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Printed and handwritten text segmentation using fully convolutional networks and CRF post-processing

Home Page: https://jumpst3r.github.io/printed-hw-segmentation/

License: MIT License

Python 70.09% Shell 0.36% Dockerfile 0.99% JavaScript 10.28% CSS 6.37% HTML 1.00% PHP 10.91%
conditional-random-fields fully-convolutional-networks machine-learning printed-handwritten-text segmentation text-segmentation

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printed-hw-segmentation's Issues

About the dataset

Thank you for your work! It's very nice.

I am very interested in the work, and want to reproduce the result.

But there is a problem that I can't obtain the related dataset.

Can you share some related links aoout the dataset?

Thank you.

Problem of running results

Hello, thank you for your work,This project looks very good. I installed the total project on ubuntu . run classifier_fcnn.py with your model file . The results did not meet expectations.What's wrong? Can you help me ? Looking forward to your reply .thanx .The following are the images .the first is input image .The last run with --enableCRF
input
fcn_out3

fcn_out_crf3
)

Can I train in local?

Hello, I have got the IAM MARG and RIMES dataset。How to deal with them to train?

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