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Changelog

This project attempts to follow Semantic Versioning and uses Keep-a-Changelog formatting. But I make mistakes sometimes.

[3.4.0] - 2024-08-26

Added

  • StateBuilder : Added use_skeleton_source as an optional argument for from_client to use a skeleton service advertised in the info service.
  • SegmentProperties New option prepend_col_name in SegmentProperties.from_dataframe will prepend the column name to the tag values.

[3.3.7] - 2024-07-24

Added

  • StateBuilder New option on StateBuilder.render_as: return_as="short" will upload the state and return a short URL to the state.
  • StateBuilder New helper statebuilder.helpers.segment_property_link will quickly generate a basic link from a segment property.

Changed

  • Default "spelunker" neuroglancer deployment was changed.

Fixed

  • StateBuilder Fixed a bug when setting the background color in Spelunker sites.
  • StateBuilder Fixed a bug in using segment property maps.

[3.3.6] - 2024-07-23

Added

  • SegmentProperties New method "label_format_map" allows you to build arbitrary label formats from dataframe columns using

Fixed

  • SegmentProperties Nulls in label columns are ignored as intended.

[3.3.5] - 2024-07-19

Added

  • SegmentProperties The label_col argument in SegmentProperties.from_dataframe can now take a list of column names. Labels are concatenated with a seperator set with label_separator that defaults to an underscore (_).
  • StateBuilder Recent segment property arguments included in the segment property maps for SegmentationLayerConfigs.

Changed

  • SegmentProperties All property names (the id field) are coerced to strings, as required.

[3.3.4] - 2024-07-19

Fixed

  • SegmentProperties: Fixed a bug in building tags from dataframes.

[3.3.3] - 2024-07-19

Added

  • SegmentProperties: Tag columns will now automatically disambuguate tags if they are duplicated in different columns of the dataframe. For example, if you had "my_column" with value "type_a" and "their_column" also with value "type_a", the tag would become "my_column:type_a" and "their_column:type_a". This can be turned off by setting the allow_disambiguation argument to False.
  • SegmentProperties: The SegmentProperties.from_dataframe method now has a allow_disambiguation argument to control whether the disambiguation above is performed.

Changed

  • SegmentProperties: Tag property generation performance for long dataframes is improved.

Fixed

  • SegmentProperties: Fixed a bug in handling tag columns with categorical dtype.

[3.3.2] - 2024-07-18

Changed

  • StateBuilder: When providing a URL but not a client, you will now get a warning that target-site cannot be inferred.

Fixed

  • Small changes to work in python 3.8, because the only issue was type hints.

[3.3.1] - 2024-07-12

Fixed

  • Removed debug statements left in after testing.

[3.3.0] - 2024-07-12

Added

  • StateBuilder : Added a skeleton_source and skeleton_shader parameter to SegmentationLayerConfig to put skeleton info into the state.
  • EasyViewer : Added set_skeleton_source and set_skeleton_shader methods to EasyViewer.

Fixed

  • SegmentProperties : Better handling of null values (nan, None, and empty strings) in tag columns, all of which are ignored.
  • Various requirements updates that were necessary.

[3.2.1] - 2024-07-11

Added

  • SegmentProperties : Added a .to_dataframe() method for segment properties to convert them back to a dataframe.

[3.2.0] - 2024-07-10

Added

  • SegmentProperties : A new module has been created to build Segment Properties, which are a method of organizing information about segment IDs in a Neuroglancer segmentation layer. Segment Properties only work with the newer Google/Spelunker branches, and offer a way to add browsable and searchable metadata to segments that can be viewed in the viewer.
  • StateBuilder : Various changes were made to support segment properties from both explicit URLs and from data-driven mapping. See documentation for details.

Changed

  • StateBuilder : Image layers for spelunker now use native contrast controls.

Fixed

  • StateBuilder : Improvements to the use of target_site and url_prefix in general when both creating statebuilder and rendering states. In particular, the values in render_state should now correctly take precendence over the values in StateBuilder when both are set.

[3.1.0] - 2024-05-29

Added

  • The Parser function annotation_dataframe now has a parameter expand_tags that will create a boolean column for each tag in each annotation layer indicating if the annotation has that tag or not.

