gingerbread.central_processing_handler package

Subpackages

• gingerbread.central_processing_handler.config package
  • Submodules
  • gingerbread.central_processing_handler.config.config module
  • gingerbread.central_processing_handler.config.exceptions module
    • CentralProcessingInitModelsError
    • CentralProcessingPostprocessImageError
    • CentralProcessingPredictImageError
    • CentralProcessingPreprocessImageError
    • CentralProcessingProcessImageError
    • DatabaseLoadError
    • DatabasePrepareRecordError
    • DatabaseUploadError
    • RealtimeProcessError
  • Module contents
• gingerbread.central_processing_handler.sql package
  • Module contents
• gingerbread.central_processing_handler.utils package
  • Submodules
  • gingerbread.central_processing_handler.utils.db_helpers module
    • correct_label_format()
    • generate_cls_meta_records()
    • generate_cls_predicted_table_records()
    • generate_cls_records()
    • generate_cls_version_records()
    • generate_imported_records()
    • generate_mask_meta_table()
    • generate_mask_records()
    • generate_mask_table_records()
    • generate_mask_version_records()
    • generate_meta_records()
    • generate_pastel_color()
    • generate_project_series_meta_records()
    • generate_thumb_mask_version_records()
    • prepare_for_classification_upload()
    • prepare_for_segmentation_upload()
    • upload_to_mq()
  • gingerbread.central_processing_handler.utils.helpers module
    • copy_obj()
    • decode_payload()
    • decode_weights_pickled()
    • encode_payload()
    • encode_weights()
    • get_img_info()
    • hash_function()
    • nested_dict()
    • str2bool()
    • timer()
  • Module contents

Submodules

gingerbread.central_processing_handler.central_processing_handler module

class gingerbread.central_processing_handler.central_processing_handler.CentralProcessingHandler

Bases: object

generate_analytics(postproc: ndarray, resolution: ndarray) → Dict[str, float]

Postprocessing analytics function for the model :param postproc: input prediction :type postproc: np.ndarray

Returns:

analytics data

Return type:

Dict[str, float]

init_model_from_mq() → None

Load the model from MQ

Return type:

NoReturn

invalidate_cache()

kill_models()

start_processing(data: ndarray, extras: Dict[str, Any] = {}, montecarlo_loop: int = 1, weights_ensemble: bool = False) → Dict[str, ndarray | Dict[str, str | int | List[float]] | Dict[str, str | Dict[int, List[float]]]]

This function is used to start the processing of the data.

Parameters:

• data (np.ndarray) – The data to be processed. THIS NEEDS TO BE (C, D, H, W) or (C, H, W)

• extras (Dict[str, Any]) – Any extra data that is needed for the processing.

• montecarlo_loop (int) – The number of times the data should be processed. If not specified, it will be 1 by default which means the data will be processed only once.

• weights_ensemble (bool) – The weights of the model to be used for processing. If not specified, the weights will be fetched from MQ.

Returns:

result – The processed data. (C, D, H, W) or (C, H, W)

Return type:

np.ndarray

Module contents