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- # 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 .base import BasePipeline
- class SingleModelPipeline(BasePipeline):
- entities = [
- "image_classification",
- "object_detection",
- "instance_segmentation",
- "semantic_segmentation",
- "ts_fc",
- "ts_ad",
- "ts_cls",
- "multi_label_image_classification",
- "small_object_detection" "anomaly_detection",
- ]
- def __init__(self, model, predictor_kwargs=None):
- super().__init__(predictor_kwargs)
- self.model = self._create_model(model)
- def predict(self, input, **kwargs):
- yield from self.model(input, **kwargs)
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