Adding image-splitter that uses Canny-Edge detection.#4
Open
iamgroot42 wants to merge 1 commit intoFreeUKGen:masterfrom
Open
Adding image-splitter that uses Canny-Edge detection.#4iamgroot42 wants to merge 1 commit intoFreeUKGen:masterfrom
iamgroot42 wants to merge 1 commit intoFreeUKGen:masterfrom
Conversation
This file contains hidden or 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
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
1 participant
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
Addresses issue #1
Using the fact that pages are more-or-less of the same size, and that there is some space between them, I have to build a method to split such given images into two pages. This method does not require any training or annotations. Based on the assumption that the images won't be too rotated, it will give good results.
Some visualizations from the given sample dataset are:
Left half:
Right half:
This method is quite fast: it splits all the given images in a matter of seconds and does not require high-end GPUs or deep machine-learning models (or humongous data) to train it.