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@@ -16,8 +16,12 @@ def unpickle(file):
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return dict
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-train_dic = './dataset/CIFAR-10/train/'
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-test_dic = './dataset/CIFAR-10/test/'
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+# 定义解压后batch文件夹
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+file_dir = './dataset/CIFAR-10/cifar-10-batches-py'
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+dataset_dir = './dataset/CIFAR-10'
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+train_dic = f'{dataset_dir}/train/'
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+test_dic = f'{dataset_dir}/test/'
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+
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# 判断文件夹是否存在,不存在的话创建文件夹
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if not os.path.exists(train_dic):
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os.mkdir(train_dic)
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@@ -63,10 +67,15 @@ def cifar10_img(file_dir):
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print('Finish transforming to image')
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# 处理描述文件
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- # meta_name = file_dir + '/' + 'batches.meta'
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- # meta_dict = unpickle(meta_name)
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- # label_names = [str(item) for item in meta_dict[b'label_names']]
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- # print(meta_name + ' is done')
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+ meta_name = file_dir + '/' + 'batches.meta'
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+ meta_dict = unpickle(meta_name)
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+ label_names = [str(item) for item in meta_dict[b'label_names']]
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+ print(meta_name + ' is done')
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+ f = open(f'{dataset_dir}/class.txt', 'w') # 创建类型描述文件
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+ for label_name in label_names:
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+ line = label_name + '\n'
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+ f.write(line)
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+ f.close()
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def gen_label_txt(label_txt_path, img_dir):
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@@ -92,15 +101,9 @@ def write_class_list(classes, class_txt_path):
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if __name__ == '__main__':
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- # 定义解压后batch文件夹
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- file_dir = './dataset/CIFAR-10/cifar-10-batches-py'
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- dataset_dir = './dataset/CIFAR-10'
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- train_txt = dataset_dir + '/train.txt'
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- test_txt = dataset_dir + '/test.txt'
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-
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# 处理解压后文件
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cifar10_img(file_dir)
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# 生成标签文件
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- gen_label_txt(train_txt, train_dic)
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- gen_label_txt(test_txt, test_dic)
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+ gen_label_txt(dataset_dir + '/train.txt', train_dic)
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+ gen_label_txt(dataset_dir + '/test.txt', test_dic)
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