Welcome to the Introduction to Zephyr course! You will find all of the example projects and solution code for the example projects in this repository. Follow the Development Environment: Espressif and Getting Started sections below to set up the Zephyr and ESP32 toolchain
The full Introduction to Zephyr video series can be found here:
Note: The video series and development environment were built specifically around the ESP32. You are welcome to try a non-Espressif board, but I cannot promise it will work. Also, some features (e.g. WiFi) might not be available. There are notes after the Getting Started section on how to build Docker images for other targets.
This is a development environment for creating Docker images with the Zephyr toolchain used to build source code for the ESP32. You build the image for your desired toolchain, store projects in the workspace/ directory, and then run the image whenever you want to build (e.g. west build
) the project. The intention is to use this environment as your VS Code working directory, but it is usable outside of VS Code.
Note: the instructions below were verified with Python 3.12 running on the host system. If one of the pip install steps fails, try installing exactly Python 3.12 and running the command again with
python3.12 -m pip install ...
You have a few options for using this development environment:
- (Default) The container runs code-server so that you can connect to
localhost:8800
via a browser to get a pre-made VS Code instance - Run the image. In your local VS Code, install the Dev Containers extension. Connect to the running container. Select File > Open Workspace from File... and select the /zephyr.code-workspace file when prompted.
- Override the image's entrypoint to get an interactive shell to run editing programs (e.g.
vim
,mcedit
) and build (e.g.west build
)
Before you start, install the following programs on your computer:
- (Windows) WSL 2
- Docker Desktop
- Python
Windows users will likely need to install the virtual COM port (VCP) drivers from SiLabs.
Open a terminal, navigate to this directory, and install the following dependencies:
Linux/macOS:
python -m venv venv
source venv/bin/activate
python -m pip install pyserial==3.5 esptool==4.8.1
Windows (PowerShell):
Set-ExecutionPolicy -Scope CurrentUser -ExecutionPolicy Unrestricted -Force
python -m venv venv
venv\Scripts\activate
python -m pip install pyserial==3.5 esptool==4.8.1
From this directory, build the image (this will take some time):
docker build -t env-zephyr-espressif -f Dockerfile.espressif .
NOTE: If you see an
Unsupported architecture
error, you may need to set the CPU architecture manually. Add--build-arg TARGETARCH=amd64
(orarm64
, depending on your CPU) to yourdocker build
command.
You can ignore the warning about setting the password as an ARG
in the Dockerfile. The container is fairly unsecure anyway; I only recommend running it locally when you need it. You will need to change the password and configure code-server and sshd to be more secure if you want to use it remotely.
Run the image in VS Code Server mode. Note that it mounts the local workspace/ directory into the container! We also expose ports 3333 (OpenOCD), 2222 (mapped from 22 within the container for SSH), and 8800 (code-server).
Linux/macOS:
docker run --rm -it -p 3333:3333 -p 2222:22 -p 8800:8800 -v "$(pwd)"/workspace:/workspace -w /workspace env-zephyr-espressif
Windows (PowerShell):
docker run --rm -it -p 3333:3333 -p 2222:22 -p 8800:8800 -v "${PWD}\workspace:/workspace" -w /workspace env-zephyr-espressif
Alternatively, you can run the image in interactive mode by adding the --entrypoint /bin/bash
argument. This will allow you to skip running the VS Code server in the background.
With the Docker image built, you have a few options to connect to the development environment: browser, Dev Containers, SSH. Choose one of the options below.
Open a browser and navigate to http://localhost:8800/.
Important! Take note of the two directories in your VS Code instance:
- /workspace is the shared directory between your host and container.
- /opt/toolchains/zephyr is the Zephyr RTOS source code. It is for reference only and should not be modified!
Dev Containers is a wonderful extension for letting you connect your local VS Code to a Docker container. Feel free to read the official documentation to learn more.
In your local VS Code, install the Dev Containers extension.
Open the command palette (Ctrl+Shift+P) and search for Dev Containers: Attach to Running Container. Click it, and you should see a container of your env-zephyr-espressif image running. Click the container from the list. A new VS Code window will open and install the required dependencies.
Go to File > Open Workspace from File.. and select the /zephyr.code-workspace file when prompted. Enter the password again if requested. This should configure your VS Code workspace with the /workspace directory mapped from the host along with /opt/toolchains/zephyr and /opt/toolchains/modules so you can browse the Zephyr RTOS source files.
If you want to develop Zephyr applications using your local instance of VS Code, you can connect to the running container using SSH. This will allow you to use your custom themes, extensions, settings, etc.
In your local VS Code, install the Remote - SSH extension.
Open the extension in VS Code and create a new connection: root@localhost:2222.
