Requirements: Host machine with Ubuntu 14.04 UDOO Quad/Dual Board uSD card with at least 8 GB Download documentation and install latest Official Udoobuntu OS (at the moment of writing: UDOObuntu 2.1.2), https://www.udoo.org/downloads/   Overview: This document describes how to install and test Keras (Open source neural network library) and Theano (numerical computation library for python ) for deep learning library usage on i.MX6QD UDOO board.  Installation: $ sudo apt-get update && sudo apt-get upgrade update your date system: e.g. $ sudo date -s “07/08/2017 12:00” First satisfy the run-time and build time dependencies: $ sudo apt-get install python-software-properties software-properties-common make unzip zlib1g-dev git pkg-config autoconf automake libtool curl  python-pip python-numpy libblas-dev liblapack-dev python-dev libatlas-base-dev gfortran libhdf5-serial-dev libhdf5-dev python-setuptools libyaml-dev libpython2.7-dev $ sudo easy_install scipy The last step is installing scipy through pip, and can take several hours. Theano First, we have a few more dependencies to get: $sudo pip install scikit-learn $sudo pip install pillow $sudo pip install h5py With these dependencies met, we can install a stable Theano release from the git source: $ git clone https://github.com/Theano/Theano $ cd Theano Numpy 1.9 cause conflicts with armv7, so we need to change the setup.py configuration: $ sudo nano setup.py Remove line    #       install_requires=['numpy>=1.9.1', 'scipy>=0.14', 'six>=1.9.0'], And add setup_requires=["numpy"], install_requires=["numpy"], Then install it: $ sudo python setup.py install Keras The installation can occur with the command: (this could take a lot of time!!!) $ cd .. $ git clone https://github.com/fchollet/keras.git $ cd keras $ sudo python setup.py install $ LC_ALL=C $sudo pip install --upgrade keras After Keras is installed, you will want to edit the Keras configuration file ~/.keras/keras.json to use Theano instead of the default TensorFlow backend. If it isn't there, you can create it. This requires changing two lines. The first change is: "image_dim_ordering": "tf"  --> "image_dim_ordering": "th" and the second: "backend": "tensorflow" --> "backend": "theano" (The final file should look like the example below) sudo nano ~/.keras/keras.json {     "image_dim_ordering": "th",     "epsilon": 1e-07,     "floatx": "float32",     "image_data_format": "channels_last",     "backend": "theano" } You can also define the environment variable KERAS_BACKEND and this will override what is defined in your config file : $ KERAS_BACKEND=theano python -c "from keras import backend" Testing Quick test: udooer@udoo:~$ python Python 2.7.6 (default, Oct 26 2016, 20:46:32) [GCC 4.8.4] on linux2 Type "help", "copyright", "credits" or "license" for more information. >>> import keras Using Theano backend. >>>  Test 2: Be aware this test take some time (~1hr on udoo dual): $ curl -sSL -k https://github.com/fchollet/keras/raw/master/examples/mnist_mlp.py | python Output: For demonstration, deep-learning-models repository provided by pyimagesearch and from fchollet git, and also have three Keras models (VGG16, VGG19, and ResNet50) online — these networks are pre-trained on the ImageNet dataset, meaning that they can recognize 1,000 common object classes out-of-the-box. $ cd keras $ git clone https://github.com/fchollet/deep-learning-models $ Cd deep-learning-models $ ls -l Notice how we have four Python files. The resnet50.py , vgg16.py , and vgg19.py  files correspond to their respective network architecture definitions. The imagenet_utils  file, as the name suggests, contains a couple helper functions that allow us to prepare images for classification as well as obtain the final class label predictions from the network Classify ImageNet classes with ResNet50 ResNet50 model, with weights pre-trained on ImageNet. This model is available for both the Theano and TensorFlow backend, and can be built both with "channels_first" data format (channels, height, width) or "channels_last" data format (height, width, channels). The default input size for this model is 224x224. We are now ready to write some Python code to classify image contents utilizing  convolutional Neural Networks (CNNs) pre-trained on the ImageNet dataset. For udoo Quad/Dual use ResNet50 due to avoid space conflict. Also we are going to use ImageNet (http://image-net.org/) that is an image database organized according to the WordNet hierarchy, in which each node of the hierarchy is depicted by hundreds and thousands of images. from keras.applications.resnet50 import ResNet50 from keras.preprocessing import image from keras.applications.resnet50 import preprocess_input, decode_predictions import numpy as np   model = ResNet50(weights='imagenet')   #for this sample I download the image from: http://i.imgur.com/wpxMwsR.jpg  img_path = 'elephant.jpg' img = image.load_img(img_path, target_size=(224, 224)) x = image.img_to_array(img) x = np.expand_dims(x, axis=0) x = preprocess_input(x)   preds = model.predict(x) # decode the results into a list of tuples (class, description, probability) # (one such list for each sample in the batch) print('Predicted:', decode_predictions(preds, top=3)[0]) Save the file an run it. Results for elephant image: Top prediction was 0.8890 for African Elephant Testing with this image: http://i.imgur.com/4FIOwAN.jpg Results: Top prediction was: 0.7799 for golden_retriever. Now your Udoo is ready to use Keras and Theano as Deep Learning libraries, next time we are going to show some usage example for image classification models with OpenCV. References: GitHub - fchollet/keras: Deep Learning library for Python. Runs on TensorFlow, Theano, or CNTK.  GitHub - Theano/Theano: Theano is a Python library that allows you to define, optimize, and evaluate mathematical expres…  GitHub - fchollet/deep-learning-models: Keras code and weights files for popular deep learning models.  Installing Keras for deep learning - PyImageSearch 

Platform: i.mx8qm/qxp OS: imx-yocto-L4.14.98_2.0.0_ga Camera: max9286 deserializer <=> max96705 serializer  + ar0144 or: max9286 deserializer <=> max96705 serializer + ov9284 Note that currently only one camera is support and the serializer should be connected to the IN0 of max9286. Data format: ar0144: mono raw 12bit. ov9284: mono raw 10bit. On imx8qm/qxp the data will be recieved as raw 16bit and the valid data bit start from bit[13] to LSB. for mono raw 12bit the valid data bit is 0bxxdd_dddd_dddd_ddxx for mono raw 10bit the valid data bit is 0bxxdd_dddd_dddd_xxxx max9286 and max96705 configuration: dbl bws PXL_CRC/edc hven hibw lccen him should be the same on both sides, this can be achieved by pin or register configurations. The crossbar function of max96705 can be used to fix the reversed data bit. for example, reversed 12bit with dbl to 1. 0x20 0xb 0x21 0xa 0x22 0x9 ....... 0x2b 0x0 0x30 0xb 0x31 0xa .... 0x3b 0x0 0x20 to 0x2b and 0x30 to 0x3b are the registers of max96705. Patch apply: 1. push the kernel-patch to the kernel source and apply it. 2. reconfig the kernel setting, make sure there is only CONFIG_MAX9286_AR0144 or        CONFIG_MAX9286_WISSEN(ov9284) enabled, all other max9286 related are disabled. You can run menuconfig to achieve this. 3. For testing copy the vulkan-v4l2.tar to the board, and run vulkan-v4l2.     the source code is at https://github.com/sheeaza/vulkan-v4l2 branch ar0144 for ar0144, branch ov9284 for ov9284. =========== updated patch for data format.

Check new updated version for with Morty here Step 1 : Get iMX Yocto AVS setup environment Review the steps under Chapter 3 of the i.MX_Yocto_Project_User'sGuide.pdf on the L4.X LINUX_DOCS to prepare your host machine. Including at least the following essential Yocto packages $ sudo apt-get install gawk wget git-core diffstat unzip texinfo \   gcc-multilib build-essential chrpath socat libsdl1.2-dev u-boot-tools Install the i.MX NXP AVS repo Create/Move to a directory where you want to install the AVS yocto build enviroment. Let's call this as <yocto_dir> $ cd <yocto_dir> $ repo init -u https://source.codeaurora.org/external/imxsupport/meta-avs-demos -b master -m imx7d-pico-avs-sdk_4.1.15-1.0.0.xml Download the AVS BSP build environment: $ repo sync Step 2: Setup yocto for Alexa_SDK image with AVS-SETUP-DEMO script: Run the avs-setup-demo script as follows to setup your environment for the imx7d-pico board: $ MACHINE=imx7d-pico DISTRO=fsl-imx-x11 source avs-setup-demo.sh -b <build_sdk> Where <build_sdk> is the name you will give to your build folder. After acepting the EULA the script will prompt if you want to enable: Sound Card selection The following Sound Cards are supported on the build: SGTL (In-board Audio Codec for PicoPi) 2-Mic Conexant The script will prompt if you are going to use the Conexant Card. If not then SGTL will be assumed as your selection Are you going to use Conexant Sound Card [Y/N]? Install Alexa SDK Next option is to select if you want to pre-install the AVS SDK software on the image. Do you want to build/include the AVS_SDK package on this image(Y/N)? If you select YES, then your image will contain the AVS SDK ready to use (after authentication). Note this AVS_SDK will not have WakeWord detection support, but it can be added on runtime. If your selection was NO, then you can always manually fetch and build the AVS_SDK on runtime. All the packages dependencies will be already there, so only fetching the AVS_SDK source code and building it is required. Finish avs-image configuration At the end you will see a text according with the configuration you select for your image build. Next is an example for a Preinstalled AVS_SDK with Conxant Sound Card support and WiFi/BT not enabled. ==========================================================   AVS configuration is now ready at conf/local.conf             - Sound Card = Conexant                                     - AVS_SDK pre-installed                                       You are ready to bitbake your AVS demo image now:               bitbake avs-image                                        ========================================================== Step 3: Build the AVS image Go to your <build_sdk> directory and start the build of the avs-image There are 2 options Regular Build: $ cd <yocto_dir>/<build_sdk> $ bitbake avs-image With QT5 support included: $ cd <yocto_dir>/<build_sdk> $ bitbake avs-image-qt5 The image with QT5 is useful if you want to add some GUI for example to render DisplayCards. Step 4 : Deploying the built images to SD/MMC card to boot on target board. After a build has succesfully completed, the created image resides at <build_sdk>/tmp/deploy/images/imx7d-pico/ In this directory, you will find the imx7d-pico-avs.sdcard image or imx7d-pico-avs-qt5.sdcard, depending on the build you chose on Step3. To Flash the .sdcard image into the eMMC device of your PicoPi board follow the next steps: Download the bootbomb flasher Follow the instruction on Section 4. Board Reflashing of the Quick Start Guide for AVS kit to setup your board on flashing mode. Copy the built SDCARD file $ sudo dd if=imx7d-pico-avs.sdcard of=/dev/sd bs=1M && sync $ sync Properly eject the pico-imx7d board: $ sudo eject /dev/sd NXP Documentation Refer to the Quick Start Quide for AVS SDK to fully setup your PicoPi board with Synaptics 2Mic and PicoPi i.mx7D For a more comprehensive understanding of Yocto, its features and setup; more image build and deployment options and customization, please take a look at the i.MX_Yocto_Project_User's_Guide.pdf document from the Linux documents bundle mentioned at the beginning of this document. For a more detailed description of the Linux BSP, u-boot use and configuration, please take a look at the i.MX_Linux_User's_Guide.pdf document from the Linux documents bundle mentioned at the beginning of this document.

