settings.yaml

---
json_indent: null  # Set to 4 to save as human-readable format, null for compressed
output_dir: 'data/results'
logging_dir: 'data/logs'
log_to_file: True

# Pipeline settings
pipeline:
  config_filename: 'config.json'
  state_filename: 'pipeline_state.pkl'

neigborhoods:
  cbs_shapefile_path: 'data/neighborhoods/cbs/wijken.shp'
  amsterdam_safety_index_geojson_path: 'data/neighborhoods/amsterdam/safety_index_geometry.geojson'

# OpenStreetMap settings
osm:
  download_timeout: 1200  # Maximum time it can take to for a OpenStreetMap download to complete before timing out
  sub_dir: 'osm/'
  building_gdf_filename: 'building_gdf.pkl' # Pickle file containing the GeoDataFrame with building footprints
  street_gdf_filename: 'street_network_gdf.pkl' # Pickle file containing the GeoDataFrame with the street network
  json_filename: 'buildings.json.gz' # Processed output for the geo-localization algorithm
  building_buffer: 70 # Buffer around the target area in meters to also retrieve buildings for
  show_plots: False # If set to true, plots with the building footprints and street network will be displayed after data collection.

# Google Street View Settings
gsv:
  query_json_filename: 'queries.json.gz'
  meta_json_filename: 'meta.json.gz'
  sub_dir: 'gsv/'
  image_dir: 'images/'
  budget_file: 'data/gsv_budget.txt'
  dollar_price_per_image: 0.007
  default_budget_dollar: 200

# Facade labeling settings
labeling:
  # Batch size for the number of images loaded into memory at once. Used to prevent out of memory errors
  batch_size: 300
  json_filename: 'detected_openings.json.gz'
  sub_dir: 'labeling/'
  # Name of the directory within the output directory in which the visualizations of the detected windows are stored.
  visualization_dir: 'visualization/'
  model_config_path: 'labeling/heatmap_fusion/experiments/resnet/lr1e-3_x120-90-110_center_b2.yaml'
  trained_model_path: 'labeling/heatmap_fusion/model/resnet18_model_latest.pth.tar'
  output_visualizations: True

# Window localization settings
localization:
  json_filename: 'opening_locations.json.gz'
  csv_filename: 'opening_locations.csv'
  sub_dir: 'localization/'
  # Number of meters above which localization results will be discarded
  default_filter_altitude: 10
  # Height of the Google Street view camera im meters
  gsv_camera_height: 2.5

sightlines:
  sub_dir: 'sightlines/'
  gdf_filename: 'sightline_gdf.pkl'
  csv_filename: 'sightlines.csv'
  # Local CRS of the studied area, used for calculating the sightlines. More local CRSs will lead to smaller errors in
  # e.g. sightline distance.
  local_crs_epsg: 28992

features:
  street_features_filename: 'street_level_features.csv'
  neighborhood_features_filename: 'neighborhood_level_features.csv'
  sub_dir: 'features/'