Framework for working with different datasets#

Topics#

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:

  • 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.

Classes#

Name

Description

class cv::datasets::Dataset

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struct cv::datasets::Object

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Function Documentation#

createDirectory()#

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

#include <opencv2/datasets/util.hpp>

getDirList()#

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

#include <opencv2/datasets/util.hpp>

split()#

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

#include <opencv2/datasets/util.hpp>