Basic Linear Algebra Subprograms (BLAS) is a specification that prescribes a set of low-level routines for performing common linear algebra operations such as vector addition, scalar multiplication, dot products, linear combinations, and matrix multiplication. OpenBLAS is an optimized BLAS library which is uesd for deep learning accelerator in Caffe/Caffe2. I enable it in Yocto (Rocko) by adding bb file. And I build on i.MX6QP, i.MX7ULP and i.MX8MQ and also run its test example successfully. You can find test example(openblas_utest) under folder image/opt/openblas/bin of OpenBLAS work directory. Currently, version 0.3.0 is supported in the bb file. +++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++++ update to v 0.3.6 and enable mutli-thread by set USE_OPENMP=1 and USE_THREAD=4 when compiling this library.

In defaut Linux BSP, NXP implemented LVDS to HDMI(it6263) and MIPI-DSI to HDMI(adv7535) bridge chip drivers. And these drivers need read the EDID from display, then apply the timing parameters to DRM driver. But for the use case that bridge chip -> Serializer -> Deserializer -> LCD Panel use case, there is no EDID. The attached are reference patches for such use case, it combined the bridge chip to panel directly, and no EDID is needed. The patches are tested on iMX8QXP MEK with bridge chip + panel mode, both of them can see the fb0 device under /sys/class/graphics/ folder, also can see card under  /sys/class/drm/. Display works fine with DTS selected 720P panel mode. [2020-06-24]: Add patches for L4.14.98 kernel: Android_Auto_P9.0.0_GA2.1.0_Kernel_No_EDID_IT6263.patch L4.14.98-iMX8QXP-MEK-ADV7535-MIPI-DSI-to-HDMI-bridge-chip-com.patch

The user interface has limited the use of the tool GUI Guider. Getting an interaction only through a mouse or touchscreen can be enough for some use cases. However, sometimes the use case requires to go beyond its limitations. This video/appnote explores the possibility of integrating voice by creating a bridge between a speech recognition technology, such as VIT, and the interface creator GUI Guider. It uses a universal way to link all the voice recognition commands and a wakeword to any interaction created by GUI Guider. The following video shows the steps necessary to create that connection by creating the voice recognition using VIT voice commands and wakewords, create an interface of GUI Guider using a template, how to connect between them using the board i.MX 93 evk and testing it. For more information consult the following links AppNote HTML: https://docs.nxp.com/bundle/AN14270/page/topics/abstract.html?_gl=1*1glzg9k*_ga*NDczMzk4MDYuMTcxNjkyMDI0OA..*_ga_WM5LE0KMSH*MTcxNjkyMDI0OC4xLjEuMTcxNjkyMDcyMy4wLjAuMA AppNote PDF: https://www.nxp.com/docs/en/application-note/AN14270.pdf Associated File: AN14270SW  

What is a device tree? The device tree is a data structure that is passed to the Linux kernel to describe the physical devices in a system. Before device trees came into use, the bootloader (for example, U-Boot) had to tell the kernel what machine type it was booting. Moreover, it had to pass other information such as memory size and location, kernel command line, etc. Sometimes, the device tree is confused with the Linux Kernel configuration, but the device tree specifies what devices are available and how they are accessed, not whether the hardware is used. The device tree is a structure composed of nodes and properties: Nodes: The node name is a label used to identify the node. Properties: A node may contain multiple properties arranged with a name and a value. Phandle: Property in one node that contains a pointer to another node. Aliases: The aliases node is an index of other nodes. A device tree is defined in a human-readable device tree syntax text file such as .dts or .dtsi. The machine has one or several .dts files that correspond to different hardware configurations. With these .dts files we can compile them into a device tree binary (.dtb) blobs that can either be attached to the kernel binary (for legacy compatibility) or, as is more commonly done, passed to the kernel by a bootloader like U-Boot. What is Devshell? The Devshell is a terminal shell that runs in the same context as the BitBake task engine. It is possible to run Devshell directly or it may spawn automatically. The advantage of this tool is that is automatically included when you configure and build a platform project so, you can start using it by installing the packages and following the setup of i.MX Yocto Project User's Guide on section 3 “Host Setup”. Steps: Now, let’s see how to compile your device tree files of i.MX devices using Devshell. On host machine. Modify or make your device tree on the next path: - 64 bits. ~/imx-yocto-bsp/<build directory>/tmp/work-shared/<machine>/kernel-source/arch/arm64/boot/dts/freescale - 32 bits. ~/imx-yocto-bsp/<build directory>/tmp/work-shared/<machine>/kernel-source/arch/arm/boot/dts To compile, it is needed to prepare the environment as is mentioned on i.MX Yocto Project User's Guide on section 5.1 “Build Configurations”. $ cd ~/imx-yocto-bsp $ DISTRO=fsl-imx-xwayland MACHINE=<machine> source imx-setup-release.sh -b <build directory> $ bitbake -c devshell virtual/kernel (it will open a new window) On Devshell window. $ make dtbs (after finished, close the Devshell window) On host machine. $ bitbake -c compile -f virtual/kernel $ bitbake -c deploy -f virtual/kernel This process will compile all the device tree files linked to the machine declared on setup environment and your device tree files will be deployed on the next path: ~/imx-yocto-bsp/<build directory>/tmp/deploy/images/<machine> I hope this article will be helpful. Best regards. Jorge.

