i.MX Processors Knowledge Base

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i.MX Processors Knowledge Base

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i.mx8M evk board has HW decoder and SW encoder, this document introduce how to use HW decoder and SW encoder the bsp is the latest version L4.14.78, the environment is : $ DISTRO=fsl-imx-wayland MACHINE=imx8mqevk source fsl-setup-release.sh -b build-wayland $ bitbake fsl-image-validation-imx   For the 4.14.78, we don’t use mfgtool anymore, customer can use uuu.exe to program the image to the board, the uuu.exe can be found from https://github.com/NXPmicro/mfgtools/releases Here we use emmc as media, I attached the kerel_emmc.uuu for reference Open the cmd.exe, then use the command “uuu.exe kernel_emmc.uuu” to download the image to the emmc on the board as the picture shows When the board boot up, don’t forget to change the image and fdt_file as you want, for example, I use Image-imx8mqevk.bin as image name  and Image-fsl-imx8mq-evk.dtb as my fdt file, you can choose different image and fdt file as uuu file mentions. 1) Decoding   For play the video, we can use three solution to support this a) gplay-1.0 test.mp4 b) gst-launch-1.0 playbin uri=file:///mnt/sdcard/test.mp4 c) gst-launch-1.0 filesrc location=test.mp4 typefind=true ! video/quicktime ! aiurdemux ! queue max-size-time=0 ! vpudec ! autovideosink For play the two different video to the different display, current imx8M evk board supports dual hdmi output, in the uboot command: setenv fdt_file Image-fsl-imx8mq-evk-dual-display.dtb saveenv Use the command as below:    gst-launch-1.0 playbin uri=file:///test1.mp4 playbin uri=file:///test2.mp4 video-sink="glimagesink display-master=false display-slave=true" 2) Encoding Because imx8M evk don’t have hardware encoding, so we need to add the SW plugins in the bsp   a)add the commands as below in the /build/conf/local.conf "CORE_IMAGE-EXTRA_INSTALL += "gstreamer1.0-plugins-ugly-meta packagegroup-fsl-gsstreamer1.0-commercial gst-ffmpeg" LICENSE_FLAGS_WHITELIST = "commercial""        b)Create the new txt file and add “PACKAGECONFIG_mx8mq = "x264"”in the file        c)Rename the file as 0-plugins-ugly_%.bbappend and put this file under /sources/meta-fsl-bsp-release/imx/meta-bsp/recipes-multimedia/gstreamer        d)Build the image you want, then download the new rootfs file in the board, use the command “gst-inspect-1.0 | grep x264”
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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.
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UPDATE: Note that this document describes eIQ Machine Learning Software for the NXP L4.14 BSP release. Beginning with the L4.19 BSP, eIQ Software is pre-integrated in the BSP release and this document is no longer necessary or being maintained. For more information on eIQ Software in these releases (L4.19, L5.4, etc), please refer to the "NXP eIQ Machine Learning" chapter in the Linux User Guide for that specific release.  Original Post: eIQ Machine Learning Software for iMX Linux 4.14.y kernel series is available now. The NXP eIQ™ Machine Learning Software Development Environment enables the use of ML algorithms on NXP MCUs, i.MX RT crossover processors, and i.MX family SoCs. eIQ software includes inference engines, neural network compilers, and optimized libraries and leverages open source technologies. eIQ is fully integrated into our MCUXpresso SDK and Yocto development environments, allowing you to develop complete system-level applications with ease. Source download, build and installation Please refer to document NXP eIQ(TM) Machine Learning Enablement (UM11226.pdf) for detailed instructions on how to download, build and install eIQ software on your platform. Sample applications To help get you started right away we've posted numerous howtos and sample applications right here in the community. Please refer to eIQ Sample Apps - Overview. Supported platforms eIQ Machine learning software for i.MX Linux 4.14.y supports the L4.14.78-1.0.0 and L4.14.98-2.0.0 GA releases running on i.MX 8 Series Applications Processors. For more information on artificial intelligence, machine learning and eIQ Software please visit AI & Machine Learning | NXP.
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Intr oduction The Intel® Neural Compute Stick 2 (Intel® NCS 2) is Intel’s newest deep learning inference development kit. Packed in an affordable USB-stick form factor, the Intel® NCS 2 is powered by latest VPU (vision processing unit) – the Intel® Movidius™ Myriad X, which includes an on-chip neural network accelerator called the Neural Compute Engine. With 16 SHAVE cores and a dedicated hardware neural network accelerator, the NCS 2 offers up to 8x performance improvement+ over the previous generation. Ref: https://software.intel.com/en-us/articles/run-intel-openvino-models-on-intel-neural-compute-stick-2   The NCS 2 officially supported hardware platform is x86 PC and Raspberry Pi. In this guide, we will introduce how to implement in i.MX8MQ. Please see attached guide for more details.
