如何解决如何修复无法创建 NewWriteableFile?
我有一段用于生成 tfrecord 的代码:
from __future__ import division
from __future__ import print_function
from __future__ import absolute_import
import os
import io
import pandas as pd
import tensorflow.compat.v1 as tf
from PIL import Image
from object_detection.utils import dataset_util
from collections import namedtuple,OrderedDict
flags = tf.app.flags
flags.DEFINE_string('csv_input','','Path to the CSV input')
flags.DEFINE_string('image_dir','Path to the image directory')
flags.DEFINE_string('output_path','Path to output TFRecord')
FLAGS = flags.FLAGS
# TO-DO replace this with label map
def class_text_to_int(row_label):
if row_label == '0':
return 0
if row_label == '1':
return 1
if row_label == '2':
return 2
if row_label == '3':
return 3
if row_label == '4':
return 4
if row_label == '5':
return 5
if row_label == '6':
return 6
if row_label == '7':
return 7
if row_label == '8':
return 8
if row_label == '9':
return 9
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(os.getcwd(),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()
它返回这个错误:
tensorflow.python.framework.errors_impl.NotFoundError: Failed to create a NewWriteableFile:: 系统找不到指定的路径。 ;没有这个过程
我尝试像这样插入完整路径:
flags.DEFINE_string('csv_input','D:/abd_train/CAPTCHA_images/test_labels.csv')
flags.DEFINE_string('image_dir','D:/abd_train/CAPTCHA_images/test')
flags.DEFINE_string('output_path','D:/abd_train/CAPTCHA_images/test.record') 但仍然得到同样的错误!
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