    The meta layer is designed for those guys who want to use i.MX8M series SOC and Yocto system to develop AGV and Robot.    The platform includes some key components: 1, ROS1 (kinetic, melodic) and ROS2(dashing, eloquent, foxy) 2, Real-time Linux solution : Xenomai 3.1 with ipipe 5.4.47 patch 3, Industrial protocol : libmodbus, linuxptp, ros-canopen, EtherCAT(TBD) 4, Security: Enhanced OpenSSL, Enhanced GmSSL, Enhanced eCryptfs, secure key store, secure boot(TBD), SE-Linux(TBD),  Dm-verity(TBD) The first release bases on i.MX Yocto release L5.4.47 2.2.0 and You need download Linux 5.4.47_2.2.0 according to​​ https://www.nxp.com/docs/en/user-guide/IMX_YOCTO_PROJECT_USERS_GUIDE.pdf  firstly. And then you can follow the below guide to build and test ROS and Xenomai. A, clone meta-robot-platform from gitee.com git clone https://gitee.com/zxd2021-imx/meta-robot-platform.git git checkout v0.1-L5.4.47-2.2.0 B, Adding the meta-robot-platform layer to your build 1,  copy meta-robot-platform into <i.MX Yocto folder>/source 2, You should create a symbol link: setup-imx-robot.sh -> sources/meta-robot-platform/imx/meta-robot/tools/setup-imx-robot.sh C, How to build Robot image (example for i.MX8MQ EVK board) $ DISTRO=imx-robot-xwayland MACHINE=imx8mqevk source setup-imx-robot.sh -r kinetic -b imx8mqevk-robot-kinetic [or DISTRO=imx-robot-xwayland MACHINE=imx8mqevk source setup-imx-robot.sh -r melodic -b imx8mqevk-robot-melodic ] [or DISTRO=imx-robot-xwayland MACHINE=imx8mqevk source setup-imx-robot.sh -r dashing -b imx8mqevk-robot-dashing ] [or DISTRO=imx-robot-xwayland MACHINE=imx8mqevk source setup-imx-robot.sh -r eloquent -b imx8mqevk-robot-eloquent ] [or DISTRO=imx-robot-xwayland MACHINE=imx8mqevk source setup-imx-robot.sh -r foxy -b imx8mqevk-robot-foxy ] $ bitbake imx-robot-core [or bitbake imx-robot-system ] [or bitbake imx-robot-sdk ] And if you add XENOMAI_KERNEL_MODE = "cobalt" or XENOMAI_KERNEL_MODE = "mercury" in local.conf, you also can build real-time image with Xenomai by the below command: $ bitbake imx-robot-core-rt [or bitbake imx-robot-system-rt ] D, Robot image sanity testing //ROS1 Sanity Test #source /opt/ros/kinetic/setup.sh [or # source /opt/ros/melodic/setup.sh ] #echo $LD_LIBRARY_PATH #roscore & #rosnode list #rostopic list #only kinetic #rosmsg list #rosnode info /rosout //ROS2 Sanity Test #source ros_setup.sh #echo $LD_LIBRARY_PATH #ros2 topic list #ros2 msg list #only dashing #ros2 interface list #(sleep 5; ros2 topic pub /chatter std_msgs/String "data: Hello world") & #ros2 topic echo /chatter E, Xenomai sanity testing #/usr/xenomai/demo/cyclictest -p 50 -t 5 -m -n -i 1000 F, vSLAM demo You can find orb-slam2 demo under <i.MX Yocto folder>/sources/meta-robot-platform/imx/meta-robot/recipes-demo/orb-slam2. You should choose DISTRO=imx-robot-xwayland due to it depends on OpenCV with gtk+.   //////////////////////////////////////// update for Yocto L5.4.70 2.3.0  /////////////////////////////////////////////////////////// New release package meta-robot-platform-v0.2-L5.4.70-2.3.0 for Yocto release L5.4.70 2.3.0 and it supports i.MX8M series (8MQ,8MM,8MN and 8MP) and i.MX8QM/QXP.  git clone https://gitee.com/zxd2021-imx/meta-robot-platform.git git checkout v0.2-L5.4.70-2.3.0 Updating: 1, Support i.MX8QM and i.MX8QXP 2, Add ROS driver of RPLIDAR and Orbbec 3D cameras in ROS1 3, Upgrade OpenCV to 3.4.13. 4, Add imx-robot-agv image with orb-slam2 demo 5, Fix the issue which failed to create image when adding orb-slam2 6, Fix the issue which failed to create imx-robot sdk image when add package ISP and ML Note: Currently, orb-slam2 demo don't run on i.MX8MM platform due to its GPU don't support OpenGL ES3. imx-robot-sdk image is just for building ROS package on i.MX board, not  for cross-compile. You can try "bitbake imx-robot-system -c populate_sdk" to create cross-compile sdk without gmssl-bin. diff --git a/imx/meta-robot/recipes-core/images/imx-robot-system.bb b/imx/meta-robot/recipes-core/images/imx-robot-system.bb index 1991ab10..68f9ad31 100644 --- a/imx/meta-robot/recipes-core/images/imx-robot-system.bb +++ b/imx/meta-robot/recipes-core/images/imx-robot-system.bb @@ -35,7 +35,7 @@ CORE_IMAGE_EXTRA_INSTALL += " \ ${@bb.utils.contains('DISTRO_FEATURES', 'x11 wayland', 'weston-xwayland xterm', '', d)} \ ${ISP_PKGS} \ " -IMAGE_INSTALL += " clblast openblas libeigen opencv gmssl-bin" +IMAGE_INSTALL += " clblast openblas libeigen opencv" IMAGE_INSTALL += " \ ${ML_PKGS} \   //////////////////////////////////////// Update for Yocto L5.4.70 2.3.2  /////////////////////////////////////////////////////////// New release package meta-robot-platform-v0.3-L5.4.70-2.3.2 for Yocto release L5.4.70 2.3.2 .  git clone https://gitee.com/zxd2021-imx/meta-robot-platform.git git checkout v0.3-L5.4.70-2.3.2 Updated: 1, Upgrade to L5.4.70-2.3.2 2, Enable xenomai rtdm driver 3, Add NXP Software Content Register and BSP patches of i.MX8M Plus AI Robot board. Note: How to build for AI Robot board 1, DISTRO=imx-robot-wayland MACHINE=imx8mp-ddr4-ipc source setup-imx-robot.sh -r melodic -b imx8mp-ddr4-ipc-robot-melodic 2, Add BBLAYERS += " ${BSPDIR}/sources/meta-robot-platform/imx/meta-imx8mp-ai-robot " in bblayers.conf 3, bitbake imx-robot-sdk or bitbake imx-robot-agv   //////////////////////////////////////// Update for v1.0-L5.4.70-2.3.2  /////////////////////////////////////////////////////////// New release package meta-robot-platform-v1.0-L5.4.70-2.3.2 .  git clone https://gitee.com/zxd2021-imx/meta-robot-platform.git git checkout v1.0-L5.4.70-2.3.2 Updated: 1, Upgrade ROS1 Kinetic Kame to Release 2021-05-11 which is final sync. 2, Add IgH EtherCAT Master for Linux in i.MX Robot platform. //////////////////////////////////////// Update for v1.1-L5.4.70-2.3.2  /////////////////////////////////////////////////////////// New release package meta-robot-platform-v1.1-L5.4.70-2.3.2 .  git clone https://gitee.com/zxd2021-imx/meta-robot-platform.git git checkout v1.1-L5.4.70-2.3.2 Updated: 1, Add more packages passed building in ROS1 Kinetic Kame. 2, Change the board name (From IPC to AI-Robot) in Uboot and kernel for i.MX8M Plus AI Robot board. You can use the below setup command to build ROS image for AI Robot board: DISTRO=imx-robot-xwayland MACHINE=imx8mp-ai-robot source setup-imx-robot.sh -r kinetic -b imx8mp-ai-robot-robot-kinetic DISTRO=imx-robot-xwayland MACHINE=imx8mp-ai-robot source setup-imx-robot.sh -r melodic -b imx8mp-ai-robot-robot-melodic DISTRO=imx-robot-xwayland MACHINE=imx8mp-ai-robot source setup-imx-robot.sh -r dashing -b imx8mp-ai-robot-robot-dashing DISTRO=imx-robot-xwayland MACHINE=imx8mp-ai-robot source setup-imx-robot.sh -r eloquent -b imx8mp-ai-robot-robot-eloquent DISTRO=imx-robot-xwayland MACHINE=imx8mp-ai-robot source setup-imx-robot.sh -r foxy -b imx8mp-ai-robot-robot-foxy BTW, you should add BBLAYERS += " ${BSPDIR}/sources/meta-robot-platform/imx/meta-imx8mp-ai-robot " in conf/bblayers.conf.   //////////////////////////////////////// Update for v1.2-L5.4.70-2.3.3  /////////////////////////////////////////////////////////// New release package meta-robot-platform-v1.2-L5.4.70-2.3.3 .  git clone https://gitee.com/zxd2021-imx/meta-robot-platform.git git checkout v1.2-L5.4.70-2.3.3 Updated: 1, Update to Yocto release L5.4.70-2.3.3 2, Enable RTNet FEC driver, test on i.MX8M Mini EVK and i.MX8M Plus EVK. For the detailed information,  Please refer to the community post 移植实时Linux方案Xenomai到i.MX ARM64平台 (Enable Xenomai on i.MX ARM64 Platform)    //////////////////////////////////////// Update for v2.1-L5.10.52-2.1.0  /////////////////////////////////////////////////////////// New release package meta-robot-platform-v2.1-L5.10.52-2.1.0 .  git clone https://gitee.com/zxd2021-imx/meta-robot-platform.git git checkout v2.1.1-L5.10.52-2.1.0 Updated: 1, Update to Yocto release L5.10.52-2.1.0 2, Add ROS1 noetic, ROS2 galactic and rolling 3, Upgrade Xenomai to v3.2 4, Add vSLAM demo orb-slam3 5, Upgrade OpenCV to 3.4.15 for ROS1 A, Adding the meta-robot-platform layer to your build 1,  copy meta-robot-platform into <i.MX Yocto folder>/source 2, You should create a symbol link: setup-imx-robot.sh -> sources/meta-robot-platform/imx/meta-robot/tools/setup-imx-robot.sh B, How to build Robot image (example for i.MX8M Plus EVK board) $ DISTRO=imx-robot-xwayland MACHINE=imx8mpevk source setup-imx-robot.sh -r kinetic -b imx8mpevk-robot-kinetic [or DISTRO=imx-robot-xwayland MACHINE=imx8mpevk source setup-imx-robot.sh -r melodic -b imx8mpevk-robot-melodic ] [or DISTRO=imx-robot-xwayland MACHINE=imx8mpevk source setup-imx-robot.sh -r noetic-b imx8mpevk-robot-noetic] [or DISTRO=imx-robot-xwayland MACHINE=imx8mpevk source setup-imx-robot.sh -r dashing -b imx8mpevk-robot-dashing ] [or DISTRO=imx-robot-xwayland MACHINE=imx8mpevk source setup-imx-robot.sh -r eloquent -b imx8mpevk-robot-eloquent ] [or DISTRO=imx-robot-xwayland MACHINE=imx8mpevk source setup-imx-robot.sh -r foxy -b imx8mpevk-robot-foxy ] [or DISTRO=imx-robot-xwayland MACHINE=imx8mpevk source setup-imx-robot.sh -r galactic -b imx8mpevk-robot-galactic ] [or DISTRO=imx-robot-xwayland MACHINE=imx8mpevk source setup-imx-robot.sh -r rolling -b imx8mpevk-robot-rolling ] $ bitbake imx-robot-agv [or bitbake imx-robot-core ] [or bitbake imx-robot-system ] [or bitbake imx-robot-sdk ]   //////////////////////////////////////// Update for v2.2-L5.10.72-2.2.0  /////////////////////////////////////////////////////////// New release package meta-robot-platform-v2.2-L5.10.72-2.2.0 .  git clone https://gitee.com/zxd2021-imx/meta-robot-platform.git git checkout v2.2.0-L5.10.72-2.2.0 Updated: 1, Update to Yocto release L5.10.72-2.2.0   //////////////////////////////////////// Update for v2.2.3-L5.10.72-2.2.3  /////////////////////////////////////////////////////////// New release package meta-robot-platform-v2.2.3-L5.10.72-2.2.3.  repo init -u https://github.com/nxp-imx/imx-manifest -b imx-linux-hardknott -m imx-5.10.72-2.2.3.xml git clone https://gitee.com/zxd2021-imx/meta-robot-platform.git git checkout v2.2.3-L5.10.72-2.2.3 1,  copy meta-robot-platform into <i.MX Yocto folder>/source 2, You should create a symbol link: setup-imx-robot.sh -> sources/meta-robot-platform/imx/meta-robot/tools/setup-imx-robot.sh Updated: 1, Update to Yocto release L5.10.72-2.2.3 2, Update ISP SDK (isp-imx) patch for Github changing.   //////////////////////////////////////// Update for v3.1-L5.15.71-2.2.0  /////////////////////////////////////////////////////////// New release package meta-robot-platform-v3.1-L5.15.71-2.2.0.  repo init -u https://github.com/nxp-imx/imx-manifest -b imx-linux-kirkstone -m imx-5.15.71-2.2.0.xml git clone https://gitee.com/zxd2021-imx/meta-robot-platform.git git checkout v3.1-L5.15.71-2.2.0 1,  copy meta-robot-platform into <i.MX Yocto folder>/source 2, You should create a symbol link: setup-imx-robot.sh -> sources/meta-robot-platform/imx/meta-robot/tools/setup-imx-robot.sh Updated: 1, Update to Yocto release L5.15.71-2.2.0 and ROS1 Noetic and ROS2 Foxy to last version 2, Add ROS2 Humble and remove EOL distributions (ROS1 Kinetic, Melodic and ROS2 Dashing, Eloquent and Galactic). How to build Robot image (example for i.MX8M Plus EVK board) $DISTRO=imx-robot-xwayland MACHINE=imx8mpevk source setup-imx-robot.sh -r noetic-b imx8mpevk-robot-noetic [or DISTRO=imx-robot-xwayland MACHINE=imx8mpevk source setup-imx-robot.sh -r foxy -b imx8mpevk-robot-foxy ] [or DISTRO=imx-robot-xwayland MACHINE=imx8mpevk source setup-imx-robot.sh -r humble -b imx8mpevk-robot-humble ] $ bitbake imx-robot-sdk [or bitbake imx-robot-core ] [or bitbake imx-robot-system ] [or bitbake imx-robot-agv ]   //////////////////////////////////////// Update for v3.3-L5.15.71-2.2.0  /////////////////////////////////////////////////////////// New release package meta-robot-platform-v3.3-L5.15.71-2.2.0.  repo init -u https://github.com/nxp-imx/imx-manifest -b imx-linux-kirkstone -m imx-5.15.71-2.2.0.xml git clone https://gitee.com/zxd2021-imx/meta-robot-platform.git git checkout v3.3-L5.15.71-2.2.0 1,  copy meta-robot-platform into <i.MX Yocto folder>/source 2, You should create a symbol link: setup-imx-robot.sh -> sources/meta-robot-platform/imx/meta-robot/tools/setup-imx-robot.sh Updated: 1, Add vSLAM ROS demo based on i.MX vSLAM SDK and i.MX AIBot. The demo video is here: Autonomous Navigation with vSLAM, Based on the i.MX 8M Plus Applications Processor   2, Enable DDS Security and SROS2 for ROS 2’s security features. How to build Robot image (example for i.MX8M Plus EVK board) $DISTRO=imx-robot-xwayland MACHINE=imx8mpevk source setup-imx-robot.sh -r noetic-b imx8mpevk-robot-noetic [or DISTRO=imx-robot-xwayland MACHINE=imx8mpevk source setup-imx-robot.sh -r foxy -b imx8mpevk-robot-foxy ] [or DISTRO=imx-robot-xwayland MACHINE=imx8mpevk source setup-imx-robot.sh -r humble -b imx8mpevk-robot-humble ] $ bitbake imx-robot-sdk [or bitbake imx-robot-agv ] [or bitbake imx-robot-system ] [or bitbake imx-robot-core ]   //////////////////////////////////////// Update for v4.0-L6.1.55-2.2.0  /////////////////////////////////////////////////////////// New release package meta-robot-platform-v4.0-L6.1.55-2.2.0.  repo init -u https://github.com/nxp-imx/imx-manifest -b imx-linux-mickledore -m imx-6.1.55-2.2.0.xml git clone https://gitee.com/zxd2021-imx/meta-robot-platform.git git checkout mickledore-6.1.55 1,  copy meta-robot-platform into <i.MX Yocto folder>/source 2, You should create a symbol link: setup-imx-robot.sh -> sources/meta-robot-platform/imx/meta-robot/tools/setup-imx-robot.sh Updated: 1, Migrate i.MX Robot platform to Yocto mickledore with L6.1.55. 2, Add ROS2 iron. How to build Robot image (example for i.MX8M Plus EVK board) $DISTRO=imx-robot-xwayland MACHINE=imx8mpevk source setup-imx-robot.sh -r humble -b imx8mpevk-robot-humble [or DISTRO=imx-robot-xwayland MACHINE=imx8mpevk source setup-imx-robot.sh -r iron -b imx8mpevk-robot-iron ] [or DISTRO=imx-robot-xwayland MACHINE=imx8mpevk source setup-imx-robot.sh -r noetic-b imx8mpevk-robot-noetic] $ bitbake -k imx-robot-sdk [or bitbake imx-robot-agv ] [or bitbake imx-robot-system ] [or bitbake imx-robot-core ]  

