Definition in file train-texton.C.
#include "Neuro/GistEstimatorTexton.H"
#include "Neuro/StdBrain.H"
#include "Neuro/NeuroOpts.H"
#include "Neuro/NeuroSimEvents.H"
#include "Media/SimFrameSeries.H"
#include "Media/MediaOpts.H"
#include "Simulation/SimEventQueue.H"
#include "Simulation/SimEventQueueConfigurator.H"
#include "Channels/ChannelOpts.H"
#include "Component/ModelManager.H"
#include "Component/ModelOptionDef.H"
#include "Image/Point2D.H"
#include "nub/ref.h"
#include <fstream>
#include <sstream>
#include <ios>
#include <numeric>
#include <algorithm>
#include <functional>
#include <map>
#include <vector>
#include <iterator>
#include <stdexcept>
#include <utility>
#include <limits>
#include <cmath>
Include dependency graph for train-texton.C:
Go to the source code of this file.
Defines | |
| #define | CV_32FC1 0 |
| #define | CV_32SC1 0 |
| #define | CV_MAT_ELEM(matrix, type, row, col) (type(0)) |
| #define | CV_TERMCRIT_EPS 0 |
| #define | CV_TERMCRIT_ITER 0 |
| #define | TT_KMEANS_ITERATIONS (100) |
| #define | TT_KMEANS_PRECISION (.01) |
| #define | TT_NUM_UNIVERSAL_TEXTONS 100 |
| #define | TT_DEFAULT_TRAINING_TEXTONS_FILE "training_textons.txt" |
| #define | TT_DEFAULT_UNIVERSAL_TEXTONS_FILE "universal_textons.txt" |
| #define | TT_DEFAULT_TRAINING_HISTOGRAM_NAME "training_image" |
| #define | TT_DEFAULT_TRAINING_HISTOGRAMS_FILE "training_histograms.txt" |
| #define | TT_DEFAULT_CLASSIFICATION_RESULTS_FILE "texton_classifications.txt" |
| #define | TT_ACCUMULATE_CMD "accumulate" |
| #define | TT_KMEANS_CMD "kmeans" |
| #define | TT_HISTOGRAM_CMD "histogram" |
| #define | TT_CLASSIFY_CMD "classify" |
| #define | TT_ACTIONS |
Typedefs | |
| typedef GistEstimatorTexton::ImageType | Texton |
| typedef Image< double > | Histogram |
|
typedef std::map< std::string, Histogram > | HistogramMap |
| typedef HistogramMap::value_type | HistogramMapEntry |
|
typedef std::pair< std::string, double > | HistogramDistance |
Functions | |
| CvMat * | cvCreateMat (int, int, int) |
| void | cvZero (CvMat *) |
| void | cvReleaseMat (CvMat **) |
| double | cvmGet (CvMat *, int, int) |
| void | cvmSet (CvMat *, int, int, double) |
| int | cvTermCriteria (int, int, double) |
| void | cvKMeans2 (CvMat *, int, CvMat *, int) |
| int | CV_MAT_TYPE (int) |
| template<typename T> | |
| std::string | to_string (const T &t) |
| int | count_lines (const std::string &file_name) |
| bool | is_zero (double d) |
| void | accumulate_textons (const Texton &textons) |
| CvMat * | load_training_textons (const std::string &file_name, int num_lines) |
| CvMat * | compute_centroids (int K, const OpenCVMatrix &data, const OpenCVMatrix &cluster_assignments) |
| CvMat * | kmeans (int K, const OpenCVMatrix &data) |
| void | save_universal_textons (const OpenCVMatrix &universal_textons, const std::string &file_name) |
| Texton | load_universal_textons (const std::string &file_name) |
| void | save_histogram (const Histogram &histogram, const std::string &hist_name, const std::string &file_name) |
| HistogramMap | load_training_histograms (const std::string &file_name) |
| bool | chi_square_cmp (const HistogramDistance &L, const HistogramDistance &R) |
| std::ostream & | operator<< (std::ostream &os, const HistogramDistance &D) |
| void | classify_image (const HistogramMapEntry &input, const HistogramMap &training_histograms, const std::string &results_file) |
| int | main () |
Variables | |
| const ModelOptionCateg | MOC_TEXTONS |
| const ModelOptionDef | OPT_TrainingTextons |
| const ModelOptionDef | OPT_UniversalTextons |
