OpenCV  3.2.0-dev
Open Source Computer Vision
Modules | Classes | Functions
Framework for working with different datasets

Modules

 Action Recognition
 
 Face Recognition
 
 Gesture Recognition
 
 Human Pose Estimation
 
 Image Registration
 
 Image Segmentation
 
 Multiview Stereo Matching
 
 Object Recognition
 
 Pedestrian Detection
 
 SLAM
 
 Text Recognition
 
 Tracking
 

Classes

class  cv::datasets::Dataset
 
struct  cv::datasets::Object
 

Functions

void cv::datasets::createDirectory (const std::string &path)
 
void cv::datasets::getDirList (const std::string &dirName, std::vector< std::string > &fileNames)
 
void cv::datasets::split (const std::string &s, std::vector< std::string > &elems, char delim)
 

Detailed Description

The datasets module includes classes for working with different datasets: load data, evaluate different algorithms on them, contains benchmarks, etc.

It is planned to have:

Function Documentation

§ createDirectory()

void cv::datasets::createDirectory ( const std::string &  path)

§ getDirList()

void cv::datasets::getDirList ( const std::string &  dirName,
std::vector< std::string > &  fileNames 
)

§ split()

void cv::datasets::split ( const std::string &  s,
std::vector< std::string > &  elems,
char  delim 
)