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