37 lines
1.4 KiB
Python
37 lines
1.4 KiB
Python
# copyright (c) 2022 PaddlePaddle Authors. All Rights Reserve.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import paddle.nn.functional as F
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class ThreshOutput(object):
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def __init__(self, threshold, label_0="0", label_1="1"):
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self.threshold = threshold
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self.label_0 = label_0
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self.label_1 = label_1
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def __call__(self, x, file_names=None):
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y = []
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x = F.softmax(x, axis=-1).numpy()
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for idx, probs in enumerate(x):
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score = probs[1]
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if score < self.threshold:
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result = {"class_ids": [0], "scores": [1 - score], "label_names": [self.label_0]}
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else:
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result = {"class_ids": [1], "scores": [score], "label_names": [self.label_1]}
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if file_names is not None:
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result["file_name"] = file_names[idx]
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y.append(result)
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return y
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