python - 苹果系统; Python3； FileNotFoundError : [Errno 2] No such file or directory: '' . 如何修复？

Question

我对 Python 很陌生，并尝试启动脚本

convert_to_tfrecord.py

(神经网络；它应该使用一些库训练图像数据集......)

说明:

Now you’re ready to run the TFRecord script. Run the command below from the tensorflow/models/research directory, and pass it the following flags (run it twice: once for training data, once for test data):

python convert_labels_to_tfrecords.py \
--output_path=train.record \ 
--images_dir=path/to/your/training/images/ \
--labels_dir=path/to/training/label/xml/

为了适合我的 OS X，我通过 python3 运行了这个脚本...更改了脚本的名称...并设置了一个目录...我位于我的脚本所在的目录；我的文件夹在哪里；我的图书馆在哪里。所以就我而言:

python3 convert_to_tfrecord.py \
--output_path=train.record \ 
--images_dir=ENFj/ \
--labels_dir=ENFj/xml/

结果:

Oleksandrs-MacBook-Air:research jaskier$ python3 convert_to_tfrecord.py \
> --output_path=train.record \ 
Traceback (most recent call last):
  File "convert_to_tfrecord.py", line 89, in <module>
    tf.app.run()
  File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/tensorflow/python/platform/app.py", line 126, in run
    _sys.exit(main(argv))
  File "convert_to_tfrecord.py", line 81, in main
    for filename in os.listdir(FLAGS.images_dir):
FileNotFoundError: [Errno 2] No such file or directory: ''
Oleksandrs-MacBook-Air:research jaskier$ --images_dir=ENFj/ \
> --labels_dir=ENFj/xml/

“convert_to_tfrecord”代码:

import os
import io
import xml.etree.ElementTree as ET
import tensorflow as tf

from object_detection.utils import dataset_util
from PIL import Image


flags = tf.app.flags
flags.DEFINE_string('output_path', '', 'Path to output TFRecord')
flags.DEFINE_string('images_dir', '', 'Path to directory of images')
flags.DEFINE_string('labels_dir', '', 'Path to directory of labels')
FLAGS = flags.FLAGS


def create_tf_example(example):

    image_path = os.getcwd() + '/' +  FLAGS.images_dir + example
    labels_path = os.getcwd() + '/' +  FLAGS.labels_dir + os.path.splitext(example)[0] + '.xml'

    # Read the image
    img = Image.open(image_path)
    width, height = img.size
    img_bytes = io.BytesIO()
    img.save(img_bytes, format=img.format)

    height = height
    width = width
    encoded_image_data = img_bytes.getvalue()
    image_format = img.format.encode('utf-8')

    # Read the label XML
    tree = ET.parse(labels_path)
    root = tree.getroot()
    xmins = xmaxs = ymins = ymaxs = list()

    for coordinate in root.find('object').iter('bndbox'):
        xmins = [int(coordinate.find('xmin').text)]
        xmaxs = [int(coordinate.find('xmax').text)]
        ymins = [int(coordinate.find('ymin').text)]
        ymaxs = [int(coordinate.find('ymax').text)]

    classes_text = ['tswift'.encode('utf-8')]
    classes = [1]

    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(encoded_image_data),
        'image/source_id': dataset_util.bytes_feature(encoded_image_data),
        'image/encoded': dataset_util.bytes_feature(encoded_image_data),
        '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)

    for filename in os.listdir(FLAGS.images_dir):
        tf_example = create_tf_example(filename)
        writer.write(tf_example.SerializeToString())

    writer.close()


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

尝试了不同的东西:1.更新请求(一行+删除“\”，因为正如下面有人提到的，这是页面的PHP解释器的错误......它使用了\n并且忘记隐藏输出文本):

python3 convert_to_tfrecord.py 
--output_path=train.record 
--images_dir=ENFj
--labels_dir=ENFj/xml

2.“查找.-name“.DS_Store”-删除”3.再试一次:

File "/Library/Frameworks/Python.framework/Versions/3.6/lib/python3.6/site-packages/PIL/Image.py", line 2543, in open fp = builtins.open(filename, "rb") IsADirectoryError: [Errno 21] Is a directory: '/Users/jaskier/Downloads/models/research/ENFj/xml'

Answer 1

该代码被设置为将 --images_dir 中的所有文件解释为某些图像处理机器。这意味着 --images_dir 中的任何非图像资源都会导致脚本中断。

一种解决方案是确保 --images_dir 仅包含图像文件(即确保该目录不包含 XML 文件或以 . 开头的文件，例如 .git 或 .DS_Store。

另一个解决方案是修改源代码本身，使其仅适用于图像文件。可以使用这样的东西:

import glob

# only match jpg files in the images_dir
for filename in glob.glob(FLAGS.images_dir + '/*.jpg'):
  tf_example = create_tf_example(filename)
  # copy the other lines here as needed