Fix large cpu consumption in snowboy detect #395
Merged
Conversation
This file contains 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
embie27
added a commit
to embie27/speech_recognition
that referenced
this pull request
Dec 18, 2018
|
Thanks for the patch! Looks good. |
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Outdated suggestions cannot be applied.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.
Hello.
Current code collect really large buffer and put in snowboy detect every time where new chunk reading, without clearing. This create large cpu consumption - 80-85% on my orange pi.
I change it, using an algorithm similar to snowboydecoder.py (put smaller buffer and clear after). This decrease cpu usage to 4%.
I use similar code on my project and this works without problems.