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embedded-firmware

Required Hardware:

  1. Supersensor Board

  2. ARM Cortex debugger like JLINK debugger (e.g. J-Link EDU Mini) OR MAX32625PICO.

  3. USB cables depending on the type of USB ports of your computer

Prerequisites:

  1. Install Vistual Studio Code (I use it because it is very flexible, you may use Eclipse or your preferred IDE)

    Visual Studio Code - Code Editing. Redefined

  2. Intall GNU make. This step may vary depending on the operating sytem you are using. Following are some pointers

    MAC, Windows, Ubuntu

  3. Install GNU Arm Embedded Toolchain

    GNU Toolchain | GNU Arm Embedded Toolchain Downloads - Arm Developer

  4. Download MAX78000 SDK. The SDK is hosted on GitHub and is a submodule of the ai8x-sythesis repository. To get the SDK and all the additional supporting files, clone the ai8x-sythesis repository including submodules and save it somewhere other than your project directory.

    git clone --recursive https://github.com/MaximIntegratedAI/ai8x-synthesis

  5. Download and install OpenOCD. Installing OpenOCD directly from package managers like brew or apt may not work for MAX78000. You will need to clone it from GitHub and build it manually on your computer. First clone the repository

    git clone --recursive https://github.com/MaximIntegratedMicros/openocd

    Please refer to "OpenOCD Dependencies" in the repository to make sure you have everything ready. Basically, you need to have make, libtool, pkg-config, autoconf, automake, texinfo, libusb, and hidapi installed in order to build OpenOCD. Installing hidapi is tricky. First clone it from GitHub.

    git clone --recursive https://github.com/libusb/hidapi.git

    Go to hidapi directory from terminal and run

    ./bootstrap
./configure
sudo make
sudo make install

    Now, go to OpenOCD directory from terminal and follow below steps

    • You need to tell the build system where to look for hidapi and libusb packages. I was able to build on Ubuntu without this step, but needed this for Mac. Find where these packages are installed and change the paths in the command below.

      export PKG_CONFIG_PATH=/usr/local/Cellar/hidapi/0.10.1/lib/pkgconfig/:/usr/local/Cellar/libusb/1.0.24/lib/pkgconfig/

    • Run

      ./bootstrap
./configure --enable-cmsis-dap --enable-jlink
sudo make
sudo make install

  6. Install PySerial. This is needed to see printf messages.

  7. Now, clone embedded-firmware repo somewhere on your computer

    git clone https://gitlab.com/ka-moamoa/supersensor/software/runtime/embedded-firmware/

  8. To fetch Ink-Kernel submodule, run the following command in terminal.

    git submodule update --init --remote

Visual Studio Code Setup:

  1. Setup 2 environmental variables that will be used to specify the Maxim path and ARM_GCC path(both should be the root folder). Run the commands below in a shell to set the environmental variables temporarily. To permanently set them, add these lines to the end of your ~/.profile or ~/.bash_profile or ~/.zprofile depending on your shell setup.

    export MAXIM_PATH="path to your maxim sdk folder"
export ARM_PATH="path to gcc-arm-none-eabi folder"

  2. Now, you can build by either running make release in the terminal in VS code or using tasks that are defined in tasks.json in .vscode directory. To do this, press F1 and write Tasks: Run Build Task, then click on build-release.

  3. To upload the code, press F1 then Tasks: Run Build Task, and click on flash-jlink or flash-cmsis-dap for MAX78000EVKIT depending on the debugger you are using, and click on flash-cmsis-dap for MAX78000FTHR.

  4. To clean a previous build, press F1 then Tasks: Run Build Task, and click on clean.

  5. You may set up VS Code keyboard shortcuts to make clean, build and flash process smoother and faster

  6. Install Cortex-Debug extension in VS Code. Change adapter driver to cmsis-dap here. A run symbol on left side bar in VS Code will appear. Click on it and then click green run button on top left. This will build the code and you will see the pointer on main(). Now you can put breakpoints and start debugging as you like. Happy debugging :)

  7. Open terminal, change usb device path in the command below and run. Start executing instructions in debug mode to see all printf messages in the terminal. You may use any other serial tools for this.

    miniterm.py /dev/cu.usbserial-D30754YD 115200

Building New Apps

Please refer to MaximAI repository to see how ML applications can be built