text: # Dataset
  dataset_name                 = 'bungalows'                        # Dataset name
  dataset_path                 = 'datasets/bungalows/input'         # Dataset path
  gt_path                      = 'datasets/bungalows/groundtruth'   # Ground truth path
  results_path                 = 'datasets/bungalows/results'
  
  # Input Images
  nr_images                    = 600
  first_image                  = '000001'         # Fist image filename
  image_type                   = 'jpg'            # Input image type
  gt_image_type                = 'png'            # Ground truth image type
  result_image_type            = 'png'
  
  # Background Modelling
  alpha                         = 3.051
  rho                           = 0.211
  
  modelling_method              = 'adaptive'      # adaptive, non-adaptive
  color_space                   = "RGB"           # RGB, HSV
  
  # Foreground Modelling
  four_connectivity             = False
  opening_strel                 = 'square'
  opening_strel_size            = 5
  closing_strel                 = 'square'
  closing_strel_size            = 15
  area_filtering                = False
  area_filtering_P              = 70
  
  # Kalman Filter
  init_estimate_error           = [200, 25]
  motion_model_noise            = [100, 25]
  measurement_noise             = 100.0
  
  # Multi-tracking parameters
  cost_of_non_assignment        = 50
  invisible_too_long            = 7
  min_age_threshold             = 15
  
  # Alternative tracking (SOTA)
  min_width                     = 21
  min_height                    = 21
  
  # Save results
  save_results                 = True        # Save Log file
  output_folder                = 'results'   # Output folder to save the results of the test
  save_plots                   = True        # Save the plots to disk
  