title: Reading PNG files using Tensorflow
body: <p>I want to build a conVNN based on my own image dataset. for that I first   I need to read the files here's what I've done :</p>
  
  <pre><code>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)
  </code></pre>
  
  <p>to make things easy: the <code>test</code> folder contains <code>10 png files</code> named <code>1.png 2.png .... 10.png</code> </p>
  
  <p>when I run the code I get  the following : </p>
  
  <pre><code>    INFO:tensorflow:Error reported to Coordinator: &lt;class 'tensorflow.python.framework.errors_impl.FailedPreconditionError'&gt;, 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 &lt;module&gt;
      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 "&lt;ipython-input-1-110a62c88def&gt;", line 3, in &lt;module&gt;
      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:
  -&gt; 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,
  -&gt; 1021                                  status, run_metadata)
     1022 
  
  c:\users\engine\appdata\local\programs\python\python35\lib\contextlib.py in __exit__(self, type, value, traceback)
       65             try:
  ---&gt; 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)),
  --&gt; 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)
  &lt;ipython-input-1-110a62c88def&gt; in &lt;module&gt;()
       16 
       17     # Get an image tensor and print its value.
  ---&gt; 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,
  --&gt; 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,
  --&gt; 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,
  -&gt; 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
  -&gt; 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 &lt;module&gt;
      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 "&lt;ipython-input-1-110a62c88def&gt;", line 9, in &lt;module&gt;
      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)]]
  </code></pre>
  
  <p>To be honest I have no clew how I'm suppose to solve this ? 
  thanks in advance for any hint </p>
  
  <p><strong>Update</strong></p>
  
  <p>After  Ujjwal  answer I've the the parameter for <code>tf.train.string_input_producer</code> as followed :</p>
  
  <pre><code>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)
  </code></pre>
  
  <p>Now it seem that TF can  find the files but still can't read them, here's  the actual  error message :</p>
  
  <pre><code>    [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 &lt;module&gt;
      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 &lt;module&gt;
      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]
  </code></pre>
  
  <p><strong>Update</strong> </p>
  
  <p>Based on Ujjwal  answer is the code that I'm using now, hopefully it may help someone out there :</p>
  
  <pre><code>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)
  </code></pre>