image-dataset-converter release

Applied Machine Learning Group, University of Waikato

A new release of our image-dataset-converter-all library is now available: 0.0.11. Docker images have been deployed as well.

The most notably changes since 0.0.7 are:

support for placeholders is now available for readers/writers, which can be used in constructing input/output files/folders, including predefined ones available ({CWD}, {HOME}, {TMP}), input-based ones (e.g., {INPUT_PATH}, {INPUT_NAMEEXT}), user-defined ones (supplied to tools, e.g., via the -p/--placeholders option of the idc-convert tool) and run-time ones (set with the set-placeholder filter)
added the --resume_from option to applicable readers, which allows resuming the pipeline from the file matching the supplied glob, e.g., */012345.jpg
the new from-multi reader and to-multi writer simplify the combining of datasets (from potentially different formats) and output in multiple formats respectively
writers that can split the incoming stream into subsets had the new --split_group option added, which allows keeping samples together within subsets using a regular expression, e.g., when dealing with images that were split into sub-grids or augmented with flipping/rotating