# copyright (c) 2024 PaddlePaddle Authors. All Rights Reserve. # # Licensed under the Apache License, Version 2.0 (the "License"); # you may not use this file except in compliance with the License. # You may obtain a copy of the License at # # http://www.apache.org/licenses/LICENSE-2.0 # # Unless required by applicable law or agreed to in writing, software # distributed under the License is distributed on an "AS IS" BASIS, # WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. # See the License for the specific language governing permissions and # limitations under the License. from typing import Dict, Final, List, Optional, Union from pydantic import BaseModel, Field from typing_extensions import Annotated from ..infra.models import DataInfo, PrimaryOperations from .shared import ocr __all__ = [ "INFER_ENDPOINT", "InferRequest", "LayoutParsingResult", "InferResult", "PRIMARY_OPERATIONS", ] INFER_ENDPOINT: Final[str] = "/layout-parsing" class InferRequest(ocr.BaseInferRequest): useDocOrientationClassify: Optional[bool] = None useDocUnwarping: Optional[bool] = None useTextlineOrientation: Optional[bool] = None useGeneralOcr: Optional[bool] = None useSealRecognition: Optional[bool] = None useTableRecognition: Optional[bool] = None useFormulaRecognition: Optional[bool] = None textDetLimitSideLen: Optional[int] = None textDetLimitType: Optional[str] = None textDetThresh: Optional[float] = None textDetBoxThresh: Optional[float] = None textDetUnclipRatio: Optional[float] = None textRecScoreThresh: Optional[float] = None sealDetLimitSideLen: Optional[int] = None sealDetLimitType: Optional[str] = None sealDetThresh: Optional[float] = None sealDetBoxThresh: Optional[float] = None sealDetUnclipRatio: Optional[float] = None sealRecScoreThresh: Optional[float] = None layoutThreshold: Optional[float] = None layoutNms: Optional[bool] = None layoutUnclipRatio: Optional[ Union[float, Annotated[List[float], Field(min_length=2, max_length=2)]] ] = None layoutMergeBboxesMode: Optional[str] = None class LayoutParsingResult(BaseModel): prunedResult: dict outputImages: Optional[Dict[str, str]] = None inputImage: Optional[str] = None class InferResult(BaseModel): layoutParsingResults: List[LayoutParsingResult] dataInfo: DataInfo PRIMARY_OPERATIONS: Final[PrimaryOperations] = { "infer": (INFER_ENDPOINT, InferRequest, InferResult), }