✨ feat(data_processing.py): add raw_data parameter to get_advanced_data function to improve flexibility
The L variable was not being computed in the get_advanced_data function, which is necessary for the calculation of the tortuosity. The raw_data parameter was added to the get_advanced_data function to improve flexibility and allow for more advanced calculations to be performed.
🐛 fix(input.py): add filename attribute to ScannedObject class
The filename attribute was not being set in the ScannedObject class, which is necessary for generating the output file headers.
✨ feat(output.py): add function to generate headers for output file
The generate_headers function was added to generate the headers for the output file. The headers include the filename, date, version, discretisation method, and whether the data was verticalised.
🚀 chore(MainWindow.py): enable process_advanced_data function
🎨 style(MainWindow.ui, UI_MainWindow.py): adjust GUI layout and label text for better user experience
The GUI layout has been adjusted to improve the user experience. The window width has been reduced from 1419 to 1336 pixels to better fit the screen. The minimum and maximum sizes of the MainSettings widget have been increased from 518 to 600 pixels to allow for more space for the labels. The labels have been updated to include the units of measurement to improve clarity.
🐛 fix(AdvancedDataWorker.py): add raw_data parameter to __init__ method
✨ feat(AdvancedDataWorker.py): add support for raw data processing in get_advanced_data method
The AdvancedDataWorker class now has a raw_data parameter in its __init__ method, which is used in the get_advanced_data method. This allows for raw data processing in addition to the existing discrete data processing.
🐛 fix(DiscreteDataWorker.py): generate headers before formatting data
✨ feat(DiscreteDataWorker.py): add support for generating headers in output file
The DiscreteDataWorker class now generates headers for the output file if the add_headers setting is enabled. The headers are generated before formatting the data to ensure that the headers are included in the output file.
🐛 fix(PreProcessWorker.py): set filename of ScannedObject
The PreProcessWorker class now sets the filename of the ScannedObject to the basename
🎨 style(UI_Settings.py): reorganize widgets in the settings UI for better readability
🐛 fix(data_extraction.py): fix standard deviation calculation to use unbiased estimator
🔧 chore(SettingManager.py): add "add_headers" setting with default value of True
The changes in UI_Settings.py are purely cosmetic and do not affect the functionality of the code. The fix in data_extraction.py corrects the standard deviation calculation to use the unbiased estimator. The addition of the "add_headers" setting in SettingManager.py allows for the addition of headers to output files.
✨ feat(data_processing.py): add function to calculate morphological indicators from discrete data
The variable name teta_diffs was changed to theta_diffs to improve semantics. A new function was added to calculate morphological indicators from discrete data. The function calculates Tortuosity, Volume, Surface, Mean radius, Standard deviation of radius, Sigma r tot, MI_l, and MI_p.
🔥 refactor(input.py): remove unused result_file_path parameter from ScannedObject constructor and from_xyz_file method
✨ feat(input.py): add encoding parameter to open method in from_obj_file and from_xyz_file methods
The result_file_path parameter was not being used in the ScannedObject constructor and from_xyz_file method, so it was removed to simplify the code. The encoding parameter was added to the open method in the from_obj_file and from_xyz_file methods to ensure that the files are opened with the correct encoding.
🐛 fix(output.py): add utf-8 encoding when writing to output file
✨ feat(output.py): remove unused import and function argument, improve code readability
The fix adds the utf-8 encoding when writing to the output file to avoid encoding issues. The feat removes the unused import and function argument to improve code readability. The function format_data now only takes the necessary arguments and the unused import is removed.
🐛 fix(main_window.py): fix typo in function name
✨ feat(main_window.py): add persistence to pre-processed data
The fix corrects a typo in the function name get_true_theta_from_x_y. The feat adds persistence to the pre-processed data by storing the raw data, discrete data, and advanced data in the main window. This avoids re-computation of the data when switching between tabs.
🎨 style(MainWindow.ui): add export_advanced_metrics button to the UI
🎨 style(UI_MainWindow.py): add export_advanced_metrics button to the UI
🎨 style(ressources_rc.py): update the resource file
🐛 fix(data_extraction.py): fix typo in function name get_mean_teta to get_mean_theta
The changes add a new button to the UI named "export_advanced_metrics" which allows the user to export variables. The resource file is updated to reflect the changes. The typo in the function name get_mean_teta is fixed to get_mean_theta.
