使用我自己的数据检测tensorflow对象，你能帮帮我吗？

Question

我在githug上克隆了tensorflow对象检测模型： github link
我想用我自己的数据训练这个模型（331萨摩耶犬的图像），然后按照这个博客教程click here

我的步骤：

1. 创建PASCAL VOC格式数据集;
2. 下载再培训模型（ssd_mobilenet_v1_coco_11_06_2017.tar.gz）
3. 更改配置文件（ssd_mobilenet_v1_pets.config）
4. 通过以下代码初始化培训流程：

     

   python object_detection / train.py \   --logtostderr \   --pipeline_config_path =。/ samoyed_test_and_train / training / ssd_mobilenet_v1_pets.config \   --train_dir =。/ samoyed_test_and_train /数据/ train.record

但我收到错误，我的操作系统是MacOS，我在AWS上试过，出现同样的问题，你能搞清楚我的错误吗？错误：

INFO:tensorflow:Summary name Learning Rate is illegal; using Learning_Rate instead.
WARNING:tensorflow:From /Users/zhaoenpei/Desktop/dabai-robot-arm/experiments/models/object_detection/meta_architectures/ssd_meta_arch.py:579: all_variables (from tensorflow.python.ops.variables) is deprecated and will be removed after 2017-03-02.
Instructions for updating:
Please use tf.global_variables instead.
INFO:tensorflow:Summary name /clone_loss is illegal; using clone_loss instead.
2017-08-01 10:34:42.992224: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.2 instructions, but these are available on your machine and could speed up CPU computations.
2017-08-01 10:34:42.992254: W tensorflow/core/platform/cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX instructions, but these are available on your machine and could speed up CPU computations.
2017-08-01 10:35:00.359032: I tensorflow/core/common_runtime/simple_placer.cc:675] Ignoring device specification /device:GPU:0 for node 'prefetch_queue_Dequeue' because the input edge from 'prefetch_queue' is a reference connection and already has a device field set to /device:CPU:0
INFO:tensorflow:Restoring parameters from /Users/zhaoenpei/Desktop/dabai-robot-arm/experiments/models/samoyed_test_and_train/training/model.ckpt
INFO:tensorflow:Error reported to Coordinator: <class 'tensorflow.python.framework.errors_impl.FailedPreconditionError'>, ./samoyed_test_and_train/data/train.record/graph.pbtxt.tmpf4587d1958df43cbaa9a0d7a04199f6f
2017-08-01 10:35:29.556458: E tensorflow/core/util/events_writer.cc:62] Could not open events file: ./samoyed_test_and_train/data/train.record/events.out.tfevents.1501554929.MacBook-Pro.local: Failed precondition: ./samoyed_test_and_train/data/train.record/events.out.tfevents.1501554929.MacBook-Pro.local
2017-08-01 10:35:29.556480: E tensorflow/core/util/events_writer.cc:95] Write failed because file could not be opened.
Traceback (most recent call last):
  File "object_detection/train.py", line 198, in <module>
    tf.app.run()
  File "/Users/zhaoenpei/.virtualenvs/python_virtual_1/lib/python2.7/site-packages/tensorflow/python/platform/app.py", line 48, in run
    _sys.exit(main(_sys.argv[:1] + flags_passthrough))
  File "object_detection/train.py", line 194, in main
    worker_job_name, is_chief, FLAGS.train_dir)
  File "/Users/zhaoenpei/Desktop/dabai-robot-arm/experiments/models/object_detection/trainer.py", line 290, in train
    saver=saver)
  File "/Users/zhaoenpei/.virtualenvs/python_virtual_1/lib/python2.7/site-packages/tensorflow/contrib/slim/python/slim/learning.py", line 732, in train
    master, start_standard_services=False, config=session_config) as sess:
  File "/usr/local/Cellar/python/2.7.13/Frameworks/Python.framework/Versions/2.7/lib/python2.7/contextlib.py", line 17, in __enter__
    return self.gen.next()
  File "/Users/zhaoenpei/.virtualenvs/python_virtual_1/lib/python2.7/site-packages/tensorflow/python/training/supervisor.py", line 964, in managed_session
    self.stop(close_summary_writer=close_summary_writer)
  File "/Users/zhaoenpei/.virtualenvs/python_virtual_1/lib/python2.7/site-packages/tensorflow/python/training/supervisor.py", line 792, in stop
    stop_grace_period_secs=self._stop_grace_secs)
  File "/Users/zhaoenpei/.virtualenvs/python_virtual_1/lib/python2.7/site-packages/tensorflow/python/training/coordinator.py", line 389, in join
    six.reraise(*self._exc_info_to_raise)
  File "/Users/zhaoenpei/.virtualenvs/python_virtual_1/lib/python2.7/site-packages/tensorflow/python/training/supervisor.py", line 953, in managed_session
    start_standard_services=start_standard_services)
  File "/Users/zhaoenpei/.virtualenvs/python_virtual_1/lib/python2.7/site-packages/tensorflow/python/training/supervisor.py", line 709, in prepare_or_wait_for_session
    self._write_graph()
  File "/Users/zhaoenpei/.virtualenvs/python_virtual_1/lib/python2.7/site-packages/tensorflow/python/training/supervisor.py", line 612, in _write_graph
    self._logdir, "graph.pbtxt")
  File "/Users/zhaoenpei/.virtualenvs/python_virtual_1/lib/python2.7/site-packages/tensorflow/python/framework/graph_io.py", line 67, in write_graph
    file_io.atomic_write_string_to_file(path, str(graph_def))
  File "/Users/zhaoenpei/.virtualenvs/python_virtual_1/lib/python2.7/site-packages/tensorflow/python/lib/io/file_io.py", line 418, in atomic_write_string_to_file
    write_string_to_file(temp_pathname, contents)
  File "/Users/zhaoenpei/.virtualenvs/python_virtual_1/lib/python2.7/site-packages/tensorflow/python/lib/io/file_io.py", line 305, in write_string_to_file
    f.write(file_content)
  File "/Users/zhaoenpei/.virtualenvs/python_virtual_1/lib/python2.7/site-packages/tensorflow/python/lib/io/file_io.py", line 101, in write
    self._prewrite_check()
  File "/Users/zhaoenpei/.virtualenvs/python_virtual_1/lib/python2.7/site-packages/tensorflow/python/lib/io/file_io.py", line 87, in _prewrite_check
    compat.as_bytes(self.__name), compat.as_bytes(self.__mode), status)
  File "/usr/local/Cellar/python/2.7.13/Frameworks/Python.framework/Versions/2.7/lib/python2.7/contextlib.py", line 24, in __exit__
    self.gen.next()
  File "/Users/zhaoenpei/.virtualenvs/python_virtual_1/lib/python2.7/site-packages/tensorflow/python/framework/errors_impl.py", line 466, in raise_exception_on_not_ok_status
    pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.FailedPreconditionError: ./samoyed_test_and_train/data/train.record/graph.pbtxt.tmpf4587d1958df43cbaa9a0d7a04199f6f

Answer 1

train_dir标志旨在指向一些（通常为空）目录，您的培训日志和检查点将在培训期间写入。例如，它可能类似于train_dir=/tmp/training_directory。看起来你试图将它指向你的数据集---配置文件应该已经指向了它。