Update OCR module

[GNEHUY]

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Description

Update OCR module：ocr.py and test_ocr.py and segment.py

What does this implement/fix? Explain your changes.

1.update ocr.py
2.update test_ocr.py
3.modify segment.py
4.add item_ocr_formula.png
5.modify SIF/sif4sci and Tokenizer/CustomTokenizer, PureTextTokenizer, AstFormulaTokenizer for add convert_image_to_latex
6.modify AUTHORS.md

Pull request type

• [DATASET] Add a new dataset
• [BUGFIX] Bugfix
• [FEATURE] New feature (non-breaking change which adds functionality)
• [BREAKING] Breaking change (fix or feature that would cause existing functionality to not work as expected)
• [STYLE] Code style update (formatting, renaming)
• [REFACTOR] Refactoring (no functional changes, no api changes)
• [BUILD] Build related changes
• [DOC] Documentation content changes
• [OTHER] Other (please describe):

Changes

1.update ocr.py
2.update test_ocr.py
3.modify segment.py
4.add item_ocr_formula.png
5.modify SIF/sif4sci and Tokenizer/CustomTokenizer, PureTextTokenizer, AstFormulaTokenizer for add convert_image_to_latex
6.modify AUTHORS.md

Does this close any currently open issues?

no

Any relevant logs, error output, etc?

no

Checklist

Before you submit a pull request, please make sure you have to following:

Essentials

• PR's title starts with a category (e.g. [BUGFIX], [FEATURE], [BREAKING], [DOC], etc)
• Changes are complete (i.e. I finished coding on this PR)
• All changes have test coverage and al tests passing
• Code is well-documented (extended the README / documentation, if necessary)
• If this PR is your first one, add your name and github account to AUTHORS.md

Comments

• If this change is a backward incompatible change, why must this change be made.
• Interesting edge cases to note here

[codecov-commenter]

Codecov Report

All modified and coverable lines are covered by tests ✅

Project coverage is 97.33%. Comparing base (504d147) to head (d235439).

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Additional details and impacted files

@@            Coverage Diff             @@
##              dev     #157      +/-   ##
==========================================
+ Coverage   97.31%   97.33%   +0.02%     
==========================================
  Files          84       85       +1     
  Lines        4651     4694      +43     
==========================================
+ Hits         4526     4569      +43     
  Misses        125      125              

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[KenelmQLH]

I notice that SIF/sif4sci, Tokenizer/CustomTokenizer, PureTextTokenizer, AstFormulaTokenizer also use seg or sif4sci. Please add convert_image_to_latex to them.