webserver:
  host: $SERVER_HOST|"127.0.0.1"  # webserver address
  port: $SERVER_PORT|5000  # webserver port
  mode: $SERVER_MODE|production  # webserver mode: {development, production}

service:
  logging_level: $LOGGING_LEVEL_ROOT|DEBUG  # Logging level for service logger
  batch_size: $BATCH_SIZE|32  # Number of images in memory simultaneously
  verbose: $VERBOSE|True  # Service prints document processing progress to stdout
  run_id: $RUN_ID|fabfb1f192c745369b88cab34471aba7  # The ID of the mlflow run to load the model from


# These variables control filters that are applied to either images, image metadata or model predictions. The filter
# result values are reported in the service responses. For convenience the response to a request contains a
# "filters.allPassed" field, which is set to false if any of the filters returned values did not meet its specified
# required value.
filters:

  image_to_page_quotient: # Image size to page size ratio (ratio of geometric means of areas)
    min: $MIN_REL_IMAGE_SIZE|0.05  # Minimum permissible
    max: $MAX_REL_IMAGE_SIZE|0.75  # Maximum permissible

  image_width_to_height_quotient:  # Image width to height ratio
    min: $MIN_IMAGE_FORMAT|0.1  # Minimum permissible
    max: $MAX_IMAGE_FORMAT|10  # Maximum permissible

  min_confidence: $MIN_CONFIDENCE|0.5  # Minimum permissible prediction confidence