Add perceptual (YIQ) image diff with anti-alias suppression#360
Merged
Conversation
Up to standards ✅🟢 Issues
|
| Metric | Results |
|---|---|
| Complexity | 24 |
| Duplication | 0 |
NEW Get contextual insights on your PRs based on Codacy's metrics, along with PR and Jira context, without leaving GitHub. Enable AI reviewer
TIP This summary will be updated as you push new changes.
|
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
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Outdated suggestions cannot be applied.This suggestion has been applied or marked resolved.Suggestions cannot be applied from pending reviews.Suggestions cannot be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.



image_differencecounts raw per-channel max-delta pixels andssim_compareis a global score — neither uses a perceptual colour metric nor ignores anti-aliased edges, the #1 source of false-positive visual-diff failures across DPI / font-hinting.perceptual_diff(AC_perceptual_diff): compares pixels in YIQ space (pixelmatch's colour metric) and by default removes thin 1px anti-aliased edge differences via a morphological open, so only solid changes count (include_aa=Truekeeps them). ReturnsPerceptualDiffResult(diff_pixels,total_pixels,diff_ratio,regions).assert_perceptual/ executormax_diff_ratio: gate a visual-regression test (raises over budget).color_region's RGB loader +cv2_utils.blobs.connected_boxes(no copies); injectable image pair → headless-testable (a 1px fringe → 0 diffs with AA suppression, a solid block → counted). Base OpenCV. Wired through all 5 layers + headless test + EN/Zh docs + WHATS_NEW. Qt-free.