v0.6.0rc1

Fixed:

• continue processing when no columns detected but text regions exist
• convert marginalia to main text if no main text is present
• reset deskewing angle to 0° when text covers <30% image area and detected angle >45°
• 🔥 polygons: avoid invalid paths (use Polygon.buffer() instead of dilation etc.)
• return_boxes_of_images_by_order_of_reading_new: avoid Numpy.dtype mismatch, simplify
• return_boxes_of_images_by_order_of_reading_new: log any exceptions instead of ignoring
• filter_contours_without_textline_inside: avoid removing from duplicate lists twice
• get_marginals: exit early if no peaks found to avoid spurious overlap mask
• get_smallest_skew: after shifting search range of rotation angle, use overall best result
• Dockerfile: fix CUDA installation (cuDNN contested between Torch and TF due to extra OCR)
• OCR: re-instate missing methods and fix utils_ocr function calls
• mbreorder/enhancement CLIs: missing imports
• 🔥 writer: SeparatorRegion needs SeparatorRegionType (not ImageRegionType)
  f458e3e
• tests: switch from pytest-subtests to parametrize so we can use pytest-isolate
  (so CUDA memory gets freed between tests if running on GPU)

Added:

• 🔥 layout CLI: new option --model_version to override default choices
• test coverage for OCR options in layout
• test coverage for table detection in layout
• CI linting with ruff

Changed:

• polygons: slightly widen for regions and lines, increase for separators
• various refactorings, some code style and identifier improvements
• deskewing/multiprocessing: switch back to ProcessPoolExecutor (faster),
  but use shared memory if necessary, and switch back from loky to stdlib,
  and shutdown in del() instead of atexit
• 🔥 OCR: switch CNN-RNN model to 20250930 version compatible with TF 2.12 on CPU, too
• OCR: allow running -tr without -fl, too
• 🔥 writer: use @type='heading' instead of 'header' for headings
• 🔥 performance gains via refactoring (simplification, less copy-code, vectorization,
  avoiding unused calculations, avoiding unnecessary 3-channel image operations)
• 🔥 heuristic reading order detection: many improvements
  • contour vs splitter box matching:
    • contour must be contained in box exactly instead of heuristics
    • make fallback center matching, center must be contained in box
  • original vs deskewed contour matching:
    • same min-area filter on both sides
    • similar area score in addition to center proximity
    • avoid duplicate and missing mappings by allowing N:M
      matches and splitting+joining where necessary
• CI: update+improve model caching

Merged PRs

• CD: master is now main by @bertsky in #185
• 📝 extend changelog for v0.5.0 by @vahidrezanezhad in #186
• new attempt at #173 (valid polygons, faster deskewing, various fixes) by @bertsky in #192