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CHANGELOG.md

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Changelog

All notable changes to this project will be documented in this file.

The format is based on Keep a Changelog, and this project adheres to Semantic Versioning.

[0.3.1] - 2026-03-11

Added

  • Added PyPI version badge and GitHub Actions build status badge to README.md
  • Added GitHub Actions workflow for PyPI publishing (python-publish.yml)
  • Added detailed YOLO, LabelMe, and COCO format documentation in docs/ directory

Changed

  • Updated GitHub workflow name from "Upload Python Package" to "Publish"
  • Updated version from 0.3.0 to 0.3.1

Fixed

  • Fixed color assignment in LabelMe visualization to assign distinct colors per class (previously all annotations used same color)

Documentation

  • Added Documentation section to table of contents in README.md
  • Updated README.md and CLAUDE.md with latest project structure and segmentation support
  • Added generic.py to visualize module documentation
  • Added all converter test files to project structure

[0.3.0] - 2026-03-11

Added

  • Complete LabelMe format conversion support with bidirectional conversion between LabelMe, COCO, and YOLO formats
  • Added coco2labelme, labelme2coco, labelme2yolo, and yolo2labelme conversion commands
  • Added LabelMe visualization module (dataflow visualize labelme) and Python API function visualize_labelme()
  • Added comprehensive LabelMe conversion examples in samples/ directory

Changed

  • Refactored conversion module structure for better maintainability and extensibility
  • Updated module organization following task-sub-task pattern

Fixed

  • Fixed image path resolution in LabelMeVisualizer

Documentation

  • Updated README Installation section with detailed instructions
  • Added LabelMe conversion examples and documentation

[0.2.1] - 2026-03-10

Changed

  • Updated version from 0.2.0 to 0.2.1

[0.2.0] - 2026-03-08

Added

  • Added YOLO and COCO visualization module with CLI support (dataflow visualize yolo and dataflow visualize coco)
  • Added Python API convenience functions: visualize_yolo() and visualize_coco()
  • Added comprehensive visualization examples in samples/ directory

Changed

  • Refactored COCO-YOLO conversion to be batch-first with new interfaces
  • Improved command-line interface options and error handling
  • Cleaned up and consolidated codebase structure
  • Updated version from 0.1.1 to 0.2.0

Fixed

  • Fixed CLI interface options and improved user experience

Documentation

  • Updated CLAUDE.md with detailed usage and architecture guidelines
  • Added DeepSeek-V3.2 AI model information to git commit guidelines
  • Updated git commit guidelines with proper AI model attribution

[0.1.1] - 2026-03-07

Added

  • Added setup.py to enable editable installations via python setup.py develop
  • Added CHANGELOG.md file

Changed

  • Updated version from 0.1.0 to 0.1.1
  • Updated dependency versions:
    • numpy>=2.0.0 (from >=1.19.0)
    • opencv-python>=4.8.0 (from >=4.5.0)
    • Pillow>=10.0.0 (from >=8.0.0)
    • click>=8.1.0 (from >=8.0.0)
  • Updated installation documentation in README.md and CLAUDE.md:
    • Added python setup.py develop for editable installation
    • Changed pip install -e . to pip install . for regular installation
  • Updated pyproject.toml:
    • Fixed license format to use SPDX expression
    • Removed deprecated license classifier
    • Limited setuptools version to <70 for compatibility

Fixed

  • Fixed build warnings related to license format and classifiers
  • Fixed license configuration in pyproject.toml (use {text = "MIT"} format)
  • Added custom develop command to enable python setup.py develop for editable installation
  • Note: pip install -e . may not work due to setuptools compatibility issues; use python setup.py develop instead
    • With editable installation, use python -m dataflow.cli instead of dataflow command

[0.1.0] - 2026-03-06

Added

  • Initial release with format conversion between LabelMe, COCO, and YOLO formats
  • Batch conversion support for all conversion directions
  • Single-image and batch visualization
  • Command-line interface with convert and visualize subcommands
  • Python API for programmatic access