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# Copyright (c) 2020 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 List, Tuple
import numpy as np
class ClsPostProcess:
def __init__(self, label_list: List[str]):
self.label_list = label_list
def __call__(self, preds: np.ndarray) -> List[Tuple[str, float]]:
pred_idxs = preds.argmax(axis=1)
decode_out = [
(self.label_list[idx], preds[i, idx]) for i, idx in enumerate(pred_idxs)
]
return decode_out
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