void LLFloaterOutbox::updateFolderCountStatus()
{
if (mOutboxInventoryPanel)
{
switch (mOutboxItemCount)
{
case 0:
setStatusString(getString("OutboxFolderCount0"));
break;
case 1:
setStatusString(getString("OutboxFolderCount1"));
break;
default:
{
std::string item_count_str = llformat("%d", mOutboxItemCount);
LLStringUtil::format_map_t args;
args["[NUM]"] = item_count_str;
setStatusString(getString("OutboxFolderCountN", args));
break;
}
}
}
mImportButton->setEnabled(mOutboxItemCount > 0);
}
void LLFloaterOutbox::importStatusChanged(bool inProgress)
{
if (mOutboxId.isNull() && (LLMarketplaceInventoryImporter::getInstance()->getMarketPlaceStatus() == MarketplaceStatusCodes::MARKET_PLACE_MERCHANT))
{
setupOutbox();
}
if (inProgress)
{
if (mImportBusy)
{
setStatusString(getString("OutboxImporting"));
}
else
{
setStatusString(getString("OutboxInitializing"));
}
mImportBusy = true;
mImportButton->setEnabled(false);
mInventoryImportInProgress->setVisible(true);
}
else
{
setStatusString("");
mImportBusy = false;
mImportButton->setEnabled(mOutboxItemCount > 0);
mInventoryImportInProgress->setVisible(false);
}
updateView();
}
bool SOFM2D::calcSize(const dmatrix& data) {
bool b=true;
varianceFunctor<double> varFunc;
dmatrix cov;
varFunc.covarianceMatrixOfRows(data, cov);
jacobi<double> eigenFunc;
jacobi<double>::parameters jp;
jp.sort=true;
eigenFunc.setParameters(jp);
dvector eva;
dmatrix eve;
b = eigenFunc.apply(cov, eva, eve);
if (b) {
eva1=eva.at(0);
eva2=eva.at(1);
eve1=eve.getColumnCopy(0);
eve2=eve.getColumnCopy(1);
} else {
setStatusString("could not find eigenvalues\n");
b = false;
eva1=1;
eva2=1;
}
int area=getParameters().area;
if (area<=0) {
setStatusString("negative or zero area\n");
return false;
}
double c=sqrt(double(area)/(eva1*eva2));
int x1=int(eva1*c);
int x2=int(ceil(eva1*c));
int y1=int(eva2*c);
int y2=int(ceil(eva2*c));
sizeX=x1;
if (abs(area-x1*y1)<abs(area-x1*y2)) {
sizeY=y1;
} else {
sizeY=y2;
}
if (abs(area-x2*y1)<abs(area-sizeX*sizeY)) {
sizeX=x2;
sizeY=y1;
}
if (abs(area-x2*y2)<abs(area-sizeX*sizeY)) {
sizeX=x2;
sizeY=y2;
}
return b;
}
bool brightRGB::getMax(const image& img,dvector& dest) const{
// image empty?
if (img.empty()) {
setStatusString("image empty");
dest.resize(0);
return false;
}
const rgbPixel transColor = getParameters().transColor;
ivector maxV(3,-1);
image::const_iterator it = img.begin();
if(getParameters().transparent) {
while(it != img.end()) {
if(*it != transColor) {
if((*it).getRed() > maxV.at(0))
maxV.at(0) = (*it).getRed();
if((*it).getGreen() > maxV.at(1))
maxV.at(1) = (*it).getGreen();
if((*it).getBlue() > maxV.at(2))
maxV.at(2) = (*it).getBlue();
}
it++;
}
// only transparent pixels?
if (maxV.at(0)==-1) {
setStatusString("only transparent pixels");
dest.resize(0);
return false;
}
} else { // no transparent color
while(it != img.end()) {
if((*it).getRed() > maxV.at(0))
maxV.at(0) = (*it).getRed();
if((*it).getGreen() > maxV.at(1))
maxV.at(1) = (*it).getGreen();
if((*it).getBlue() > maxV.at(2))
maxV.at(2) = (*it).getBlue();
it++;
}
}
if(maxV.at(0) == -1)
return false;
dest.castFrom(maxV);
// normalize to 0..1
dest.divide(255);
return true;
};
/*
* compute the second and up iterations of a probability map
* using the given aPriori probabilites per pixel.
