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Parallel classification

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This commit is contained in:
Daniel Girardeau-Montaut
2019-03-29 10:10:42 +01:00
parent 278a9104f8
commit 8e27579a1d
1 changed files with 18 additions and 13 deletions
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q3DMASCClassifier.cpp
+18 -13
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@@ -160,18 +160,6 @@ bool Classifier::classify( const Feature::Source::Set& featureSources,
ccLog::Print(QObject::tr("[3DMASC] Classifying %1 points with %2 feature(s)").arg(sampleCount).arg(attributesPerSample));
//allocate the data matrix
cv::Mat test_data;
try
{
test_data.create(1, attributesPerSample, CV_32FC1);
}
catch (const cv::Exception& cvex)
{
errorMessage = cvex.msg.c_str();
return false;
}
//create the field wrappers
std::vector< IScalarFieldWrapper::Shared > wrappers;
{
@@ -203,8 +191,25 @@ bool Classifier::classify( const Feature::Source::Set& featureSources,
CCLib::NormalizedProgress nProgress(pDlg.data(), cloud->size());
bool success = true;
for (unsigned i = 0; i < cloud->size(); ++i)
#ifndef _DEBUG
#if defined(_OPENMP)
#pragma omp parallel for
#endif
#endif
for (int i = 0; i < static_cast<int>(cloud->size()); ++i)
{
//allocate the data matrix
cv::Mat test_data;
try
{
test_data.create(1, attributesPerSample, CV_32FC1);
}
catch (const cv::Exception& cvex)
{
errorMessage = cvex.msg.c_str();
return false;
}
for (int fIndex = 0; fIndex < attributesPerSample; ++fIndex)
{
double value = wrappers[fIndex]->pointValue(i);