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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 DetPipeline(BasePipeline):
- """Det Pipeline"""
- entities = "object_detection"
- def __init__(self, model, batch_size=1, device="gpu", predictor_kwargs=None):
- super().__init__(predictor_kwargs)
- self._predict = self._create_predictor(
- model, batch_size=batch_size, device=device
- )
- def predict(self, x):
- self._check_input(x)
- yield from self._predict(x)
- def _check_input(self, x):
- pass
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