Here is an example for i.MX28 EVK board to support SPI NOR boot in uboot, kernel and MFGTool.   Attached files are the patches to support SPI NOR flash on i.MX28 EVK bord based on L2.6.35 ER11.09.01 BSP. It was verified on Spansion s25fl256s SPI NOR. "ER11.09.01_uboot_imx28_spi_nor.patch" is the Uboot patch. "ER11.09.01_kernel_imx28_spi_nor.patch" is the kernel patch. "ucl.xml" is the updated MFGTool config file, please update it to "Mfgtools-Rel\Profiles\MX28 Linux Update\OS Firmware\ucl.xml".   The uboot boot paramters for SPI: setenv bootargs_base 'setenv bootargs console=ttyAM0,115200' setenv loadaddr 0x42000000 setenv bootargs_spi 'setenv bootargs ${bootargs} root=/dev/mtdblock2 rootfstype=jffs2 rootwait rw ip=none' setenv bootcmd_spi 'run bootargs_base bootargs_spi;sf probe 2:0; sf read ${loadaddr} 0x100000 0x300000;bootm' setenv bootcmd 'run bootcmd_spi' saveenv   To boot the board from SPI NOR s25fl256s, the 4KB page region of the NOR should be put to top, the last 128KB of the NOR address space. The uboot.sb is about 220KB, it can't be put to 4KB and 64KB combined region. The IMX28 boot ROM can only handle simple page size for boot. All 4KB page region or all 64KB page region are both OK for boot, but combined region can't boot.   For default, the s25fl256s NOR's 128KB 4KB page size region is at the bottom of the NOR, we should update the OTP to set this region to TOP, in Uboot, we run the followed command to burn the OTP: MX28 U-Boot -> sf probe 2:0 MX28 U-Boot -> sf set_config_reg 0x04   To boot the i.MX28 EVK board from SPI2 NOR flash, the BM3~0 should be 0010.   In this example, we only used the JFFS2 file system. To support the UBIFS, there is a known issue, that the UBIFS will use vmalloc to alloc memory, and if SPI driver used the DMA, kernel will halt with error "kernel BUG at arch/arm/mm/dma-mapping.c:409!".   For 11.09.01 BSP, the default MFGTool rootfs "initramfs.cpio.gz" will be bigger than 4MB, but in i.MX28 bootlets code, the BSP only set ramdisk to 4MB, so we need modify this limitation for MFGTool.   Use command "./ltib -p imx-bootlets -m prep" to get the bootlets code, modify "ltib/rpm/BUILD/imx-bootlets-src-11.09.01/linux_prep/core/setup.c", function setup_initrd_tag(), change from "params->u.initrd.size =  0x00400000;" to "params->u.initrd.size =  0x00500000;". Modify "ltib/rpm/BUILD/imx-bootlets-src-11.09.01/updater.bd" and "updater_ivt.bd", change from "load 0.b    > 0x40800000..0x40c00000;" to "load 0.b    > 0x40800000..0x40d00000;".   Now the MFGTool rootfs size can be 5MB.   2013-05-09: Updated hardware rework: On iMX28 EVK board, rework J89 as followed and mount R320,R321,R322 and C178. MX28 U49 Pin1 /CS <-> NOR Pin7 CS# MX28 U49 Pin2  D0 <-> NOR Pin8 SI/IO1 MX28 U49 Pin5 DIO <-> NOR Pin15 SI/IO0 MX28 U49 Pin6 CLK<-> NOR pin 16 SCK. MX28 U49 Pin8 VCC <-> NOR Pin2 VCC                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                                 MX28 U49 Pin4 GND <-> NOR Pin10 VSS MX28 U49 Pin3 /WP <-> NOR Pin9 WP MX28 U49 Pin7 /Hold <-> NOR Pin pin1 hold   Software reset issue for 32MB SPI NOR: For 32MB SPI NOR, after booted into kernel, the kernel driver will set SPI NOR to 4 bytes address mode, but for iMX28 SPI boot, it can only boot with 3 bytes address mode, if reset the iMX28 board but SPI NOR was not reset, it will fail to reboot. Hardware solution: when iMX28 was reboot, reset the SPI NOR too, the SPI NOR will work in 3 bytes address mode as default. Software solution: In kernel SPI NOR driver, always switch SPI NOR to 3 bytes address mode after each SPI NOR access, and switch to 4 bytes address mode before each access. There is no such issue if the SPI NOR size is less than 32MB.    

Here we show how to generate a minimal root filesystem fairly quickly with BusyBox, for the i.MX6 sabre sd platform. This document assumes you are able to boot a Linux kernel on your platform already. See this post for details on how to do it. This implies you already have a "working" Linux development environment with some ARM cross-compilers at hand (e.g. Debian + Emdebian). busybox is so small that we will go for a ramdisk as our main root filesystem. Get busybox sources We will use git to fetch busybox sources:   $ git clone git://git.busybox.net/busybox This should create a busybox directory with all the latest sources. Note that for more stability you might want to checkout a release instead of the latest version; to do so, list the available release tags with e.g. git tag -l, and git checkout <the-desired-tag>. Compile Assuming your cross compiler is called e.g. arm-linux-gnueabihf-gcc, you can compile by doing:   $ cd busybox   $ export ARCH=arm   $ export CROSS_COMPILE=arm-linux-gnueabihf-   $ make defconfig   $ sed -i.orig 's/^#.*CONFIG_STATIC.*/CONFIG_STATIC=y/' .config   $ make   $ make install This should create an _install folder hierarchy containing binaries and links. Note that we force the build of a static binary with the sed command. Configure the root filesystem We need to add some more configuration into the _install folder before we can call it a minimal filesystem. Create some folders We need to create some mountpoints and folders:   $ mkdir _install/dev   $ mkdir _install/proc   $ mkdir _install/sys   $ mkdir -p _install/etc/init.d Add some configuration files and scripts We need to prepare the main init configuration file, _install/etc/inittab, with this contents:   ::sysinit:/etc/init.d/rcS   ::askfirst:/bin/sh   ::ctrlaltdel:/sbin/reboot   ::shutdown:/sbin/swapoff -a   ::shutdown:/bin/umount -a -r   ::restart:/sbin/init This is very close to the default behavior busybox init has with no inittab file. It just suppresses some warnings about missing tty. We need to add some more configuration to mount a few filesystems at boot for convenience. This is done with an _install/etc/fstab file containing:   proc     /proc proc     defaults 0 0   sysfs    /sys  sysfs    defaults 0 0   devtmpfs /dev  devtmpfs defaults 0 0 We also need to actually trigger the mount in the _install/etc/init.d/rcS script, which is called from the inittab. It should contain:   #!/bin/sh   mount -a And we need to make it executable:   $ chmod +x _install/etc/init.d/rcS Generate the ramdisk contents Now that we have adapted the root filesystem contents, we can generate a busybox ramdisk image for u-boot with the following commands:   $ (cd _install ; find |cpio -o -H newc |gzip -c > ../initramfs.cpio.gz)   $ mkimage -A arm -T ramdisk -d initramfs.cpio.gz uInitrd This results in a uInitrd file, suitable for u-boot. Prepare a boot script The default u-boot commands are not sufficient to boot our system, so we need to edit a boot.txt file with the following contents:   run loaduimage   run loadfdt   setenv rdaddr 0x13000000   fatload mmc ${mmcdev}:$mmcpart $rdaddr uInitrd   setenv bootargs console=${console},${baudrate} rdinit=/sbin/init   bootm $loadaddr $rdaddr $fdt_addr Then we generate a boot.scr script, which can be loaded by u-boot with:   $ mkimage -A arm -T script -d boot.txt boot.scr Put on SD card Assuming you have prepared your SD card with u-boot and Linux as explained in this post, you have a single FAT partition on your card with your kernel and dtb. Our boot script and ramdisk image should be copied alongside:   $ mount /dev/<your-sd-card-first-partition> /mnt   $ cp uInitrd boot.scr /mnt/   $ umount /mnt Your SD card first partition is typically something in /dev/sd<X>1 or /dev/mmcblk<X>p1. Note that you need write permissions on the SD card for the command to succeed, so you might need to su - as root, or use sudo, or do achmod a+w as root on the SD card device node to grant permissions to users. Boot! Your SD card is ready for booting. Insert it in the SD card slot of your i.MX6 sabre sd platform, connect to the USB to UART port with a serial terminal set to 115200 baud, no parity, 8bit data and power up the platform. Your busybox system should boot to a prompt:   ...   Freeing unused kernel memory: 292K (806d5000 - 8071e000)   Please press Enter to activate this console. After pressing enter you should have a functional busybox shell on the target. Enjoy! See also... For a more featured root filesystem you might want to try a Debian filesystem in a second SD card partition, as explained in this post, or generate your filesystem with Buildroot. If you plan to compile busybox often, you might want to use a C compiler cache; see this post.

