sudo dpkg --add-architecture i386 sudo apt-get update
Many SigmaStar deployment scripts depend on bash . By default, Ubuntu uses dash for /bin/sh , which causes syntax errors during SDK compilation. Reset it by running: sudo dpkg-reconfigure dash Use code with caution.
: SigmaStarDocs (Comake) provides module-specific APIs for DISP, VDEC, and Audio.
source build/envsetup.sh
Fix: This happens when /bin/sh targets dash instead of bash . Re-run sudo dpkg-reconfigure dash and firmly select .
The IPU SDK handles AI model inference acceleration on SigmaStar chips, supporting multiple concurrent channels and flexible buffer management.
If you only need to rebuild specific components during development, you can target them individually: ./make_all.sh uboot Use code with caution. Build Kernel Only: ./make_all.sh kernel Use code with caution. Build Rootfs Only: ./make_all.sh rootfs Use code with caution. Step 5: Locating Output Images sigmastar sdk install
Or for low-memory versions, you may use a configuration with an lr suffix.
Most SDKs use a project-based configuration. Navigate to the root and run:
Unpack the source code to your workspace. sudo dpkg --add-architecture i386 sudo apt-get update Many
has emerged as a major player in the embedded vision and AI IoT market, providing high-performance System-on-Chips (SoCs) for IP cameras, smart doorbells, and industrial vision applications. To fully leverage the capabilities of these chips, you need a robust, properly installed Software Development Kit (SDK).
After extraction, you’ll see a directory structure like:
What does your custom board use (SPI Nor, SPI Nand, or eMMC)? The IPU SDK handles AI model inference acceleration
Begin by preparing your system for 32-bit library compatibility, which many toolchains require. Run the following command to add the i386 architecture:
Inspect key variables: