Files
crnn_plate_recognition/lib/utils/preprocessing.py
2022-10-03 09:14:38 +08:00

35 lines
1.2 KiB
Python

'''
360万中文训练集标签修改
'''
# chinese characters dictionary for 3.6 million data set.
with open('../char_std_5990.txt', 'rb') as file:
char_dict = {num : char.strip().decode('gbk','ignore') for num, char in enumerate(file.readlines())}
# processing output
with open('../test.txt') as file:
value_list = ['%s %s'%(segment_list.split(' ')[0], ''.join([char_dict[int(val)] for val in segment_list[:-1].split(' ')[1:]])) for segment_list in file.readlines()]
# final output
with open('test.txt', 'w', encoding='utf-8') as file:
[file.write(val+'\n') for val in value_list]
'''
orginal version
'''
# with open('../char_std_5990.txt', 'rb') as file:
# char_dict = {num : char.strip().decode('gbk','ignore') for num, char in enumerate(file.readlines())}
# value_list = []
# with open('../test.txt') as file:
# label_list = file.readlines()
# for segment_list in label_list:
# key = segment_list.split(' ')[0]
# segment_list = segment_list[:-1].split(' ')[1:]
# temp = [char_dict[int(val)] for val in segment_list]
# value_list.append('%s %s'%(key, ''.join(temp)))
# with open('test.txt', 'w', encoding='utf-8') as file:
# [ file.write(val+'\n') for val in value_list]