initial text detection
dyslexic-accessible font output

Readme

Created for Tartanhacks 2020

Built using Python, Pytorch, OpenCV, pytesseract modules and CRAFT-pytorch.

People with dyslexia sometimes aren't able to read important text in public places, such as safety instructions, lecture notes, and street signs.

This application simply takes a picture provided by the user, detects regions with text, extracts the text, and re-displays the image with captions written in dyslexic-accessible font.

Easy as pie!

Challenges Getting the dyslexic font to work was surprisingly difficult. Also I had originally intended to do this on top of a live video stream but the computation was quite a lot.

Built With

Updates

Collin Abidi posted an update — Feb 15, 2020 01:38 PM EST

NOTE: For some reason I can't get GitHub to add the subfolder in the repository that I did all of my work in (because I based my work on the CRAFT-Pytorch repo).

Log in or sign up for Devpost to join the conversation.

Collin Abidi started this project — Feb 15, 2020 01:23 PM EST

Leave feedback in the comments!

Log in or sign up for Devpost to join the conversation.