GmSSL is an open source cryptographic toolbox that supports SM2 / SM3 / SM4 / SM9 and other national secret (national commercial password) algorithm, SM2 digital certificate and SM2 certificate based on SSL / TLS secure communication protocol to support the national security hardware password device , To provide in line with the national standard programming interface and command line tools, can be used to build PKI / CA, secure communication, data encryption and other standards in line with national security applications. For more information, please access GmSSL official website http://gmssl.org/english.html.   Software environments as the belows: Linux kernel: imx_4.14.98_2.0.0_ga cryptodev: 1.9 HW platform: i.MX6UL, i.MX7D/S, i.MX8M/MM, i.MX8QM/QXP. The patches include the following features: 1, Support SM2/SM9 encryption/decryption/sign/verify/key exchange, RSA encryption/decryption, DSA/ECDSA sign/verify, DH/ECDH key agreement, ECC & DLC & RSA key generation and big number operation and elliptic curve math by CAAM hardware accelerating. 2, run "git apply 0001-Enhance-cryptodev-and-its-engine-in-GmSSL-by-CAAM-s-.patch" under folder sources/poky, and "git apply 0001-Add-public-key-cryptography-operations-in-CAAM-drive.patch" under folder sources/meta-fsl-bsp-release for patch these codes. 3, GmSSL Build command: $ tar zxvf GmSSL-master-iMX.tgz $ cd GmSSL-master-iMX (For i.MX8M/MM, i.MX8QM/QXP) $ source /opt/arm-arch64/environment-setup-aarch64-poky-linux  $ ./Configure -DHAVE_CRYPTODEV -DUSE_CRYPTODEV_DIGESTS -DHW_ENDIAN_SWAP  --prefix=~/install64 --openssldir=/etc/gmssl --libdir=/usr/lib no-saf no-sdf no-skf no-sof no-zuc -no-ssl3 shared linux-aarch64 $ make  $ make install                            /*image and config file will be installed to folder ~/install64 */   (For i.MX6UL, i.MX7D/S) $ source /opt/arm-arch32/environment-setup-cortexa7hf-neon-poky-linux-gnueabi $ ./Configure -DHAVE_CRYPTODEV -DUSE_CRYPTODEV_DIGESTS --prefix=~/install32 --openssldir=/etc/gmssl --libdir=/usr/lib no-saf no-sdf no-skf no-sof no-zuc -no-ssl3 shared linux-armv4 $ make  $ make install                            /*image and config file will be installed to folder ~/install32 */   4, How to use GmSSL: copy image gmssl to /usr/bin on i.MX board; copy gmssl libcrypto.so.1.1 and libssl.so.1.1 to /usr/lib on i.MX board; copy folder etc/gmssl to /etc/ on i.MX board. copy test examples (dhtest, dsatest, rsa_test, ecdhtest, ecdsatest, eciestest, sm3test, sms4test, sm2test, sm9test) under GmSSL-master-iMX/test  to U disk for running. You can run test examples by the following commands: #insmod /lib/modules/4.14.98-imx_4.14.98_2.0.0_ga+g5d6cbeafb80c/extra/cryptodev.ko #/run/media/sda1/dhtest #/run/media/sda1/dsatest #/run/media/sda1/rsa_test #/run/media/sda1/ecdhtest #/run/media/sda1/ecdsatest #/run/media/sda1/eciestest #/run/media/sda1/sm3test #/run/media/sda1/sms4test #/run/media/sda1/sm2test #/run/media/sda1/sm9test and speed test commands: #gmssl speed sm2 #gmssl genrsa -rand -f4 512 #gmssl speed dsa #gmssl genrsa -rand -f4 1024 #gmssl speed rsa #gmssl genrsa -rand -f4 2048 #gmssl speed ecdsa #gmssl genrsa -rand -f4 3072 #gmssl speed ecdh #gmssl genrsa -rand -f4 4096   ++++++++++++++++++++++++++++     updating at 2019-09-10   +++++++++++++++++++++++++++++++++++++++++++++ 0001-fix-the-bug-which-hash-and-cipher-key-don-t-use-DMA-.patch fix the issue which dismatching on key buffer between crytodev and caam driver. Crytodev uses stack's buffer for key storage and caam driver use it to dma map which cause flush cache failure. The patch need to apply on cryptodev-module in Yocto build.   ++++++++++++++++++  updating at 2019-10-14 +++++++++++++++++++++++++++++++++++ This updating is for China C-V2X application. The meta-gmcrypto is Yocto layer which bases on GmSSL and Cryptodev. I add HW SM2 verification by dedicated CAAM job descriptor and enhanced SW SM2 verification by precomputed multiples of generator and ARMv8 assembler language to accelerate point  operation. Software environments as the belows: Linux kernel: imx_4.14.98_2.0.0_ga cryptodev: 1.9 HW platform: i.MX8M/MM/MN, i.MX8QM/QXP. How to build: 1, You need to git clone https://gitee.com/zxd2021-imx/meta-gmcrypto.git, and git checkout Linux-4.14.98_2.0.0.  Copy meta-gmcrypto to folder (Yocto 4.14.98_2.0.0_ga dir)/sources/ 2, Run DISTRO=fsl-imx-wayland MACHINE=imx8qxpmek source fsl-setup-release.sh -b build-cv2x and add BBLAYERS += " ${BSPDIR}/sources/meta-cv2x " into (Yocto 4.14.98_2.0.0_ga dir)/build-cv2x/conf/bblayers.conf and  IMAGE_INSTALL_append += " gmssl-bin "  into local.conf 3, Run bitbake fsl-image-validation-imx. 4, You can find cv2x-verify.c under (build dir)/tmp/work/aarch64-poky-linux/cryptodev-tests/1.9-r0/git/tests. It is example for using CAAM cryptdev interface to do C-V2X verification (includes SM2 p256, NIST p256 and brainpoolP256r1).  cv2x_benchmark.c under (build dir)/tmp/work/aarch64-poky-linux/gmssl/1.0-r0/gmssl-1.0/test is the benchmark test program of C-V2X verifying. It includes HW, SW and HW+SW(one CPU) verifying for SM2 p256, NIST p256 and brainpoolP256r1. 5, Run the below command on your i.MX8QXP MEK board. modprobe cryptodev ./cv2x_benchmark Note: the udpated GmSSL also support projective coordinates and affine coordinates (CAAM only support affine coordinates). Affine coordinates is used by default. You can call EC_GROUP_set_coordinates() and EC_GROUP_restore_coordinates() to change coordinates and restore default. When you hope to use some EC APIs under expected coordinates, you need to call EC_GROUP_set_coordinates() before EC APIs and EC_GROUP_restore_coordinates() after them. Like the below example: orig_coordinate = EC_GROUP_set_coordinates(EC_PROJECTIVE_COORDINATES); group = EC_GROUP_new_by_curve_name(NID_sm2p256v1); EC_GROUP_restore_coordinates(orig_coordinate);   ++++++++++++++++++++++++++++     updating at 2020-11-09   +++++++++++++++++++++++++++++++++++++++++++++ This updating is for Yocto release of Linux 5.4.47_2.2.0​​. The meta-gmcrypto is Yocto layer which also support c-v2x feature in previous release.  Software environments as the belows: Linux kernel: imx_5.4.47_2.2.0 cryptodev: 1.10 HW platform: i.MX6UL, i.MX7D/S, i.MX8M/8M Mini/8M Nano/8M Plus, i.MX8/8X. How to build: 1, You need to git clone https://gitee.com/zxd2021-imx/meta-gmcrypto.git, and git checkout Linux-5.4.47-2.2.0. Copy meta-gmcrypto to folder (Yocto 5.4.47_2.2.0 dir)/sources/ 2, Run DISTRO=fsl-imx-xwayland MACHINE=imx8mmevk source imx-setup-release.sh -b build-imx8mmevk and add BBLAYERS += " ${BSPDIR}/sources/meta-gmcrypto " into (Yocto 5.4.47_2.2.0 dir)/build-imx8mmevk/conf/bblayers.conf and  IMAGE_INSTALL_append += " gmssl-bin "  into local.conf 3, Run bitbake fsl-image-validation-imx. 4, You can find cv2x-verify.c under (build dir)/tmp/work/aarch64-poky-linux/cryptodev-tests/1.10caam-r0/git/tests. It is example for using CAAM cryptdev interface to do C-V2X verification (includes SM2 p256, NIST p256 and brainpoolP256r1).  cv2x_benchmark.c under (build dir)/tmp/work/aarch64-poky-linux/gmssl/1.0-r0/gmssl-1.0/test is the benchmark test program of C-V2X verifying. It includes HW, SW and HW+SW(one CPU) verifying for SM2 p256, NIST p256 and brainpoolP256r1. 5, Run the below command on your i.MX8M Mini evk board. modprobe cryptodev ./cv2x_benchmark gmssl speed sm2 gmssl speed dsa gmssl speed rsa gmssl speed ecdsa gmssl speed ecdh gmssl genrsa -rand -f4 -engine cryptodev 4096 Note: 1, the udpated GmSSL also support projective coordinates and affine coordinates (CAAM only support affine coordinates). Affine coordinates is used by default. You can call EC_GROUP_set_coordinates() and EC_GROUP_restore_coordinates() to change coordinates and restore default. When you hope to use some EC APIs under expected coordinates, you need to call EC_GROUP_set_coordinates() before EC APIs and EC_GROUP_restore_coordinates() after them. Like the below example: orig_coordinate = EC_GROUP_set_coordinates(EC_PROJECTIVE_COORDINATES); group = EC_GROUP_new_by_curve_name(NID_sm2p256v1); EC_GROUP_restore_coordinates(orig_coordinate); 2, Yocto Zeus integrates openssl 1.1.1g, so I change library name of gmssl from libcrypto to libgmcrypto and from libssl to libgmssl to avoid name confliction with openssl 1.1.1g (lib name are also libcrypto.so.1.1 and libssl.so.1.1). You should use -lgmcrypto and -lgmssl when you link gmssl library instead of -lcrypto and -lssl.   +++++++++++++++++++++++    updating at 2021-02-08  ++++++++++++++++++++++++++++ This updating is for Yocto release of Linux 5.4.70_2.3.0​​. The package meta-gmcrypto is Yocto layer which also support c-v2x feature in previous release. You need to git clone https://gitee.com/zxd2021-imx/meta-gmcrypto.git, and git checkout Linux-5.4.70-2.3.0.    +++++++++++++++++++++++    updating for Linux-5.10.52-2.1.0  +++++++++++++++++++++++ This updating is for Yocto release of Linux 5.10.52_2.1.0​​. The package meta-gmcrypto is Yocto layer which also support c-v2x feature in previous release.  1, You need to git clone https://gitee.com/zxd2021-imx/meta-gmcrypto.git, and git checkout Linux-5.10.52-2.1.0.  Copy meta-gmcrypto to folder (Yocto 5.10.52_2.1.0 dir)/sources/. 2, Run DISTRO=fsl-imx-xwayland MACHINE=imx8mmevk source imx-setup-release.sh -b build-imx8mmevk and add BBLAYERS += " ${BSPDIR}/sources/meta-gmcrypto " into (Yocto 5.10.52_2.1.0 dir)/build-imx8mmevk/conf/bblayers.conf and  IMAGE_INSTALL_append += " gmssl-bin "  into local.conf 3, Run bitbake imx-image-multimedia. 4, Run the below command on your i.MX8M Mini EVK board. modprobe cryptodev gmssl speed sm2 gmssl genrsa -rand -f4 -engine cryptodev 512 gmssl speed dsa gmssl genrsa -rand -f4 -engine cryptodev 1024 gmssl speed rsa gmssl genrsa -rand -f4 -engine cryptodev 2048 gmssl speed ecdsa gmssl genrsa -rand -f4 -engine cryptodev 3072 gmssl speed ecdh gmssl genrsa -rand -f4 -engine cryptodev 4096 gmssl speed -evp sha256 -engine cryptodev -elapsed gmssl speed -evp aes-128-cbc -engine cryptodev -elapsed gmssl speed -evp aes-128-ecb -engine cryptodev -elapsed gmssl speed -evp aes-128-cfb -engine cryptodev -elapsed gmssl speed -evp aes-128-ofb -engine cryptodev -elapsed gmssl speed -evp des-ede3 -engine cryptodev -elapsed gmssl speed -evp des-cbc -engine cryptodev -elapsed gmssl speed -evp des-ede3-cfb -engine cryptodev -elapsed +++++++++++++++++++++++    updating for Linux-5.15.71-2.2.0 +++++++++++++++++++++++ This updating is for Yocto release of Linux 5.15.71-2.2.0​​. The package meta-gmcrypto is Yocto layer which also support c-v2x feature in previous release.  1, You need to git clone https://gitee.com/zxd2021-imx/meta-gmcrypto.git, and git checkout Linux-5.15.71-2.2.0.  Copy meta-gmcrypto to folder (Yocto 5.15.71-2.2.0 dir)/sources/. 2, Run DISTRO=fsl-imx-xwayland MACHINE=imx8mmevk source imx-setup-release.sh -b build-imx8mmevk and add BBLAYERS += " ${BSPDIR}/sources/meta-gmcrypto " into (Yocto 5.15.71-2.2.0 dir)/build-imx8mmevk/conf/bblayers.conf and  IMAGE_INSTALL:append = " gmssl-bin "  into local.conf 3, Run bitbake imx-image-multimedia. 4, Run the below command on your i.MX8M Mini EVK board. modprobe cryptodev gmssl speed sm2 gmssl genrsa -rand -f4 -engine cryptodev 512 gmssl speed dsa gmssl genrsa -rand -f4 -engine cryptodev 1024 gmssl speed rsa gmssl genrsa -rand -f4 -engine cryptodev 2048 gmssl speed ecdsa gmssl genrsa -rand -f4 -engine cryptodev 3072 gmssl speed ecdh gmssl genrsa -rand -f4 -engine cryptodev 4096 gmssl speed -evp sha256 -engine cryptodev -elapsed gmssl speed -evp aes-128-cbc -engine cryptodev -elapsed gmssl speed -evp aes-128-ecb -engine cryptodev -elapsed gmssl speed -evp aes-128-cfb -engine cryptodev -elapsed gmssl speed -evp aes-128-ofb -engine cryptodev -elapsed gmssl speed -evp des-ede3 -engine cryptodev -elapsed gmssl speed -evp des-cbc -engine cryptodev -elapsed gmssl speed -evp des-ede3-cfb -engine cryptodev -elapsed   +++++++++++++++++++++++    Updating for Linux-6.1.55-2.2.0 +++++++++++++++++++++++ This updating is new GmSSL 3.1.1 and Yocto release of Linux 6.1.55-2.2.0. 主要特性 超轻量：GmSSL 3 大幅度降低了内存需求和二进制代码体积，不依赖动态内存，可以用于无操作系统的低功耗嵌入式环境(MCU、SOC等)，开发者也可以更容易地将国密算法和SSL协议嵌入到现有的项目中。 更合规：GmSSL 3 可以配置为仅包含国密算法和国密协议(TLCP协议)，依赖GmSSL 的密码应用更容易满足密码产品型号检测的要求，避免由于混杂非国密算法、不安全算法等导致的安全问题和合规问题。 更安全：TLS 1.3在安全性和通信延迟上相对之前的TLS协议有巨大的提升，GmSSL 3 支持TLS 1.3协议和RFC 8998的国密套件。GmSSL 3 默认支持密钥的加密保护，提升了密码算法的抗侧信道攻击能力。 跨平台：GmSSL 3 更容易跨平台，构建系统不再依赖Perl，默认的CMake构建系统可以容易地和Visual Studio、Android NDK等默认编译工具配合使用，开发者也可以手工编写Makefile在特殊环境中编译、剪裁。 More information, please refer to Readme Recipe file is the attached gmssl_3.1.1.bb.tar.gz

