超出范围错误：随机随机播放队列'_2_shuffle_batch/random_shuffle_queue'已关闭并且元素不足(请求 1，当前大小 0)

我在尝试将数据馈送到模型时会遇到Outofrange错误。我猜想数据永远不会达到队列，因此错误。仅用于测试，我将其添加给Tfrecord，并用一个元组（图像，地面_truth）。我还尝试了TensorFlow调试器（TFDBG），但它也只会抛出相同的错误，我看不到任何TensoeFlow值。

TensorFlow版本：1.3

Python版本：3.5.3

OS：Windows10

filename_queue = tf.train.string_input_producer([tfrecord_filename],num_epochs=1)
image_batch, annotation_batch = tf.train.shuffle_batch([resized_image, resized_annotation],
                                                       batch_size=1,
                                                       capacity=10,
                                                       num_threads=1,
                                                       min_after_dequeue=1)

stacktrace：

Traceback (most recent call last):
  File "C:Program FilesPython35libsite-packagestensorflowpythonclientsession.py", line 1327, in _do_call
    return fn(*args)
  File "C:Program FilesPython35libsite-packagestensorflowpythonclientsession.py", line 1306, in _run_fn
    status, run_metadata)
  File "C:Program FilesPython35libcontextlib.py", line 66, in __exit__
    next(self.gen)
  File "C:Program FilesPython35libsite-packagestensorflowpythonframeworkerrors_impl.py", line 466, in raise_exception_on_not_ok_status
    pywrap_tensorflow.TF_GetCode(status))
tensorflow.python.framework.errors_impl.OutOfRangeError: RandomShuffleQueue '_2_shuffle_batch/random_shuffle_queue' is closed and has insufficient elements (requested 1, current size 0)
     [[Node: shuffle_batch = QueueDequeueManyV2[component_types=[DT_UINT8, DT_INT32], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](shuffle_batch/random_shuffle_queue, shuffle_batch/n)]]
During handling of the above exception, another exception occurred:
Traceback (most recent call last):
  File "C:/Users/supriya.godge/PycharmProjects/tf-image-segmentation/tf_image_segmentation/recipes/pascal_voc/DeepLab/resnet_v1_101_8s_train.py", line 160, in <module>
    train_step])
  File "C:Program FilesPython35libsite-packagestensorflowpythonclientsession.py", line 895, in run
    run_metadata_ptr)
  File "C:Program FilesPython35libsite-packagestensorflowpythonclientsession.py", line 1124, in _run
    feed_dict_tensor, options, run_metadata)
  File "C:Program FilesPython35libsite-packagestensorflowpythonclientsession.py", line 1321, in _do_run
    options, run_metadata)
  File "C:Program FilesPython35libsite-packagestensorflowpythonclientsession.py", line 1340, in _do_call
    raise type(e)(node_def, op, message)
tensorflow.python.framework.errors_impl.OutOfRangeError: RandomShuffleQueue '_2_shuffle_batch/random_shuffle_queue' is closed and has insufficient elements (requested 1, current size 0)
     [[Node: shuffle_batch = QueueDequeueManyV2[component_types=[DT_UINT8, DT_INT32], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](shuffle_batch/random_shuffle_queue, shuffle_batch/n)]]
Caused by op 'shuffle_batch', defined at:
  File "C:/Users/supriya.godge/PycharmProjects/tf-image-segmentation/tf_image_segmentation/recipes/pascal_voc/DeepLab/resnet_v1_101_8s_train.py", line 68, in <module>
    min_after_dequeue=1)
  File "C:Program FilesPython35libsite-packagestensorflowpythontraininginput.py", line 1220, in shuffle_batch
    name=name)
  File "C:Program FilesPython35libsite-packagestensorflowpythontraininginput.py", line 791, in _shuffle_batch
    dequeued = queue.dequeue_many(batch_size, name=name)
  File "C:Program FilesPython35libsite-packagestensorflowpythonopsdata_flow_ops.py", line 457, in dequeue_many
    self._queue_ref, n=n, component_types=self._dtypes, name=name)
  File "C:Program FilesPython35libsite-packagestensorflowpythonopsgen_data_flow_ops.py", line 1342, in _queue_dequeue_many_v2
    timeout_ms=timeout_ms, name=name)
  File "C:Program FilesPython35libsite-packagestensorflowpythonframeworkop_def_library.py", line 767, in apply_op
    op_def=op_def)
  File "C:Program FilesPython35libsite-packagestensorflowpythonframeworkops.py", line 2630, in create_op
    original_op=self._default_original_op, op_def=op_def)
  File "C:Program FilesPython35libsite-packagestensorflowpythonframeworkops.py", line 1204, in __init__
    self._traceback = self._graph._extract_stack()  # pylint: disable=protected-access
OutOfRangeError (see above for traceback): RandomShuffleQueue '_2_shuffle_batch/random_shuffle_queue' is closed and has insufficient elements (requested 1, current size 0)
     [[Node: shuffle_batch = QueueDequeueManyV2[component_types=[DT_UINT8, DT_INT32], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](shuffle_batch/random_shuffle_queue, shuffle_batch/n)]]

我尝试了在Stackoverflow上发布的不同解决方案，但出于相同的错误。不幸的是，对我没有任何帮助。请让我知道我是否应该提供任何其他信息。任何建议将被赞赏。预先感谢。

请使用此URL创建注释映像。完成注释图像后，请参阅注释图像的矩阵值。
url：https：//github.com/kyamagu/js-segment-annotator

Example:
Originale Annotation Image Matrix Value [1,1,1] but
Your Annotation image have [0,0,1] or [1,0,0] or [0,1,0].

因此，您使用我的python脚本从[0,0,1]转换为相同的值[1,1,1]

def biggest(a, y, z):
    Max = a
    if y > Max:
        Max = y
    if z > Max:
        Max = z
        if y > z:
            Max = y
    return Max
#Input Image
outdir = "sampleimages/sample2.png"
cnt = 0
image = cv2.imread(outdir)
for i in range(0,360):
  for j in range(0,480):
    newvalue = biggest(image[i,j,0],image[i,j,1],image[i,j,2])
    image[i,j,0] = newvalue
    image[i,j,1] = newvalue
    image[i,j,2] = newvalue
    #if image[i,j] == 8:
    #  cnt += 1
#Output Image
cv2.imwrite("sampleimages/sample-gray-2.png",image)

请参考：https://github.com/tkuanlun350/tensorflow-segnet/issues/6

我正在为我的机器学习项目创建一个数据集，事实证明，每当我从python中以png格式保存图像文件时，我都会出现错误。我使用MAT-LAB生成了数据集，并且错误消失了。我仍在调查此问题，并尽快发布更新的答案。同时，我希望这对某人有帮助。

如果注释映像是错误的，则将显示此错误。请参见注释图像矩阵值。应该有所不同。例如注释图像矩阵值具有灰色（矩阵值[1 1 1]）但是您的图像不是灰色（Matix值[1 3 6]）。因此，请检查矩阵值您的注释图像

如果注释图像不是灰色，则队列不会填充。这是错误。

在camvid_reader_seq def

中尝试此代码。

label_bytes = tf.image.decode_png(labelValue,1)

注意：1表示将颜色图像转换为灰度

对于任何可能会有所帮助的人，我都会遇到相同的错误，这显然是第一个链接，在不同上下文中谈论错误。

感谢 TensorFlow的差错误消息，由于以下内容，此错误可能是可能的：

TF记录文件的不良路径
图像形状不匹配
图像文件格式错误匹配

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