Commit de922e69 authored by Victor Poughon's avatar Victor Poughon

DOC: review long descriptions

parent b870832a
......@@ -110,15 +110,17 @@ void DoInit() override
"This application trains a classifier from multiple input images or a csv "
"file, in order to perform regression. Predictors are composed of pixel "
"values in each band optionally centered and reduced using an XML "
"statistics file produced by the ComputeImagesStatistics application.\n "
"statistics file produced by the ComputeImagesStatistics application.\n\n"
"The output value for each predictor is assumed to be the last band "
"(or the last column for CSV files). Training and validation predictor "
"lists are built such that their size is inferior to maximum bounds given "
"by the user, and the proportion corresponds to the balance parameter. "
"Several classifier parameters can be set depending on the chosen "
"classifier. In the validation process, the mean square error is computed "
"between the ground truth and the estimated model.\n"
" This application is based on LibSVM and on OpenCV Machine Learning "
"between the ground truth and the estimated model.\n\n"
"This application is based on LibSVM and on OpenCV Machine Learning "
"classifiers, and is compatible with OpenCV 2.3.1 and later.");
SetDocLimitations("None");
SetDocAuthors("OTB-Team");
......
......@@ -65,11 +65,11 @@ private:
SetName("VectorDataReprojection");
SetDescription("Reproject a vector data using support image projection reference, or a user specified map projection");
SetDocName("Vector Data reprojection");
std::ostringstream oss;
oss <<" This application allows reprojecting a vector data using support image projection reference"
", or a user given map projection." << std::endl;
oss <<" If given, image keywordlist can be added to reprojected vectordata.";
SetDocLongDescription(oss.str());
SetDocLongDescription(
"Reproject vector data using a support image as projection reference or to a user given map projection. "
" If given an image keywordlist can be added to the reprojected vectordata.");
SetDocLimitations(" ");
SetDocAuthors("OTB-Team");
SetDocSeeAlso(" ");
......
......@@ -140,11 +140,11 @@ private:
SetDocLongDescription("This application compares a machine segmentation (MS) with a partial "
"ground truth segmentation (GT). The Hoover metrics are used to estimate "
"scores for correct detection, over-segmentation, under-segmentation and "
"missed detection."
"\n The application can output the overall Hoover scores along with colored"
"missed detection.\n\n"
"The application can output the overall Hoover scores along with colored"
"images of the MS and GT segmentation showing the state of each region "
"(correct detection, over-segmentation, under-segmentation, missed)"
"\n The Hoover metrics are described in : Hoover et al., \"An experimental"
"(correct detection, over-segmentation, under-segmentation, missed).\n\n"
"The Hoover metrics are described in : Hoover et al., \"An experimental"
" comparison of range image segmentation algorithms\", IEEE PAMI vol. 18, no. 7, July 1996.");
SetDocLimitations("None");
SetDocAuthors("OTB-Team");
......
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