This documents describes how to add the NFC support to i.MX8M mini evk running Yocto. Hardware setup: The i.MX8M mini evk (see i.MX 8M Mini Evaluation Kit | NXP) featuring Raspberry Pi compliant connector, the OM5578/RPI PN7150 demo kit can be used to perform this porting (see NFC Development Kits for Arduino and more|NXP). However a small modification must be done because some of the signals required by PN7150 are not mapped to i.MX8M mini expansion connector pins. OM5578 IRQ signal must be mapped to Raspberry Pi connector pin #19 and OM5578 IRQ signal must be mapped to Raspberry Pi connector pin #21. See below a picture of the modification: Then, the two boards can fit together as shown in the picture below: Quick start using demo image: The demo image including support for PN7150, is based on i.MX Linux 4.14.78_1.0.0 BSP software release (see i.MX Software | NXP). Related documentation can be downloaded from here: https://www.nxp.com/webapp/Download?colCode=L4.14.78_1.0.0_LINUX_DOCS. Just flash the demo image (downloaded from here: https://www.nxp.com/lgfiles/updates/NFC/LINUX_L4-14-78_IMAGE_MX8MMEVK.zip) following guidelines from i.MX_Linux_User's_Guide document (part of L4.14.78_1.0.0_LINUX Documentation package mentioned above). Then in a terminal you can run the demo application included in the image executing the command:    # nfcDemoApp poll Approaching the NFC tag, provided as reference in the OM5578 demo kit, to the NFC Antenna will trigger such display: Adding PN7150 support to imx-linux-sumo release: Pre-condition is to have L4.14.78_1.0.0 release installed and already built as described in i.MX Yocto Project User's Guide (part of L4.14.78_1.0.0_LINUX Documentation package mentioned above) :     $ repo init -u https://source.codeaurora.org/external/imx/imx-manifest  -b imx-linux-sumo -m imx-4.14.78-1.0.0_ga.xml     $ repo sync     $ MACHINE=imx8mmevk DISTRO=fsl-imx-xwayland source fsl-setup-release.sh -b build_dir     $ bitbake fsl-image-validation-imx Then to add PN7150 support to your imx-linux-sumo environment, follow below step by step guidelines: In the sources directory, download the meta-nxp-nfc layer from https://github.com/NXPNFCLinux/meta-nxp-nfc     $ git clone https://github.com/NXPNFCLinux/meta-nxp-nfc.git  Define hardware connection between CPU and PN7150 in device-tree adding the following lines to file build_dir/tmp/work-shared/imx8mmevk/kernel-source/arch/arm64/boot/dts/freescale/fsl-imx8mm-evk.dts: @@ -227,6 +227,8 @@                         fsl,pins = <                                 MX8MM_IOMUXC_I2C3_SCL_I2C3_SCL                  0x400001c3                                 MX8MM_IOMUXC_I2C3_SDA_I2C3_SDA                  0x400001c3 +                               MX8MM_IOMUXC_ECSPI2_MOSI_GPIO5_IO11             0x41 +                               MX8MM_IOMUXC_ECSPI2_MISO_GPIO5_IO12             0x41                         >;                 };   @@ -747,6 +749,13 @@         pinctrl-0 = <&pinctrl_i2c3>;         status = "okay";   +       pn54x: pn54x@28 { +               compatible ="nxp,pn547"; +               reg = <0x28>; +               interrupt-gpios = <&gpio5 11 0>; +               enable-gpios = <&gpio5 12 0>; +       }; +         pca6416: gpio@20 {                 compatible = "ti,tca6416";                 reg = <0x20>; Add the meta-nxp-nfc layer to the build definition updating file build_dir/conf/bblayers.conf with: BBLAYERS += " ${BSPDIR}/sources/meta-nxp-nfc" Add the meta-nxp-nfc layer components to the image definition updating file build_dir/conf/local.conf with: IMAGE_INSTALL_append = " kernel-module-nxp-pn5xx nxp-nfc-bin " Re-build the linux kernel:     $ bitbake -f -c compile linux-imx && bitbake -f -c deploy linux-imx Build meta-nxp-nfc layer:     $ bitbake nxp-nfc Re-build the complete image to include the modifications:     $ bitbake fsl-image-validation-imx Then you can flash the updated image to your i.MX8M mini evk and run the demo application as described in above "Quick start using demo image" chapter. Reference: This porting have been done (demo image and instructions) following guidelines provided in AN11679_PN71xx_Linux_Software_Stack_Integration_Guidelines document.

Introduction This is a brief guide showing how to integrate the driver for the WF111 module to the i.MX6 BSP Release. In this case the WF111 driver is available on a repository and it’s in accordance with the Yocto Project, which allows to easily customize a linux distribution for your board. Requirements WF111 Documentation – Silicon Labs have made a great job of documenting the steps to add the WF111 driver to a Linux distribution and have created Application Note 996 (link below), which we will use as reference. http://www.silabs.com/documents/login/application-notes/AN996.pdf WF111 Driver - We will also be using the Yocto layer included on the following repository: https://github.com/engicam-stable/meta-engicam i.MX6 3.14.52 BSP Release – In out scenario the WF111 layer that will be imported includes a driver that it’s compatible with Linux Kernel 2.6.24 up to 4.1., which it’s important to keep in mind.   Installing the 3.14.52 BSP Release First, setup the 3.14.52 BSP as described on the i.MX Yocto Project User’s Guide.   Adding the WF111 Driver Layer Clone the WF111 Driver Layer to your sources folder inside the BSP Release directory. Since the 3.14.52 BSP Release is based on Fido we will clone the Fido branch of the driver repository. $ cd <BSP_RELEASE_DIR>/sources $ git clone https://github.com/engicam-stable/meta-engicam -b fido‍‍  Once the layer is cloned you would need to add the new later editing the bblayers.conf file located the following path: <BSP_RELEASE_DIR>/<BUILD_DIR>/conf/bblayers.conf By adding the following line to add the new layer.   BBLAYERS += " ${BSPDIR}/sources/meta-engicam "‍   This should make the wf111-driver available through bitbake since bitbake will now look into this layer for all available recipes. You can then add the driver to your image by adding the following line to the <BUILD_DIR>/conf/local.conf   IMAGE_INSTALL_append += "wf111-driver"‍ Or you may create a new image recipe that includes the wf111-driver package. However, there are certain kernel options that must be enabled for the driver to work.   Creating an append to configure the kernel options Before we can bake an image with the WF111 driver we would need to edit the kernel options as mentioned on Silabs AN996. The following kernel options must be enabled:   CONFIG_WIRELESS_EXT CONFIG_MODULES CONFIG_FW_LOADER We would need to add the CONFIG_WIRELESS_EXT as the other two options are enabled on the BSP by default.   This involves adding an addendum to the kernel recipe to change its configuration. You may either add this append to any layer. The best way to handle it would be using a new layer for all your customization. You can find how to create a new layer on the following document: https://community.nxp.com/docs/DOC-331917 We’ll use a new layer called meta-newlayer for this example. It’s important that this layer has a high priority so the changes from the bbappend are not overridden. The following alternative was suggested by Chris Hossack on the following thread: https://community.nxp.com/thread/376369 First, run the menuconfig tool on the bitbake environment: bitbake linux-imx -c menuconfig Enable the necessary options: Networking Support > Wireless > cfg80211 wireless extensions compatibility   Save the configuration and exit. Then run the following bitbake command, which will create a config fragment file that contains the changed made to the default kernel options. bitbake linux-imx -c diffconfig We’ll make an append file that adds the required options.  Content of the config fragment:   CONFIG_WIRELESS_EXT=y CONFIG_WEXT_CORE=y CONFIG_WEXT_PROC=y CONFIG_WEXT_SPY=y CONFIG_WEXT_PRIV=y CONFIG_CFG80211_WEXT=y CONFIG_LIB80211=y CONFIG_LIB80211_CRYPT_WEP=y CONFIG_LIB80211_CRYPT_CCMP=y CONFIG_LIB80211_CRYPT_TKIP=y # CONFIG_LIB80211_DEBUG is not set CONFIG_HOSTAP=y # CONFIG_HOSTAP_FIRMWARE is not set‍‍‍‍‍‍‍‍‍‍‍‍‍    Since we are appending the kernel layer we need to add the addendum on the same path as that of the original kernel recipe but within our layer and create the append file there. Also add the WF111.cfg file to the linux-imx directory:   We would need to copy (and you may rename it as well) to the folder where are will be creating the append recipe for the kernel. Copy:  <BSP_RELEASE>/<BUILD_DIR>/tmp/work/<MACHINE>-poky-Linux-gnueabi/linux-imx/<KERNEL_VERSION>/fragment.cfg To: <BSP_RELEASE>/sources/meta-newlayer/recipes-kernel/linux/linux-imx/WF111.cfg You can do so suing the following command: cp <BSP_RELEASE>/<BUILD_DIR>/tmp/work/<MACHINE>-poky-Linux-gnueabi/linux-imx/<KERNEL_VERSION>/fragment.cfg <BSP_RELEASE>/sources/meta-newlayer/recipes-kernel/linux/linux-imx/WF111.cfg‍ (Please note that the file was renamed for ease, but you may use any name for the config fragment)   We need to create the bbappend file on the following path (as it must be the same relative path as the original recipe it is appending) <BSP_RELEASE>/sources/meta-newlayer/recipes-kernel/linux/linux-imx_3.14.52.bbappend   The linux-imx_3.14.52.bbappend file would contain the following:   SRC_URI += "file://WF111.cfg"  do_configure_append() {          #this is run from         #./tmp/work/<MACHINE>-poky-linux-gnueabi/linux-imx/3.14.52-r0/git          cat ../*.cfg >> ${B}/.config  }‍‍‍‍‍‍    After creating this recipe you should be able to bake any image from the BSP and see the driver there. I tested with the core-minimal-image and found that the files were indeed added to /lib/firmware. $ bitbake core-image-minimal ‍‍‍

