cellmap_flow.dashboard.bbx_generator
====================================

.. py:module:: cellmap_flow.dashboard.bbx_generator

.. autoapi-nested-parse::

   Bounding box generator integration for the pipeline builder dashboard.
   Uses the neuroglancer viewer to interactively create bounding boxes.



Attributes
----------

.. autoapisummary::

   cellmap_flow.dashboard.bbx_generator.logger


Classes
-------

.. autoapisummary::

   cellmap_flow.dashboard.bbx_generator.BBXGenerator


Functions
---------

.. autoapisummary::

   cellmap_flow.dashboard.bbx_generator.create_bounding_boxes_interactive


Module Contents
---------------

.. py:data:: logger

.. py:class:: BBXGenerator(image_path: str, num_boxes: int, verbose: bool = True)

   Manages interactive bounding box generation in Neuroglancer


   .. py:attribute:: image_path


   .. py:attribute:: num_boxes


   .. py:attribute:: verbose
      :value: True



   .. py:attribute:: viewer
      :value: None



   .. py:attribute:: bounding_boxes
      :value: []



   .. py:method:: start_viewer() -> str

      Start Neuroglancer viewer for drawing bounding boxes.

      :returns: URL to access the viewer



   .. py:method:: wait_for_boxes(timeout: int = 3600) -> List[Dict[str, Any]]

      Wait for user to create bounding boxes.
      Polls the viewer annotations and returns when target is reached or timeout.

      :param timeout: Maximum seconds to wait (default 1 hour)

      :returns: List of bounding boxes



   .. py:method:: close()

      Close the viewer



.. py:function:: create_bounding_boxes_interactive(image_path: str, num_boxes: int, verbose: bool = True) -> List[Dict[str, Any]]

   Create bounding boxes interactively in Neuroglancer.

   :param image_path: URL or path to image (zarr/n5/precomputed)
   :param num_boxes: Target number of bounding boxes to create
   :param verbose: Print progress messages

   :returns: List of bounding boxes