使用Tensorflow讀取PNG文件

我想根據自己的圖像數據集構建conVNN。爲此，我首先我需要閱讀的文件，這裏是我做了什麼：使用Tensorflow讀取PNG文件

import tensorflow as tf 
# Here generating a tensor of type string that include all the filename with png extention 
filename_queue = tf.train.string_input_producer(tf.train.match_filenames_once("test_png/*.png")) 
# Initializing a file Reader 
image_reader = tf.WholeFileReader() 

# Here the file all the files mentioned ie filename queue and 
# returns the the file name and the pixelvalue in form of a tensor ! 
imageName,imagefile= image_reader.read(filename_queue) 
image = tf.image.decode_png(imagefile) 
tf.global_variables_initializer() 
with tf.Session() as sess: 
    # Coordinate the loading of image files. 
    coord = tf.train.Coordinator() 
    threads = tf.train.start_queue_runners(coord=coord) 

    # Get an image tensor and print its value. 
    image_tensor = sess.run([image]) 
    print(image_tensor) 

    # Finish off the filename queue coordinator. 
    coord.request_stop() 
    coord.join(threads)

讓一切變得簡單：在test文件夾包含10 png files命名爲1.png 2.png .... 10.png當我運行的代碼，我得到以下

：

INFO:tensorflow:Error reported to Coordinator: <class 'tensorflow.python.framework.errors_impl.FailedPreconditionError'>, Attempting to use uninitialized value matching_filenames 
    [[Node: matching_filenames/read = Identity[T=DT_STRING, _class=["loc:@matching_filenames"], _device="/job:localhost/replica:0/task:0/cpu:0"](matching_filenames)]] 

Caused by op 'matching_filenames/read', defined at: 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\runpy.py", line 184, in _run_module_as_main 
    "__main__", mod_spec) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\runpy.py", line 85, in _run_code 
    exec(code, run_globals) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\__main__.py", line 3, in <module> 
    app.launch_new_instance() 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\traitlets\config\application.py", line 658, in launch_instance 
    app.start() 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\kernelapp.py", line 474, in start 
    ioloop.IOLoop.instance().start() 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\zmq\eventloop\ioloop.py", line 177, in start 
    super(ZMQIOLoop, self).start() 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tornado\ioloop.py", line 887, in start 
    handler_func(fd_obj, events) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tornado\stack_context.py", line 275, in null_wrapper 
    return fn(*args, **kwargs) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\zmq\eventloop\zmqstream.py", line 440, in _handle_events 
    self._handle_recv() 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\zmq\eventloop\zmqstream.py", line 472, in _handle_recv 
    self._run_callback(callback, msg) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\zmq\eventloop\zmqstream.py", line 414, in _run_callback 
    callback(*args, **kwargs) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tornado\stack_context.py", line 275, in null_wrapper 
    return fn(*args, **kwargs) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\kernelbase.py", line 276, in dispatcher 
    return self.dispatch_shell(stream, msg) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\kernelbase.py", line 228, in dispatch_shell 
    handler(stream, idents, msg) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\kernelbase.py", line 390, in execute_request 
    user_expressions, allow_stdin) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\ipkernel.py", line 196, in do_execute 
    res = shell.run_cell(code, store_history=store_history, silent=silent) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\zmqshell.py", line 501, in run_cell 
    return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\IPython\core\interactiveshell.py", line 2717, in run_cell 
    interactivity=interactivity, compiler=compiler, result=result) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\IPython\core\interactiveshell.py", line 2821, in run_ast_nodes 
    if self.run_code(code, result): 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\IPython\core\interactiveshell.py", line 2881, in run_code 
    exec(code_obj, self.user_global_ns, self.user_ns) 
    File "<ipython-input-1-110a62c88def>", line 3, in <module> 
    filename_queue = tf.train.string_input_producer(tf.train.match_filenames_once("test_png/*.png")) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\training\input.py", line 68, in match_filenames_once 
    collections=[ops.GraphKeys.LOCAL_VARIABLES]) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\ops\variables.py", line 197, in __init__ 
    expected_shape=expected_shape) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\ops\variables.py", line 316, in _init_from_args 
    self._snapshot = array_ops.identity(self._variable, name="read") 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 1338, in identity 
    result = _op_def_lib.apply_op("Identity", input=input, name=name) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 768, in apply_op 
    op_def=op_def) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\framework\ops.py", line 2336, in create_op 
    original_op=self._default_original_op, op_def=op_def) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\framework\ops.py", line 1228, in __init__ 
    self._traceback = _extract_stack() 

