sinch.domains.conversation.models.v1.sinch_events.smart_conversations.document_image_classification module

class sinch.domains.conversation.models.v1.sinch_events.smart_conversations.document_image_classification.DocumentImageClassification(
*,
doc_type: Annotated[str, Strict(strict=True)] | None = None,
confidence: Annotated[float, Strict(strict=True)] | Annotated[int, Strict(strict=True)] | None = None,
**extra_data: Any,
)[source]

Bases: SinchEvent

An object that identifies a document type within the image, along with a confidence level for that document type.

Parameters:

  • doc_type (Annotated[str, Strict(strict=True)] | None)

  • confidence (Annotated[float, Strict(strict=True)] | Annotated[int, Strict(strict=True)] | None)

  • extra_data (Any)

doc_type: Annotated[str, Strict(strict=True)] | None
confidence: Annotated[float, Strict(strict=True)] | Annotated[int, Strict(strict=True)] | None
model_config = {'extra': 'allow', 'populate_by_name': True}

Configuration for the model, should be a dictionary conforming to [ConfigDict][pydantic.config.ConfigDict].

model_post_init(
_SnakifyExtrasOnInit__context: Any,
) → None

Marks applied non-None defaults as set.

Parameters:

_SnakifyExtrasOnInit__context (Any)

Return type:

None