image-dataset-converter-paddle


Nameimage-dataset-converter-paddle JSON
Version 0.0.4 PyPI version JSON
download
home_pagehttps://github.com/waikato-datamining/image-dataset-converter-paddle
Summaryimage-dataset-converter plugins for Paddle (PArallel Distributed Deep LEarning).
upload_time2025-07-10 22:19:19
maintainerNone
docs_urlNone
authorPeter Reutemann
requires_pythonNone
licenseMIT License
keywords
VCS
bugtrack_url
requirements No requirements were recorded.
Travis-CI No Travis.
coveralls test coverage No coveralls.
            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
=========

0.0.4 (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


            

Raw data

            {
    "_id": null,
    "home_page": "https://github.com/waikato-datamining/image-dataset-converter-paddle",
    "name": "image-dataset-converter-paddle",
    "maintainer": null,
    "docs_url": null,
    "requires_python": null,
    "maintainer_email": null,
    "keywords": null,
    "author": "Peter Reutemann",
    "author_email": "fracpete@waikato.ac.nz",
    "download_url": "https://files.pythonhosted.org/packages/2d/be/f2d435fcbb159ecaa3cb06eedd47623cf02402b6dab3caf50608ddd1b1f4/image_dataset_converter_paddle-0.0.4.tar.gz",
    "platform": null,
    "description": "image-dataset-converter plugins for Paddle (PArallel Distributed Deep LEarning - https://github.com/PaddlePaddle).\n\nSupported formats: image classification, image segmentation\n\nExamples can be found here:\n\nhttps://github.com/waikato-datamining/image-dataset-converter-examples\n\n\nChangelog\n=========\n\n0.0.4 (2025-07-11)\n------------------\n\n- using new prefixed image segmentation methods like `imgseg_from_bluechannel` instead of `to_bluechannel`\n\n\n0.0.3 (2025-04-03)\n------------------\n\n- added `--resume_from` option to relevant readers that allows resuming the data processing\n  from the first file that matches this glob expression (e.g., `*/012345.txt`)\n- the `from-paddle-is` reader and `to-paddle-is` writer support custom separators for the text\n  files linking image and annotation, e.g., one can use a semi-colon instead of the default\n  space when file names should contain spaces as well\n  (use `separator: ;` in the `train_dataset` and `val_dataset` sections)\n- the `to-paddle-ic` writer now raises an exception if it encounters a space in an image name\n- new grouping support added to writers via the `--split_group` option\n\n\n0.0.2 (2025-03-14)\n------------------\n\n- added placeholder support: `from-paddle-ic`, `from-paddle-is`, `to-paddle-ic`, and `to-paddle-is`\n\n\n0.0.1 (2025-02-11)\n------------------\n\n- initial release\n\n",
    "bugtrack_url": null,
    "license": "MIT License",
    "summary": "image-dataset-converter plugins for Paddle (PArallel Distributed Deep LEarning).",
    "version": "0.0.4",
    "project_urls": {
        "Homepage": "https://github.com/waikato-datamining/image-dataset-converter-paddle"
    },
    "split_keywords": [],
    "urls": [
        {
            "comment_text": "",
            "digests": {
                "blake2b_256": "2dbef2d435fcbb159ecaa3cb06eedd47623cf02402b6dab3caf50608ddd1b1f4",
                "md5": "1249bcb7bd41dab9430ada1caf450a1c",
                "sha256": "3ae696113b98760db90a16f4f02d23ed1055c841f740f71298a8e031c42e345e"
            },
            "downloads": -1,
            "filename": "image_dataset_converter_paddle-0.0.4.tar.gz",
            "has_sig": false,
            "md5_digest": "1249bcb7bd41dab9430ada1caf450a1c",
            "packagetype": "sdist",
            "python_version": "source",
            "requires_python": null,
            "size": 10132,
            "upload_time": "2025-07-10T22:19:19",
            "upload_time_iso_8601": "2025-07-10T22:19:19.099489Z",
            "url": "https://files.pythonhosted.org/packages/2d/be/f2d435fcbb159ecaa3cb06eedd47623cf02402b6dab3caf50608ddd1b1f4/image_dataset_converter_paddle-0.0.4.tar.gz",
            "yanked": false,
            "yanked_reason": null
        }
    ],
    "upload_time": "2025-07-10 22:19:19",
    "github": true,
    "gitlab": false,
    "bitbucket": false,
    "codeberg": false,
    "github_user": "waikato-datamining",
    "github_project": "image-dataset-converter-paddle",
    "travis_ci": false,
    "coveralls": false,
    "github_actions": false,
    "lcname": "image-dataset-converter-paddle"
}
        
Elapsed time: 0.39888s