Local OCR (supersedes #119, fixes #116) #136
Open
Conversation
This file contains bidirectional Unicode text that may be interpreted or compiled differently than what appears below. To review, open the file in an editor that reveals hidden Unicode characters.
Learn more about bidirectional Unicode characters
added 5 commits
August 30, 2020 23:08
Currently, the OCR portion works on Linux. Requires local installation of `tesseract` package (an OCR utility and dependency for `pytesseract`) Still needs further testing on Windows, Mac OS X, other Linux distros. Also needs documentation about how to enable local OCR capabilities. There is also a new extra parameter (scale_up) for OCR related functions.
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
Add this suggestion to a batch that can be applied as a single commit.
This suggestion is invalid because no changes were made to the code.
Suggestions cannot be applied while the pull request is closed.
Suggestions cannot be applied while viewing a subset of changes.
Only one suggestion per line can be applied in a batch.
Add this suggestion to a batch that can be applied as a single commit.
Applying suggestions on deleted lines is not supported.
You must change the existing code in this line in order to create a valid suggestion.
Outdated suggestions cannot be applied.
This suggestion has been applied or marked resolved.
Suggestions cannot be applied from pending reviews.
Suggestions cannot be applied on multi-line comments.
Suggestions cannot be applied while the pull request is queued to merge.
Suggestion cannot be applied right now. Please check back later.
Adds the ability for users to use a local (i.e. on-machine) OCR engine to drive OCR related functions (
extract_text_ocr/find_text_on_screen_ocr/ etc). This is for the case in which a user has not signed up on the Automagica Portal but still wishes to use OCR functionality (previously an error was thrown in this case).This requires local installation of an OCR engine (namely
tesseract), and as such a new dependency is added (pytesseracta library for interfacing withtesseract).Because there is an extra step to get this working, I've also added instructions on how to do this in the docs.
I've tested this on Linux (latest Ubuntu and Arch) and Windows and Mac. If there are tests set up, I'd be happy to write tests for this functionality (but I couldn't find any tests).
I have also signed and sent the contributors agreement
Supersedes #119
Fixes #116