*/
bool probabilityMap2D::computeMap(const channel8& src1, const channel8& src2,
channel& aPrioriDest) const {
point chnl1_size = src1.size();
point chnl2_size = src2.size();
// size of src1 equals src2 ?
if ( (chnl1_size.x != chnl2_size.x) || (chnl1_size.y != chnl2_size.y) ) {
setStatusString("probabilityMap2D: channels do not match");
return false;
} else {
int y;
vector<channel8::value_type>::const_iterator srcIterator1, eit1;
vector<channel8::value_type>::const_iterator srcIterator2, eit2;
vector<channel::value_type>::iterator destIterator;
const parameters& param = getParameters();
const thistogram<double>& objModel = param.getObjectColorModel();
const thistogram<double>& nonObjModel = param.getNonObjectColorModel();
float relObjProb;
float relNonObjProb;
ivector theBin(2);
for (y=0;y<src1.rows();++y) {
srcIterator1 = src1.getRow(y).begin();
eit1 = src1.getRow(y).end();
srcIterator2 = src2.getRow(y).begin();
eit2 = src2.getRow(y).end();
destIterator = aPrioriDest.getRow(y).begin();
while (srcIterator1 != eit1) {
theBin[0] = lookupTable[0][*srcIterator1];
theBin[1] = lookupTable[1][*srcIterator2];
relObjProb = static_cast<float>(objModel.getProbability(theBin) *
(*destIterator));
relNonObjProb = static_cast<float>(nonObjModel.getProbability(theBin)*
(1.0f-(*destIterator)));
// assume non-object if no entries are given
if ((relObjProb == 0.0f) && (relNonObjProb == 0.0f)) {
(*destIterator) = 0.0f;
} else {
// bayes
(*destIterator) = relObjProb / (relObjProb + relNonObjProb);
}
srcIterator1++;
srcIterator2++;
destIterator++;
}
}
}
return true;
}
void TransferApi::starting(const Download* aDownload, const string& aStatus, bool aFullUpdate) noexcept {
auto t = getTransfer(aDownload->getToken());
if (!t) {
return;
}
t->setStatusString(aStatus);
if (aFullUpdate) {
starting(t, aDownload);
} else {
// All flags weren't known when requesting
OrderedStringSet flags;
aDownload->appendFlags(flags);
t->setFlags(flags);
// Size was unknown for filelists when requesting
t->setSize(aDownload->getSegmentSize());
view.onItemUpdated(t, {
TransferUtils::PROP_STATUS, TransferUtils::PROP_FLAGS,
TransferUtils::PROP_SIZE
});
}
}
//---------------------------------------------------------------------------
// receives only one character
bool Serial::receive( char & c )
{
if ( !isPortOpened_ )
{
if ( !openPort() )
{
// some error occured by opening port
return false;
}
}
int numberOfBytes;
numberOfBytes =::read( descriptor_, & c, 1 );
if ( numberOfBytes == 1 )
{
return true;
}
else
{
setStatusString( "error: could not receive the character" );
return false;
}
}
/**
* Saves the given matrix to the given stream. The header is modified
* with appropriate data derived from the matrix structure.
*/
bool saveMatrix(const std::string& filename,
const matrix<T>& theChannel,
header& theHeader,
const eCompressionType compr,
dataCodec* codec) {
//open stream
std::ofstream out;
out.open(filename.c_str(),std::ios::out|std::ios::binary);
//stream ok?
if (!(out.good() && out.is_open())) {
std::string str = "Could not open file " + filename + " for writing.";
setStatusString(str.c_str());
out.close();
return false;
}
theHeader.encoding.contents=getTypeCode(T());
theHeader.encoding.compression=compr;
int tmpsize=sizeof(T)*theChannel.rows()*theChannel.columns();
int encsize = codec->estimateEncodedSize(tmpsize);
// create the temporary buffer
dataCodec::buffer tmp(encsize);
// encode the data
codec->encode((const ubyte*)&theChannel.at(0,0),tmpsize,&tmp.at(0),encsize);
theHeader.size = encsize;
theHeader.rows = theChannel.rows();
theHeader.columns = theChannel.columns();
// write the header
if (!theHeader.write(out)) {
setStatusString("Could not write header.");
out.close();
return false;
}
// write the data
out.write((const char*)(&tmp.at(0)),theHeader.size);
out.close();
return true;
}
/*
* read the functor parameters
*/
bool functor::write(ioHandler& handler, const bool complete) const {
if (params != 0) {
return params->write(handler,complete);
} else {
setStatusString("Tried to write <null> parameters object");
return false;
}
}
/*
* read the functor parameters
*/
bool functor::read(ioHandler& handler, const bool complete) {
if (params != 0) {
return params->read(handler,complete);
} else {
setStatusString("Tried to read <null> parameters object");
return false;
}
}
// merge float channels
bool mergeOCPToImage::apply(const matrix<float>& c1,