Fixed

  • Parser : Fixed bugs in getting bounding box annotations and in getting linked segmentations for Spelunker-style states.

[3.0.3] – 2024-4-30

Fixed

  • StateBuilder : Fixed a bug preventing tags from being set.

[3.0.2] – 2024-1-19

Fixed

  • Improve consistency of target_site argument in StateBuilder.

[3.0.1] – 2023-12-20

Fixed

  • Fixed an unnecessary import that caused an error.
  • Added python package neuroglancer to the requirements so versions with errors or incompatibilities can be avoided.

[3.0.0] – 2023-12-20

Added

  • StateBuilder and EasyViewer Substantial refactor, adding basic support for the main Google Neuroglancer branch and the Cave-Explorer/Spelunker deployments coming online with CAVE. Most functionality should be seamless, with the client checking for version. Currently, only the Cave-Explorer and Spelunker deployments are fully supported for this automated version check, as the response depends on a build-specific version.json file. If no automated version is set or one wants to override any settings, the target_site argument can be set to cave-explorer or mainline for the main Google branch or seunglab for the older Seung-lab branch.

[2.14.1] - 2023-05-14

Fixed

  • StateBuilder Recast all layer names as strings to avoid issues with numeric.

[2.14.0] - 2023-04-12

Fixed

  • StateBuilder Fixed various issues with stacking multiple points into a single row.

[2.13.0] - 2023-02-21

Added

  • StateBuilder Adding a helper function for basic line annotation states
  • StateBuilder Helper functions can take split_position argument.

[2.12.1] - 2023-01-30

Fixed

  • StateBuilder Handle None data correctly with mapping sets.

[2.12.0] - 2023-01-30

Added

  • EasyViewer At long last, you can set the background color in set_view_options with the argument background_color. As elsewhere, this uses webcolors to deal with color parsing, so it can take names or rgb or hex.
  • StateBuilder StateBuilder can now set the background color in in view_kws with the key background_color.
  • StateBuilder Mapping sets offer a new and simple iapproach to having multiple dataframes with different mapping rules.
  • StateBuilder Mapping rules can handle dataframes where the point position components are split across different columns, assuming that the suffices are always _x, _y, and _z. Set split_positions=True in the mapping rule to use this.

Changed

  • StateBuilder Mapping rules now default to set_position = True.

[2.10.0] - 2022-08-11

Added

  • StateBuilder A number of helper functions to produce common states have been added to statebuilder. You can use the function make_neuron_neuroglancer_link to generate a link with one or more root ids and, optionally, their synapses. Further, you can use the function make_synapse_neuroglancer_link to generate a state from a synapse dataframe.
  • StateBuilder Linked segmentations and annotation groups now support multiple columns. For linked segmentations, this adds multiple root ids per annotation. For groups, each unique combinations of values gets its own group.
  • StateBuilder and EasyViewer Colors for layers or segment ids can now be in RGB tuples with values between 0--1 or CSS3 named colors, not just hex.
  • StateBuilder When using the client= argument, viewer resolution is inferred from the client info and does not need to be passed as an additional argument.

Fixed

  • StateBuilder For SegmentationLayerConfigs, adding selection maps via add_selection_map is more robust.

[2.7.2] - 2021-06-13

Fixed

  • StateBuilder Multipoint now works with set_position.

[2.7.1] - 2021-06-13

Fixed

  • StateBuilder Multipoint performance has improved.

[2.7.0] - 2021-06-13

Added

  • StateBuilder In all Mappers, setting multipoint=True will allow the point columns to contain multiple points per row, with the other columns assigned to all points in the row. Note that for Mappers with multiple point columns (e.g. LineMappers, SphereMappers, and BoundingBoxMappers), the number of values must be the same in both columns.

[2.6.0] - 2021-06-11

Added

  • StateBuilder You can now set a timestamp in SegmentationLayerConfig. Either datetime or unix epoch are allowed.

[2.5.0]

  • StateBuilder You can now set split points using a SplitPointMapper

[2.4.0] - 2021-01-22

Added

  • Parser: get_selected_ids does what it says for a layer.

