Detectors
=========

Text detection models.

.. automodule:: manuscript.detectors
   :members:
   :undoc-members:
   :show-inheritance:

.. rubric:: EAST: Training Notes

The ``EAST`` detector in manuscript-ocr is based on the architecture proposed in
`EAST: An Efficient and Accurate Scene Text Detector <https://openaccess.thecvf.com/content_cvpr_2017/papers/Zhou_EAST_An_Efficient_CVPR_2017_paper.pdf>`_
(Zhou et al., CVPR 2017). The training procedure has been significantly reworked
compared to the original: the loss weighting scheme, augmentation pipeline,
quadrilateral annotation handling, and support for mixed annotations have all
been modified. Pretrained weights were produced by the project authors.

.. rubric:: EAST Training Quads

EAST training expects quadrilateral targets. When loading COCO
``segmentation`` polygons, use ``augmentation_config["quad_source"]`` in
``EAST.train(...)`` to control how polygons are converted into 4-point
training quads:

- ``"auto"`` keeps existing 4-point polygons as-is and falls back to
  ``minAreaRect`` for longer polygons.
- ``"as_is"`` accepts only 4-point polygons and skips polygons with a
  different number of vertices.
- ``"min_area_rect"`` always fits the minimum-area rectangle and matches
  the legacy conversion path.