76 lines
2.5 KiB
Python
76 lines
2.5 KiB
Python
import os
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import struct
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import pickle
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import threading
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import numpy as np
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from PIL import Image
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# 处理单个gnt文件获取图像与标签
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def read_from_gnt_dir(gnt_dir):
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def one_file(f):
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header_size = 10
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while True:
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header = np.fromfile(f, dtype='uint8', count=header_size)
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if not header.size:
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break
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sample_size = header[0] + (header[1] << 8) + (header[2] << 16) + (header[3] << 24)
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label = header[5] + (header[4] << 8)
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width = header[6] + (header[7] << 8)
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height = header[8] + (header[9] << 8)
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if header_size + width * height != sample_size:
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break
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image = np.fromfile(f, dtype='uint8', count=width * height).reshape((height, width))
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yield image, label
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for file_name in os.listdir(gnt_dir):
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if file_name.endswith('.gnt'):
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file_path = os.path.join(gnt_dir, file_name)
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with open(file_path, 'rb') as f:
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for image, label in one_file(f):
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yield image, label
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def gnt_to_img(gnt_dir, img_dir):
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counter = 0
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for image, label in read_from_gnt_dir(gnt_dir=gnt_dir):
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label = struct.pack('>H', label).decode('gb2312')
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img = Image.fromarray(image)
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dir_name = os.path.join(img_dir, '%0.5d' % char_dict[label])
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if not os.path.exists(dir_name):
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os.mkdir(dir_name)
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img.convert('RGB').save(dir_name + '/' + str(counter) + '.png')
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print("train_counter=", counter)
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counter += 1
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# 路径
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data_dir = './data'
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train_gnt_dir = os.path.join(data_dir, 'HWDB1.1trn_gnt')
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test_gnt_dir = os.path.join(data_dir, 'HWDB1.1tst_gnt')
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train_img_dir = os.path.join(data_dir, 'train')
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test_img_dir = os.path.join(data_dir, 'test')
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if not os.path.exists(train_img_dir):
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os.mkdir(train_img_dir)
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if not os.path.exists(test_img_dir):
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os.mkdir(test_img_dir)
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# 获取字符集合
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char_set = set()
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for _, tagcode in read_from_gnt_dir(gnt_dir=test_gnt_dir):
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tagcode_unicode = struct.pack('>H', tagcode).decode('gb2312')
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char_set.add(tagcode_unicode)
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char_list = list(char_set)
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char_dict = dict(zip(sorted(char_list), range(len(char_list))))
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print(len(char_dict))
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print("char_dict=", char_dict)
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with open('char_dict', 'wb') as f:
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pickle.dump(char_dict, f)
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train_thread = threading.Thread(target=gnt_to_img, args=(train_gnt_dir, train_img_dir)).start()
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test_thread = threading.Thread(target=gnt_to_img, args=(test_gnt_dir, test_img_dir)).start()
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train_thread.join()
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test_thread.join()
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