config.py 1.9 KB

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  1. import numpy as np
  2. zone_folder = "zone"
  3. output_data_folder = 'data'
  4. dataset_path = 'dataset'
  5. threshold_map_folder = 'threshold_map'
  6. models_information_folder = 'models_info'
  7. saved_models_folder = 'saved_models'
  8. min_max_custom_folder = 'custom_norm'
  9. learned_zones_folder = 'learned_zones'
  10. correlation_indices_folder = 'corr_indices'
  11. csv_model_comparisons_filename = "models_comparisons.csv"
  12. seuil_expe_filename = 'seuilExpe'
  13. min_max_filename_extension = "_min_max_values"
  14. config_filename = "config"
  15. noisy_folder = 'noisy'
  16. not_noisy_folder = 'notNoisy'
  17. models_names_list = ["svm_model","ensemble_model","ensemble_model_v2","deep_keras"]
  18. # define all scenes values
  19. renderer_choices = ['all', 'maxwell', 'igloo', 'cycle']
  20. scenes_names = ['Appart1opt02', 'Bureau1', 'Cendrier', 'Cuisine01', 'EchecsBas', 'PNDVuePlongeante', 'SdbCentre', 'SdbDroite', 'Selles']
  21. scenes_indices = ['A', 'B', 'C', 'D', 'E', 'F', 'G', 'H', 'I']
  22. maxwell_scenes_names = ['Appart1opt02', 'Cuisine01', 'SdbCentre', 'SdbDroite']
  23. maxwell_scenes_indices = ['A', 'D', 'G', 'H']
  24. igloo_scenes_names = ['Bureau1', 'PNDVuePlongeante']
  25. igloo_scenes_indices = ['B', 'F']
  26. cycle_scenes_names = ['EchecBas', 'Selles']
  27. cycle_scenes_indices = ['E', 'I']
  28. normalization_choices = ['svd', 'svdn', 'svdne']
  29. zones_indices = np.arange(16)
  30. metric_choices_labels = ['all', 'static', 'svd_reconstruction', 'fast_ica_reconstruction', 'ipca_reconstruction']
  31. post_image_name_separator = '___'
  32. keras_epochs = 30
  33. keras_batch = 32
  34. val_dataset_size = 0.2
  35. keras_img_size = (200, 200)