Public Member Functions | Private Member Functions | Private Attributes
jsk_perception::SlidingWindowObjectDetectorTrainer Class Reference

#include <sliding_window_object_detector_trainer.h>

Inheritance diagram for jsk_perception::SlidingWindowObjectDetectorTrainer:
Inheritance graph
[legend]

List of all members.

Public Member Functions

virtual void computeHSHistogram (cv::Mat &, cv::Mat &, const int=64, const int=32, bool=true)
virtual void extractFeatures (cv::Mat &, cv::Mat &)
virtual void readDataset (std::string, std::string, cv::Mat &, cv::Mat &, bool=false, const int=0)
 SlidingWindowObjectDetectorTrainer ()
virtual void trainBinaryClassSVM (const cv::Mat &, const cv::Mat &)
virtual void trainObjectClassifier (std::string, std::string)

Private Member Functions

virtual void concatenateCVMat (const cv::Mat &, const cv::Mat &, cv::Mat &, bool=true)
void writeTrainingManifestToDirectory (cv::FileStorage &)

Private Attributes

std::string dataset_path_
int hist_hbin_
int hist_sbin_
ros::NodeHandle nh_
std::string nonobject_dataset_filename_
std::string object_dataset_filename_
boost::shared_ptr< rosbag::Bagrosbag_
boost::shared_ptr< cv::SVM > supportVectorMachine_
int swindow_x_
int swindow_y_
std::string trained_classifier_name_

Detailed Description

Definition at line 26 of file sliding_window_object_detector_trainer.h.


Constructor & Destructor Documentation


Member Function Documentation

void jsk_perception::SlidingWindowObjectDetectorTrainer::computeHSHistogram ( cv::Mat &  src,
cv::Mat &  hist,
const int  hBin = 64,
const int  sBin = 32,
bool  is_norm = true 
) [virtual]
void jsk_perception::SlidingWindowObjectDetectorTrainer::concatenateCVMat ( const cv::Mat &  mat_1,
const cv::Mat &  mat_2,
cv::Mat &  featureMD,
bool  iscolwise = true 
) [private, virtual]
void jsk_perception::SlidingWindowObjectDetectorTrainer::extractFeatures ( cv::Mat &  img,
cv::Mat &  featureMD 
) [virtual]

currently programmed using fixed sized image

Definition at line 100 of file sliding_window_object_detector_trainer_node.cpp.

void jsk_perception::SlidingWindowObjectDetectorTrainer::readDataset ( std::string  filename,
std::string  topic_name,
cv::Mat &  featureMD,
cv::Mat &  labelMD,
bool  is_usr_label = false,
const int  usr_label = 0 
) [virtual]
void jsk_perception::SlidingWindowObjectDetectorTrainer::trainBinaryClassSVM ( const cv::Mat &  featureMD,
const cv::Mat &  labelMD 
) [virtual]

Member Data Documentation

Definition at line 37 of file sliding_window_object_detector_trainer.h.

Definition at line 34 of file sliding_window_object_detector_trainer.h.

Definition at line 35 of file sliding_window_object_detector_trainer.h.

Definition at line 30 of file sliding_window_object_detector_trainer.h.

Definition at line 40 of file sliding_window_object_detector_trainer.h.

Definition at line 39 of file sliding_window_object_detector_trainer.h.

Definition at line 43 of file sliding_window_object_detector_trainer.h.

Definition at line 47 of file sliding_window_object_detector_trainer.h.

Definition at line 32 of file sliding_window_object_detector_trainer.h.

Definition at line 33 of file sliding_window_object_detector_trainer.h.

Definition at line 41 of file sliding_window_object_detector_trainer.h.


The documentation for this class was generated from the following files:


jsk_perception
Author(s): Manabu Saito, Ryohei Ueda
autogenerated on Tue Jul 2 2019 19:41:08