only inferring a single image frame once for a huge performance boost #299
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
|
This resolves these issues: |
|
Thanks for your contribution! We'll try to merge once tests pass. |
|
Accidentally closed this PR... reopened as #301 |
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Outdated suggestions cannot be applied.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.
When I first used darknet_ros, I discovered a single image frame from a video camera was being used as the same input for inference redundantly up to 70 times on my NVidia Quadro RTX 3000!
So to use far less processing resources unnecessarily, this PR simply keeps track of the last consumed image frame ID to ensure it doesn't infer with it again.