CascadeTabNet
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Not accurate results
@DevashishPrasad Thanks for sharing your hard work in this project.
I followed the pipeline using Colab but I did not get the same results, and for Bordered tables, I did not get the table structure(cells), and in some cases incomplete table structure (missing columns).
Could you please tell us where is the missing point?
Thanks in advance!
this is the result for demo image:
intersection:
detected cells:
Another demo image:
I also have the same problem, it’s strange that the Colab example doesn’t give the same result as the one presented on GitHub.
any update on this issue?
@DevashishPrasad Thanks for sharing your hard work in this project.
I followed the pipeline using Colab but I did not get the same results, and for Bordered tables, I did not get the table structure(cells), and in some cases incomplete table structure (missing columns).
Could you please tell us where is the missing point?
Thanks in advance!
this is the result for demo image:
intersection:
detected cells:
Another demo image:
How did you get the intersection output?
@DevashishPrasad Thanks for sharing your hard work in this project. I followed the pipeline using Colab but I did not get the same results, and for Bordered tables, I did not get the table structure(cells), and in some cases incomplete table structure (missing columns). Could you please tell us where is the missing point? Thanks in advance! this is the result for demo image:
intersection:
detected cells:
![]()
Another demo image:
![]()
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How did you get the intersection output?
first you can find borderFunc.py and activate line 54-55 ,while it show the intersection output