FailedPreconditionError (see above for traceback): Attempting to use uninitialized value matching_filenames 
    [[Node: matching_filenames/read = Identity[T=DT_STRING, _class=["loc:@matching_filenames"], _device="/job:localhost/replica:0/task:0/cpu:0"](matching_filenames)]] 

--------------------------------------------------------------------------- 
OutOfRangeError       Traceback (most recent call last) 
c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args) 
    1038  try: 
-> 1039  return fn(*args) 
    1040  except errors.OpError as e: 

c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\client\session.py in _run_fn(session, feed_dict, fetch_list, target_list, options, run_metadata) 
    1020         feed_dict, fetch_list, target_list, 
-> 1021         status, run_metadata) 
    1022 

c:\users\engine\appdata\local\programs\python\python35\lib\contextlib.py in __exit__(self, type, value, traceback) 
    65    try: 
---> 66     next(self.gen) 
    67    except StopIteration: 

c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\framework\errors_impl.py in raise_exception_on_not_ok_status() 
    465   compat.as_text(pywrap_tensorflow.TF_Message(status)), 
--> 466   pywrap_tensorflow.TF_GetCode(status)) 
    467 finally: 

OutOfRangeError: FIFOQueue '_0_input_producer' is closed and has insufficient elements (requested 1, current size 0) 
    [[Node: ReaderReadV2 = ReaderReadV2[_device="/job:localhost/replica:0/task:0/cpu:0"](WholeFileReaderV2, input_producer)]] 

During handling of the above exception, another exception occurred: 

OutOfRangeError       Traceback (most recent call last) 
<ipython-input-1-110a62c88def> in <module>() 
    16 
    17  # Get an image tensor and print its value. 
---> 18  image_tensor = sess.run([image]) 
    19  print(image_tensor) 
    20 

c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\client\session.py in run(self, fetches, feed_dict, options, run_metadata) 
    776  try: 
    777  result = self._run(None, fetches, feed_dict, options_ptr, 
--> 778       run_metadata_ptr) 
    779  if run_metadata: 
    780   proto_data = tf_session.TF_GetBuffer(run_metadata_ptr) 

c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\client\session.py in _run(self, handle, fetches, feed_dict, options, run_metadata) 
    980  if final_fetches or final_targets: 
    981  results = self._do_run(handle, final_targets, final_fetches, 
--> 982        feed_dict_string, options, run_metadata) 
    983  else: 
    984  results = [] 

c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\client\session.py in _do_run(self, handle, target_list, fetch_list, feed_dict, options, run_metadata) 
    1030  if handle is None: 
    1031  return self._do_call(_run_fn, self._session, feed_dict, fetch_list, 
-> 1032       target_list, options, run_metadata) 
    1033  else: 
    1034  return self._do_call(_prun_fn, self._session, handle, feed_dict, 

c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\client\session.py in _do_call(self, fn, *args) 
    1050   except KeyError: 
    1051   pass 
-> 1052  raise type(e)(node_def, op, message) 
    1053 
    1054 def _extend_graph(self): 

OutOfRangeError: FIFOQueue '_0_input_producer' is closed and has insufficient elements (requested 1, current size 0) 
    [[Node: ReaderReadV2 = ReaderReadV2[_device="/job:localhost/replica:0/task:0/cpu:0"](WholeFileReaderV2, input_producer)]] 

