1. Article purpose[edit source]
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. Prerequisites[edit source]
2.1. Install the OpenSTLinux SDK[edit source]
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 instructions given in STM32MP1_Developer_Package#Installing_the_SDK chapter. Once this has been done, you have a directory containing the OpenSTLinux SDK.
3. X-LINUX-AI SDK add-on installation[edit source]
3.1. Download the X-LINUX-AI SDK add-on[edit source]
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 that can be downloaded here: X-LINUX-AI SDK add-on.
3.2. Install the X-LINUX-AI SDK add-on[edit source]
Once the X-LINUX-AI SDK add-on is downloaded, uncompress the add-on:
cd ~/Downloads/ tar xzf en.SDK-x86_64-stm32mp1-openstlinux-5.15-yocto-kirkstone-mp1-v22.11.23-addon-x-linux-ai-v3.0.0.tar.gz
Then, copy the .sh script to your OpenSTLinux SDK directory:
cp stm32mp1-openstlinux-5.15-yocto-kirkstone-mp1-v22.11.23-addon-x-linux-ai-v3.0.0/st-image-ai-openstlinux-weston-stm32mp1-x86_64-toolchain-4.0.4-openstlinux-5.15-yocto-kirkstone-mp1-v22.11.23-addon-x-linux-ai-v3.0.0.sh $HOME/STM32MPU_workspace/STM32MP1-Ecosystem-v4.1.0/Developer-Package/SDK
Finally, run the script contained in the tarball:
cd $HOME/STM32MPU_workspace/STM32MP1-Ecosystem-v4.1.0/Developer-Package/SDK ./st-image-ai-openstlinux-weston-stm32mp1-x86_64-toolchain-4.0.4-openstlinux-5.15-yocto-kirkstone-mp1-v22.11.23-addon-x-linux-ai-v3.0.0.sh
Optionally, once the script is executed, you can delete it.
rm *.sh
3.3. Start the SDK[edit source]
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-v4.1.0/Developer-Package/SDK source environment-setup-cortexa7t2hf-neon-vfpv4-ostl-linux-gnueabi
Check that the SDK is properly installed:
x-linux-ai -v X-LINUX-AI version: v3.0.0
4. Use the SDK[edit source]
4.1. Build an application with the SDK[edit source]
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:
git clone https://github.com/STMicroelectronics/meta-st-stm32mpu-ai.git
Go to the image classification directory:
cd meta-st-stm32mpu-ai/recipes-samples/tflite-cv-apps/files/image-classification/src
Then, use the make command to build the application:
make
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[edit source]
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:
ssh root@<ip_address>
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.