mirror of
https://github.com/opencv/opencv.git
synced 2024-12-17 02:48:01 +08:00
126 lines
4.4 KiB
C++
126 lines
4.4 KiB
C++
/*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 <string>
|
|
|
|
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(); }
|