Caused by op 'ReaderReadV2', defined at: 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\runpy.py", line 184, in _run_module_as_main 
    "__main__", mod_spec) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\runpy.py", line 85, in _run_code 
    exec(code, run_globals) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\__main__.py", line 3, in <module> 
    app.launch_new_instance() 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\traitlets\config\application.py", line 658, in launch_instance 
    app.start() 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\kernelapp.py", line 474, in start 
    ioloop.IOLoop.instance().start() 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\zmq\eventloop\ioloop.py", line 177, in start 
    super(ZMQIOLoop, self).start() 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tornado\ioloop.py", line 887, in start 
    handler_func(fd_obj, events) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tornado\stack_context.py", line 275, in null_wrapper 
    return fn(*args, **kwargs) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\zmq\eventloop\zmqstream.py", line 440, in _handle_events 
    self._handle_recv() 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\zmq\eventloop\zmqstream.py", line 472, in _handle_recv 
    self._run_callback(callback, msg) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\zmq\eventloop\zmqstream.py", line 414, in _run_callback 
    callback(*args, **kwargs) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tornado\stack_context.py", line 275, in null_wrapper 
    return fn(*args, **kwargs) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\kernelbase.py", line 276, in dispatcher 
    return self.dispatch_shell(stream, msg) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\kernelbase.py", line 228, in dispatch_shell 
    handler(stream, idents, msg) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\kernelbase.py", line 390, in execute_request 
    user_expressions, allow_stdin) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\ipkernel.py", line 196, in do_execute 
    res = shell.run_cell(code, store_history=store_history, silent=silent) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\ipykernel\zmqshell.py", line 501, in run_cell 
    return super(ZMQInteractiveShell, self).run_cell(*args, **kwargs) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\IPython\core\interactiveshell.py", line 2717, in run_cell 
    interactivity=interactivity, compiler=compiler, result=result) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\IPython\core\interactiveshell.py", line 2821, in run_ast_nodes 
    if self.run_code(code, result): 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\IPython\core\interactiveshell.py", line 2881, in run_code 
    exec(code_obj, self.user_global_ns, self.user_ns) 
    File "<ipython-input-1-110a62c88def>", line 9, in <module> 
    imageName,imagefile= image_reader.read(filename_queue) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\ops\io_ops.py", line 193, in read 
    return gen_io_ops._reader_read_v2(self._reader_ref, queue_ref, name=name) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\ops\gen_io_ops.py", line 411, in _reader_read_v2 
    queue_handle=queue_handle, name=name) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 768, in apply_op 
    op_def=op_def) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\framework\ops.py", line 2336, in create_op 
    original_op=self._default_original_op, op_def=op_def) 
    File "c:\users\engine\appdata\local\programs\python\python35\lib\site-packages\tensorflow\python\framework\ops.py", line 1228, in __init__ 
    self._traceback = _extract_stack() 

OutOfRangeError (see above for traceback): FIFOQueue '_0_input_producer' is closed and has insufficient elements (requested 1, current size 0) 
    [[Node: ReaderReadV2 = ReaderReadV2[_device="/job:localhost/replica:0/task:0/cpu:0"](WholeFileReaderV2, input_producer)]]

說實話我沒有提示我如何解決這個問題？先感謝您的任何暗示

更新

Ujjwal答案後，我已經爲遵循tf.train.string_input_producer的參數：

import tensorflow as tf 
import os 
files = os.listdir('test_png') 

# Here generating a tensor of type string that include all the filename with png extention 
filename_queue = tf.train.string_input_producer(files) 
# Initializing a file Reader 
image_reader = tf.WholeFileReader() 

# Here the file all the files mentioned ie filename queue and 
# returns the the file name and the pixelvalue in form of a tensor ! 
imageName,imagefile= image_reader.read(filename_queue) 
image = tf.image.decode_png(imagefile) 
#tf.global_variables_initializer() 
with tf.Session() as sess: 
    tf.global_variables_initializer().run() 
    # Coordinate the loading of image files. 
    coord = tf.train.Coordinator() 
    threads = tf.train.start_queue_runners(coord=coord) 

    # Get an image tensor and print its value. 
    image_tensor = sess.run([image]) 
    print(image_tensor) 

    # Finish off the filename queue coordinator. 
    coord.request_stop() 
    coord.join(threads)

現在似乎TF可以找到文件，但仍無法讀取它們，這裏是實際的錯誤信息：

[Command: python -u D:\Masterarbeit\Tensorflow\Main\convNN\own_DATA.py] 
2017-06-08 15:12:31.845015: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE instructions, but these are available on your machine and could speed up CPU computations. 
2017-06-08 15:12:31.845384: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE2 instructions, but these are available on your machine and could speed up CPU computations. 
2017-06-08 15:12:31.845662: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE3 instructions, but these are available on your machine and could speed up CPU computations. 
2017-06-08 15:12:31.845949: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use SSE4.1 instructions, but these are available on your machine and could speed up CPU computations. 
2017-06-08 15:12:31.846859: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\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. 
2017-06-08 15:12:31.847174: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\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. 
2017-06-08 15:12:31.847464: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use AVX2 instructions, but these are available on your machine and could speed up CPU computations. 
2017-06-08 15:12:31.847754: W c:\tf_jenkins\home\workspace\release-win\device\cpu\os\windows\tensorflow\core\platform\cpu_feature_guard.cc:45] The TensorFlow library wasn't compiled to use FMA instructions, but these are available on your machine and could speed up CPU computations. 
Traceback (most recent call last): 
    File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1039, in _do_call 
    return fn(*args) 
    File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1021, in _run_fn 
    status, run_metadata) 
    File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\contextlib.py", line 66, in __exit__ 
    next(self.gen) 
    File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\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.NotFoundError: Can not get size for: 4.png : The system cannot find the file specified. 