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目录 1 i.MX8Mmini 板级开发包镜像结构 ............................... 2 2 创建 i.MX8Mmini Linux 4.14.78_ga 板级开发包编译环境 3 2.1 下载板级开发包 ...................................................... 3 2.2 创建yocto编译环境: ................................................ 4 2.3 编译sdk及安装 ........................................................ 7 2.4 独立编译 ................................................................. 8 3 DDR配置,测试与输出 ............................................ 13 4 i.MX8Mmini ATF ...................................................... 15 5 FSL Uboot SPL 定制 ............................................... 17 5.1 SPL的编译............................................................ 17 5.2 SPL的启动流程 .................................................... 26 5.3 SPL的定制............................................................ 33 6 FSL Uboot 定制 ....................................................... 39 6.1 FDT支持 ............................................................... 40 6.2 DM(driver model)支持 .......................................... 45 6.3 Uboot目录 结构 .................................................... 59 6.4 Uboot编译 ............................................................ 61 6.5 Uboot初始化流程 .................................................. 62 6.6 uboot 定制 ............................................................ 72 6.7 uboot debug信息 .................................................. 78
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Descriptions on the issue: running “ uuu uuu-android-mx8mq-evk-emmc.lst ” No any problem, downloading images is OK. running “ uuu_imx_android_flash.bat -f imx8mq -a -e ” Below lines will be showed on windows console: flash the file of u-boot-imx8mq.imx to the partition of bootloader0 <waiting for any devices>             Then downloading operation stopped. ------------------------------------------------------------------------                 In order to help uses save development time, I tested above 2 commands for downloading images on windows 7 64bit and windows 10 64bit respectively.                 Below is detailed steps for the operation: Hardware Preparations (1) Switch SW802 on i.MX8MQ EMEK, set 1-4 off, 2-3 on i.MX8MQ is at usb serial download mode. (2) Connecting J1701 to PC USB by a USB OTG cable. (3) Connecting J901(usb type c) to PC USB by a USB 3.0 cable. (4) Plugging 12V@3.5A adapter into Power Jack (J902) (5) Power on I.MX8MQ board via SW701 Switch Software Preparations (1) Related windows drivers for i.MX8MQ MEK                 Windows 7 64bit or windows 10 64bit will find new devices and begin to search and install corresponding drivers, like below:                 Probably windows 10 64bit can’t automatically install CP2105 driver from official website of manufacture: https://www.silabs.com/products/development-tools/software/usb-to-uart-bridge-vcp-drivers                 Then installed it manually. (2) Power off i.MX8MQ MEK (3) Installing winusb driver by zadig                 According to method described in uuu.pdf, download zadig tool from https://zadig.akeo.ie/, and install it to windows 7 64bit . [Note] windows 10 64bit doesn’t need to install winusb driver. Press “Install WCID Driver” Button (4) Downloading Android SDK Manager Download SDK Manager from : http://visualgdb.com/android/install_redir?item=SDK After downloading it, decompress it, and run SDK Manager application: Press OK. Then press “Close” Close SDK Manager Installation Guide . Find the directory of SDK Manager installation, and enter into “platform-tools”, like below: D:\i.MX8-Projects\IMX8MQ-MEK-windows-drivers\android-sdk_r24.4.1-windows\android-sdk-windows\platform-tools Copy items in blue rectangle to C:\windows\system Copy items in red rectangle to C:\windows\system32     Beginning to download android images to I.MX8MQ MEK via UUU Tool (1) Downloading android DEMO images for i.MX8MQ MEK https://www.nxp.com/support/developer-resources/software-development-tools/i.mx-developer-resources/evaluation-kit-for-the-i.mx-8m-applications-processor:MCIMX8M-EVK?tab=Design_Tools_Tab After downloading it, decompress it to a directory.  Like below: (2) Downloading UUU Tool https://github.com/NXPmicro/mfgtools/releases After downloading uuu.exe,  copy it to the directory of android 9.0 demo image , see above. (3) Run command “ uuu_imx_android_flash.bat -f imx8mq -a -e ” ----Power on i.MX8MQ MEK. ----open a command line window ---open Hyper terminal ( set it 115200 bps) ---run “ uuu_imx_android_flash.bat -f imx8mq -a -e ”           For windows 10 64bit, downloading images will be done without any errors.    But for windows 7 64bit, downloading images will stop at “ waiting for any devices”.    It means Android ADB driver will be needed. Follow the steps below to solve the problem. Right button, click “update driver” Close it.           Then downloading operations will be automatically continued. OK, done. NXP TIC team Weidong Sun 02-25-2019