Connect and login using the password in the Dockerfile (default: zephyr
). Go to File > Open Workspace from File.. and select the /zephyr.code-workspace file when prompted. Enter the password again if requested. This should configure your VS Code workspace with the /workspace directory mapped from the host along with /opt/toolchains/zephyr and /opt/toolchains/modules so you can browse the Zephyr RTOS source files.
I recommend installing the following VS Code extensions to make working with Zephyr easier (e.g. IntelliSense). Note that the zephyr.code-worspace file will automatically recommend them.
Open a terminal in the VS Code client and build the project. Note that I'm using the ESP32-S3-DevKitC as my target board. Feel free to change it to one of the other ESP32 dev boards.
cd apps/01_demo_blink
west build -p always -b esp32s3_devkitc/esp32s3/procpu -- -DDTC_OVERLAY_FILE=boards/esp32s3_devkitc.overlay
With some luck, the blink sample should build. The binary files will be in workspace/apps/blink/build/zephyr, which you can flash using esptool.
Connect a USB cable from your computer to the UART port on the development board. If you do not see the serial/COM port on your host OS, you might need to install the necessary SiLabs VCP driver. In a new terminal on your host computer, activate the Python virtual environment (Linux/macOS: source venv/bin/activate
, Windows: venv\Scripts\activate
) if not done so already.
Flash the binary to your board. For some ESP32 boards, you need to put it into bootloader by holding the BOOTSEL button and pressing the RESET button (or cycling power). Change <PORT>
to the serial port for your ESP32 board (e.g. /dev/ttyS0
for Linux, /dev/tty.usbserial-1420
for macOS, COM7
for Windows). You might also need to install a serial port driver, depending on the particular board.
Important! make sure to execute flashing and serial monitor programs from your host OS (not from within the Docker container)
python -m esptool --port "<PORT>" --chip auto --baud 921600 --before default_reset --after hard_reset write_flash -u --flash_mode keep --flash_freq 40m --flash_size detect 0x0 workspace/apps/01_blink/build/zephyr/zephyr.bin
Important: If you are using Linux and get a
Permission denied
orPort doesn't exist
error when flashing, you likely need to add your user to the dialout group with the following command:sudo usermod -a -G dialout $USER
. Log out and log back in (or restart). You should then be able to call the esptool command again to flash the firmware.
Open a serial port for debugging. Change <PORT>
to the serial port for your ESP32 board.
python -m serial.tools.miniterm "<PORT>" 115200
You should see the LED state printed to the console. Exit with ctrl+] (or cmd+] for macOS).
IMPORTANT! This is an experimental Docker image for building Zephyr applications for the Raspberry Pi RP2x line of processors (e.g. RP2040). I cannot promise all demo applications from the course will work.
The Raspberry Pi Pico is capable of acting as a USB serial device (in CDC-ACM mode) for console interactivity. That means you will need to enable USB CDC-ACM mode in Kconfig and map the console to the USB device in the Devicetree. I have added example rpi_pico.conf and rpi_pico.overlay files in workspace/apps/01_demo_blink/boards that show how to do this. You will need to use the settings in these files to get the console (e.g. printk()
and printf()
) to work in other demos.
Build the image:
docker build -t env-zephyr-rp2 -f Dockerfile.rp2 .
Run the image on Linux/macOS:
docker run --rm -it -p 3333:3333 -p 2222:22 -p 8800:8800 -v "$(pwd)"/workspace:/workspace -w /workspace env-zephyr-rp2
Run the image on Windows (PowerShell):
docker run --rm -it -p 3333:3333 -p 2222:22 -p 8800:8800 -v "${PWD}\workspace:/workspace" -w /workspace env-zephyr-rp2
Connect to the container by following one of the methods given in the Espressif version of Connect to Container.
Build demo application:
cd apps/01_demo_blink
west build -p always -b rpi_pico -- -DDTC_OVERLAY_FILE=boards/rpi_pico.overlay -DEXTRA_CONF_FILE=boards/rpi_pico.conf
Hold the BOOTSEL button on the board and plug in the USB cable. From your host computer, copy workspace/apps/01_demo_blink/build/zephyr/zephyr.uf2 to the UF2 drive.
Activate the Python virtual environment (Linux/macOS: source venv/bin/activate
, Windows: venv\Scripts\activate
) if not done so already. Use miniterm (or your serial terminal of choice):
python -m serial.tools.miniterm "<PORT>" 115200
For more information about configuring the console over USB CDC ACM, see the following resources:
- https://docs.zephyrproject.org/latest/connectivity/usb/device/usb_device.html
- https://docs.zephyrproject.org/latest/samples/subsys/usb/console/README.html
All software in this repository, unless otherwise noted, is licensed under the Apache-2.0 license.