Comments (3)
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.
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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
from easter2.
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
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Related Issues (17)
- Any plans of releasing Pre- Trained Weights? HOT 1
- Error Rate (Validation + Test) HOT 1
- Weights for model without TACo augmentations HOT 1
- Can't find Link of Model "saved_checkpoint.hdf5" HOT 1
- the demo and pretrained checkpoint HOT 2
- SystemError: Exception encountered when calling layer "ctc" (type Lambda). unknown opcode
- EOF read where object expected
- Altering EASTER2.0 to work on Word Level Cropping
- saved_checkpoint.hdf5 throwing keyerror HOT 2
- Unable to run inference. HOT 11
- IAM statistics in the paper HOT 2
- Can't load checkpoint: bad marshal data HOT 7
- Test on individual images HOT 4
- text extraction using ocr HOT 8
- How to select the super parameters for data argument, especially T_ Max HOT 1
- The question about weighted_CTCloss HOT 1
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