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X-LINUX-AI 2.1.1
Compatible with OpenSTLinux Distribution release v2.1.0 and v3.0.1. For further information: https://wiki.st.com/stm32mpu/wiki/X-LINUX-AI_OpenSTLinux_Expansion_Package Signed-off-by: Vincent ABRIOU <[email protected]>
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README.md

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It also provide application samples.
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## Compatibility
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This version has been validated against the OpenSTLinux ecosystem release v2.1.0, v2.0.0 and v1.2.0.
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This version has been validated against the OpenSTLinux ecosystem release v2.1.0, v3.0.1.
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It supports STM32MP157x-DKx, STM32MP157x-EV1 and Avenger96 boards.
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Compatible with Yoto Project build system Dunfell.
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## Available frameworks and tools within the meta-layer
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[X-LINUX-AI v2.1.0 expansion package](https://wiki.st.com/stm32mpu/wiki/X-LINUX-AI_OpenSTLinux_Expansion_Package):
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* TensorFlow Lite 2.4.1
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* armNN 20.11
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* TensorFlow Lite 2.5.0
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* armNN 21.05
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* OpenCV 4.1.x
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* Python 3.8.x (enabling Pillow module)
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* Python 3.8.x (enabling Pillow module)
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* Support STM32MP15xF devices operating at up to 800MHz
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* Support of the Avenger96 board from Linaro™ 96Boards based on the STM32MP157A microprocessor, either with a USB camera or the DesignCore® OV5640 camera mezzanine board from D3 Engineering tested with the OpenSTLinux Distribution v2.1.0
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* Coral Edge TPU accelerator support
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* libedgetpu 2.4.1 (built from source) aligned with TensorFlow Lite 2.4.1
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* The X-LINUX-AI OpenSTLinux Expansion Package v2.1.0 is compatible with Yocto Project® build systems Thud and Dunfell. As a consequence, it is compatible with OpenSTLinux Distributions v1.2.0, v2.0.0 and v2.1.0 on STM32MP157C-DK2 with a USB camera, and on STM32MP157A-EV1 and STM32MP157C-EV1 with their built-in camera module
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* libedgetpu 2.5.0 (built from master branch source code) and aligned with TensorFlow Lite 2.5.0
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* The X-LINUX-AI OpenSTLinux Expansion Package v2.1.1 is compatible with Yocto Project® build systems Dunfell. As a consequence, it is compatible with OpenSTLinux Distributions v2.x and v3.x on STM32MP157C-DK2 with a USB camera, and on STM32MP157A-EV1 and STM32MP157C-EV1 with their built-in camera module
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* Support for the OpenSTLinux AI package repository allowing the installation of prebuilt package using apt-* utilities
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* Application samples
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* C++ / Python™ image classification application using TensorFlow™ Lite based on MobileNet v1 quantized model
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* C++ image classification application using armNN TensorFlow™ Lite parser based on MobileNet v1 float model
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* C++ object detection application using armNN TensorFlow™ Lite parser based on COCO SSD MobileNet v1 quantized model
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* C++ face recognition application using proprietary model capable of recognizing the face of a known (enrolled) user. Contact the local STMicroelectronics support for more information about this application or send a request to [[email protected]](mailto:[email protected])
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* Application support 720p, 480p and 272p display configurations
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* Application user interface with updated look and feel
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## Further information on how to install and how to use
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<https://wiki.st.com/stm32mpu/wiki/X-LINUX-AI_OpenSTLinux_Expansion_Package>

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