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xfeatures2d: reduce test avg memory consumption #3722

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merged 1 commit into from
Apr 17, 2024

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Merge together with opencv/opencv#25424

@asmorkalov asmorkalov merged commit 5cc1a44 into opencv:4.x Apr 17, 2024
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asmorkalov pushed a commit to opencv/opencv that referenced this pull request Apr 17, 2024
features2d: reduce accuracy test avg memory consumption #25424

**Merge with contrib**: opencv/opencv_contrib#3722

I've observed high memory consumption in the `opencv_test_features2d` (x86_64, Ubuntu 22.04, Debug):

![image](https://github.com/opencv/opencv/assets/3304494/419d65d9-d727-4d1e-bdec-dbde6681c188)
It's always more than 180 MiB with peak at 535 MiB

This was caused by pointers to the algorithm object instances stored in the tests parameters. I've replaced them with factory functions/lambdas with the following result:

![image](https://github.com/opencv/opencv/assets/3304494/bd4ff0ea-3db4-4ab8-8e6d-192a3826e99c)
Now peak is at 355 MiB and permanent consumption level is ~ 1-2 MiB


**Note:** current peak is caused by KAZE features allocating 8x image size utility buffers. Not sure if we can or should do anything about it: https://github.com/opencv/opencv/blob/66fb5021e9253e3decab376d00322eaf2b279c89/modules/features2d/src/kaze/KAZEFeatures.cpp#L61-L68
@mshabunin mshabunin deleted the fix-features2d-test branch April 17, 2024 17:24
@asmorkalov asmorkalov mentioned this pull request Apr 19, 2024
klatism pushed a commit to klatism/opencv that referenced this pull request May 17, 2024
features2d: reduce accuracy test avg memory consumption opencv#25424

**Merge with contrib**: opencv/opencv_contrib#3722

I've observed high memory consumption in the `opencv_test_features2d` (x86_64, Ubuntu 22.04, Debug):

![image](https://github.com/opencv/opencv/assets/3304494/419d65d9-d727-4d1e-bdec-dbde6681c188)
It's always more than 180 MiB with peak at 535 MiB

This was caused by pointers to the algorithm object instances stored in the tests parameters. I've replaced them with factory functions/lambdas with the following result:

![image](https://github.com/opencv/opencv/assets/3304494/bd4ff0ea-3db4-4ab8-8e6d-192a3826e99c)
Now peak is at 355 MiB and permanent consumption level is ~ 1-2 MiB


**Note:** current peak is caused by KAZE features allocating 8x image size utility buffers. Not sure if we can or should do anything about it: https://github.com/opencv/opencv/blob/66fb5021e9253e3decab376d00322eaf2b279c89/modules/features2d/src/kaze/KAZEFeatures.cpp#L61-L68
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2 participants