107 lines
3.8 KiB
Python
Executable File
107 lines
3.8 KiB
Python
Executable File
#copyright (c) 2020 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 os
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import math
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import random
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import functools
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import numpy as np
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import cv2
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import string
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from ppocr.utils.utility import initial_logger
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logger = initial_logger()
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from ppocr.utils.utility import create_module
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from ppocr.utils.utility import get_image_file_list
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import time
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class TrainReader(object):
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def __init__(self, params):
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self.num_workers = params['num_workers']
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self.label_file_path = params['label_file_path']
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self.batch_size = params['train_batch_size_per_card']
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assert 'process_function' in params,\
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"absence process_function in Reader"
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self.process = create_module(params['process_function'])(params)
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def __call__(self, process_id):
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def sample_iter_reader():
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with open(self.label_file_path, "rb") as fin:
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label_infor_list = fin.readlines()
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img_num = len(label_infor_list)
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img_id_list = list(range(img_num))
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random.shuffle(img_id_list)
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for img_id in range(process_id, img_num, self.num_workers):
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label_infor = label_infor_list[img_id_list[img_id]]
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outs = self.process(label_infor)
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if outs is None:
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continue
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yield outs
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def batch_iter_reader():
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batch_outs = []
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for outs in sample_iter_reader():
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batch_outs.append(outs)
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if len(batch_outs) == self.batch_size:
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yield batch_outs
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batch_outs = []
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if len(batch_outs) != 0:
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yield batch_outs
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return batch_iter_reader
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class EvalTestReader(object):
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def __init__(self, params):
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self.params = params
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assert 'process_function' in params,\
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"absence process_function in EvalTestReader"
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def __call__(self, mode):
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process_function = create_module(self.params['process_function'])(
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self.params)
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batch_size = self.params['test_batch_size_per_card']
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img_list = []
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if mode != "test":
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img_set_dir = self.params['img_set_dir']
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img_name_list_path = self.params['label_file_path']
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with open(img_name_list_path, "rb") as fin:
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lines = fin.readlines()
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for line in lines:
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img_name = line.decode().strip("\n").split("\t")[0]
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img_path = img_set_dir + "/" + img_name
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img_list.append([img_path, img_name])
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else:
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img_path = self.params['single_img_path']
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img_list = get_image_file_list(img_path)
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def batch_iter_reader():
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batch_outs = []
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for img_path, img_name in img_list:
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img = cv2.imread(img_path)
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if img is None:
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logger.info("load image error:" + img_path)
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continue
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outs = process_function(img)
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outs.append(img_name)
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batch_outs.append(outs)
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if len(batch_outs) == batch_size:
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yield batch_outs
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batch_outs = []
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if len(batch_outs) != 0:
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yield batch_outs
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return batch_iter_reader
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