Skip to content
New issue

Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.

By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.

Already on GitHub? Sign in to your account

Exclude uncommon letters from text detection #83

Open
fallscameron01 opened this issue May 20, 2022 · 0 comments · May be fixed by #82
Open

Exclude uncommon letters from text detection #83

fallscameron01 opened this issue May 20, 2022 · 0 comments · May be fixed by #82
Assignees
Labels
enhancement Advancement or augmentation of an already existing feature text Tasks relating to any form of text detection or processing vision Pertaining to visual stream handling and data processing of the data from the drone sensors

Comments

@fallscameron01
Copy link
Member

Some letters can be mirrors of more common letters. For example, 'W' can be similar to an 'M' rotated 180 degrees. Uncommon letters should be excluded/mapped to more common letters.

@fallscameron01 fallscameron01 added enhancement Advancement or augmentation of an already existing feature vision Pertaining to visual stream handling and data processing of the data from the drone sensors text Tasks relating to any form of text detection or processing labels May 20, 2022
@fallscameron01 fallscameron01 self-assigned this May 20, 2022
@fallscameron01 fallscameron01 linked a pull request May 20, 2022 that will close this issue
@fallscameron01 fallscameron01 linked a pull request May 20, 2022 that will close this issue
Sign up for free to join this conversation on GitHub. Already have an account? Sign in to comment
Labels
enhancement Advancement or augmentation of an already existing feature text Tasks relating to any form of text detection or processing vision Pertaining to visual stream handling and data processing of the data from the drone sensors
Projects
None yet
Development

Successfully merging a pull request may close this issue.

1 participant