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
Merge with contrib: https://github.com/opencv/opencv_contrib/pull/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