const matrix<float>& c2,
const matrix<float>& c3,
image& img) const {
point p; // coordinates
float r,g,b; // unnormed RGB channels
float RG, BY, WB; // opponent colour channels
if ((c1.size() != c2.size()) || (c1.size() != c3.size())) {
setStatusString("sizes of channels do not match");
return false;
}
img.resize(c1.size(),rgbPixel(),false,false);
for (p.y=0;p.y<img.rows();p.y++) {
for (p.x=0;p.x<img.columns();p.x++) {
RG = c1.at(p);
BY = c2.at(p);
WB = c3.at(p);
b = BY*0.666666666667f;
//
r = WB + RG - b;
g = WB - RG - b;
b = WB + BY*1.3333333333333f;
// truncate r,g and b if the value is not in intervall [0..1]
// can happen due to rounding errors in split operation
if (r<0.0f) {
r=0.0f;
} else if (r>1.0f) {
r=1.0f;
}
if (g<0.0f) {
g=0.0f;
} else if (g>1.0f) {
g=1.0f;
}
if (b<0.0f) {
b=0.0f;
} else if (b>1.0f) {
b=1.0f;
}
img.at(p).set(static_cast<ubyte>(255.0f*r),
static_cast<ubyte>(255.0f*g),
static_cast<ubyte>(255.0f*b),
0);
}
}
return true;
};
//---------------------------------------------------------------------------
// close the port
void Serial::closePort()
{
if ( close( descriptor_ ) == -1 )
{
setStatusString( "error: the port could not be closed" );
}
descriptor_ = -1;
isPortOpened_ = false;
}
/*
* sets the classifier's parameters.
* The functor keeps its own copy of the given parameters.
*/
bool fuzzyCMeans::setParameters(const classifier::parameters& theParams) {
bool ok=classifier::setParameters(theParams);
if (getParameters().norm!=parameters::L1
|| getParameters().norm!=parameters::L2) {
ok=false;
setStatusString("no valid norm selected; selected L2-norm instead");
}
return ok;
}
bool loadLTI::load(const std::string& filename,
matrix<ubyte>& data) {
ioLTIworker<matrix<ubyte>::value_type> worker;
if (worker.loadMatrix(filename, data, theHeader)) {
return true;
} else {
setStatusString(worker.getStatusString());
return false;
}
}
bool SOFM2D::initGrid(const dmatrix& data) {
bool b=true;
int i,j;
const parameters& param=getParameters();
if (param.initType == parameters::Linear) {
//eigenvalues already calculated?
if (eva1==0.) {
varianceFunctor<double> varFunc;
dmatrix cov;
varFunc.covarianceMatrixOfRows(data, cov);
jacobi<double> eigenFunc;
jacobi<double>::parameters jp;
jp.sort=true;
eigenFunc.setParameters(jp);
dvector eva;
dmatrix eve;
b = eigenFunc.apply(cov, eva, eve);
if (b) {
eva1=eva.at(0);
eva2=eva.at(1);
eve1=eve.getColumnCopy(0);
eve2=eve.getColumnCopy(1);
} else {
setStatusString("could not find eigenvalues using random points\n");
selectRandomPoints(data, sizeX*sizeY, grid);
return false;
}
}
meansFunctor<double> meanFunc;
dvector mean;
meanFunc.meanOfRows(data, mean);
double x,y;
dvector deltaX(eve1);
deltaX.multiply(eva1/sizeX);
dvector deltaY(eve2);
deltaY.multiply(eva2/sizeY);
dvector delta;
for (i=0, y=-(double(sizeY-1)); i<sizeY; i++, y++) {
for (j=0, x=-(double(sizeX-1)); j<sizeX; j++, x++) {
delta.addScaled(x,deltaX,y,deltaY);
grid.getRow(i*sizeX+j).add(mean,delta);
}
}
} else {
selectRandomPoints(data, sizeX*sizeY, grid);
}
return b;
}
bool brightRGB::getAverage(const image& img,dvector& dest) const{
const rgbPixel transColor = getParameters().transColor;
dvector avg(3,0.0);
image::const_iterator it = img.begin();
// check for empty image
if (img.columns()==0 || img.rows()==0) {
setStatusString("image empty");
dest.resize(0);
return false;
}
if(getParameters().transparent) {
int counter = 0;
while(it != img.end()) {
if(*it != transColor) {
avg.at(0) += (*it).getRed();
avg.at(1) += (*it).getGreen();
avg.at(2) += (*it).getBlue();
++counter;
}
it++;
}
// check for completely transparent image
if (counter==0) {
setStatusString("only transparent pixels");
dest.resize(0);
return false;
}
avg.divide(counter);
} else { // no transparent color
while(it != img.end()) {
avg.at(0) += (*it).getRed();
avg.at(1) += (*it).getGreen();
avg.at(2) += (*it).getBlue();
it++;
}
avg.divide(img.columns()*img.rows());
}
// values between 0 and 1
dest.divide(avg, 255.);
return true;
};
TransferInfoPtr TransferApi::addTransfer(const ConnectionQueueItem* aCqi, const string& aStatus) noexcept {
auto t = std::make_shared<TransferInfo>(aCqi->getUser(), aCqi->getConnType() == ConnectionType::CONNECTION_TYPE_DOWNLOAD, aCqi->getToken());
{
WLock l(cs);
transfers[aCqi->getToken()] = t;
}
t->setStatusString(aStatus);
return t;
}
// On copy apply for type channel!
