处理不同数据集的框架


模块

  Action Recognition
 
  Face Recognition
 
  Gesture Recognition
 
  Human Pose Estimation
 
  图像配准
 
  Image Segmentation
 
  Multiview Stereo Matching
 
  Object Recognition
 
  Pedestrian Detection
 
  SLAM
 
  超级分辨率
 
  Text Recognition
 
  Tracking
 

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

函数

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)
 

详细描述

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:

  • basic: loading code for all datasets to help start work with them.
  • next stage: quick benchmarks for all datasets to show how to solve them using OpenCV and implement evaluation code.
  • finally: implement on OpenCV state-of-the-art algorithms, which solve these tasks.

函数文档编制

◆  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  
)