185 lines
7.3 KiB
C++
185 lines
7.3 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) 2008-2012, 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 <string>
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#include <fstream>
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static std::string itoa(int i)
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{
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static char s[65];
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sprintf(s, "%03d", i);
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return std::string(s);
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}
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#include "test_precomp.hpp"
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#include <opencv2/highgui/highgui.hpp>
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TEST(SCascade, detect1)
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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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cascade.set("rejCriteria", cv::SCascade::DOLLAR);
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// cascade.set("minScale", 0.5);
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// cascade.set("scales", 2);
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cv::FileStorage fs("/home/kellan/soft-cascade-17.12.2012/first-soft-cascade-composide-octave_1.xml", cv::FileStorage::READ);
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ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
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for (int sample = 0; sample < 1000; ++sample)
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{
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// std::cout << itoa(sample) << std::endl;
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std::cout << std::string("/home/kellan/bahnhof-l/image_00000" + itoa(sample) + "_0.png") << std::endl;
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cv::Mat colored = cv::imread(std::string("/home/kellan/bahnhof-l/image_00000" + itoa(sample) + "_0.png"));
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ASSERT_FALSE(colored.empty());
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std::vector<Detection> objects;
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cascade.detect(colored, cv::noArray(), objects);
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for (int i = 0; i < (int)objects.size(); ++i)
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cv::rectangle(colored, objects[i].bb, cv::Scalar(51, 160, 255, 255), 1);
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// cv::Mat res;
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// cv::resize(colored, res, cv::Size(), 4,4);
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cv::imshow("detections", colored);
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cv::waitKey(20);
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// cv::imwrite(std::string("/home/kellan/res/image_00000" + itoa(sample) + ".png"), colored);
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}
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// ASSERT_EQ(1459, (int)objects.size());
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}
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TEST(SCascade, readCascade)
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{
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std::string xml = cvtest::TS::ptr()->get_data_path() + "cascadeandhog/test-simple-cascade.xml";
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cv::SCascade cascade;
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cv::FileStorage fs("/home/kellan/soft-cascade-17.12.2012/first-soft-cascade-composide-octave_1.xml", cv::FileStorage::READ);
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ASSERT_TRUE(fs.isOpened());
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ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
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}
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// TEST(SCascade, detect)
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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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// // cascade.set("maxScale", 0.5);
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// // cascade.set("minScale", 0.5);
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// // cascade.set("scales", 2);
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// cv::FileStorage fs("/home/kellan/soft-cascade-17.12.2012/first-soft-cascade-composide-octave_1.xml", cv::FileStorage::READ);
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// ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
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// // 454
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// cv::Mat colored = cv::imread(cvtest::TS::ptr()->get_data_path() + "cascadeandhog/bahnhof/image_00000000_0.png");//"/home/kellan/datasets/INRIA/training_set/pos/octave_-1/sample_1.png");//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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// cascade.detect(colored, cv::noArray(), objects);
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// for (int i = 0; i < objects.size(); ++i)
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// cv::rectangle(colored, objects[i].bb, cv::Scalar::all(255), 1);
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// cv::Mat res;
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// cv::resize(colored, res, cv::Size(), 4,4);
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// cv::imshow("detections", colored);
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// cv::waitKey(0);
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// // ASSERT_EQ(1459, (int)objects.size());
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// }
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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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// ASSERT_EQ(1459, confs.cols);
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// }
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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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// std::vector<Detection> objects;
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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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// cascade.detect(colored, rois, objects);
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// ASSERT_EQ(1459, (int)objects.size());
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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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// ASSERT_EQ(0, (int)objects.size());
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// }
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