output_data_folder              = "data"
folder_scenes_path              = "dataset"
models_information_folder       = 'models_info'
saved_models_folder             = 'saved_models'
reconstructed_folder            = 'reconstructed'

output_file_prefix              = "dataset_"
folder_and_files_filtered       = ["analyse", "make_dataset.py", ".vscode"]

number_of_rows                  = 512
number_of_columns               = 512

kind_of_models                  = ["SGD", "Ridge", "SVR"]

global_result_filepath          = "results/models_comparisons.csv"
global_result_filepath_keras    = "results/models_comparisons_keras.csv"

features_list                   = ['samples', 'variances']

scenes_list                     = ['Exterieur01', 'Boulanger', 'CornellBoxNonVide', 'CornellBoxNonVideTextureArcade', 'CornellBoxVide', 'Bar1', 'CornellBoxNonVideTextureDegrade', 'CornellBoxNonVideTextureDamier', 'CornellBoxVideTextureDamier', 'CornellBoxNonVide', 'Sponza1', 'Bureau1_cam2']

test_scenes                     = ['Sponza1']