Changing Input Image size

[saurabhiit2007]

I am trying to reduce the image size from (2000, 80) [default] to (1000, 80) and have set LONG_LINES augmentation to False.
I am getting the following error.

tensorflow.python.framework.errors_impl.InvalidArgumentError: 2 root error(s) found.
(0) Invalid argument: sequence_length(0) <= 250
[[node functional_3/ctc/CTCLoss (defined at easter_model.py:33) ]]
(1) Invalid argument: sequence_length(0) <= 250
[[node functional_3/ctc/CTCLoss (defined at easter_model.py:33) ]]
[[functional_3/ctc/CTCLoss/_154]]
0 successful operations.
0 derived errors ignored. [Op:__inference_train_function_11028]

Do I need to change something in the model to make it work? Please help. TIA

[kartikgill]

Hey @saurabhiit2007 ,
Thanks for trying our Easter.
For image_width=2000, compatible output shape is : 500
If you are reducing it to 1000, you should also change Output shape to 250.
Kindly try it out and let us know if anything doesn't work.

[saurabhiit2007]

Thanks @kartikgill for your response.
Just for my understanding, does Output shape refers to the maximum number of characters that can be present in the input word/line? And if the input data is at word level then the input size can further be reduced with the corresponding change in the Output shape?
TIA

[kartikgill]

Hey @saurabhiit2007 ,

Output shape refers to maximum number of output character tokens from model. It should be strictly greater than you maximum output length. For more info read this - https://sid2697.github.io/Blog_Sid/algorithm/2019/11/04/Beam-search.html