config.yaml

dev_mode: False #Use this to create data for dev purpouses, otherwise set to False for production mode, when this flag is False, labels wont' be used in any part of the pipeline
save_dataset: True #Use this to save a dataset once is processed
plot_kea: False #Plot Kea images and create shapes from those.
coordinates: True
k_means_segmentation:
  input:
    image_difference: 'datasets/input/satellite_imagery/image_difference/'
    post_event_image: 'datasets/input/satellite_imagery/post_event_image/'
    training_labels: 'datasets/input/labels_shp/'
  output:
    tables: 'datasets/output/k_means_segmentation/tables/'
    segments: 'datasets/output/k_means_segmentation/segments/'
  temps:
    folder: 'datasets/output/k_means_segmentation/temps/'
    shapes: 'datasets/output/k_means_segmentation/temps/shapes/'
    shepherd: 'datasets/output/k_means_segmentation/temps/shepherd'
  params:
    numClusters: 19 # is an int which specifies the number of clusters within the KMeans clustering (default = 60).
    minPxls: 80  # is an int which specifies tDhe minimum number pixels within a segments (default = 100)
    distThres: 50  # specifies the distance threshold  for joining the segments (default = 100, set to large number to turn off this option)
    sampling: 100  # sampling specify the subsampling of the image for the data used within the KMeans (default = 100; 1 == no subsampling)
    kmMaxIter: 200  # maximum iterations for KMeans.
mergin_algorithm:
  input:
    tables: 'datasets/output/k_means_segmentation/tables/'
  output:
    wrong:  'datasets/output/merging_algorithm/wrong/'
    merged: 'datasets/output/merging_algorithm/merged/'
    regions: 'datasets/output/merging_algorithm/regions/'
  params:
    n_std_ndvi_change: 2.0
    n_std_rgd: 2.0
    thr_coarse: 0.2
    thr_fine: 0.05
model:
  path: 'model/model_validation_2019_14_9'
  segments: 'datasets/output/merging_algorithm/merged/'
  predictions: 'datasets/output/predictions/'
  regions: 'datasets/output/merging_algorithm/regions/'