// Returns true if successful, false otherwise
bool FeatureMatcher::loadRecognitionSet(string country)
{
std::ostringstream out;
out << config->getKeypointsRuntimeDir() << "/" << country << "/";
string country_dir = out.str();
if (DirectoryExists(country_dir.c_str()))
{
vector<Mat> trainImages;
vector<string> plateFiles = getFilesInDir(country_dir.c_str());
for (unsigned int i = 0; i < plateFiles.size(); i++)
{
if (hasEnding(plateFiles[i], ".jpg") == false)
continue;
string fullpath = country_dir + plateFiles[i];
Mat img = imread( fullpath );
// convert to gray and resize to the size of the templates
cvtColor(img, img, CV_BGR2GRAY);
resize(img, img, getSizeMaintainingAspect(img, config->stateIdImageWidthPx, config->stateIdimageHeightPx));
if( img.empty() )
{
cout << "Can not read images" << endl;
return -1;
}
Mat descriptors;
vector<KeyPoint> keypoints;
detector->detect( img, keypoints );
extractor->compute(img, keypoints, descriptors);
if (descriptors.cols > 0)
{
billMapping.push_back(plateFiles[i].substr(0, 2));
trainImages.push_back(descriptors);
trainingImgKeypoints.push_back(keypoints);
}
}
this->descriptorMatcher->add(trainImages);
this->descriptorMatcher->train();
return true;
}
return false;
}
// Attempts to recognize the plate. Returns a confidence level. Updates teh "stateCode" variable
// with the value of the country/state
int StateIdentifier::recognize(Mat img, char* stateCode)
{
timespec startTime;
getTime(&startTime);
cvtColor(img, img, CV_BGR2GRAY);
resize(img, img, getSizeMaintainingAspect(img, config->stateIdImageWidthPx, config->stateIdimageHeightPx));
Mat plateImg(img.size(), img.type());
//plateImg = equalizeBrightness(img);
img.copyTo(plateImg);
Mat debugImg(plateImg.size(), plateImg.type());
plateImg.copyTo(debugImg);
vector<int> matchesArray(featureMatcher->numTrainingElements());
RecognitionResult result = featureMatcher->recognize(plateImg, true, &debugImg, true, matchesArray );
if (this->config->debugStateId)
{
displayImage(config, "State Identifier1", plateImg);
displayImage(config, "State Identifier", debugImg);
cout << result.haswinner << " : " << result.confidence << " : " << result.winner << endl;
}
if (config->debugTiming)
{
timespec endTime;
getTime(&endTime);
cout << "State Identification Time: " << diffclock(startTime, endTime) << "ms." << endl;
}
if (result.haswinner == false)
return 0;
strcpy(stateCode, result.winner.c_str());
return result.confidence;
}
// Attempts to recognize the plate. Returns a confidence level. Updates the region code and confidence
// If region is found, returns true.
bool StateIdentifier::recognize(PipelineData* pipeline_data)
{
timespec startTime;
getTime(&startTime);
Mat plateImg = Mat(pipeline_data->grayImg, pipeline_data->regionOfInterest);
resize(plateImg, plateImg, getSizeMaintainingAspect(plateImg, config->stateIdImageWidthPx, config->stateIdimageHeightPx));
Mat debugImg(plateImg.size(), plateImg.type());
plateImg.copyTo(debugImg);
vector<int> matchesArray(featureMatcher->numTrainingElements());
RecognitionResult result = featureMatcher->recognize(plateImg, true, &debugImg, true, matchesArray );
if (this->config->debugStateId)
{
displayImage(config, "State Identifier1", plateImg);
displayImage(config, "State Identifier", debugImg);
cout << result.haswinner << " : " << result.confidence << " : " << result.winner << endl;
}
if (config->debugTiming)
{
timespec endTime;
getTime(&endTime);
cout << "State Identification Time: " << diffclock(startTime, endTime) << "ms." << endl;
}
if (result.haswinner == false)
return 0;
pipeline_data->region_code = result.winner;
pipeline_data->region_confidence = result.confidence;
if (result.confidence >= 10)
return true;
return false;
}
