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- import numpy as np
- # folders
- zone_folder = 'zone'
- output_data_folder = 'data'
- dataset_path = 'dataset'
- threshold_map_folder = 'threshold_map'
- models_information_folder = 'models_info'
- results_information_folder = 'results'
- saved_models_folder = 'saved_models'
- min_max_custom_folder = 'custom_norm'
- learned_zones_folder = 'learned_zones'
- # files or extensions
- csv_model_comparisons_filename = 'models_comparisons.csv'
- seuil_expe_filename = 'seuilExpe'
- min_max_filename_extension = '_min_max_values'
- # variables
- renderer_choices = ['all', 'maxwell', 'igloo', 'cycle']
- scenes_names = ['Appart1opt02', 'Bureau1', 'Cendrier', 'Cuisine01', 'EchecsBas', 'PNDVuePlongeante', 'SdbCentre', 'SdbDroite', 'Selles']
- scenes_indices = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I']
- maxwell_scenes_names = ['Appart1opt02', 'Cuisine01', 'SdbCentre', 'SdbDroite']
- maxwell_scenes_indices = ['A', 'D', 'G', 'H']
- igloo_scenes_names = ['Bureau1', 'PNDVuePlongeante']
- igloo_scenes_indices = ['B', 'F']
- cycle_scenes_names = ['EchecBas', 'Selles']
- cycle_scenes_indices = ['E', 'I']
- zones_indices = np.arange(16)
- # parameters
- scene_image_quality_separator = '_'
- scene_image_extension = '.png'
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