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This documents describes how to add the NFC support to i.MX8M mini evk running Android Pie. 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 VEN 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 Android P9.0.0 Pie (P9.0.0_1.0.0, 4.14 kernel) i.MX software release (see i.MX Software | NXP). Related documentation can be downloaded from here: https://www.nxp.com/docs/en/supporting-information/android_p9.0.0_1.0.0-ga_docs.zip. Just flash the demo image (downloaded from here: https://www.nxp.com/lgfiles/updates/NFC/ANDROID_P9-0-0_PN7150_IMAGE_8MMEVK.zip ) following guidelines from i.MX_Android_Quick_Start document (part of Android P9.0.0_1.0.0 Documentation package mentioned above). The NFC support is then included in the device settings, as shown in below screenshot of the device: Approaching the NFC tag, provided as reference in the OM5578 demo kit, to the NFC Antenna will trigger a sound notification: Unfortunately the Android demo image doesn't embed a web browser, so it won't be automatically open when the NFC tag content (an URL to the demo kit web page) is read. Otherwise (if a web browser is installed) you could see such page opening on the device: Adding PN7150 support to imx-android-pie release: If you wish to add PN7150 support to your imx-android-pie environment, just apply the patches ( imx-p9.0.0_1.0.0-ga_pn7150_patches.tar.gz file attached) from the ${MY_ANDROID} source code root folder (refer to i.MX_Android_User_Guide document part of Android P9.0.0_1.0.0 Documentation package mentioned above).  $ patch -p1 -d device/fsl/ <device_fsl.patch  $ patch -p1 -d packages/apps/Nfc <packages_apps_Nfc.patch  $ patch -p1 -d hardware/nxp/nfc <hardware_nxp_nfc.patch  $ patch -p1 -d vendor/nxp <vendor_nxp.patch  $ patch -p1 -d vendor/nxp-opensource/kernel_imx/ <vendor_nxp-opensource_kernel_imx.patch When building, the PN7150 support will then be included to the android image, as shown in the demo image described above. Reference: This porting have been done (demo image and patches creation) following guidelines provided in AN11690_NXP-NCI_Android_Porting_Guidelines document.
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This document describes the i.MX 8MQ EVK HDMI output and mini-SAS connectors features on Linux and Android use cases, covering the supported daughter-board, the process to change Device Tree (DTS) files or Boot Images, and enable these different display options on the board.
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   Some of Chinese customer couldn’t normally download android source code from google site, here give a way to download android source from Mirror site of Tsinghua University. Customers in other areas can refer to the configurations of ubuntu 18.04 in the document. Updating software packages for ubuntu18.04 LTS 1、Using software updater to update software packages Press Install Now button to update software. Restart ubuntu18.04 2、Installing necessary software packages #sudo apt-get install flex # sudo apt-get install bison # sudo apt-get install gperf # sudo apt-get install build-essential # sudo apt-get install zlib1g-dev # sudo apt-get install lib32ncurses5-dev # sudo apt-get install x11proto-core-dev # sudo apt-get install libx11-dev # sudo apt-get install lib32z1-dev # sudo apt-get install libgl1-mesa-dev # sudo apt-get install tofrodos # sudo apt-get install python-markdown # sudo apt-get install libxml2-utils # sudo apt-get install xsltproc # sudo apt-get install uuid-dev:i386 liblzo2-dev:i386 # sudo apt-get install gcc-multilib g++-multilib # sudo apt-get install subversion # sudo apt-get install openssh-server openssh-client # sudo apt-get install uuid uuid-dev # sudo apt-get install zlib1g-dev liblz-dev # sudo apt-get install liblzo2-2 liblzo2-dev # sudo apt-get install lzop # sudo apt-get install git-core curl # sudo apt-get install u-boot-tools # sudo apt-get install mtd-utils # sudo apt-get install android-tools-fsutils # sudo apt-get install openjdk-8-jdk # sudo apt-get install device-tree-compiler # sudo