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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.
- import numpy as np
- from .base_predictor import BasePaddlePredictor
- class ImagePredictor(BasePaddlePredictor):
- def to_batch(self, imgs):
- return [np.stack(imgs, axis=0).astype(dtype=np.float32, copy=False)]
- def format_output(self, output):
- return [{"pred": np.array(res)} for res in output[0].tolist()]
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