| const ModelOptionDef | OPT_HistogramName |
| const ModelOptionDef | OPT_HistogramFile |
| const ModelOptionDef | OPT_ResultsFile |
|
|
Value: ("{"TT_ACCUMULATE_CMD"|"TT_KMEANS_CMD"|"\ TT_HISTOGRAM_CMD"|"TT_CLASSIFY_CMD"}") Definition at line 743 of file train-texton.C. |
|
|
Initial value: {
MOC_SORTPRI_3,
"Options specific to the Renninger-Malik textons program",
}
Definition at line 605 of file train-texton.C. |
|
|
Initial value: {
MODOPT_ARG_STRING, "HistogramFile", & MOC_TEXTONS, OPTEXP_CORE,
"This option specifies the name of the training histograms database,\n"
"a plain text file containing one histogram entry per line. The\n"
"first field specifies the name plus number of the entry (e.g.,\n"
"foo_1, foo_2, bar_1, and so on). The remaining fields are simply the\n"
"hundred numbers making up the image's universal textons histogram.\n",
"histogram-file", '\0', "training-histograms-file",
TT_DEFAULT_TRAINING_HISTOGRAMS_FILE,
}
Definition at line 672 of file train-texton.C. |
|
|
Initial value: {
MODOPT_ARG_STRING, "HistogramName", & MOC_TEXTONS, OPTEXP_CORE,
"This option specifies the \"root\" name of the histogram entry in\n"
"the training histograms database. The histogram number will be\n"
"appended to this \"root\" name. The training histograms database\n"
"is a plain text file containing one histogram entry per line. The\n"
"first field specifies the name plus number of the entry (e.g.,\n"
"foo_1, foo_2, bar_1, and so on). The remaining fields are simply the\n"
"hundred numbers making up the image's universal textons histogram.\n\n"
"In classification mode, this option specifies the name of the input\n"
"image's histogram that is written to the results file.\n",
"histogram-name", '\0', "histogram-name-root",
TT_DEFAULT_TRAINING_HISTOGRAM_NAME,
}
Definition at line 653 of file train-texton.C. |
|
|
Initial value: {
MODOPT_ARG_STRING, "ResultsFile", & MOC_TEXTONS, OPTEXP_CORE,
"This option specifies the name of the classification results file,\n"
"a plain text file containing one result entry per line. The first\n"
"field specifies the name of the input image plus number of the entry,\n"
"(e.g., foo_1, foo_2, bar_1, and so on). Then come the names of the\n"
"top five matching images from the training set.\n",
"results-file", '\0', "classification-results-file",
TT_DEFAULT_CLASSIFICATION_RESULTS_FILE,
}
Definition at line 689 of file train-texton.C. |
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|
Initial value: {
MODOPT_ARG_STRING, "TrainingTextons", & MOC_TEXTONS, OPTEXP_CORE,
"This option specifies the name of the file where training textons\n"
"should be accumulated or read from. This is a plain text file containing\n"
"the training textons matrix that will be fed into the K-means procedure\n"
"during the texton training phase. Each line of this file will contain a\n"
"row of training textons.\n",
"training-textons", '\0', "training-textons-file",
TT_DEFAULT_TRAINING_TEXTONS_FILE,
}
Definition at line 616 of file train-texton.C. |
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|
Initial value: {
MODOPT_ARG_STRING, "UniversalTextons", & MOC_TEXTONS, OPTEXP_CORE,
"This option specifies the name of the file in which the universal\n"
"textons are (or are to be) stored. This is a plain text file containing\n"
"the universal_textons matrix that is used for image classification.\n",
"universal-textons", '\0', "universal-textons-file",
TT_DEFAULT_UNIVERSAL_TEXTONS_FILE,
}
Definition at line 633 of file train-texton.C. |
1.4.4