Texterkennung¶

from __future__ import annotations
import logging
from typing import Any, TYPE_CHECKING

MODULE_TYPE = 'OCRService'

if TYPE_CHECKING:
    import numpy.typing as npt


class ExampleOCR:

    def __init__(self):
        """
        The service can be created when *GetOCRService(serviceId)* is called on the internal
        multimedia API, where *serviceId* is the identifier returned by *GetServiceId()*.
        Further, if the service is selected in the test configuration's media access tab,
        the class is instantiated
        - when an image is compared to a string during evaluation in image read and
        - when GetDefaultOCRService() is called on the Multimedia API via
            *api.Multimedia.GetDefaultOCRService()*.
        """
        self.ocrMode = 'dummy'
        self.canDetectText = False
        self.threshold = 0.4

    @staticmethod
    def GetServiceId() -> str:
        """
        The identifier of the OCR service as displayed in the test configuration's media access tab
        and used to create service via the multimedia api (see __init__).

        :return: Identifier of the service
        """
        return 'ExampleOCR'

    def ImageToText(self, img: npt.NDArray) -> str:
        """
        Converts the image to a string representation, e.g. by concatenating all found text in
        lexicographic order.

        :param img: Numpy image (width x height x channels)
        :return: String representation of the image
        """
        height, width = img.shape[:2]
        return f'The image has dimension ({height}, {width}) and maybe some text.'

    def FindTextPositions(self, img: npt.NDArray) -> list[dict[str, int | float | str]]:
        """
        Returns a list of all text matches found in the image.
        Each text match is a dictionary that must contain information about
        - its location in terms of a bounding box with upper left corner (x,y) and
          dimensions (width, height),
        - its content (text) and
        - the confidence of the individual match (confidence).

        :param img: Numpy image (width x height x channels)
        :return: List of dictionaries describing all text matches
        """
        h, w, __ = img.shape
        return [
            {
                'x': int(w / 4.0),
                'y': int(h / 4.0),
                'width': int(w / 2),
                'height': int(h / 2),
                'text': 'Some large imaginary text in the middle of the image.',
                'confidence': 0.42,
            }
        ]

    def GetAvailableParameters(self) -> list[dict[str, Any]]:
        """
        Returns a list of all configureable parameters. Each parameter must be described by a unique
        name and a default value. A short description is optional and will be displayed in a
        configuration dialog (tcf, media access tab).

        :return: List of all available paramters
        """
        return [
            {
                'name': 'ocrMode',
                'default': 'dummy',
                'description': 'This text describes what can or cannot be done.'
            },
            {
                'name': 'canDetectText',
                'default': False
            },
            {
                'name': 'threshold',
                'default': 0.5,
                'description': 'Matches with confidence below this value are ignored.'
            },
        ]

    def GetParameter(self, name: str) -> Any:
        """
        Returns the value of the parameter addressed by name.

        :param name: Name of the parameter
        :return: Value of parameter addressed by name
        """
        try:
            return getattr(self, name)
        except AttributeError:
            logging.getLogger('ecu.test').info(
                '{}: No such parameter: {}'.format(self.GetServiceId(), name)
            )

    def SetParameter(self, name: str, value: Any) -> None:
        """
        Sets the value of the parameter addressed by name.

        :param name: Name of the parameter
        :param value: Value of the parameter
        """
        if hasattr(self, name):
            setattr(self, name, value)
        else:
            logging.getLogger('ecu.test').info(
                '{}: No such parameter: {}'.format(self.GetServiceId(), name)
            )