image-dataset-converter-paddle 0.1.0

image-dataset-converter plugins for Paddle (PArallel Distributed Deep LEarning).

image-dataset-converter plugins for Paddle (PArallel Distributed Deep LEarning - https://github.com/PaddlePaddle).

Supported formats: image classification, image segmentation

Examples can be found here:

https://github.com/waikato-datamining/image-dataset-converter-examples

Changelog

0.1.0 (2025-10-31)

• switched to kasperl library for base API and generic pipeline plugins

• added idc-visualdl-info tool for generating information from VisualDL log files (https://github.com/PaddlePaddle/VisualDL)

• added from-visualdl reader for generating plot data from scalars

0.0.4 (2025-07-11)

• using new prefixed image segmentation methods like imgseg_from_bluechannel instead of to_bluechannel

0.0.3 (2025-04-03)

• added –resume_from option to relevant readers that allows resuming the data processing from the first file that matches this glob expression (e.g., */012345.txt)

• the from-paddle-is reader and to-paddle-is writer support custom separators for the text files linking image and annotation, e.g., one can use a semi-colon instead of the default space when file names should contain spaces as well (use separator: ; in the train_dataset and val_dataset sections)

• the to-paddle-ic writer now raises an exception if it encounters a space in an image name

• new grouping support added to writers via the –split_group option

0.0.2 (2025-03-14)

• added placeholder support: from-paddle-ic, from-paddle-is, to-paddle-ic, and to-paddle-is

0.0.1 (2025-02-11)

• initial release