double ClassifierTester::StartTest(const LandmarkCollectionDataPtr& collection,
const std::string& savedTrainedDataFilePath,
const int numberOfIterations,
bool showSteps)
{
BOOST_ASSERT(savedTrainedDataFilePath.size() != 0);
BOOST_ASSERT(collection->CollectionSize() != 0);
m_collection = collection;
m_savedTrainedDataFilePath = savedTrainedDataFilePath;
m_showSteps = showSteps;
m_numberOfIterations = numberOfIterations;
m_detector = DetectorPtr(new Detector(m_savedTrainedDataFilePath));
int i = 0;
collection->EnumerateConstColectionWithCallback([&] (const ImageLandmarkDataPtr& landmarkData, const int index, bool* stop) {
// std::cout<<index<<std::endl;
const cv::Mat image = landmarkData->ImageSource();
const cv::Mat landmarks = processImage(image, landmarkData->LandmarksMat());
if (landmarks.empty())
{
i++;
// std::cout<<"Fail image "<<landmarkData->ImagePath()<<std::endl;
}
else
{
collectStatistics(landmarks, landmarkData->LandmarksMat());
}
});
std::cout<<"Numeber of fail images: "<<i<<std::endl;
return calculateStatistics();
}
DetectorFixture() :
det(DetectorPtr(new Detector(10, 10, 0.2f, 0.2f)))
{
std::cout << "setup detector fixture" << std::endl;
}
