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https://github.com/PaddlePaddle/PaddleOCR.git
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53 lines
1.8 KiB
Python
53 lines
1.8 KiB
Python
# Copyright (c) 2021 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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import sys
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__dir__ = os.path.dirname(__file__)
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sys.path.append(__dir__)
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sys.path.append(os.path.join(__dir__, '..'))
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from ppocr.utils.e2e_utils.pgnet_pp_utils import PGNet_PostProcess
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class PGPostProcess(object):
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"""
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The post process for PGNet.
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"""
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def __init__(self, character_dict_path, valid_set, score_thresh, mode,
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**kwargs):
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self.character_dict_path = character_dict_path
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self.valid_set = valid_set
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self.score_thresh = score_thresh
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self.mode = mode
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# c++ la-nms is faster, but only support python 3.5
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self.is_python35 = False
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if sys.version_info.major == 3 and sys.version_info.minor == 5:
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self.is_python35 = True
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def __call__(self, outs_dict, shape_list):
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post = PGNet_PostProcess(self.character_dict_path, self.valid_set,
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self.score_thresh, outs_dict, shape_list)
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if self.mode == 'fast':
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data = post.pg_postprocess_fast()
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else:
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data = post.pg_postprocess_slow()
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return data
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