ValueError: slice index 1 of dimension 1 out of bounds. for 'input/strided_slice_1'

[lukasas74]

Hello, I've tried using my own training photos, I've tried .jpg .png and nothing worked. Only GO Pro images worked. What I'm doing wrong? Changing datalist, everything.

[jiangsutx]

Maybe some if your images are too small.
We cropped training images for training.

[lukasas74]

Maybe some if your images are too small.
We cropped training images for training.

I've tried training on larger images, could that be an issue?
This is full code
ValueError: slice index 1 of dimension 1 out of bounds. for 'input/strided_slice_1' (op: 'StridedSlice') with input shapes: [56,1], [2], [2], [2] and with computed input tensors: input[1] = <0 1>, input[2] = <0 2>, input[3] = <1 1>.

[jiangsutx]

Sorry I cannot locate the error in source code. You may find Line number for that error.
In our code, you can find that we cropped input/GT images to form training data.
You can try editing the crop size.
And our images are all 3-channel color images. Did you mix gray images inside your data?

[lukasas74]

I'm pasting whole traceback segment.
(pythonGPU) C:\Deblur\SRN-Deblur-master\SRN-Deblur-master>python run_model.py --phase=train --batch=16 --lr=1e-4 --epoch=4000
WARNING:tensorflow:From C:\Users\home\Anaconda3\envs\pythonGPU\lib\site-packages\tensorflow\python\framework\op_def_library.py:263: colocate_with (from tensorflow.python.framework.ops) is deprecated and will be removed in a future version.
Instructions for updating:
Colocations handled automatically by placer.
Traceback (most recent call last):
File "C:\Users\home\Anaconda3\envs\pythonGPU\lib\site-packages\tensorflow\python\framework\ops.py", line 1659, in _create_c_op
c_op = c_api.TF_FinishOperation(op_desc)
tensorflow.python.framework.errors_impl.InvalidArgumentError: slice index 1 of dimension 1 out of bounds. for 'input/strided_slice_1' (op: 'StridedSlice') with input shapes: [56,1], [2], [2], [2] and with computed input tensors: input[1] = <0 1>, input[2] = <0 2>, input[3] = <1 1>.

During handling of the above exception, another exception occurred:

Traceback (most recent call last):
File "run_model.py", line 50, in
tf.app.run()
File "C:\Users\home\Anaconda3\envs\pythonGPU\lib\site-packages\tensorflow\python\platform\app.py", line 125, in run
_sys.exit(main(argv))
File "run_model.py", line 44, in main
deblur.train()
File "C:\Deblur\SRN-Deblur-master\SRN-Deblur-master\models\model.py", line 183, in train
self.build_model()
File "C:\Deblur\SRN-Deblur-master\SRN-Deblur-master\models\model.py", line 134, in build_model
img_in, img_gt = self.input_producer(self.batch_size)
File "C:\Deblur\SRN-Deblur-master\SRN-Deblur-master\models\model.py", line 57, in input_producer
in_list = List_all[:, 1]
File "C:\Users\home\Anaconda3\envs\pythonGPU\lib\site-packages\tensorflow\python\ops\array_ops.py", line 654, in _slice_helper
name=name)
File "C:\Users\home\Anaconda3\envs\pythonGPU\lib\site-packages\tensorflow\python\ops\array_ops.py", line 820, in strided_slice
shrink_axis_mask=shrink_axis_mask)
File "C:\Users\home\Anaconda3\envs\pythonGPU\lib\site-packages\tensorflow\python\ops\gen_array_ops.py", line 9356, in strided_slice
shrink_axis_mask=shrink_axis_mask, name=name)
File "C:\Users\home\Anaconda3\envs\pythonGPU\lib\site-packages\tensorflow\python\framework\op_def_library.py", line 788, in _apply_op_helper
op_def=op_def)
File "C:\Users\home\Anaconda3\envs\pythonGPU\lib\site-packages\tensorflow\python\util\deprecation.py", line 507, in new_func
return func(*args, **kwargs)
File "C:\Users\home\Anaconda3\envs\pythonGPU\lib\site-packages\tensorflow\python\framework\ops.py", line 3300, in create_op
op_def=op_def)
File "C:\Users\home\Anaconda3\envs\pythonGPU\lib\site-packages\tensorflow\python\framework\ops.py", line 1823, in init
control_input_ops)
File "C:\Users\home\Anaconda3\envs\pythonGPU\lib\site-packages\tensorflow\python\framework\ops.py", line 1662, in _create_c_op
raise ValueError(str(e))
ValueError: slice index 1 of dimension 1 out of bounds. for 'input/strided_slice_1' (op: 'StridedSlice') with input shapes: [56,1], [2], [2], [2] and with computed input tensors: input[1] = <0 1>, input[2] = <0 2>, input[3] = <1 1>.

I've tried recreating this error with GOPRO images from dataset. I've tried getting data list using cmd dir/b/s *.jpg >datalist_gopro.txt command and this error accured. Then I've switched to original datalist... txt and it began working. Maybe I was generating datalist in wrong workflow? And I use only color for training.

[jiangsutx]

Yes. Please make sure the paths are correct.
TensorFlow is hard to debug the data pipeline.

You can separately test the data input part:
https://github.com/jiangsutx/SRN-Deblur/blob/master/models/model.py#L37-L63
And make sure data files can be correctly located.