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#include "test_precomp.hpp"
#include <string>
#ifdef HAVE_CVCONFIG_H
#include "cvconfig.h"
#endif
#ifdef HAVE_TBB
#include "tbb/task_scheduler_init.h"
#endif
using namespace cv;
const float score_thr = 0.05f;
class LatentSVMDetectorCascadeTest : public cvtest::BaseTest
{
protected:
void run(int);
};
static void writeDetections( FileStorage& fs, const std::string& nodeName, const std::vector<lsvm::LSVMDetector::ObjectDetection>& detections )
{
fs << nodeName << "[";
for( size_t i = 0; i < detections.size(); i++ ) //FIXME operator <<
{
lsvm::LSVMDetector::ObjectDetection const &d = detections[i];
fs << d.rect.x << d.rect.y << d.rect.width << d.rect.height
<< d.score << d.classID;
}
fs << "]";
}
static void readDetections( FileStorage fs, const std::string& nodeName,
std::vector<lsvm::LSVMDetector::ObjectDetection>& detections )
{
detections.clear();
FileNode fn = fs.root()[nodeName];
FileNodeIterator fni = fn.begin();
while( fni != fn.end() )
{
lsvm::LSVMDetector::ObjectDetection d;
fni >> d.rect.x >> d.rect.y >> d.rect.width >> d.rect.height
>> d.score >> d.classID;
detections.push_back( d );
}
}
static inline bool isEqualCaskad( const lsvm::LSVMDetector::ObjectDetection& d1,
const lsvm::LSVMDetector::ObjectDetection& d2, int eps, float threshold)
{
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 std::vector<lsvm::LSVMDetector::ObjectDetection>& calc,
const std::vector<lsvm::LSVMDetector::ObjectDetection>& valid, int eps, float threshold)
{
if( calc.size() != valid.size() )
return false;
for( size_t i = 0; i < calc.size(); i++ )
{
lsvm::LSVMDetector::ObjectDetection const &c = calc[i];
lsvm::LSVMDetector::ObjectDetection const &v = valid[i];
if( !isEqualCaskad(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;
}
void LatentSVMDetectorCascadeTest::run( int /* start_from */)
{
std::string test_data_path = ts->get_data_path() + "latentsvmdetector/";
std::string img_path_cat = test_data_path + "cat.png";
std::string img_path_cars = test_data_path + "cars.png";
std::string model_path_cat = test_data_path + "models_VOC2007_cascade/cat.xml";
std::string model_path_car = test_data_path + "models_VOC2007_cascade/car.xml";
std::string true_res_path = test_data_path + "results_cascade.xml";
#ifdef HAVE_TBB
int numThreads = 2;
#endif
Mat image_cat = imread( img_path_cat );
Mat image_cars = imread( img_path_cars );
if( image_cat.empty() || image_cars.empty() )
{
ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
return;
}
// We will test 2 cases:
// detector1 - to test case of one class 'cat'
// detector12 - to test case of two (several) classes 'cat' and car
// Load detectors
cv::Ptr<lsvm::LSVMDetector> detector1 = lsvm::LSVMDetector::create(std::vector<std::string>(1,model_path_cat));
std::vector<std::string> models_pathes(2);
models_pathes[0] = model_path_cat;
models_pathes[1] = model_path_car;
cv::Ptr<lsvm::LSVMDetector> detector12 = lsvm::LSVMDetector::create(models_pathes);
if( detector1->isEmpty() || detector12->isEmpty() || detector12->getClassCount() != 2 )
{
ts->set_failed_test_info( cvtest::TS::FAIL_INVALID_TEST_DATA );
return;
}
// 1. Test method detect
// Run detectors
std::vector<lsvm::LSVMDetector::ObjectDetection> detections1_cat, detections12_cat, detections12_cars;
detector1->detect( image_cat, detections1_cat, 0.5);
detector12->detect( image_cat, detections12_cat, 0.5);
detector12->detect( image_cars, detections12_cars, 0.5);
// Load true results
FileStorage fs( true_res_path, FileStorage::READ );
if( fs.isOpened() )
{
std::vector<lsvm::LSVMDetector::ObjectDetection> true_detections1_cat, true_detections12_cat, true_detections12_cars;
readDetections( fs, "detections1_cat", true_detections1_cat );
readDetections( fs, "detections12_cat", true_detections12_cat );
readDetections( fs, "detections12_cars", true_detections12_cars );
if( !compareResults(detections1_cat, true_detections1_cat, 1, score_thr) )
{
std::cerr << "Results of detector1 are invalid on image cat.png" << std::endl;
ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH );
}
if( !compareResults(detections12_cat, true_detections12_cat, 1, score_thr) )
{
std::cerr << "Results of detector12 are invalid on image cat.png" << std::endl;
ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH );
}
if( !compareResults(detections12_cars, true_detections12_cars, 1, score_thr) )
{
std::cerr << "Results of detector12 are invalid on image cars.png" << std::endl;
ts->set_failed_test_info( cvtest::TS::FAIL_MISMATCH );
}
}
else
{
fs.open( true_res_path, FileStorage::WRITE );
if( fs.isOpened() )
{
writeDetections( fs, "detections1_cat", detections1_cat );
writeDetections( fs, "detections12_cat", detections12_cat );
writeDetections( fs, "detections12_cars", detections12_cars );
}
else
std::cerr << "File " << true_res_path << " cann't be opened to save test results" << std::endl;
}
ts->set_failed_test_info( cvtest::TS::OK);
}
TEST(Objdetect_LatentSVMDetectorCascade_cpp, regression) { LatentSVMDetectorCascadeTest test; test.safe_run(); }