提交 2a391282 编写于 作者: A Andrey Kamaev

Updated latentSVM tests and data

上级 f14d80ab
......@@ -61,23 +61,17 @@ const CvRect true_bounding_boxes[3] = {cvRect(0, 45, 362, 452), cvRect(304, 0, 6
class CV_LatentSVMDetectorTest : public cvtest::BaseTest
{
public:
CV_LatentSVMDetectorTest();
~CV_LatentSVMDetectorTest();
protected:
void run(int);
bool isEqual(CvRect r1, CvRect r2);
bool isEqual(CvRect r1, CvRect r2, int eps);
};
CV_LatentSVMDetectorTest::CV_LatentSVMDetectorTest()
bool CV_LatentSVMDetectorTest::isEqual(CvRect r1, CvRect r2, int eps)
{
}
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));
return (std::abs(r1.x - r2.x) <= eps
&& std::abs(r1.y - r2.y) <= eps
&& std::abs(r1.width - r2.width) <= eps
&& std::abs(r1.height - r2.height) <= eps);
}
void CV_LatentSVMDetectorTest::run( int /* start_from */)
......@@ -85,53 +79,55 @@ 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/models_VOC2007/cat.xml";
int numThreads = -1;
#ifdef HAVE_TBB
numThreads = 2;
tbb::task_scheduler_init init(tbb::task_scheduler_init::deferred);
init.initialize(numThreads);
init.initialize(numThreads);
#endif
IplImage* image = cvLoadImage(img_path.c_str());
if (!image)
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;
}
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);
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;
}
}
}
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], 1)) || (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 );
cvReleaseMemStorage( &storage );
cvReleaseLatentSvmDetector( &detector );
cvReleaseImage( &image );
}
......@@ -139,16 +135,10 @@ void CV_LatentSVMDetectorTest::run( int /* start_from */)
class LatentSVMDetectorTest : public cvtest::BaseTest
{
public:
LatentSVMDetectorTest();
protected:
void run(int);
};
LatentSVMDetectorTest::LatentSVMDetectorTest()
{
}
static void writeDetections( FileStorage& fs, const string& nodeName, const vector<LatentSvmDetector::ObjectDetection>& detections )
{
fs << nodeName << "[";
......@@ -176,14 +166,24 @@ static void readDetections( FileStorage fs, const string& nodeName, vector<Laten
}
}
static inline bool isEqual( const LatentSvmDetector::ObjectDetection& d1, const LatentSvmDetector::ObjectDetection& d2)
static inline bool isEqual( const LatentSvmDetector::ObjectDetection& d1, const LatentSvmDetector::ObjectDetection& d2, int eps, float threshold)
{
return ((d1.rect.x == d2.rect.x) && (d1.rect.y == d2.rect.y) && (d1.rect.width == d2.rect.width) && (d1.rect.height == d2.rect.height) &&
(d1.classID == d2.classID) &&
std::abs(d1.score-d2.score) < score_thr );
return (
std::abs(d1.rect.x - d2.rect.x) <= eps
&& std::abs(d1.rect.y - d2.rect.y) <= eps
&& std::abs(d1.rect.width - d2.rect.width) <= eps
&& std::abs(d1.rect.height - d2.rect.height) <= eps
&& (d1.classID == d2.classID)
&& std::abs(d1.score - d2.score) <= threshold
);
}
bool compareResults( const vector<LatentSvmDetector::ObjectDetection>& calc, const vector<LatentSvmDetector::ObjectDetection>& valid )
std::ostream& operator << (std::ostream& os, const CvRect& r)
{
return (os << "[x=" << r.x << ", y=" << r.y << ", w=" << r.width << ", h=" << r.height << "]");
}
bool compareResults( const vector<LatentSvmDetector::ObjectDetection>& calc, const vector<LatentSvmDetector::ObjectDetection>& valid, int eps, float threshold)
{
if( calc.size() != valid.size() )
return false;
......@@ -192,8 +192,12 @@ bool compareResults( const vector<LatentSvmDetector::ObjectDetection>& calc, con
{
const LatentSvmDetector::ObjectDetection& c = calc[i];
const LatentSvmDetector::ObjectDetection& v = valid[i];
if( !isEqual(c,v) )
if( !isEqual(c, v, eps, threshold) )
{
std::cerr << "Expected: " << v.rect << " class=" << v.classID << " score=" << v.score << std::endl;
std::cerr << "Actual: " << c.rect << " class=" << c.classID << " score=" << c.score << std::endl;
return false;
}
}
return true;
}
......@@ -209,9 +213,11 @@ void LatentSVMDetectorTest::run( int /* start_from */)
string true_res_path = string(ts->get_data_path()) + "latentsvmdetector/results.xml";
int numThreads = 1;
#ifdef HAVE_TBB
numThreads = 2;
#endif
Mat image_cat = imread( img_path_cat );
Mat image_cars = imread( img_path_cars );
if( image_cat.empty() || image_cars.empty() )
......@@ -255,17 +261,17 @@ void LatentSVMDetectorTest::run( int /* start_from */)
readDetections( fs, "detections12_cars", true_detections12_cars );
if( !compareResults(detections1_cat, true_detections1_cat) )
if( !compareResults(detections1_cat, true_detections1_cat, 1, score_thr) )
{
std::cerr << "Results of detector1 are invalid on image cat.jpg" << std::endl;
ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH );
}
if( !compareResults(detections12_cat, true_detections12_cat) )
if( !compareResults(detections12_cat, true_detections12_cat, 1, score_thr) )
{
std::cerr << "Results of detector12 are invalid on image cat.jpg" << std::endl;
ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH );
}
if( !compareResults(detections12_cars, true_detections12_cars) )
if( !compareResults(detections12_cars, true_detections12_cars, 1, score_thr) )
{
std::cerr << "Results of detector12 are invalid on image cars.jpg" << std::endl;
ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH );
......
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