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将wiki人脸数据集的性别信息提取出来制作标签

将wiki人脸数据集的性别信息提取出来制作标签

作者: 旧城心生琉璃叶 | 来源:发表于2018-01-22 10:17 被阅读157次
    65462396_p0.jpg
    import scipy.io as scio
    dataFile = 'D:\\Users\\a\\Documents\\Tencent Files\\178026882\\FileRecv\\wiki.mat'
    
    data = scio.loadmat(dataFile)
    # print (type(data))
    a =  (data['wiki'][0][0])
    # print(len(a))
    # print(a[2][0])
    # print('--------------------------------------------')
    # print(a[3])
    lable =[]
    lable_sex =[]
    # print(a[2][0][0])
    for i in range(len(a[2][0])):
        name = a[2][0][i]
        sex = a[3][0][i]
        name = list(name)
        # print(name)
        name_0 = str(name[0])
        # print(type(name_0))
        sex_float = str(sex)
        # print(type(name[0]))
        # print('full_path:',name[0],sex)
        lable.append((name_0,sex_float))
        # print('gender:',sex)
    # print(lable)
    # aaa = []
    # print(lable)
    for i in lable:
        aaa = i
        print(i[0])
        print(i[1])
        with open("lable2.txt", "a") as f:  # 格式化字符串还能这么用!
            f.write(i[0])
            f.write('   ')
            f.write(i[1])
            f.write('\n')
    

    附上wiki数据集相关

    附上自己从wiki.mat中提取出来的标签

    https://pan.baidu.com/s/1dGT6ghV

    再附上wiki的数据集地址

    https://data.vision.ee.ethz.ch/cvl/rrothe/imdb-wiki/

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