# Integrating with the rpicam-apps framework

**URL:** <https://community.memryx.com/t/integrating-with-the-rpicam-apps-framework/118>\
**Category:** Technical Support\
**Created:** [August 21, 2025, 8:04pm UTC](https://community.memryx.com/t/integrating-with-the-rpicam-apps-framework/118 "2025-08-21T20:04:57Z")\
**Posts on this page:** 2\
**Page:** 1

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**Author:** ![smat32](https://avatars.discourse-cdn.com/v4/letter/s/e495f1/32.png) [@smat32](https://community.memryx.com/u/smat32)\
**Post date:** [August 21, 2025, 8:04pm UTC](https://community.memryx.com/t/integrating-with-the-rpicam-apps-framework/118/1 "2025-08-21T20:04:57Z")

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Any examples on how to efficiently inference on the mapped arrays in picamera 2 or the request buffers in rpicam apps c++ framework?

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**Author:** ![mx-tim](https://yyz2.discourse-cdn.com/flex008/user_avatar/community.memryx.com/mx-tim/32/62_2.png) [@mx-tim](https://community.memryx.com/u/mx-tim)\
**Post date:** [August 25, 2025, 6:34pm UTC](https://community.memryx.com/t/integrating-with-the-rpicam-apps-framework/118/2 "2025-08-25T18:34:12Z")

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Hi smat32,

Sorry but we don’t have any examples made for that yet. Instead we’d recommend moving the captured array data into an opencv::mat object, thus basically emulating what happens with opencv `VideoCapture.read()` . With this modification, our C++ [tutorials](https://developer.memryx.com/tutorials/tutorials.html) or [example apps](https://github.com/memryx/MemryX_eXamples) should be able to work then.