/*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) 2008-2011, 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: // // * Redistributions of source code must retain the above copyright notice, // this list of conditions and the following disclaimer. // // * Redistributions 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" TEST(SoftCascade, readCascade) { std::string xml = cvtest::TS::ptr()->get_data_path() + "cascadeandhog/icf-template.xml"; cv::SoftCascade cascade; ASSERT_TRUE(cascade.load(xml)); } TEST(SoftCascade, detect) { typedef cv::SoftCascade::Detection detection_t; std::string xml = cvtest::TS::ptr()->get_data_path() + "cascadeandhog/sc_cvpr_2012_to_opencv.xml"; cv::SoftCascade cascade; ASSERT_TRUE(cascade.load(xml)); cv::Mat colored = cv::imread(cvtest::TS::ptr()->get_data_path() + "cascadeandhog/bahnhof/image_00000000_0.png"); ASSERT_FALSE(colored.empty()); std::vector objects; std::vector rois; rois.push_back(cv::Rect(0, 0, 640, 480)); cascade.detectMultiScale(colored, rois, objects); std::cout << "detected: " << (int)objects.size() << std::endl; cv::Mat out = colored.clone(); int level = 0, total = 0; int levelWidth = objects[0].rect.width; for(int i = 0 ; i < (int)objects.size(); ++i) { if (objects[i].rect.width != levelWidth) { std::cout << "Level: " << level << " total " << total << std::endl; cv::imshow("out", out); cv::waitKey(0); out = colored.clone(); levelWidth = objects[i].rect.width; total = 0; level++; } cv::rectangle(out, objects[i].rect, cv::Scalar(255, 0, 0, 255), 1); std::cout << "detection: " << objects[i].rect.x << " " << objects[i].rect.y << " " << objects[i].rect.width << " " << objects[i].rect.height << std::endl; total++; } }