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- # Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
- #
- # 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 Final, List, Optional
- from pydantic import BaseModel
- from ..infra.models import PrimaryOperations
- from .shared import image_segmentation
- __all__ = [
- "INFER_ENDPOINT",
- "InferRequest",
- "MaskInfo",
- "InferResult",
- "PRIMARY_OPERATIONS",
- ]
- INFER_ENDPOINT: Final[str] = "/open-vocabulary-segmentation"
- class InferRequest(BaseModel):
- image: str
- prompt: List[List[float]]
- promptType: str
- visualize: Optional[bool] = None
- class MaskInfo(BaseModel):
- label: str
- prompt: List[float]
- class InferResult(BaseModel):
- masks: List[image_segmentation.Mask]
- maskInfos: List[MaskInfo]
- image: Optional[str] = None
- PRIMARY_OPERATIONS: Final[PrimaryOperations] = {
- "infer": (INFER_ENDPOINT, InferRequest, InferResult),
- }
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