Python API

Tracking module

• Tracking optimization and preset — napari_easytrack.analysis.tracking
• run_tracking_core()
• run_tracking_process()
• run_tracking_with_params()
• validate_params()

Presets module

• Presets — napari_easytrack.presets
• create_btrack_config_dict()
• get_presets()
• load_config_from_json()
• load_preset_if_exists()

Utils module

• Utilities — napari_easytrack.utils
• clean_segmentation()
• load_files_from_pattern()
• load_segmentation()
• load_single_stack()
• remove_small_labels()

Optimization Backend module

• Optimization backend — napari_easytrack.analysis.optim_backend
• _fill_gaps_in_segmentation()

Optimization Pipeline module

• Optimization pipeline — napari_easytrack.analysis.optim_pipeline
• add_config_params_to_dict()
• add_missing_attributes()
• calculate_accuracy()
• optimize_dataset()
• optimize_dataset_with_timeout()
• read_config_params()
• run_cell_tracking_algorithm()
• run_with_timeout()
• write_best_params_to_config()

Optimization Manager module

• Optimization manager — napari_easytrack.analysis.optim_manager
• OptimizationManager
  • OptimizationManager.db_path
  • OptimizationManager.db_url
  • OptimizationManager.signals
  • OptimizationManager.current_thread
  • OptimizationManager.current_study_name
  • OptimizationManager.is_running
  • OptimizationManager.should_cancel
  • OptimizationManager.start_time
  • OptimizationManager.study
  • OptimizationManager.start_optimization()
  • OptimizationManager.get_progress()
  • OptimizationManager.cancel_current()
  • OptimizationManager.is_complete()
  • OptimizationManager.get_best_trials()
  • OptimizationManager.study_exists()
  • OptimizationManager.get_study_summary()
  • OptimizationManager.cleanup()
  • OptimizationManager.cancel_current()
  • OptimizationManager.cleanup()
  • OptimizationManager.get_best_trials()
  • OptimizationManager.get_progress()
  • OptimizationManager.get_study_summary()
  • OptimizationManager.is_complete()
  • OptimizationManager.start_optimization()
  • OptimizationManager.study_exists()