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
1 maintainer
Metadata
1 maintainer
Release files for image-dataset-converter-paddle 0.1.0
For a detailed explanation of source distributions (sdists) and built distributions (wheels), please see the package formats documentation.
Source distribution (sdist)
| File | Size | Uploaded | Provenance | |
|---|---|---|---|---|
| image_dataset_converter_paddle-0.1.0.tar.gz | 13.6 kB | Without provenance | Details |
Release files / image_dataset_converter_paddle-0.1.0.tar.gz
| Download URL | image_dataset_converter_paddle-0.1.0.tar.gz |
|---|---|
| Size | 13.6 kB |
| Tags | Source |
|
SHA-256 checksum How to use checksums |
269aa4c48316264769fcf779551a0cfc7f843804f38a5d16f598c49bc85e9bbd
|
|
BLAKE2b-256 checksum How to use checksums |
86ad98351329506727923b21642190aecddf93604e31c8c541379a1ac213a826
|
| Upload date | |
|
Uploaded using Trusted Publishing? What is trusted publishing? |
No |
| Uploaded via |
twine/5.0.0 CPython/3.12.3
|
Security for image-dataset-converter-paddle 0.1.0
Provenance
Provenance describes where a file came from. On PyPI, provenance is shared via attestations, which provide a verifiable record of the build or publishing details. View details, limitations and caveats.
No provenance found
None of the files in this release were uploaded with provenance metadata.
A note on package security
PyPI is a repository for distributing packages, not a service for auditing them. While third-party security researchers and our staff do their best to detect and remove malicious packages, PyPI cannot guarantee the quality, security or suitability of any given package.
