2012-08-29 00:01:40 +08:00
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/*M///////////////////////////////////////////////////////////////////////////////////////
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//
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2012-11-06 02:42:08 +08:00
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// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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2012-08-29 00:01:40 +08:00
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//
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2012-11-06 02:42:08 +08:00
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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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2012-08-29 00:01:40 +08:00
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//
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//
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2012-11-06 02:42:08 +08:00
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// License Agreement
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// For Open Source Computer Vision Library
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2012-08-29 00:01:40 +08:00
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//
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// Copyright (C) 2000-2008, Intel Corporation, all rights reserved.
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2012-11-06 02:42:08 +08:00
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// Copyright (C) 2008-2012, Willow Garage Inc., all rights reserved.
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2012-08-29 00:01:40 +08:00
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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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2012-11-06 02:42:08 +08:00
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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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2012-08-29 00:01:40 +08:00
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//
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2012-11-06 02:42:08 +08:00
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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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2012-08-29 00:01:40 +08:00
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//
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2012-11-06 02:42:08 +08:00
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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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2012-08-29 00:01:40 +08:00
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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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2012-11-06 02:42:08 +08:00
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//
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2012-08-29 00:01:40 +08:00
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//M*/
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#include "test_precomp.hpp"
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2012-11-06 02:42:08 +08:00
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TEST(SCascade, readCascade)
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2012-08-29 00:01:40 +08:00
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{
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2012-09-13 00:30:21 +08:00
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std::string xml = cvtest::TS::ptr()->get_data_path() + "cascadeandhog/icf-template.xml";
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2012-11-06 02:42:08 +08:00
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cv::SCascade cascade;
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2012-10-25 13:40:16 +08:00
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cv::FileStorage fs(xml, cv::FileStorage::READ);
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2012-11-06 02:42:08 +08:00
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ASSERT_TRUE(fs.isOpened());
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ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
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2012-08-29 00:01:40 +08:00
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2012-09-05 16:36:37 +08:00
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}
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2012-11-06 02:42:08 +08:00
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TEST(SCascade, detect)
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2012-09-05 16:36:37 +08:00
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{
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2012-11-06 02:42:08 +08:00
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typedef cv::SCascade::Detection Detection;
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2012-09-13 19:15:26 +08:00
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std::string xml = cvtest::TS::ptr()->get_data_path() + "cascadeandhog/sc_cvpr_2012_to_opencv.xml";
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2012-11-06 02:42:08 +08:00
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cv::SCascade cascade;
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2012-10-25 13:40:16 +08:00
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cv::FileStorage fs(xml, cv::FileStorage::READ);
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2012-11-06 02:42:08 +08:00
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ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
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2012-09-05 16:36:37 +08:00
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2012-09-19 13:31:02 +08:00
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cv::Mat colored = cv::imread(cvtest::TS::ptr()->get_data_path() + "cascadeandhog/bahnhof/image_00000000_0.png");
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2012-09-05 16:36:37 +08:00
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ASSERT_FALSE(colored.empty());
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2012-11-06 05:30:20 +08:00
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std::vector<Detection> objects;
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cascade.detect(colored, cv::noArray(), objects);
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2012-11-14 03:08:19 +08:00
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ASSERT_EQ(1459, (int)objects.size());
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2012-11-06 05:30:20 +08:00
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}
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2012-11-13 06:49:35 +08:00
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TEST(SCascade, detectSeparate)
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{
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typedef cv::SCascade::Detection Detection;
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std::string xml = cvtest::TS::ptr()->get_data_path() + "cascadeandhog/sc_cvpr_2012_to_opencv.xml";
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cv::SCascade cascade;
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cv::FileStorage fs(xml, cv::FileStorage::READ);
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ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
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cv::Mat colored = cv::imread(cvtest::TS::ptr()->get_data_path() + "cascadeandhog/bahnhof/image_00000000_0.png");
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ASSERT_FALSE(colored.empty());
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cv::Mat rects, confs;
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cascade.detect(colored, cv::noArray(), rects, confs);
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2012-11-14 03:08:19 +08:00
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ASSERT_EQ(1459, confs.cols);
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2012-11-13 06:49:35 +08:00
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}
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2012-11-06 05:30:20 +08:00
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TEST(SCascade, detectRoi)
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{
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typedef cv::SCascade::Detection Detection;
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std::string xml = cvtest::TS::ptr()->get_data_path() + "cascadeandhog/sc_cvpr_2012_to_opencv.xml";
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cv::SCascade cascade;
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cv::FileStorage fs(xml, cv::FileStorage::READ);
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ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
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cv::Mat colored = cv::imread(cvtest::TS::ptr()->get_data_path() + "cascadeandhog/bahnhof/image_00000000_0.png");
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ASSERT_FALSE(colored.empty());
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2012-11-06 02:42:08 +08:00
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std::vector<Detection> objects;
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2012-09-05 16:36:37 +08:00
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std::vector<cv::Rect> rois;
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rois.push_back(cv::Rect(0, 0, 640, 480));
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2012-10-07 02:22:53 +08:00
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2012-11-06 02:42:08 +08:00
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cascade.detect(colored, rois, objects);
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2012-11-14 03:08:19 +08:00
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ASSERT_EQ(1459, (int)objects.size());
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2012-11-06 05:30:20 +08:00
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}
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TEST(SCascade, detectNoRoi)
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{
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typedef cv::SCascade::Detection Detection;
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std::string xml = cvtest::TS::ptr()->get_data_path() + "cascadeandhog/sc_cvpr_2012_to_opencv.xml";
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cv::SCascade cascade;
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cv::FileStorage fs(xml, cv::FileStorage::READ);
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ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
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cv::Mat colored = cv::imread(cvtest::TS::ptr()->get_data_path() + "cascadeandhog/bahnhof/image_00000000_0.png");
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ASSERT_FALSE(colored.empty());
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std::vector<Detection> objects;
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std::vector<cv::Rect> rois;
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cascade.detect(colored, rois, objects);
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2012-11-14 03:08:19 +08:00
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ASSERT_EQ(0, (int)objects.size());
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2012-08-29 00:01:40 +08:00
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}
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