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CHANGELOG.rst

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v1.3.2

  • Added a new clustering module containing a 'connected_component' approach.
  • Added two cluster based filtering to be used along 'clustering.connected_component'.
  • Added new script module for automated post-processing.

v1.3.1

  • Bug fix in 'generic_tree' script. Now 'path_detect_frequency' also uses the voxel size defined in the main script.

v1.3

  • Major bump in version to point out operational status after series of minor improvements.

v1.2.2.7

  • Minor changes mainly to update for a new stable version.

v1.2.2.6

  • Removed 'future_code' from the package. These codes will be kept aside until they are ready to be added back into the package.
  • Completely removed all references for HDBSCAN which caused import errors.
  • Renamed automated_separation.large_tree_5 to automated_separation.generic_tree.

v1.2.2.5

  • Changed remove_duplicates function to allow indices output.
  • Temporarily removed continuous_clustering module until further improvements.
  • Replaced HDBSCAN for DBSCAN in the entire package. This aims to make installation simpler and avoid incompatibilities.
  • Set full_matrices to False in svd_evals to improve processing efficiency (reduced processing time and memory usage).
  • Added new autometed separation script large_tree_5.
  • Removed old automated separation scripts: large_tree_1 and large_tree_2.
  • Added new filters: plane_filter, cluster_filter and feature_filter.
  • Added new path detection script, path_detect_frequency.

v1.2.2.4

  • Corrected automated calculation of parameter cf_rad in large_tree_3.
  • Added new gmm_nclasses parameter to large_tree_3.

v1.2.2.3

  • Changed voxel_path_detect parameters to speed up processing.
  • Added maximum iterations to detect_main_pathways to avoid infinite loops or long processing times.

v1.2.2.2

  • Bug fixes in automated_separation.large_tree_3.

v1.2.2.1

  • Fixed base point index in continuity_filter.
  • Added new voxelization wrapped around detect_main_pathways that aims to speed up the processing.
  • Added new automated_separation script, large_tree_3.

v1.2.1.7

  • Changed clustering in filtering.cluster_filter from DBSCAN to HDBSCAN in order to improve memory efficiency.
  • Minor adjustments in automated_separation.large_tree_1.
  • Created new knn optimization function to detect knn values automatically.
  • Added block processing to subset_nbrs.e
  • Minor fixes for improvement on continuity_filter stability.
  • Added new automated separation script, automated_separation.large_tree_2.
  • Corrected class_filter application on large_tree_1 and large_tree_2.
  • Fixed class_filter input target values (finished changing valid values from 1 or 2 to 0 or 1).
  • Added a new final filtering step to large_tree_2 using detect_main_pathways.

v1.2.1.6

  • Minor fixes.

v1.2.1.5

  • Added verbose option to some modules.
  • Changed docstrings style to numpydoc.
  • Added default class_ref DataFrame as a built-in object. User now has the option to use this new default or continue to load a .csv file.
  • Added voxels.py module to create voxels from point clouds.
  • Added voxelization step in automated_separation.large_tree_1 to improve performance in path_detection.

v1.2.1.4

  • Fixed imports. Now, to access any low level function, one has to go through the proper module hierarchy.

v1.2.1.3

  • Changed approach of relative import. Removed all sys.path.append statements and adopted double dots (..) for parent folder imports.

v1.2.1.2

  • Fixed bug in classification.__init__.py failing to import wlseparate_ref as this function no longer exists;
  • Updated documentation strings for Sphinx;

v1.2.1.1

This versions has enough important modifications to get a new subversion number, starting the 1.2 phase.

Some of the changes included in this version are:

  • Changed geodescriptors function name to knn_features;
  • Updated version number in all files and setup.py;
  • Changed point_features.eigen (now called knn_evals) name to accommodate for radius and knn options;
  • Merged array_majority and array_majority_rad into the same function. Use kwargs to make it easier to parse arguments;
  • Merged class_filter and class_filter_rad into the same function. Use kwargs to make it easier to parse arguments;
  • Changed point_compare module name to data_utils;
  • Revised version of path_detection;
  • Changed new output configuration to wlseparate_abs and wlseparate_ref_voting;
  • Removed wlseparate_ref as it's redundant. Same function can be run by using a single 'knn' parameter value in wlseparate_ref_voting;
  • Changed filtering outputs. Now all functions (except for continuity_filter) output arrays of indices instead of points coordinates.;
  • Revised documentation for the whole package. Now, all docstrings are compatible with Sphinx;

v1.1.4

Corrected list of required packages.

v1.1.3

Added new option for automated separation (auto_separation_2). Renamed old separation.py to auto_separation_1.py. Added classificaition probability output to gmm.py. Added classification probability filter to separation. Now all points below some probability threshold will be left unclassified. Added new wlseparate method to auto_separation_2, based on a voting scheme.