Unified jpeg benchmark #1844
Merged
Unified jpeg benchmark #1844
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
Codecov Report
@@ Coverage Diff @@
## master #1844 +/- ##
======================================
Coverage 87% 87%
======================================
Files 937 937
Lines 48420 48420
Branches 6054 6054
======================================
+ Hits 42324 42325 +1
+ Misses 5094 5093 -1
Partials 1002 1002
Flags with carried forward coverage won't be shown. Click here to find out more.
Continue to review full report at Codecov.
|
Sign up for free
to join this conversation on GitHub.
Already have an account?
Sign in to comment
2 participants
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Outdated suggestions cannot be applied.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.
Prerequisites
Description
This PR adds 'unified' jpeg decoder benchmark with different kinds of jpeg images for somewhat baseline performance comparison of new code/optimizations. I've mainly used already existing images for this benchmark it by no means has all of different jpeg kinds - no progressive 4:4:4 for example. Benchmark image collection should naturally grow over time.
I've also restructured formats behcmarks folder to this instead of a one big folder of all formats benchmarks:
