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20 September 2024
| N 14:39 | On-device learning overview diffhist +1,081 Registered User (Created page with "== What is On-device Learning ? == On-device training refers to the process of training a machine learning model directly on an edge device where the data is being collected without relying on cloud services or external servers. This is in contrast to training a model on a server or a cloud. This approach is becoming increasingly popular and has several advantages: * '''Enhancing data confidentiality''' and personal privacy protection for the sensitive data that cannot...") | ||||
16 September 2024
| N 15:52 | How to find the description of a color format and check its support diffhist +2,268 Registered User (Created page with "<noinclude> {{ApplicableFor |MPUs list=STM32MP13x, STM32MP15x, STM32MP25x |MPUs checklist=STM32MP13x, STM32MP15x, STM32MP25x }} </noinclude> https://en.wikipedia.org/wiki/FourCC {| class="st-table" |+ ! Software framework !! Examples & Include links !! Support check !! Comments |- | Linux<sup>®</sup> kernel DRM KMS framework | {{CodeSource | Linux kernel | include/uapi/drm/drm_fourcc.h | include/uapi/drm/drm_fourcc.h}} DRM_FORMAT_ARGB8888 (...") | ||||
13 September 2024
| N 08:24 | How to run inference using the STAI MPU Python API diffhist +657 Registered User (Created page with "{{ApplicableFor |MPUs list=STM32MP13x, STM32MP15x, STM32MP25x |MPUs checklist=STM32MP13x, STM32MP15x, STM32MP25x }} <noinclude></noinclude> == Article purpose == This article describes how to run an inference on the STM32MPx using the STAI MPU Python API. It is an example based on an image classification application. The unified architecture of the API allows deploying the same application on all the STM32MPx platforms using several model formats. {{Info| This article...") | ||||
11 September 2024
| N 16:36 | How to run inference using the STAI MPU C++ API diffhist +490 Registered User (Created page with "== 1. Article purpose == This article describes how to run an inference on the STM32MPx using the STAI MPU C++ API. It is an example based on an image classification application. The unified architecture of the API allows deploying the same application on all the STM32MPx platforms. {{Information| This article provides a simple inferencing example using the STAI MPU C++ API. If you wish to explore all the functions provided by the API, please refer to the STAI MPU C++...") | ||||
10 September 2024
| N 15:40 | STAI MPU Python Reference diffhist +8,863 Registered User (Introduce python API reference) | ||||
| N 11:56 | STAI MPU C++ Reference diffhist +6,120 Registered User (Introducing STAI_MPU C++ API Reference (stai_mpu_network class interface)) | ||||
| N 11:08 | Category:AI - Frameworks diffhist +2 Registered User (Created page with "th") | ||||
9 September 2024
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12:16 | PRG-TOOLBOX-DFU release note 2 changes history +49 [Registered User (2×)] | |||
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| N 11:27 | How to configure the Weston screen orientation diffhist +844 Registered User (Created page with "{{ApplicableFor |MPUs list=STM32MP13x, STM32MP15x, STM32MP25x |MPUs checklist=STM32MP13x, STM32MP15x, STM32MP25x }} <noinclude></noinclude> * Edit and change the value of the <code>transform</code> variable in the <code>output</code> section of the <code>weston.ini</code> Weston configuration file<ref name="weston.ini">[http://manpages.ubuntu.com/manpages/latest/man5/weston.ini.5.html Ubuntu weston.ini manpage]</ref> {{Board$}}cat /etc/xdg/weston/weston.ini ... # DSI...") | ||||