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115 lines
4.4 KiB
Python
115 lines
4.4 KiB
Python
# copyright (c) 2021 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 numpy as np
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import os
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import random
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from paddle.io import Dataset
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import json
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from .imaug import transform, create_operators
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class PubTabDataSet(Dataset):
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def __init__(self, config, mode, logger, seed=None):
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super(PubTabDataSet, self).__init__()
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self.logger = logger
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global_config = config['Global']
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dataset_config = config[mode]['dataset']
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loader_config = config[mode]['loader']
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label_file_path = dataset_config.pop('label_file_path')
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self.data_dir = dataset_config['data_dir']
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self.do_shuffle = loader_config['shuffle']
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self.do_hard_select = False
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if 'hard_select' in loader_config:
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self.do_hard_select = loader_config['hard_select']
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self.hard_prob = loader_config['hard_prob']
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if self.do_hard_select:
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self.img_select_prob = self.load_hard_select_prob()
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self.table_select_type = None
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if 'table_select_type' in loader_config:
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self.table_select_type = loader_config['table_select_type']
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self.table_select_prob = loader_config['table_select_prob']
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self.seed = seed
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logger.info("Initialize indexs of datasets:%s" % label_file_path)
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with open(label_file_path, "rb") as f:
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self.data_lines = f.readlines()
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self.data_idx_order_list = list(range(len(self.data_lines)))
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if mode.lower() == "train":
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self.shuffle_data_random()
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self.ops = create_operators(dataset_config['transforms'], global_config)
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ratio_list = dataset_config.get("ratio_list", [1.0])
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self.need_reset = True in [x < 1 for x in ratio_list]
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def shuffle_data_random(self):
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if self.do_shuffle:
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random.seed(self.seed)
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random.shuffle(self.data_lines)
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return
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def __getitem__(self, idx):
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try:
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data_line = self.data_lines[idx]
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data_line = data_line.decode('utf-8').strip("\n")
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info = json.loads(data_line)
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file_name = info['filename']
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select_flag = True
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if self.do_hard_select:
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prob = self.img_select_prob[file_name]
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if prob < random.uniform(0, 1):
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select_flag = False
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if self.table_select_type:
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structure = info['html']['structure']['tokens'].copy()
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structure_str = ''.join(structure)
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table_type = "simple"
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if 'colspan' in structure_str or 'rowspan' in structure_str:
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table_type = "complex"
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if table_type == "complex":
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if self.table_select_prob < random.uniform(0, 1):
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select_flag = False
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if select_flag:
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cells = info['html']['cells'].copy()
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structure = info['html']['structure'].copy()
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img_path = os.path.join(self.data_dir, file_name)
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data = {
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'img_path': img_path,
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'cells': cells,
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'structure': structure
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}
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if not os.path.exists(img_path):
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raise Exception("{} does not exist!".format(img_path))
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with open(data['img_path'], 'rb') as f:
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img = f.read()
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data['image'] = img
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outs = transform(data, self.ops)
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else:
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outs = None
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except Exception as e:
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self.logger.error(
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"When parsing line {}, error happened with msg: {}".format(
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data_line, e))
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outs = None
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if outs is None:
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return self.__getitem__(np.random.randint(self.__len__()))
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return outs
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def __len__(self):
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return len(self.data_idx_order_list)
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