# Where to save the downloaded dataset
dataset_dir: "datasets/new_locations"

fpv_options:
  # Pipeline configuration to filter FPV images
  filter_pipeline_cfg: "mia/fpv/filter_pipelines/mia.yaml"

  # Chunk size is used for checkpointing as image metadata
  # can be very memory intensive. This allows you to resume
  # from the last chunk in case things go wrong.
  metadata_download_chunk_size: 50000

  # FPV retrieval is comprised of the stages bellow
  # these boolean flags allow you to only execute certain stages
  # Note that the stages are ordered and later stages assume previous stages
  # are complete.
  stages: 
    get_image_points_from_tiles: True
    get_metadata: True
    run_filter: True
    download_images: True
    to_process_sequence: True

bev_options:
  # Local planet dump OSM file path. File format should be either .osm or .json.
  # If not provided, tiled OSM data will be downloaded from the internet.
  # Additionally, the OSM data will be used to clip images such that they all lie within its boundary box.
  osm_fp:

  # Download the OSM file encompoassing the whole area + some padding
  # Pretty slow to render but can fix the problem of missing road segments,
  # which happens when the small bboxes do not contain any of the ends of the road segment.
  one_big_osm: False

  # Padding in meters that allows rendering a bigger bounding box then cropping.
  # Useful to reduce the problem of missing road segments.
  # If one_big_osm option is turned on, this padding is added over the big map only.
  padding: 50

  # Download OSM data only and do not process maps into semantic masks.
  download_osm_only: False

  # If enabled, the osm_cache will store a file per ID which removes the need for synchronization
  # between processes. If disabled, osm_cache will store files based on bbox queries, enabling 
  # reuse of osm tiles. This was observed to reduce needed OSM downloads by ~20% but will 
  # trigger file lock synchronization if using multiworkers to avoid race conditions.
  store_osm_per_id: False

  # MapMachine style sheet
  map_machine_scheme: "mia/bev/styles/mia.yml"

  #Final map pixel size after rotation
  map_length: 224

  # Map resolution in meters per pixel
  meters_per_pixel: 0.5

  # If downsampling the map after processing is desired
  # You can use the below downsampling factor
  final_downsample: 1

  # Store satelite images as well using google earth engine.
  # Requires you to already have a google earth engine project, be authenticated using `earthengine authenticate`
  # and a the project id set using gcloud auth `gcloud auth application-default set-quota-project PROJECT_ID`)
  store_sat: False

  # Whether or not to store RAW BEV svgs and rendered semantic masks.
  store_all_steps: False
  
  # How many processes to use to process images. Set to 0 to disable multiprocessing.
  n_workers: 0

  # Redownload existing BEV images. Useful if style sheet is updated.
  redownload: False

  # Should we sample from the dataframe instead of downloading everything?
  # Set to -1 to download everything
  n_samples: -1

# List all locations you want to download and process below
cities:
  - name: "Mount Oliver"
    state: "Pennsylvania" # (Optional)
    country: "United States" # (Optional)
    bound_type: "auto_shape" # ["auto_shape", "auto_bbox", "custom_size", "custom_bbox"]
  
  - name: "Greensburg"
    state: "Pennsylvania"
    bound_type: "custom_size"
    custom_size: 5 # 5km x 5km centered on auto-fetched city center
  
  - name: "Frick Park"
    bound_type: "custom_bbox"
    custom_bbox: "-79.9086,40.4294,-79.9052,40.4315" # East,South,West,North