PaddleOCR/ppocr/postprocess/pg_postprocess.py

53 lines
1.8 KiB
Python

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