- Last edited one month ago ago
How to install and use the X-LINUX-AI SDK add-on
1 Article purpose
This article describes how to install and use the X-LINUX-AI SDK add-on. The X-LINUX-AI SDK add-on extends the OpenSTLinux SDK with AI functionality to develop and build an AI application easily. It is available from the X-LINUX-AI product web page.
2.1 Install the OpenSTLinux SDK
First of all, you must download and install the OpenSTLinux SDK, which contains all the basis needed for the X-LINUX-AI add-on. To do this, follow the first four sections of the OpenSTLinux SDK installation guide. Once this has been done, you have a directory containing the OpenSTLinux SDK.
3 X-LINUX-AI SDK add-on installation
3.1 Download the X-LINUX-AI SDK add-on
To add the Artificial Intelligence part into the OpenSTLinux SDK, you must download and install the X-LINUX-AI SDK add-on. The add-on is delivered through a tarball file named : en.SDK-x86_64-stm32mp1-openstlinux-5.15-yocto-kirkstone-mp1-v22.06.15-addon-x-linux-ai-v2.2.0.tar.xz. It can be downloaded here: X-LINUX-AI SDK add-on.
3.2 Install the X-LINUX-AI SDK add-on
After that, you must uncompress the tarball file in your OpenSTLinux SDK directory. First, copy the add-on to the OpenSTLinux SDK directory:
cp ~/Downloads/en.SDK-x86_64-stm32mp1-openstlinux-5.15-yocto-kirkstone-mp1-v22.06.15-addon-x-linux-ai-v2.2.0.tar.xz $HOME/STM32MPU_workspace/STM32MP1-Ecosystem-v4.0.0/Developer-Package/SDK
Then, move to your OpenSTLinux SDK directory:
Finally, uncompress the tarball:
tar xJf en.SDK-x86_64-stm32mp1-openstlinux-5.15-yocto-kirkstone-mp1-v22.06.15-addon-x-linux-ai-v2.2.0.tar.xz
3.3 Start the SDK
The add-on is now installed into the OpenSTLinux SDK. You can start the SDK. Go to your OpenSTLinux SDK directory and source the environment:
cd $HOME/STM32MPU_workspace/STM32MP1-Ecosystem-v4.0.0/Developer-Package/SDK source environment-setup-cortexa7t2hf-neon-vfpv4-ostl-linux-gnueabi
4 Use the SDK
4.1 Build an application with the SDK
Once the SDK is correctly set up, the applications can be built easily. In this example, it is the image classification application that is built.
Download the github repository:
Go to the image classification directory:
Then, use the make command to build the application:
A new file is displayed, named label_tfl_gst_gtk. This is a binary file, which has been generated using the make command. It is compiled for the STM32MP1x architecture. It must now be transferred to the board.
4.2 Use the application
Once the STM32MP1x board is correctly set up and the X-LINUX-AI packages are installed with the right version, it is possible to send the application to the board.
To do it, use the following command using your own IP address:
scp -r -p label_tfl_gst_gtk root@<ip_address>:/usr/local/demo-ai/computer-vision/tflite-image-classification/bin/
Then, use the ssh protocol to connect to the board:
On the board, go to the right directory and use the image classification script to launch the application:
cd /usr/local/demo-ai/computer-vision/tflite-image-classification/bin/ ./launch_bin_label_tfl_mobilenet.sh
This script is using the label_tfl_gst_gtk application that has been compiled before.