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update documentation for softcascade module

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marina.kolpakova
2013-01-29 19:18:22 +04:00
parent 7f80054dfd
commit a01f596474
6 changed files with 173 additions and 44 deletions
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8
apps/sft/fpool.cpp
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@@ -197,7 +197,7 @@ namespace {
using namespace sft;
void glob(const string& refRoot, const string& refExt, svector &refvecFiles)
{
std::string strFilePath; // Filepath
std::string strFilePath; // File path
std::string strExtension; // Extension
std::string strPattern = refRoot + "\\*.*";
@@ -240,14 +240,14 @@ void glob(const string& refRoot, const string& refExt, svector &refvecFiles)
#endif
// in the default case data folders should be alligned as following:
// in the default case data folders should be aligned as following:
// 1. positives: <train or test path>/octave_<octave number>/pos/*.png
// 2. negatives: <train or test path>/octave_<octave number>/neg/*.png
ScaledDataset::ScaledDataset(const string& path, const int oct)
{
dprintf("%s\n", "get dataset file names...");
dprintf("%s\n", "Positives globbing...");
dprintf("%s\n", "Positives globing...");
#if !defined (_WIN32) && ! defined(__MINGW32__)
glob(path + "/pos/octave_" + itoa(oct) + "/*.png", pos);
@@ -255,7 +255,7 @@ ScaledDataset::ScaledDataset(const string& path, const int oct)
glob(path + "/pos/octave_" + itoa(oct), "png", pos);
#endif
dprintf("%s\n", "Negatives globbing...");
dprintf("%s\n", "Negatives globing...");
#if !defined (_WIN32) && ! defined(__MINGW32__)
glob(path + "/neg/octave_" + itoa(oct) + "/*.png", neg);
#else

10
apps/sft/include/sft/config.hpp
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@@ -93,7 +93,7 @@ struct Config
// List of octaves for which have to be trained cascades (a list of powers of two)
ivector octaves;
// Maximum number of positives that should be ised during training
// Maximum number of positives that should be used during training
int positives;
// Initial number of negatives used during training.
@@ -102,10 +102,10 @@ struct Config
// Number of weak negatives to add each bootstrapping step.
int btpNegatives;
// Inverse of scale for feature resazing
// Inverse of scale for feature resizing
int shrinkage;
// Depth on weak classifier's desition tree
// Depth on weak classifier's decision tree
int treeDepth;
// Weak classifiers number in resulted cascade
@@ -120,10 +120,10 @@ struct Config
// path to resulting cascade
string outXmlPath;
// seed for fandom generation
// seed for random generation
int seed;
// // bounding retangle for actual exemple into example window
// // bounding rectangle for actual example into example window
// cv::Rect exampleWindow;
};

4
apps/sft/sft.cpp
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@@ -40,7 +40,7 @@
//
//M*/
// Trating application for Soft Cascades.
// Training application for Soft Cascades.
#include <sft/common.hpp>
#include <iostream>
@@ -114,7 +114,7 @@ int main(int argc, char** argv)
// 3. Train all octaves
for (ivector::const_iterator it = cfg.octaves.begin(); it != cfg.octaves.end(); ++it)
{
// a. create rangom feature pool
// a. create random feature pool
int nfeatures = cfg.poolSize;
cv::Size model = cfg.model(it);
std::cout << "Model " << model << std::endl;