sparkocr.transformers.visual_document_processor#

Classes#

class VisualDocumentProcessor#

Bases: pyspark.ml.Transformer, pyspark.ml.param.shared.HasInputCol, pyspark.ml.param.shared.HasOutputCols, sparkocr.transformers.params.HasOcr

Visual document processor that produces OCR text and tables in different format

downloadModelData#

freeTextOnly#

inputCol :Param[str]#

language#

modelData#

modelType#

ocrEngine#

ocrEngineMode#

outputCols :Param[List[str]]#

outputFormat#

outputTableFormat#

pageIteratorLevel#

pageSegMode#

uid = ''#

useTess4j#

clear(param: Param) → None#

Clears a param from the param map if it has been explicitly set.

copy(extra: pyspark.ml._typing.ParamMap | None = None) → P#

Creates a copy of this instance with the same uid and some extra params. The default implementation creates a shallow copy using copy.copy(), and then copies the embedded and extra parameters over and returns the copy. Subclasses should override this method if the default approach is not sufficient.

Parameters:

extra (dict, optional) – Extra parameters to copy to the new instance

Returns:

Copy of this instance

Return type:

Params

explainParam(param: str | Param) → str#

Explains a single param and returns its name, doc, and optional default value and user-supplied value in a string.

explainParams() → str#

Returns the documentation of all params with their optionally default values and user-supplied values.

extractParamMap(extra: pyspark.ml._typing.ParamMap | None = None) → pyspark.ml._typing.ParamMap#

Extracts the embedded default param values and user-supplied values, and then merges them with extra values from input into a flat param map, where the latter value is used if there exist conflicts, i.e., with ordering: default param values < user-supplied values < extra.

Parameters:

extra (dict, optional) – extra param values

Returns:

merged param map

Return type:

dict

getInputCol() → str#

Gets the value of inputCol or its default value.

getOrDefault(param: str) → Any#

getOrDefault(param: Param[T]) → T

Gets the value of a param in the user-supplied param map or its default value. Raises an error if neither is set.

getOutputCols() → List[str]#

Gets the value of outputCols or its default value.

getParam(paramName: str) → Param#

Gets a param by its name.

hasDefault(param: str | Param[Any]) → bool#

Checks whether a param has a default value.

hasParam(paramName: str) → bool#

Tests whether this instance contains a param with a given (string) name.

isDefined(param: str | Param[Any]) → bool#

Checks whether a param is explicitly set by user or has a default value.

isSet(param: str | Param[Any]) → bool#

Checks whether a param is explicitly set by user.

process_image(image, exception)#

set(param: Param, value: Any) → None#

Sets a parameter in the embedded param map.

setDownloadModelData(value)#

Sets the value of downloadModelData.

setFreeTextOnly(value)#

Sets the value of freeTextOnly.

setInputCol(value)#

Sets the value of inputCol.

setLanguage(value)#

Sets the value of language.

setModelData(value)#

Sets the value of modelData.

setModelType(value)#

Sets the value of modelData.

setOcrEngine(value)#

Sets the value of ocrEngine.

setOcrEngineMode(value)#

Sets the value of ocrEngineMode.

setOutputCols(value)#

Sets the value of outputCol.

setOutputFormat(value)#

Sets the value of outputFormat.

setOutputTableFormat(value)#

Sets the value of outputTableFormat.

setPageIteratorLevel(value)#

Sets the value of pageIteratorLevel.

setPageSegMode(value)#

Sets the value of pageSegMode.

setUseTess4j(value)#

Sets the value of useTess4j.

transform(dataset: pyspark.sql.dataframe.DataFrame, params: pyspark.ml._typing.ParamMap | None = None) → pyspark.sql.dataframe.DataFrame#

Transforms the input dataset with optional parameters.

New in version 1.3.0.

Parameters:

• dataset (pyspark.sql.DataFrame) – input dataset

• params (dict, optional) – an optional param map that overrides embedded params.

Returns:

transformed dataset

Return type:

pyspark.sql.DataFrame