bool huMoments::apply(const channel& src, const rectangle& rect, dvector& dest) const {
try {
channel tmp(false,*const_cast<channel*>(&src),rect.ul.y,rect.br.y,rect.ul.x,rect.br.x);
return apply(tmp,dest);
}
catch (exception e) {
setStatusString("Failed to create submatrix of input channel8!");
return false;
}
}
bool saveLTI::save(const std::string& filename,
const matrix<ubyte>& data) {
ioLTIworker<matrix<ubyte>::value_type> worker;
if (worker.saveMatrix(filename, data, theHeader,
getParameters().compression,codec)) {
return true;
} else {
setStatusString(worker.getStatusString());
return false;
}
}
void TransferApi::onTick(const Transfer* aTransfer, bool aIsDownload) noexcept {
auto t = getTransfer(aTransfer->getToken());
if (!t) {
return;
}
t->setSpeed(aTransfer->getAverageSpeed());
t->setBytesTransferred(aTransfer->getPos());
t->setTimeLeft(aTransfer->getSecondsLeft());
uint64_t timeSinceStarted = GET_TICK() - t->getStarted();
if (timeSinceStarted < 1000) {
t->setStatusString("Starting...");
} else {
t->setStatusString(STRING_F(RUNNING_PCT, t->getPercentage()));
}
view.onItemUpdated(t, {
TransferUtils::PROP_STATUS, TransferUtils::PROP_BYTES_TRANSFERRED,
TransferUtils::PROP_SPEED, TransferUtils::PROP_SECONDS_LEFT
});
}
// checkfile
bool loadLTI::checkHeader(const std::string& filename,
point& imageSize,
char& imageType,
eCompressionType& compr) {
std::ifstream in;
in.open(filename.c_str(),std::ios::in|std::ios::binary);
if (in.good() && in.is_open()) {
if (!theHeader.read(in)) {
setStatusString("Wrong header. Is this an LTI file?");
return false;
}
imageSize.set(theHeader.columns,theHeader.rows);
imageType = static_cast<char>(theHeader.encoding.contents);
compr = eCompressionType(theHeader.encoding.compression);
return true;
}
std::string str = "Could not open file " + filename;
setStatusString(str.c_str());
return false;
}
bool cwagmSegmentationEvaluation::segment(const image& img,
const imatrix& prevMask,
imatrix& mask,
channel& certainty) {
ivector sizes;
if (!segmenter.apply(img,mask,sizes)) {
_lti_debug("Error in segmenter: " << segmenter.getStatusString() <<
std::endl);
setStatusString(segmenter.getStatusString());
return false;
}
certainty.clear(); // no certainty computation in this kind of functors.
return true;
}
/*
* compute cornerness
*/
bool harrisCorners::getCornerness(const channel& fxx,
const channel& fxy,
const channel& fyy,
const float scale,
channel& cornerness,
float& maxCornerness) const {
// we can assume that all channels are connected, but try it out if not
if ((fxx.getMode() != channel::Connected) ||
(fxy.getMode() != channel::Connected) ||
(fyy.getMode() != channel::Connected)) {
setStatusString("Channels not contigous in getCornerness");
return false;
}
if (fxx.empty() || fxy.empty() || fyy.empty()) {
cornerness.clear();
maxCornerness = 0.0f;
return false;
}
int i;
const int end = fxx.rows()*fxx.columns();
const float *const pfxx = &fxx.at(0);
const float *const pfxy = &fxy.at(0);
const float *const pfyy = &fyy.at(0);
cornerness.resize(fxx.size(),0,false,false);
float* pcor = &cornerness.at(0);
float det,trace,txx,txy,tyy,c;
float maxc = 0.0f;
for (i=0;i<end;++i) {
txx=pfxx[i];
txy=pfxy[i];
tyy=pfyy[i];
det=txx*tyy - txy*txy;
trace=txx+tyy;
c = det-scale*trace*trace;
pcor[i]=c;
if (c>maxc) {
maxc=c;
}
}
maxCornerness = maxc;
return true;
}
// On copy apply for type channel!
