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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 os
- import numpy as np
- from pathlib import Path
- from ...base import BasePredictor
- from ...base.predictor.transforms import image_common
- from .keys import ClsKeys as K
- from .utils import InnerConfig
- from ....utils import logging
- from . import transforms as T
- from .predictor import ClsPredictor
- from ..model_list import ML_MODELS
- class MLClsPredictor(ClsPredictor, BasePredictor):
- """ MLClssification Predictor """
- entities = ML_MODELS
- def _get_post_transforms_from_config(self):
- """ get postprocess transforms """
- post_transforms = self.other_src.post_transforms
- post_transforms.extend([
- T.PrintResult(), T.SaveMLClsResults(self.output,
- self.other_src.labels)
- ])
- return post_transforms
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