tensorflow對象檢測與我自己的數據，你能幫我嗎？

Question

我克隆上githug tensorflow對象檢測模型： github link
我要培養這種模式與我自己的數據（331個薩摩耶狗的圖像）通過這個博客教程click here

我的步驟如下：

1. 創建PASCAL VOC格式數據集;
2. 下載重新訓練模型（ssd_mobilenet_v1_coco_11_06_2017.tar.gz）
3. 變化的配置文件（ssd_mobilenet_v1_pets.config）
4. 由該碼初始訓練過程：

   蟒object_detection/train.py \ --logtostderr \ --pipeline_config_path =。/ samoyed_test_and_train /訓練/ ssd_mobilenet_v1_pets.config \ --train_dir =。/ samoyed_test_and_train /數據/ train.record

---

，但我收到的錯誤，我的操作系統是MacOS和我試過在AWS上，會出現同樣的問題，你能想通了我的錯誤錯誤：？

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

的train_dir標誌是爲了點在一些（通常是空的）目錄中，你的培訓日誌和檢查點將在培訓期間寫入。例如，它可能類似於train_dir=/tmp/training_directory。它看起來像你試圖把它指向你的數據集---配置文件應該已經指向哪個數據集。