    Xenomai is real-time framework, which can run seamlessly side-by-side Linux as a co-kernel system, or natively over mainline Linux kernels (with or without PREEMPT-RT patch). The dual kernel nicknamed Cobalt, is a significant rework of the Xenomai 2.x system. Cobalt implements the RTDM specification for interfacing with real-time device drivers. The native linux version, an enhanced implementation of the experimental Xenomai/SOLO work, is called Mercury. In this environment, only a standalone implementation of the RTDM specification in a kernel module is required, for interfacing the RTDM-compliant device drivers with the native kernel. You can get more detailed information from Home · Wiki · xenomai / xenomai · GitLab       I have ported xenomai 3.1 to i.MX Yocto 4.19.35-1.1.0, and currently support ARMv7 and tested on imx6ulevk/imx6ull14x14evk/imx6qpsabresd/imx6dlsabresd/imx6sxsabresdimx6slevk boards. I also did stress test by tool stress-ng on some boards.      You need to git clone https://gitee.com/zxd2021-imx/xenomai-arm.git, and git checkout Linux-4.19.35-1.1.0. (which inlcudes all patches and bb file) and add the following variable in conf/local.conf before build xenomai by command bitake xenomai.  XENOMAI_KERNEL_MODE = "cobalt"  PREFERRED_VERSION_linux-imx = "4.19-${XENOMAI_KERNEL_MODE}" IMAGE_INSTALL_append += " xenomai" DISTRO_FEATURES_remove = "optee" or XENOMAI_KERNEL_MODE = "mercury" PREFERRED_VERSION_linux-imx = "4.19-${XENOMAI_KERNEL_MODE}" IMAGE_INSTALL_append += " xenomai" DISTRO_FEATURES_remove = "optee" If XENOMAI_KERNEL_MODE = "cobalt", you can build dual kernel version. And If XENOMAI_KERNEL_MODE = "mercury", it is single kernel with PREEMPT-RT patch. The following is test result by the command (/usr/xenomai/demo/cyclictest -p 50 -t 5 -m -n -i 1000 😞 //Mecury on 6ULL with stress-ng --cpu 4 --io 2 --vm 1 --vm-bytes 128M --metrics-brief policy: fifo: loadavg: 6.08 2.17 0.81 8/101 534 T: 0 (  530) P:99 I:1000 C:  74474 Min:     23 Act:  235 Avg:   77 Max:    8278 T: 1 (  531) P:99 I:1500 C:  49482 Min:     24 Act:   32 Avg:   56 Max:    8277 T: 2 (  532) P:99 I:2000 C:  36805 Min:     24 Act:   38 Avg:   79 Max:    8170 T: 3 (  533) P:99 I:2500 C:  29333 Min:     25 Act:   41 Avg:   54 Max:    7069 T: 4 (  534) P:99 I:3000 C:  24344 Min:     24 Act:   51 Avg:   60 Max:    7193   //Cobalt on 6ULL with stress-ng --cpu 4 --io 2 --vm 1 --vm-bytes 128M --metrics-brief policy: fifo: loadavg: 7.02 6.50 4.01 8/100 660 T: 0 (  652) P:50 I:1000 C: 560348 Min:      1 Act:   10 Avg:   15 Max:      71 T: 1 (  653) P:50 I:1500 C: 373556 Min:      1 Act:    9 Avg:   17 Max:      78 T: 2 (  654) P:50 I:2000 C: 280157 Min:      2 Act:   14 Avg:   20 Max:      64 T: 3 (  655) P:50 I:2500 C: 224120 Min:      1 Act:   12 Avg:   15 Max:      57 T: 4 (  656) P:50 I:3000 C: 186765 Min:      1 Act:   31 Avg:   19 Max:      53   //Cobalt on 6qp with stress-ng --cpu 4 --io 2 --vm 1 --vm-bytes 512M --metrics-brief policy: fifo: loadavg: 8.11 7.44 4.45 8/156 1057 T: 0 (  917) P:50 I:1000 C: 686106 Min:      0 Act:    3 Avg:    5 Max:      53 T: 1 (  918) P:50 I:1500 C: 457395 Min:      0 Act:    3 Avg:    5 Max:      49 T: 2 (  919) P:50 I:2000 C: 342866 Min:      0 Act:    2 Avg:    4 Max:      43 T: 3 (  920) P:50 I:2500 C: 274425 Min:      0 Act:    3 Avg:    5 Max:      58 T: 4 (  921) P:50 I:3000 C: 228682 Min:      0 Act:    2 Avg:    6 Max:      46   //Cobalt on 6dl with stress-ng --cpu 2 --io 2 --vm 1 --vm-bytes 256M --metrics-brief policy: fifo: loadavg: 3.35 4.15 2.47 1/122 850 T: 0 (  729) P:50 I:1000 C: 608088 Min:      0 Act:    1 Avg:    3 Max:      34 T: 1 (  730) P:50 I:1500 C: 405389 Min:      0 Act:    0 Avg:    4 Max:      38 T: 2 (  731) P:50 I:2000 C: 304039 Min:      0 Act:    1 Avg:    4 Max:      45 T: 3 (  732) P:50 I:2500 C: 243225 Min:      0 Act:    0 Avg:    4 Max:      49 T: 4 (  733) P:50 I:3000 C: 202683 Min:      0 Act:    0 Avg:    5 Max:      38   //Cobalt on 6SX stress-ng --cpu 4 --io 2 --vm 1 --vm-bytes 512M  --metrics-brief policy: fifo: loadavg: 7.51 7.19 6.66 8/123 670 T: 0 (  598) P:50 I:1000 C:2314339 Min:      0 Act:    3 Avg:    8 Max:      60 T: 1 (  599) P:50 I:1500 C:1542873 Min:      0 Act:   15 Avg:    8 Max:      72 T: 2 (  600) P:50 I:2000 C:1157152 Min:      0 Act:    4 Avg:    9 Max:      55 T: 3 (  601) P:50 I:2500 C: 925721 Min:      0 Act:    5 Avg:    9 Max:      57 T: 4 (  602) P:50 I:3000 C: 771434 Min:      0 Act:    6 Avg:    6 Max:      41   //Cobalt on 6Solo lite stress-ng --cpu 4 --io 2 --vm 1 --vm-bytes 512M  --metrics-brief policy: fifo: loadavg: 7.01 7.04 6.93 8/104 598 T: 0 (  571) P:50 I:1000 C:3639967 Min:      0 Act:    9 Avg:    7 Max:      60 T: 1 (  572) P:50 I:1500 C:2426642 Min:      0 Act:    9 Avg:   11 Max:      66 T: 2 (  573) P:50 I:2000 C:1819980 Min:      0 Act:   11 Avg:   10 Max:      57 T: 3 (  574) P:50 I:2500 C:1455983 Min:      0 Act:   12 Avg:   10 Max:      56 T: 4 (  575) P:50 I:3000 C:1213316 Min:      0 Act:    7 Avg:    9 Max:      43   //Cobalt on 7d with stress-ng --cpu 2 --io 2 --vm 1 --vm-bytes 256M --metrics-brief policy: fifo: loadavg: 5.03 5.11 5.15 6/107 683 T: 0 (  626) P:50 I:1000 C:6842938 Min:      0 Act:    1 Avg:    2 Max:      63 T: 1 (  627) P:50 I:1500 C:4561953 Min:      0 Act:    4 Avg:    2 Max:      66 T: 2 (  628) P:50 I:2000 C:3421461 Min:      0 Act:    0 Avg:    2 Max:      69 T: 3 (  629) P:50 I:2500 C:2737166 Min:      0 Act:    3 Avg:    2 Max:      71 T: 4 (  630) P:50 I:3000 C:2280969 Min:      0 Act:    2 Avg:    1 Max:      33   //////////////////////////////////////// Update for Yocto L5.10.52 2.1.0  /////////////////////////////////////////////////////////// New release for Yocto release L5.10.52 2.1.0. You need to git clone https://gitee.com/zxd2021-imx/xenomai-arm and git checkout xenomai-5.10.52-2.1.0. Updating: 1, Upgrade Xenomai to v3.2 2, Enable Dovetail instead of ipipe. Copy xenomai-arm to <Yocto folder>/sources/meta-imx/meta-bsp/recipes-kernel, and add the following variable in conf/local.conf before build Image with xenomai enable by command bitake imx-image-multimedia. XENOMAI_KERNEL_MODE = "cobalt" IMAGE_INSTALL_append += " xenomai" or XENOMAI_KERNEL_MODE = "mercury" IMAGE_INSTALL_append += " xenomai" Notice: If XENOMAI_KERNEL_MODE = "cobalt", you can build dual kernel version. And If XENOMAI_KERNEL_MODE = "mercury", it is single kernel with PREEMPT-RT patch. //////////////////////////////////////// Update for Yocto L5.15.71 2.2.0  /////////////////////////////////////////////////////////// New release for Yocto release L5.15.71 2.2.0. You need to git clone https://gitee.com/zxd2021-imx/xenomai-arm and git checkout xenomai-5.15.71-2.2.0. Updating: 1, Upgrade Xenomai to v3.2.2 Copy xenomai-arm to <Yocto folder>/sources/meta-imx/meta-bsp/recipes-kernel, and add the following variable in conf/local.conf before build Image with xenomai enable by command bitake imx-image-multimedia. XENOMAI_KERNEL_MODE = "cobalt" IMAGE_INSTALL:append += " xenomai" or XENOMAI_KERNEL_MODE = "mercury" IMAGE_INSTALL:append += " xenomai" Notice: If XENOMAI_KERNEL_MODE = "cobalt", you can build dual kernel version. And If XENOMAI_KERNEL_MODE = "mercury", it is single kernel with PREEMPT-RT patch.   ///////// Later update for Later Yocto release, please refer to the following community post //////////// 移植实时Linux方案Xenomai到i.MX ARM64平台 (Enable real-time Linux Xenomai on i.MX ARM64 Platform)   

