53 lines
1.7 KiB
Python
53 lines
1.7 KiB
Python
# Copyright (c) 2020 PaddlePaddle Authors. All Rights Reserved.
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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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from __future__ import absolute_import
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from __future__ import division
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from __future__ import print_function
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import os
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from scipy import io
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import numpy as np
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from ppocr.utils.e2e_metric.Deteval import combine_results, get_score_C
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class CTMetric(object):
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def __init__(self, main_indicator, delimiter='\t', **kwargs):
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self.delimiter = delimiter
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self.main_indicator = main_indicator
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self.reset()
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def reset(self):
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self.results = [] # clear results
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def __call__(self, preds, batch, **kwargs):
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# NOTE: only support bs=1 now, as the label length of different sample is Unequal
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assert len(
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preds) == 1, "CentripetalText test now only suuport batch_size=1."
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label = batch[2]
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text = batch[3]
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pred = preds[0]['points']
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result = get_score_C(label, text, pred)
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self.results.append(result)
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def get_metric(self):
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"""
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Input format: y0,x0, ..... yn,xn. Each detection is separated by the end of line token ('\n')'
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"""
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metrics = combine_results(self.results, rec_flag=False)
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self.reset()
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return metrics
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