v0.2.0

Feature release focused on production dataset workflows.

Highlights:

• Added ElasticTransform and expanded advanced Albumentations transform allowlist.
• Added synchronized YOLO bounding box augmentation.
• Added synchronized segmentation mask augmentation.
• Added annotation config blocks for labels and masks.
• Added a visual before/after README grid, badges, Quick Start, and architecture docs.
• Added MIT license metadata.
• Added GitHub Actions CI that builds Python distributions and attaches dist files to tag releases.

Validation:

• python -m compileall image_aug_cli
• config and pipeline validation for configs/example.yaml and configs/yolo_masks.yaml
• smoke test for image + YOLO label + segmentation mask output
• python -m build

v0.1.0

Initial release of Image Data Augmentation CLI.

Highlights:

• Typer-based CLI with --input, --output, and --config options.
• YAML/JSON augmentation pipeline configuration.
• Albumentations-powered transforms for resize, flip, rotate, blur, noise, and brightness/contrast.
• Multiprocessing image processing engine with Rich progress output.
• Windows helper scripts for installing dependencies and running the tool.
• Dataset folder structure preservation and configurable output naming.