Fixed

  • Parser: Getting annotations with tags/descriptions/etc works.
  • StateBuilder: return_as parameter works with ChainedStateBuilder now

[2.3.1] - 2021-01-15

Fixed

  • Remove pytables from requirements, because the pip install does not work on OS X (at least). If you want to run tests, you will need to install either with pip install tables if you're on a system where that works or conda install pytables otherwise.

[2.3.0] - 2021-01-14

Added

  • StateBuilder: At long last, a BoundingBoxMapper
  • StateBuilder: A from_client function to generate simple image & segmentation states from a FrameworkClient instance.
  • StateBuilder: Statebuilder can take a client to configure certain default parameters.
  • StateBuilder: SegmentationLayerConfig explicitly takes some view keyword arguments: alpha_selected, alpha_3d, and alpha_unselected.
  • Parser: New options to get annotation groups and group ids for all annotations.
  • Parser: New function to extract multicut information from a state.

Fixed

  • StateBuilder: Fixed a scenario where int64s get altered by a conversion through floats.

Changed

  • Statebuilder: Behind the scenes refactoring that should not affect use.

[2.2.1] — 2020-10-21

Fixed

  • StateBuilder: Setting view options for Graphene segmentation layers now works
  • Parser: Now imported as a property of nglui if you import as import nglui.
  • Small bug fixes.

[2.2.0] — 2020-09-04

Added

  • Parser submodule nglui.parser for quickly extracting data from neuroglancer states. This should remove some of the boilerplate one writes every time you want to get data out of a state.

  • AnnotationLayerConfig now can take arguments about user interactions such as filtering by segmentation and bracket shortcuts showing segmentations.

Changed

  • Default behavior for annotation layers now has filtering by segmentation turned off and bracket shortcuts showing segmentations turned on.

[2.1.1] — 2020-08-17

Changed

  • Switched from numpy isnan to pandas isnull in StateBuilder. This allows nullable pandas Int64 dtypes to work as columns

[2.1.0] — 2020-07-14

Added

  • Grouped annotations in nglite base and EasyViewer's annotation module. This feature lets you create annotation groups in the Seung-lab branches of Neuroglancer, where multiple annotations are related to one another. It works by passing a list of already-created annotations and getting a new "CollectionAnnotation" that groups them together.

  • Grouped annotations in StateBuilder. PointMapper, SphereMapper, and LineMapper objects can take a 'group_column' value. Data in this column is intended to be numeric or NaN, and rows that share the same value are grouped together. At the moment, this feature only works within individual mapper objects.

  • Two options for linked segmentation ids on grouped annotations: gather_linked_segmentations assigns all linked ids of objects within the group to the group annotation itself (True by default). share_linked_segmentations will add all linked objects within the group to all annotations within the group (False by default).

  • array_data option on AnnotationLayerConfig for simple cases where you just want to map Nx3 arrays to points, a pair of Nx3 arrays to lines, or an Nx3 + N array to spheres (centers+radii).

Fixed

  • Bug in GL Shader that caused StateBuilder to fail when constrast_controls was set to True.

[2.0.2] - 2020-06-18

Added

  • Custom GL Shaders (see documentation) for image and segmentation layers can be set in EasyViewer.

  • JSON State Server can be set in EasyViewer.

  • Added contrast_controls argument to statebuilder.ImageLayerConfig to provide brightness/contrast controls to layer through GL Shader.

  • Added state_server argument to statebuilder.StateBuilder to pre-set state server endpoints.

[2.0.1] - 2020-04-27

Fixed

  • Removed unnecessary parts of the included neuroglancer module (nglite) for cleanliness.

[2.0.0] - 2020-04-25

This update significantly changed the underlying nature and goals of the Neuroglancer Annotation UI project.

Added

  • StateBuilder module for rule-based method of generating Neuroglancer states from Pandas DataFrames.

  • Added various features to make use of specific aspects of the Seung-lab Neuroglancer fork.

Changed

  • Removed dependency on neuroglancer python package, which was not designed for the Seung-Lab Neuroglancer fork and had some difficult install requirements for features that were unnecessary for this project demanded.

Removed

  • Dynamic state management via python server.