void drwnSegImagePixelFeatures::cacheInstanceData(const drwnSegImageInstance& instance)
{
DRWN_LOG_DEBUG("caching data for " << instance.name());
_instanceName = instance.name();
_instanceWidth = instance.width();
_instanceHeight = instance.height();
}
void drwnSegImageStdRegionFeatures::cacheInstanceData(const drwnSegImageInstance& instance)
{
// cache data needed by parent class
drwnSegImageRegionFeatures::cacheInstanceData(instance);
DRWN_FCN_TIC;
// clear existing filterbank responses
_filters.clear();
// filterbank response images
drwnTextonFilterBank filterBank(FILTER_BANDWIDTH);
vector<cv::Mat> responses;
filterBank.filter(instance.image(), responses);
_filters.addResponseImages(responses);
DRWN_LOG_DEBUG("...allocated " << (_filters.memory() / (1024 * 1024))
<< "MB for filter responses");
DRWN_FCN_TOC;
}
void drwnSegImageStdPixelFeatures::cacheInstanceData(const drwnSegImageInstance& instance)
{
// cache data needed by parent class
drwnSegImagePixelFeatures::cacheInstanceData(instance);
DRWN_FCN_TIC;
// clear existing filterbank responses and cached features
_filters.clear();
_auxFeatures.clear();
// filterbank response images
drwnTextonFilterBank filterBank(FILTER_BANDWIDTH);
vector<cv::Mat> responses;
filterBank.filter(instance.image(), responses);
_filters.addResponseImages(responses);
// add RGB features
if (INCLUDE_RGB) {
cv::Mat rgb(instance.height(), instance.width(), CV_32FC3);
instance.image().convertTo(rgb, CV_32FC3, 1.0 / 255.0);
vector<cv::Mat> channels(3);
cv::split(rgb, &channels[0]);
_filters.addResponseImages(channels);
}
// add HOG features
if (INCLUDE_HOG) {
responses.clear();
drwnHOGFeatures hogFeatureBank;
hogFeatureBank.computeDenseFeatures(instance.image(), responses);
_filters.addResponseImages(responses);
}
// add LBP features
if (INCLUDE_LBP) {
responses.clear();
drwnLBPFilterBank lbpFilterBank(false);
lbpFilterBank.filter(instance.image(), responses);
_filters.addResponseImages(responses);
}
// load auxiliary features
if (!AUX_FEATURE_EXT.empty()) {
_auxFeatures.resize(instance.size(), vector<double>(AUX_FEATURE_EXT.size()));
for (unsigned i = 0; i < AUX_FEATURE_EXT.size(); i++) {
string filename = AUX_FEATURE_DIR + string("/") + _instanceName + AUX_FEATURE_EXT[i];
DRWN_LOG_DEBUG("...loading features from " << filename);
string ext(drwn::strExtension(AUX_FEATURE_EXT[i]));
std::transform(ext.begin(), ext.end(), ext.begin(), ::tolower);
if (ext.compare("txt") == 0) {
// text file
ifstream ifs(filename.c_str());
for (unsigned j = 0; j < _auxFeatures.size(); j++) {
ifs >> _auxFeatures[j][i];
DRWN_ASSERT_MSG(!ifs.fail(), "expecting " << _auxFeatures.size() <<
" features from file text " << filename << " but only read " << j);
}
ifs.close();
} else if (ext.compare("bin") == 0) {
void drwnSegImageRegionFeatures::cacheInstanceData(const drwnSegImageInstance& instance)
{
DRWN_LOG_DEBUG("caching data for " << instance.name());
_instanceName = instance.name();
_instanceRegions = instance.superpixels.size();
}
