We are pleased to announce a new Yocto release Honister for our Nitrogen8 family of SBCs and SOMs based on i.MX 8 processors. This release includes our latest 5.10 kernel. Below you will find download links for the images as well as detailed instructions for building including a features set.
For the Impatient
You can download the Yocto images from here:
- For Nitrogen8M platform:
- For Nitrogen8M Mini platform:
- For Nitrogen8M Nano platform:
- For Nitrogen8M Plus platform:
Update 20220315 changelog:
- Update to Kernel/Linux version 5.10.104
As usual, you’ll need to register on our site and agree to the EULA because it contains NXP content.
How to Burn
You can program the SW to eMMC using the instructions below:
You can also program the SW to SD Card or USB Stick via zcat and dd under Linux:
~$ zcat *boundary-image*.wic.gz | sudo dd of=/dev/sdX bs=1M
In addition, you can use the balenaEtcher utility to flash the eMMC, SD Card or USB stick via Windows or Linux:
This image uses the honister branch of our boundary-bsp-platform repository.
To build the image, we recommend using a Docker Container so that you can build with a reproducible and stable build environment. Otherwise, you’ll need these packages installed as well as this repo tool that can be installed like this:
~$ sudo apt-get install repo
Then create your build directory and initialize everything.
~$ mkdir ~/honister && cd honister ~/honister$ repo init -u https://github.com/boundarydevices/boundary-bsp-platform -b honister ~/honister$ repo sync
Next, setup the environment for building. For this image we will be building the fslc-xwayland distro for the target machine
~/honister$ MACHINE=<MACHINE> DISTRO=fslc-xwayland . setup-environment build
Now bitbake boundary-image-multimedia-full which is equivalent to fsl-image-multimedia-full with Boundary-specific packages added such as BD-SDMAC support.
~/honister/build$ bitbake boundary-image-multimedia-full
After some time this should build the same image as above, with the layers being at commits as per the time when repo sync was executed. If you are interested in each project revision at the time of the build, you can find a frozen manifest for those images here.
The image file will deploy to
The image built above contains the following components:
- Linux kernel 5.10.x_2.0.0
- U-Boot 2020.10
- Weston 9.0.0 for i.MX
- GStreamer 1.18.0 for i.MX
- GPU Vivante libraries 6.4.3p2.2
- VPU Hantro libraries v1.24.0
- ISP VVCAM v18.104.22.168
- qcacld-lea-3.1 Wi-Fi driver for BD-SDMAC
- BlueZ 5.61 with support for BD-SDMAC
The next sub-sections will describe how to test most features.
Please make sure your platform includes the latest U-Boot:
This version of U-Boot supports the display configuration, allowing to use any of the following displays:
- HDMI display (up to 4k, 1080p recommended)
- 7″ 1280×800 BD070LIC2
- 10″ 1280×800 BD101LCC2
Note that we’ve noticed that the NXP HDMI driver is picky when it comes to custom display timings (sometimes refuses to set the clock).
So if you are experiencing any issue with HDMI, please try entering the following commands in U-Boot in order to force the use of standard timings:
=> setenv cmd_custom 'setenv bootargs $bootargs drm_kms_helper.edid_firmware=HDMI-A-1:edid/1280x720.bin' => saveenv
As usual, in order to test the GPU you can use the example apps provided by Vivante:
root@<MACHINE>:~# /opt/imx-gpu-sdk/GLES2/Blur/GLES2.Blur_Wayland -d
Camera MIPI-CSI input can be checked using our OV5640 MIPI with GStreamer:
root@<MACHINE>:~# gst-launch-1.0 v4l2src device=/dev/video0 ! \ video/x-raw,width=1280,height=720 ! waylandsink
Basler camera input
This build fully supports the Basler daA3840 8MP camera from Basler when using our Nitrogen 8M Plus which is part of our Evaluation Kit:
isp-vvcam driver and
imx8-isp service are loaded automatically when the camera is detected.
From there a simple GStreamer pipeline will allow you to see the stream:
root@nitrogen8mp:~# gst-launch-1.0 -v v4l2src device=/dev/video0 ! waylandsink ... [ 352.348796] wdr3 res: 1920 1080 [ 352.352471] enter isp_mi_start [ 357.581179] ###### 62.42 fps ###### [ 362.771924] ###### 62.42 fps ######
eth0 interface is up, you can use
iperf3 to check Ethernet performances:
root@<MACHINE>:~# iperf3 -c 192.168.1.60 Connecting to host 192.168.1.60, port 5201 [ 5] local 192.168.1.13 port 32880 connected to 192.168.1.60 port 5201 [ ID] Interval Transfer Bitrate Retr [ 5] 0.00-10.00 sec 1.09 GBytes 938 Mbits/sec 0 sender [ 5] 0.00-10.04 sec 1.09 GBytes 932 Mbits/sec receiver
Wi-Fi can be tested with nmcli as shown below:
root@<MACHINE>:~# nmcli d wifi connect <network_name> password <password> root@<MACHINE>:~# iw wlan0 link Connected to a4:3e:51:08:54:f6 (on wlan0) SSID: Jabu_5GHz freq: 5240 RX: 3243 bytes (31 packets) TX: 9117 bytes (48 packets) signal: -79 dBm tx bitrate: 15.0 MBit/s MCS 0 40MHz short GI root@<MACHINE>:~# ping google.com -Iwlan0 PING google.com (22.214.171.124): 56 data bytes 64 bytes from 126.96.36.199: seq=0 ttl=55 time=3.470 ms ...
For products with a Silex bluetooth module, you’ll be able to connect using our handy silex-uart script with the following commands:
root@<MACHINE>:~# hciconfig hci0 up root@<MACHINE>:~# hcitool scan Scanning ...
If your platform supports VPU decoding, here is an example on how to test it using the gplay tool:
root@<MACHINE>:~# wget http://linode.boundarydevices.com/videos/Hobbit-1080p.mov root@<MACHINE>:~# gplay-1.0 /home/root/Hobbit-1080p.mov
Here is a simple example that shows how to encode a video stream from the camera into H.264 using the VPU encoder:
root@<MACHINE>:~# gst-launch-1.0 -v -e v4l2src device=/dev/video0 ! 'video/x-raw,width=1920,height=1080' \ ! vpuenc_h264 ! filesink location=test.h264 ^C root@<MACHINE>:~# gst-launch-1.0 filesrc location=test.h264 typefind=true ! 'video/x-h264' ! \ h264parse ! vpudec ! waylandsink
For platforms with CAN, you’ll be able to bring up the interface(s) using this following command:
root@<MACHINE>:~# ip link set can0 up type can bitrate 500000
From this point, you can use commands such as cansend and candump to send or display messages on the bus respectively.
NPU support is fully integrated into this build when using our Nitrogen 8M Plus with TensorFlowLite and ARMNN support of the NPU.
You can find various example demos here:
If you have any issues, please email firstname.lastname@example.org