Refactor: Centralize image preprocessing pipeline to resolve redundant OpenCV reads#129
Open
abhiram123467 wants to merge 6 commits intohumanai-foundation:mainfrom
Open
Conversation
Adds Setup and How to Run sections to README.md with clear instructions for new contributors.
Updated ResNet18 and ResNet34 to classify 3 classes instead of 1000. Added fully connected layers and flattening before classification.
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.
This PR addresses Issue #127 by cleaning up scattered and duplicated image preprocessing code across the repository. Previously, various scripts and Jupyter notebooks implemented their own cv2.imread and grayscale conversion logic, leading to duplicate code and potential shape-unpacking bugs when images varied in channel depth.