Open Source Computer Vision Library https://opencv.org/
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/*M///////////////////////////////////////////////////////////////////////////////////////
//
// IMPORTANT: READ BEFORE DOWNLOADING, COPYING, INSTALLING OR USING.
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// 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.
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//
// 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,
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#include "test_precomp.hpp"
#include <string>
#ifdef HAVE_CONFIG_H
#include "cvconfig.h"
#endif
#ifdef HAVE_TBB
#include "tbb/task_scheduler_init.h"
#endif
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";
int numThreads = -1;
#ifdef HAVE_TBB
numThreads = 2;
tbb::task_scheduler_init init(tbb::task_scheduler_init::deferred);
init.initialize(numThreads);
#endif
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, 0.5f, numThreads);
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;
}
}
}
#ifdef HAVE_TBB
init.terminate();
#endif
cvReleaseMemStorage( &storage );
cvReleaseLatentSvmDetector( &detector );
cvReleaseImage( &image );
}
TEST(Objdetect_LatentSVMDetector, regression) { CV_LatentSVMDetectorTest test; test.safe_run(); }