Error when train with new data

I tried to train the Enet with own data but it caused a error. It is a problem with FIFOQueue. Our data have 715 images for training and 105 for validation and 100 for testing.

Can you help me to figure out this problem. Thanks a lot. Anh

2017-08-15 16:48:45.882942: W tensorflow/core/framework/op_kernel.cc:1158] Out of range: FIFOQueue '_1_batch/fifo_queue' is closed and has insufficient elements (requested 5, current size 0)
	 [[Node: batch = QueueDequeueUpToV2[component_types=[DT_FLOAT, DT_UINT8], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](batch/fifo_queue, batch/n)]]
2017-08-15 16:48:45.883176: W tensorflow/core/framework/op_kernel.cc:1158] Out of range: FIFOQueue '_1_batch/fifo_queue' is closed and has insufficient elements (requested 5, current size 0)
	 [[Node: batch = QueueDequeueUpToV2[component_types=[DT_FLOAT, DT_UINT8], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](batch/fifo_queue, batch/n)]]
2017-08-15 16:48:45.883198: W tensorflow/core/framework/op_kernel.cc:1158] Out of range: FIFOQueue '_1_batch/fifo_queue' is closed and has insufficient elements (requested 5, current size 0)
	 [[Node: batch = QueueDequeueUpToV2[component_types=[DT_FLOAT, DT_UINT8], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](batch/fifo_queue, batch/n)]]
2017-08-15 16:48:45.883214: W tensorflow/core/framework/op_kernel.cc:1158] Out of range: FIFOQueue '_1_batch/fifo_queue' is closed and has insufficient elements (requested 5, current size 0)
	 [[Node: batch = QueueDequeueUpToV2[component_types=[DT_FLOAT, DT_UINT8], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](batch/fifo_queue, batch/n)]]
2017-08-15 16:48:45.883861: W tensorflow/core/framework/op_kernel.cc:1158] Out of range: FIFOQueue '_1_batch/fifo_queue' is closed and has insufficient elements (requested 5, current size 0)
	 [[Node: batch = QueueDequeueUpToV2[component_types=[DT_FLOAT, DT_UINT8], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](batch/fifo_queue, batch/n)]]
2017-08-15 16:48:45.886415: W tensorflow/core/framework/op_kernel.cc:1158] Out of range: FIFOQueue '_1_batch/fifo_queue' is closed and has insufficient elements (requested 5, current size 0)
	 [[Node: batch = QueueDequeueUpToV2[component_types=[DT_FLOAT, DT_UINT8], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](batch/fifo_queue, batch/n)]]
Traceback (most recent call last):
  File "train_enet.py", line 357, in <module>
    run()
  File "train_enet.py", line 172, in run
    with slim.arg_scope(ENet_arg_scope(weight_decay=weight_decay)):
  File "/home/leducanh/.pyenv/versions/anaconda3-2.5.0/envs/tensorflow120/lib/python2.7/contextlib.py", line 35, in __exit__
    self.gen.throw(type, value, traceback)
  File "/home/leducanh/.pyenv/versions/anaconda3-2.5.0/envs/tensorflow120/lib/python2.7/site-packages/tensorflow/python/training/supervisor.py", line 964, in managed_session
    self.stop(close_summary_writer=close_summary_writer)
  File "/home/leducanh/.pyenv/versions/anaconda3-2.5.0/envs/tensorflow120/lib/python2.7/site-packages/tensorflow/python/training/supervisor.py", line 792, in stop
    stop_grace_period_secs=self._stop_grace_secs)
  File "/home/leducanh/.pyenv/versions/anaconda3-2.5.0/envs/tensorflow120/lib/python2.7/site-packages/tensorflow/python/training/coordinator.py", line 389, in join
    six.reraise(*self._exc_info_to_raise)
  File "/home/leducanh/.pyenv/versions/anaconda3-2.5.0/envs/tensorflow120/lib/python2.7/site-packages/tensorflow/python/training/queue_runner_impl.py", line 238, in _run
    enqueue_callable()
  File "/home/leducanh/.pyenv/versions/anaconda3-2.5.0/envs/tensorflow120/lib/python2.7/site-packages/tensorflow/python/client/session.py", line 1063, in _single_operation_run
    target_list_as_strings, status, None)
  File "/home/leducanh/.pyenv/versions/anaconda3-2.5.0/envs/tensorflow120/lib/python2.7/contextlib.py", line 24, in __exit__
    self.gen.next()
  File "/home/leducanh/.pyenv/versions/anaconda3-2.5.0/envs/tensorflow120/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.InvalidArgumentError: Shape mismatch in tuple component 1. Expected [202,360,1], got [202,360,3]
	 [[Node: batch/fifo_queue_enqueue = QueueEnqueueV2[Tcomponents=[DT_FLOAT, DT_UINT8], timeout_ms=-1, _device="/job:localhost/replica:0/task:0/cpu:0"](batch/fifo_queue, Squeeze/_2975, Squeeze_1/_2977)]]

[kwotsin]

@ducanh841988 I edited your error code (it is easier to look this way). So if you look at the error: Shape mismatch in tuple component 1. Expected [202,360,1], got [202,360,3] you might be feeding in an RGB image instead of a grayscale image annotation. The ground truth annotation must be a grayscale image where each pixel is labelled with its class and not the RGB values.

[SreenijaK]

@kwotsin Hi kwotsin,

I recently have encountered a similar issue of shape mismatch. The annotation tool I used is Labelme, which produces a 3-channel png labelled image. Will a simple color2grayscale conversion (like the opencv rgb2gray function) enough to resolve this issue? Thanks!

@kwotsin were you able to solve the issue. did rgb2gray work for you?