29 lines
1.3 KiB
YAML
29 lines
1.3 KiB
YAML
webserver:
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host: $SERVER_HOST|"127.0.0.1" # webserver address
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port: $SERVER_PORT|5000 # webserver port
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mode: $SERVER_MODE|production # webserver mode: {development, production}
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service:
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logging_level: $LOGGING_LEVEL_ROOT|DEBUG # Logging level for service logger
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batch_size: $BATCH_SIZE|2 # Number of images in memory simultaneously
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verbose: $VERBOSE|True # Service prints document processing progress to stdout
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run_id: $RUN_ID|fabfb1f192c745369b88cab34471aba7 # The ID of the mlflow run to load the model from
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# These variables control filters that are applied to either images, image metadata or model predictions. The filter
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# result values are reported in the service responses. For convenience the response to a request contains a
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# "filters.allPassed" field, which is set to false if any of the filters returned values did not meet its specified
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# required value.
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filters:
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image_to_page_quotient: # Image size to page size ratio (ratio of geometric means of areas)
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min: $MIN_REL_IMAGE_SIZE|0.05 # Minimum permissible
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max: $MAX_REL_IMAGE_SIZE|0.75 # Maximum permissible
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image_width_to_height_quotient: # Image width to height ratio
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min: $MIN_IMAGE_FORMAT|0.1 # Minimum permissible
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max: $MAX_IMAGE_FORMAT|10 # Maximum permissible
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min_confidence: $MIN_CONFIDENCE|0.5 # Minimum permissible prediction confidence
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