bool huMoments::apply(const channel& src, const rectangle& rect, dvector& dest, dvector& more) const {
try {
channel tmp(false,*const_cast<channel*>(&src),rect.ul.y,rect.br.y,rect.ul.x,rect.br.x);
if (!apply(tmp,dest,more)) {
return false;
}
more[xcog]+=rect.ul.x;
more[ycog]+=rect.ul.y;
}
catch (exception e) {
setStatusString("Failed to create submatrix of input channel8!");
return false;
}
return true;
}
void TransferApi::onTransferCompleted(const Transfer* aTransfer, bool aIsDownload) noexcept {
auto t = getTransfer(aTransfer->getToken());
if (!t) {
return;
}
t->setStatusString("Finished, idle...");
t->setSpeed(-1);
t->setTimeLeft(-1);
t->setBytesTransferred(aTransfer->getSegmentSize());
t->setState(TransferInfo::STATE_FINISHED);
view.onItemUpdated(t, {
TransferUtils::PROP_STATUS, TransferUtils::PROP_SPEED,
TransferUtils::PROP_SECONDS_LEFT, TransferUtils::PROP_TIME_STARTED,
TransferUtils::PROP_BYTES_TRANSFERRED
});
}
bool centroidClustering::classify(const dvector& feature,
classifier::outputVector& result) const {
dvector dists;
l2Distance<double> distFunc;
distFunc.apply(centroids, feature, dists);
double s=dists.sumOfElements();
dists.divide(s);
dists.apply(probabilize);
s=dists.sumOfElements();
dists.divide(s);
bool rc=outTemplate.apply(dists, result);
if (!rc) {
setStatusString("The outputTemplate used returned an error.\nMost likely your setting of parameters::multipleMode does not match the information available in the outputTemplate.");
}
return rc;
}
// On copy apply for type matrix<int>!
bool labelAdjacencyMap::adjacency(const matrix<int>& src,
sparseMatrix<int>& dest) const {
adjacencyHelper<int> helper;
bool result(false);
const parameters& par = getParameters();
if (par.neighborhood == 4) {
result = helper.adjacency4(src,dest);
} else {
result = helper.adjacency8(src,dest);
}
if (!result) {
setStatusString("Invalid labeled mask: negative labels");
return false;
}
return true;
};
bool kNearestNeighFilter::apply(const imatrix& src,imatrix& dest) {
if (src.empty()) {
dest.clear();
return true;
}
const parameters& param = getParameters();
if (param.kernelSize <= 1) {
dest.copy(src);
return true;
}
sizeOfKernel = param.kernelSize + ((param.kernelSize%2 == 0) ? 1 : 0);
histoSize = src.maximum()+1;
bool control = false; // return variable
// choose border behaviour
switch(param.boundaryType) {
case lti::Zero:
control = histogramMethodZero(src,dest);
break;
case lti::Mirror:
control = histogramMethodMirror(src,dest);
break;
case lti::Constant:
control = histogramMethodConstant(src,dest);
break;
case lti::Periodic:
control = histogramMethodPeriodic(src,dest);
break;
case lti::NoBoundary:
control = histogramMethodNoBoundary(src,dest);
break;
default:
setStatusString("Unknown boundary type");
break;
}
return control;
};
//---------------------------------------------------------------------------
// sends only one character
bool Serial::send( const char c )
{
if ( !isPortOpened_ )
{
if ( !openPort() )
{
// some error occured by opening port
return false;
}
}
int numberOfBytes;
numberOfBytes =::write( descriptor_, & c, 1 );
if ( numberOfBytes == 1 )
{
return true;
}
else
{
setStatusString( "error: could not send a character" );
return false;
}
}
/*
* shows an lti::mathObject
* @param data the object to be shown.
*/
bool fastViewer::show(const image& img) {
// Draw screen onto display
if (img.rows()>0 && img.columns()>0) {
if (data.size() == img.size()) {
data.fill(img);
} else {
destroyImage();
createImage(img);
}
} else {
setStatusString("empty image");
return false;
}
if (useShareMemory) {
XShmPutImage(display_info.display,
display_info.win,
display_info.gc,
display_info.shmimage,
0, 0, 0, 0,
display_info.width,
display_info.height, false);
} else {
XPutImage(display_info.display,
display_info.win,
display_info.gc,
display_info.shmimage,
0, 0, 0, 0,
display_info.width,
display_info.height);
}
XSync(display_info.display,0);
return true;
}