cremma-16-17-print
handprint
cremma-16-17-print | handprint | |
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1 | 2 | |
0 | 157 | |
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0.0 | 0.0 | |
over 1 year ago | over 1 year ago | |
XSLT | Python | |
Creative Commons Zero v1.0 Universal | BSD 3-clause "New" or "Revised" License |
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cremma-16-17-print
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What would you love to see in a modern edition of a 16th-century work?
I would also recommend to look into OCR and the progress in this area, at least to help you kickstart the trancription. Simon Gabay at Geneva is leading a project where they host eScriptorium, and their results are quite good. I have produced myself some data for Latin ( https://github.com/HTR-United/cremma-16-17-print ) and, except for some rare characters, the results are more than promising (much more than what Abbyy can do).
handprint
- Python Testing 1
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Ask HN: What’s a good solution for handwriting recognition of messy handwriting?
I found an interesting solution from caltech: https://github.com/caltechlibrary/handprint
Also it seems the keyword to find models and apis for this is “handwritten text recognition.”
What are some alternatives?
colabctl - Google Colaboratory background/task executioner & controller.
EasyOCR - Ready-to-use OCR with 80+ supported languages and all popular writing scripts including Latin, Chinese, Arabic, Devanagari, Cyrillic and etc.
iam-crnn-ctc-recognition - IAM Dataset Handwriting Recognition Using CRNN, CTC Loss, DeepSpeech Beam Search, And KenLM Scorer
kraken - OCR engine for all the languages
pyspeedinsights - Measure your site speed, performance, accessibility and SEO in bulk from the command line with Python and the PageSpeed Insights API.
GAM - command line management for Google Workspace [Moved to: https://github.com/GAM-team/GAM]
amazon-textract-response-parser - Parse JSON response of Amazon Textract
ml_kit_app - A Flutter mobile app to read data from business cards and save that data in phone book using OCR, ML and NLP.