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soft cascade become Algorithm

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marina.kolpakova
2012-11-05 22:42:08 +04:00
parent ff8417db00
commit 4a1c4a9862
5 changed files with 122 additions and 107 deletions
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modules/objdetect/test/test_softcascade.cpp
+48 -46
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@@ -1,31 +1,31 @@
/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
// 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.
// 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
// 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.
// Copyright (C) 2008-2012, 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.
// * Redistribution's 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.
// * 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.
// * 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
@@ -37,60 +37,62 @@
// 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)
TEST(SCascade, readCascade)
{
std::string xml = cvtest::TS::ptr()->get_data_path() + "cascadeandhog/icf-template.xml";
cv::SoftCascade cascade;
cv::SCascade cascade;
cv::FileStorage fs(xml, cv::FileStorage::READ);
ASSERT_TRUE(cascade.read(fs));
ASSERT_TRUE(fs.isOpened());
ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
}
TEST(SoftCascade, detect)
TEST(SCascade, detect)
{
typedef cv::SoftCascade::Detection detection_t;
typedef cv::SCascade::Detection Detection;
std::string xml = cvtest::TS::ptr()->get_data_path() + "cascadeandhog/sc_cvpr_2012_to_opencv.xml";
cv::SoftCascade cascade;
cv::SCascade cascade;
cv::FileStorage fs(xml, cv::FileStorage::READ);
ASSERT_TRUE(cascade.read(fs));
ASSERT_TRUE(cascade.load(fs.getFirstTopLevelNode()));
cv::Mat colored = cv::imread(cvtest::TS::ptr()->get_data_path() + "cascadeandhog/bahnhof/image_00000000_0.png");
ASSERT_FALSE(colored.empty());
std::vector<detection_t> objects;
std::vector<Detection> objects;
std::vector<cv::Rect> rois;
rois.push_back(cv::Rect(0, 0, 640, 480));
cascade.detectMultiScale(colored, rois, objects);
cascade.detect(colored, rois, objects);
// cv::Mat out = colored.clone();
// int level = 0, total = 0;
// int levelWidth = objects[0].rect.width;
cv::Mat out = colored.clone();
int level = 0, total = 0;
int levelWidth = objects[0].bb.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++;
// }
// std::cout << "detected: " << (int)objects.size() << std::endl;
for(int i = 0 ; i < (int)objects.size(); ++i)
{
if (objects[i].bb.width != levelWidth)
{
std::cout << "Level: " << level << " total " << total << std::endl;
cv::imshow("out", out);
cv::waitKey(0);
out = colored.clone();
levelWidth = objects[i].bb.width;
total = 0;
level++;
}
cv::rectangle(out, objects[i].bb, cv::Scalar(255, 0, 0, 255), 1);
std::cout << "detection: " << objects[i].bb.x
<< " " << objects[i].bb.y
<< " " << objects[i].bb.width
<< " " << objects[i].bb.height << std::endl;
total++;
}
std::cout << "detected: " << (int)objects.size() << std::endl;
ASSERT_EQ((int)objects.size(), 3668);
}