Audio, from a file gst-launch filesrc location=test.wav ! wavparse ! mfw_mp3encoder ! filesink location=output.mp3 Audio Recording gst-launch alsasrc num-buffers=$NUMBER blocksize=$SIZE ! mfw_mp3encoder ! filesink location=output.mp3 # where #     duration = $NUMBER*$SIZE*8 / (samplerate *channel *bitwidth) # Example: 60 seconds recording # gst-launch alsasrc num-buffers=240 blocksize=44100 ! mfw_mp3encoder ! filesink location=output.mp3 # # To verify that is correct, do a normal audio playback gst-launch filesrc location=output.mp3 typefind=true ! beepdec ! audioconvert ! 'audio/x-raw-int,channels=2' ! alsasink Video, from a test source gst-launch videotestsrc ! queue ! vpuenc ! matroskamux ! filesink location=./test.avi Video, from a file gst-launch filesrc location=sample.yuv blocksize=$BLOCK_SIZE ! 'video/x-raw-yuv,format=(fourcc)I420, width=$WIDTH, height=$HEIGHT, framerate=(fraction)30/1' ! vpuenc codec=$CODEC ! matroskamux ! filesink location=output.mkv sync=false # where #     BLOCK_SIZE = WIDTH * HEIGHT * 1.5 #     CODEC = 0(MPEG4), 5(H263), 6(H264) or 12(MJPG). # # For example, encoding a CIF raw file gst-launch filesrc location=sample.yuv blocksize=152064 ! 'video/x-raw-yuv,format=(fourcc)I420, width=352, height=288, framerate=(fraction)30/1' ! vpuenc codec=0 ! matroskamux ! filesink location=sample.mkv sync=false Video, from Web camera # when the web cam is connected, the device node /dev/video0 should be present. In order to test the camera, without encoding gst-launch v4l2src ! mfw_v4lsink # in recording, run: # gst-launch v4l2src num-buffers=-1 ! queue max-size-buffers=2 ! vpuenc codec=0 ! matroskamux ! filesink location=output.mkv sync=false # # where sync=false indicates filesink to to use a clock sync # # In case a specific width/height is needed, just add the filter caps gst-launch v4l2src num-buffers=-1  ! 'video/x-raw-yuv,format=(fourcc)I420, width=352, height=288, framerate=(fraction)30/1' ! queue ! vpuenc codec=0 ! matroskamux ! filesink location=output.mkv sync=false # # In case you want to see in the screen what the camera is capturing, add a tee element # gst-launch v4l2src num-buffers=-1 ! tee name=t ! queue ! mfw_v4lsink t. ! queue ! vpuenc codec=0 ! matroskamux ! filesink location=output.mkv sync=false Video, from Parallel/MIPI camera # The camera driver needs to be loaded before executing the pipeline, refer to the BSP document to see which driver to load # MIPI (J5 port): modprobe ov5640_camera_mipi modprobe mxc_v4l2_capture   # Parallel (J9 port): modprobe ov5642_camera modprobe mxc_v4l2_capture   gst-launch mfw_v4lsrc ! queue ! vpuenc codec=0 ! matroskamux ! filesink location=output.mkv sync=false   # Do a 'gst-inspect mfw_v4lsrc' or 'gst-inspect vpuenc' to see other possible settings (resolution, fps, codec, etc.)

This link contains the scripts, U-boot commands, and patch code shown on the application note AN5409 titled 'i.MX6 Dual/6 Quad Power Consumption Measurement'.

The Linux L4.9.88_2.0.0 Rocko, i.MX7ULP Linux/SDK2.4 RFP(GA) release files are now available. Linux on IMX_SW web page, Overview -> BSP Updates and Releases ->Linux L4.9.88_2.0.0 SDK on https://mcuxpresso.nxp.com/ web page.   Files available: Linux:  # Name Description 1 imx-yocto-L4.9.88_2.0.0.tar.gz L4.9.88_2.0.0 for Linux BSP Documentation. Includes Release Notes, User Guide. 2 L4.9.88_2.0.0_images_MX6QPDLSOLOX.tar.gz i.MX 6QuadPlus, i.MX 6Quad, i.MX 6DualPlus, i.MX 6Dual, i.MX 6DualLite, i.MX 6Solo, i.MX 6Solox Linux Binary Demo Files 3 L4.9.88_2.0.0_images_MX6SLEVK.tar.gz i.MX 6Sololite EVK Linux Binary Demo Files 4 L4.9.88_2.0.0_images_MX6UL7D.tar.gz i.MX 6UltraLite EVK, 7Dual SABRESD, 6ULL EVK Linux Binary Demo Files 5 L4.9.88_2.0.0_images_MX6SLLEVK.tar.gz i.MX 6SLL EVK Linux Binary Demo Files 6 L4.9.88_2.0.0_images_MX8MQ.tar.gz i.MX 8MQuad EVK Linux Binary Demo files 7 L4.9.88_images_MX7ULPEVK.tar.gz i.MX 7ULP EVK Linux Binary Demo Files  8 L4.9.88_2.0.0-ga_mfg-tools.tar.gz Manufacturing Toolkit for Linux L4.9.88_2.0.0 iMX6,7 BSP 9 L4.9.88_2.0.0_mfg-tool_MX8MQ.tar.gz Manufacturing Toolkit for Linux L4.9.88_2.0.0 i.MX8MQ BSP 10 imx-aacpcodec-4.3.5.tar.gz Linux AAC Plus Codec for L4.9.88_2.0.0   SDK:   On https://mcuxpresso.nxp.com/, click the Select Development Board to customize the SDK based on your configuration then download the SDK package.    Target board: i.MX 6QuadPlus SABRE-SD Board and Platform i.MX 6QuadPlus SABRE-AI Board i.MX 6Quad SABRE-SD Board and Platform i.MX 6DualLite SABRE-SD Board i.MX 6Quad SABRE-AI Board i.MX 6DualLite SABRE-AI Board i.MX 6SoloLite EVK Board i.MX 6SoloX SABRE-SD Board i.MX 6SoloX SABRE-AI Board i.MX 7Dual SABRE-SD Board i.MX 6UltraLite EVK Board i.MX 6ULL EVK Board i.MX 6SLL EVK Board i.MX 7ULP EVK Board i.MX 8MQ EVK Board   What’s New/Features: Please consult the Release Notes.   Known issues For known issues and more details please consult the Release Notes.   More information on changes of Yocto, see: README: https://source.codeaurora.org/external/imx/imx-manifest/tree/README?h=imx-linux-rocko ChangeLog: https://source.codeaurora.org/external/imx/imx-manifest/tree/ChangeLog?h=imx-linux-rocko

In an earlier topic (Linux fast boot on i.MX6 Sabresd board.) about Linux fast boot on i.MX6 SabreSD board, the demo showed an application startup procedure including u-boot boot, Linux kernel boot, rootfs mount, demo application load and run. Additionally, this demo shows a live video on a LVDS screen from board CSI camera. Its total boot up time is about 1.x seconds. Now, based on Linux fast boot, we integrate it with another demo application: surround view, this demo shows 4 different live videos on LVDS screen from 4 UDP data sockets. In this demo video is drawn by GPU to screen, that means the frame buffers decode by video decoder directly pass to GPU, which is not same as previous demo. The encode video format is also MJPEG in this demo. This demo creates 4 different threads every thread handle one UDP socket, receive buffer, push this buffer to video decoder, get frame buffer from video decoder, pass this buffer to GPU, start GPU render, command GPU draw the render buffer to the screen; this thread needs to occupy one ARM processor to show every video smoothly. So we need a i.MX 6DQ board in this demo. Hardware: i.MX 6DQ SabreSD board Software: 12.09 GA BSP Difference with previous fast boot demo: U-boot difference with previous fast boot demo. 1: Add logo show. (For remove CSI2, V4L2, Capture modules ) Kernel different with previous fast boot demo. 1: Add SMP support. 2: Add Network support. (IPV4, PHY, network driver(FEC)) 3: Remove CSI2, V4L2, Capture. (Remove this need in U-boot procedure Freescale logo show on the screen! ) 4: Add GPU support in kernel. Rootfs difference with previous fast boot demo: 1: Keep rc.s firstly run, while in previous fast boot demo, demo is the firstly running program on rootfs. 2: Get rid of almost all service in rc.conf just keep “mount /proc and /sys” service. Network performance on this demo Software : The default network receive buffer is about 128KB. This default size is too small for this demo; the demo application can't fetch receive buffer in time while kernel network stack will discard some UDP packets if we don't enlarge it. We enlarge this receive buffer through command in inittab before demo running. Hardware: i.MX6 DQ TOI less than 1.2 version has some Ethernet mac layer issue, this issue will also cause some UDP packets lost. So please ensure the SabreSD board i.MX6 DQ chip TOI version is equal 1.2 or more. Attached are some files for your reference. Below patches assume this SabreSD board boot from SD3 and default display port is LVDS1. 1: U-boot and kernel patches based on 12.09. 2: Demo application based on 12.09 vpu test program and vpu test program running configure file. 3: Rootfs startup scripts.

Before reading: only a personal works and sharing, not any form of "release". I didn't find any confidential information from the packages. So, I'm publishing it here. This is only for testing purpose. Do NOT use it for building a product. Use it at your own risk!! Yocto is flexible and powerful, and also, big and slow (when building). Sometimes we only need to build uboot or kernel or some piece of testing code. It's really a waste of time to build-up the whole Yocto environment which may cost over 50GB disk space and over 3 hours of building. I've made some scripts and sum them up to form a toolset for building uboot, kernel and some testing code out of Yocto environment. It's only a simple container and expect to use with uboot and kernel source code from formal Freescale release and a SDK built from Yocto project. GitHub source repo:       https://github.com/gopise/gopbuild What’s made off (a full package, not only the container): 1.    Some scripts and configurations files. 2.    SDK built from Yocto. 3.    Uboot/kernel from specific version. 4.    A hello-world to demonstrate how to build app in this environment. 5.    A slimmed rootfs binary from specific BSP pre-built as base. Will customize base on the source under “rootfs” folder. Only a placeholder in the container-only version. How to use it: Several common used board configurations have been included in the script: 6qsabresd/6qsabreai/6qpsabreai. You can add more into the “gopbuild” script easily. The “sabresd” has been set as default.      If you want to build all for sabresd (First of all, de-compress the package): cd <de-compressed-folder> source envsetup [It will prompt for selecting board configuration to be built. Choose one by input corresponding number or click <ENTER> for default board.] gmk ‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍      If you want to build specific module for default board, such as uboot: gmk uboot ‍‍‍‍‍‍‍‍‍      Build kernel for sabreai board instead of default device: gmk kernel sabreai ‍‍‍‍‍‍‍‍‍      Clean everything? gmk all clean ‍‍‍‍‍‍‍‍‍ After a successfully full build, you will get everything under “output” folder, including a log folder contains full build log:      “u-boot.imx/zImage/rootfs.tar.bz2/*.dtb”, can be used with MFG or uuu.      “fsl-image.sdcard”, can be burn into SD card directly. "Ready-for-building" Package: The "gopbuild" itself is a "container-only" package which doesn't contain any source or SDK. I've also made some packages based on latest BSP release for i.MX6/i.MX7/i.MX8. These packages are "ready-for-build" package which you can de-compress and build it directly. -------------------------------------------------------------------------------------------------- URL：https://pan.baidu.com/s/1Xlh1OBGsTRXez_NQw-Rjxg Password: gdc9 -------------------------------------------------------------------------------------------------- Note: 1. To build for i.MX8 (8QM/8MQ/8QXP), you need L4.14.* or above. 2. To build for i.MX8, please download the SCFW from i.MX software page       i.MX Software and Development Tools | NXP      After download, decompress corresponding package for specific chip and put it under "/platform/scfw/". Take i.MX8QXP for example:             /platform/scfw/scfw_export_mx8qx/ All material (uboot/kernel/test code and SDK) are from official Yocto release. Thanks!