尝试使用旧的 Tensorflow 记录脚本获取 AttributeError：模块“tensorflow”没有属性“python_io”

如何解决尝试使用旧的 Tensorflow 记录脚本获取 AttributeError：模块“tensorflow”没有属性“python_io”

"""
Usage:
  # From tensorflow/models/
  # Create train data:
  python generate_tfrecord.py --csv_input=data/train_labels.csv  --output_path=train.record
  # Create test data:
  python generate_tfrecord.py --csv_input=data/test_labels.csv  --output_path=test.record
"""
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import

import os
import io
import pandas as pd
import tensorflow as tf

from PIL import Image
from object_detection.utils import dataset_util
from collections import namedtuple,OrderedDict

flags = tf.compat.v1.flags
flags.DEFINE_string('csv_input','','Path to the CSV input')
flags.DEFINE_string('output_path','Path to output TFRecord')
flags.DEFINE_string('image_dir','Path to images')
FLAGS = flags.FLAGS


# TO-DO replace this with label map
def class_text_to_int(row_label):
    if row_label == 'raccoon':
        return 1
    else:
        None


def split(df,group):
    data = namedtuple('data',['filename','object'])
    gb = df.groupby(group)
    return [data(filename,gb.get_group(x)) for filename,x in zip(gb.groups.keys(),gb.groups)]


def create_tf_example(group,path):
    with tf.gfile.GFile(os.path.join(path,'{}'.format(group.filename)),'rb') as fid:
        encoded_jpg = fid.read()
    encoded_jpg_io = io.BytesIO(encoded_jpg)
    image = Image.open(encoded_jpg_io)
    width,height = image.size

    filename = group.filename.encode('utf8')
    image_format = b'jpg'
    xmins = []
    xmaxs = []
    ymins = []
    ymaxs = []
    classes_text = []
    classes = []

    for index,row in group.object.iterrows():
        xmins.append(row['xmin'] / width)
        xmaxs.append(row['xmax'] / width)
        ymins.append(row['ymin'] / height)
        ymaxs.append(row['ymax'] / height)
        classes_text.append(row['class'].encode('utf8'))
        classes.append(class_text_to_int(row['class']))

    tf_example = tf.train.Example(features=tf.train.Features(feature={
        'image/height': dataset_util.int64_feature(height),'image/width': dataset_util.int64_feature(width),'image/filename': dataset_util.bytes_feature(filename),'image/source_id': dataset_util.bytes_feature(filename),'image/encoded': dataset_util.bytes_feature(encoded_jpg),'image/format': dataset_util.bytes_feature(image_format),'image/object/bBox/xmin': dataset_util.float_list_feature(xmins),'image/object/bBox/xmax': dataset_util.float_list_feature(xmaxs),'image/object/bBox/ymin': dataset_util.float_list_feature(ymins),'image/object/bBox/ymax': dataset_util.float_list_feature(ymaxs),'image/object/class/text': dataset_util.bytes_list_feature(classes_text),'image/object/class/label': dataset_util.int64_list_feature(classes),}))
    return tf_example


def main(_):
    writer = tf.python_io.TFRecordWriter(FLAGS.output_path)
    path = os.path.join(FLAGS.image_dir)
    examples = pd.read_csv(FLAGS.csv_input)
    grouped = split(examples,'filename')
    for group in grouped:
        tf_example = create_tf_example(group,path)
        writer.write(tf_example.SerializetoString())

    writer.close()
    output_path = os.path.join(os.getcwd(),FLAGS.output_path)
    print('Successfully created the TFRecords: {}'.format(output_path))


if __name__ == '__main__':
    tf.compat.v1.app.run()

这是我一直在尝试运行的脚本。最后一行一直不起作用，直到我将其更正为 tf.compat.v1.APP.run() 而不仅仅是 tf.compat.v1.run()。整理完之后，我现在得到了一个不同的错误，下面列出了对程序的调用作为第一行。

python3 generate_tfrecord.py
2021-04-06 22:06:12.343250: W tensorflow/stream_executor/platform/default/dso_loader.cc:60] Could not load dynamic library 'libcudart.so.11.0'; dlerror: libcudart.so.11.0: cannot open shared object file: No such file or directory
2021-04-06 22:06:12.343311: I tensorflow/stream_executor/cuda/cudart_stub.cc:29] Ignore above cudart dlerror if you do not have a GPU set up on your machine.
Traceback (most recent call last):
  File "generate_tfrecord.py",line 99,in <module>
    tf.compat.v1.app.run()
  File "/home/michael/.local/lib/python3.8/site-packages/tensorflow/python/platform/app.py",line 40,in run
    _run(main=main,argv=argv,flags_parser=_parse_flags_tolerate_undef)
  File "/home/michael/.local/lib/python3.8/site-packages/absl/app.py",line 303,in run
    _run_main(main,args)
  File "/home/michael/.local/lib/python3.8/site-packages/absl/app.py",line 251,in _run_main
    sys.exit(main(argv))
  File "generate_tfrecord.py",line 85,in main
    writer = tf.python_io.TFRecordWriter(FLAGS.output_path)
AttributeError: module 'tensorflow' has no attribute 'python_io'

我对这方面的所有事情都遇到了问题。我之前没有使用过 tensorflow，我真的不知道这个脚本应该做什么，我只是想运行一个旧脚本来获取我的图像加上我的 labelImg 坐标并将它们捆绑到 tfrecords 中。我也只是愿意使用一个在没有兼容性更改的情况下实际工作的脚本。再次感谢，如果有任何我可以帮助的问题，请告诉我，以便您了解正在发生的所有事情！