test; test.safe_run(); }