xfeatures2d: reduce test avg memory consumption #3722
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asmorkalov
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Apr 17, 2024
asmorkalov
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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):  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:  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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klatism
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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):  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:  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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Merge together with opencv/opencv#25424