CODEWITHSUNDEEP
python-3.xtensorflowobject-detection
kaes
kaes

Reputation: 31

solve:AttributeError: module 'tensorflow' has no attribute 'app'

I got an error when I use the code in cmd by using the code:

python generate_tfrecord.py --csv_input=images\train_labels.csv --image_dir=images\train --output_path=train.record""
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 == 'put your selected items':
        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.app.run()

tf.app.run()

The error message got was:

Traceback (most recent call last): File "generate_tfrecord.py", line 102, in tf.app.run()

AttributeError: module 'tensorflow' has no attribute 'app'

Can any one help me?

Upvotes: 3

Views: 11451

Answers (4)

JamesAng
JamesAng

Reputation: 354

use abseil if you don't want to downgrade

from absl import app

if __name__ == '__main__':

    app.run(main)

Upvotes: 1

Varun Singh
Varun Singh

Reputation: 73

just try replacing import tensorflow as tf with import tensorflow.compat.v1 as tf and nothing else, i was facing the same issue .This worked for me.

Upvotes: 0

Bhawna
Bhawna

Reputation: 1

If you downgrade your tensorflow to other version i.e 1.x.

It should work fine then.

Do that by using the command pip install tensorflow==1.7.0

Upvotes: 0

ryan broman
ryan broman

Reputation: 120

If you're using TensorFlow v2, app.run has been moved to tf.compat.v1.app.run, as shown here.

Upvotes: 8

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