void KateNewCompletionModel::completionInvoked(KTextEditor::View* view, const KTextEditor::Range& range, InvocationType it)
{
/**
* auto invoke...
*/
m_automatic=false;
if (it==AutomaticInvocation) {
m_automatic=true;
KateView *v = qobject_cast<KateView*> (view);
if (range.columnWidth() >= 3)
saveMatches( view, range );
else
m_matches.clear();
// done here...
return;
}
// normal case ;)
saveMatches( view, range );
}
void BundlerMatcher::open(const std::string& inputPath, const std::string& inputFilename, const std::string& outMatchFilename)
{
mInputPath = inputPath;
if (!mIsInitialized)
{
std::cout << "Error : can not initialize opengl context for SiftGPU" <<std::endl;
return;
}
if (!parseListFile(inputFilename))
{
std::cout << "Error : can not open file : " <<inputFilename.c_str() <<std::endl;
return;
}
//Sift Feature Extraction
for (unsigned int i=0; i<mFilenames.size(); ++i)
{
int percent = (int)(((i+1)*100.0f) / (1.0f*mFilenames.size()));
int nbFeature = extractSiftFeature(i);
clearScreen();
std::cout << "[Extracting Sift Feature : " << percent << "%] - ("<<i+1<<"/"<<mFilenames.size()<<", #"<< nbFeature <<" features)";
}
clearScreen();
std::cout << "[Sift Feature extracted]"<<std::endl;
for (unsigned int i=0; i<mFilenames.size(); ++i)
{
int percent = (int)(((i+1)*100.0f) / (1.0f*mFilenames.size()));
saveAsciiKeyFile(i);
if (mBinaryKeyFileWritingEnabled)
saveBinaryKeyFile(i);
clearScreen();
std::cout << "[Saving Sift Key files: " << percent << "%] - ("<<i+1<<"/"<<mFilenames.size()<<")";
}
saveVector();
clearScreen();
std::cout << "[Sift Key files saved]"<<std::endl;
delete mSift;
mSift = NULL;
mMatcher->VerifyContextGL();
//Sift Matching
int currentIteration = 0;
if (mSequenceMatchingEnabled) //sequence matching (video input)
{
std::cout << "[Sequence matching enabled: length " << mSequenceMatchingLength << "]" << std::endl;
int maxIterations = (int) (mFilenames.size()-mSequenceMatchingLength)*mSequenceMatchingLength + mSequenceMatchingLength*(mSequenceMatchingLength-1)/2; // (N-m).m + m(m-1)/2
for (unsigned int i=0; i<mFilenames.size()-1; ++i)
{
for (int j=1; j<=mSequenceMatchingLength; ++j)
{
int indexA = i;
int indexB = i+j;
if (indexB >= mFilenames.size())
continue;
else
{
clearScreen();
int percent = (int) (currentIteration*100.0f / maxIterations*1.0f);
std::cout << "[Matching Sift Feature : " << percent << "%] - (" << indexA << "/" << indexB << ")";
matchSiftFeature(indexA, indexB);
currentIteration++;
}
}
}
}
else //classic quadratic matching
{
int maxIterations = (int) mFilenames.size()*((int) mFilenames.size()-1)/2; // Sum(1 -> n) = n(n-1)/2
for (unsigned int i=0; i<mFilenames.size(); ++i)
{
for (unsigned int j=i+1; j<mFilenames.size(); ++j)
{
clearScreen();
int percent = (int) (currentIteration*100.0f / maxIterations*1.0f);
std::cout << "[Matching Sift Feature : " << percent << "%] - (" << i << "/" << j << ")";
matchSiftFeature(i, j);
currentIteration++;
}
}
}
clearScreen();
std::cout << "[Sift Feature matched]"<<std::endl;
delete mMatcher;
mMatcher = NULL;
saveMatches(outMatchFilename);
saveMatrix();
}