    [[Node: ReaderReadV2 = ReaderReadV2[_device="/job:localhost/replica:0/task:0/cpu:0"](WholeFileReaderV2, input_producer)]] 

During handling of the above exception, another exception occurred: 

Traceback (most recent call last): 
    File "D:\Masterarbeit\Tensorflow\Main\convNN\own_DATA.py", line 22, in <module> 
    image_tensor = sess.run([image]) 
    File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 778, in run 
    run_metadata_ptr) 
    File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 982, in _run 
    feed_dict_string, options, run_metadata) 
    File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1032, in _do_run 
    target_list, options, run_metadata) 
    File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\client\session.py", line 1052, in _do_call 
    raise type(e)(node_def, op, message) 
tensorflow.python.framework.errors_impl.NotFoundError: Can not get size for: 4.png : The system cannot find the file specified. 


    [[Node: ReaderReadV2 = ReaderReadV2[_device="/job:localhost/replica:0/task:0/cpu:0"](WholeFileReaderV2, input_producer)]] 

Caused by op 'ReaderReadV2', defined at: 
    File "D:\Masterarbeit\Tensorflow\Main\convNN\own_DATA.py", line 12, in <module> 
    imageName,imagefile= image_reader.read(filename_queue) 
    File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\io_ops.py", line 193, in read 
    return gen_io_ops._reader_read_v2(self._reader_ref, queue_ref, name=name) 
    File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\ops\gen_io_ops.py", line 411, in _reader_read_v2 
    queue_handle=queue_handle, name=name) 
    File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 768, in apply_op 
    op_def=op_def) 
    File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\ops.py", line 2336, in create_op 
    original_op=self._default_original_op, op_def=op_def) 
    File "C:\Users\Engine\AppData\Local\Programs\Python\Python35\lib\site-packages\tensorflow\python\framework\ops.py", line 1228, in __init__ 
    self._traceback = _extract_stack() 

NotFoundError (see above for traceback): Can not get size for: 4.png : The system cannot find the file specified. 


    [[Node: ReaderReadV2 = ReaderReadV2[_device="/job:localhost/replica:0/task:0/cpu:0"](WholeFileReaderV2, input_producer)]] 

[Finished in 1.972s]

更新

基於Ujjwal的回答是，我使用的是現在，希望它可以幫助人在那裏代碼：

import tensorflow as tf 
import os 

# list files name 
files = os.listdir("Test_PNG") 
files = ["Test_PNG/" + s for s in files] 
files = [os.path.abspath(s) for s in files ] 


# Here generating a tensor of type string that include all the filename with png extention 
filename_queue = tf.train.string_input_producer(files) 
# Initializing a file Reader 
image_reader = tf.WholeFileReader() 

# Here the file all the files mentioned ie filename queue and 
# returns the the file name and the pixelvalue in form of a tensor ! 
imageName,imagefile= image_reader.read(filename_queue) 
image = tf.image.decode_png(imagefile) 
#tf.global_variables_initializer() 
with tf.Session() as sess: 
    tf.global_variables_initializer().run() 
    # Coordinate the loading of image files. 
    coord = tf.train.Coordinator() 
    threads = tf.train.start_queue_runners(coord=coord) 

    # Get an image tensor and print its value. 
    image_tensor = sess.run([image]) 
    print(image_tensor) 

    # Finish off the filename queue coordinator. 
    coord.request_stop() 
    coord.join(threads)

來源

2017-06-08 Engine

您必須初始化變量。嘗試移動tf.Session() as sess:塊內的tf.global_variables_initializer()並將其運行爲tf.global_variables_initializer().run()

來源

2017-06-08 12:33:16 Ujjwal

感謝您的回覆，但是您是否測試了該問題？我改變了代碼，但仍然得到相同的錯誤信息！？ – Engine

你知道我怎麼知道如果TF可以找到圖像？ – Engine

1.您應該嘗試使用該模式時提供完整路徑。 2.如果找不到它，它會給你一個錯誤，說明隊列是空的。 3.您可以隨時使用'os.path'來獲取您所關注的文件列表，並直接將該列表作爲參數傳遞給'string_input_producer（）' – Ujjwal

使用Tensorflow讀取PNG文件

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