apt-get install aptitude # sudo aptitude install libcurl4-openssl-dev nss-updatedb 3、 Downloading and unpacking Android release package https://www.nxp.com/products/processors-and-microcontrollers/applications-processors/i.mx-applications-processors/android-os-for-i.mx-applications-processors:IMXANDROID?tab=Design_Tools_Tab -- O8.1.0_1.3.0_ANDROID_SOURCE_8MQ_GA File name is imx-o8.1.0_1.3.0_8m.tar.gz # cd ~ # tar xzvf imx-o8.1.0_1.3.0_8m.tar.gz Downloading android8.1.0-1.3.0 source code Getting repo # cd ~ # mkdir bin # cd bin # curl https://storage.googleapis.com/git-repo-downloads/repo > ~/bin/repo # chmod a+x ~/bin/repo # export PATH=${PATH}:~/bin   Modifying repo File Open ~/bin/repo file with 'gedit' and Change google address From REPO_URL = ' https://gerrit.googlesource.com/git-repo ' To REPO_URL = ' https://mirrors.tuna.tsinghua.edu.cn/git/git-repo/ ' 3 、 Setting email address # git config --global user.email " xxxx@nxp.com " # git config --global user.name "xxxx" [ Email & Name should be yours] 4 、 Modifying android setup script and Running it Open ~/ imx-o8.1.0_1.3.0_8m /imx_android_setup.sh and add a line like below: ...       if [ "$rc" != 0 ]; then          echo "---------------------------------------------------"          echo "-----Repo Init failure"          echo "---------------------------------------------------"          return 1       fi find -name 'aosp-O8.1.0-1.3.0.xml'| xargs perl -pi -e 's| https://android.googlesource.com/|https://aosp.tuna.tsinghua.edu.cn/|g ' fi   # Don't Delete .repo directory and hidden files #rm -rf $android_builddir/.??* ... Then save it and exit. # cd ~/ # source ~/ imx-o8.1.0_1.3.0_8m/imx_android_setup.sh Then android_build directory is created at ~/ # export MY_ANDROID=~/android_build          48 hours later: Compiling android8.1.0-1.3.0 BSP # cd ~/android_build # gedit ./prebuilts/sdk/tools/jack-admin               And find “JACK_SERVER_COMMAND” ,change it to be: JACK_SERVER_COMMAND="java -XX:MaxJavaStackTraceDepth=-1 -Djava.io.tmpdir=$TMPDIR $JACK_SERVER_VM_ARGUMENTS -Xmx4096m -cp $LAUNCHER_JAR $LAUNCHER_NAME"          Save and exit. And run: # ./prebuilts/sdk/tools/jack-admin stop-server # ./prebuilts/sdk/tools/jack-admin start-server # export ARCH=arm64 # export CROSS_COMPILE=~/android_build/prebuilts/gcc/linux-x86/aarch64/aarch64-linuxandroid-4.9/bin/aarch64-linux-android- # export LC_ALL=C # source build/envsetup.sh # lunch evk_8mq-userdebug               Begin to build android BSP for i.MX8MQ # make –j4 NXP TIC weidong sun 2018-08-15
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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.
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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/, c lick 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
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NOTE: Always de-power the target board and the aggregator when plugging or unplugging smart sensors from the aggregator. NOTE:  See this link to  instrument a board with a Smart Sensor. Overview The i.MX Power Profiler system consists of one to fourteen "smart" current sensors, an aggregator shield, and a Kinetis FRDM board (the FRDM-KL25 has been used in prototyping but the FRDM-K64F and FRDM-K66F should also be fully compatible). One of the biggest improvements of this system over its preceeding dual-range measurement system is that the microcontroller on each sensor board allows near-simultaneous measurement of all instrumented rails on a board. The dual range profiler has only a single MCU for all sensors, so only one measurement can be made at a time.  It is intended to be used to instrument one to fourteen rails of a target i.MX appliation board. Ideally, the target board will have been designed with a matching/mating power sense footprint for each rail to be measured.  Each smart sensor can sense current in three ranges with three current sense amplifiers. They are "smart" because each sensor board has a Kinetis KL05Z on it to control the switching FETs and to digitize the analog signals (the sense amplifier outputs and the target's power supply rail voltage). A 1% voltage regulator on each smart sensor provides a good voltage reference right next to the KL05Z to ensure better ADC accuracy. Each smart sensor board communicates via I2C. The aggregator shield has three I2C bus extenders (PCA9518) which essentially provide a dedicated I2C bus for each of the connected smart sensors. The FRDM board's I2C is also connected to one of the bus extenders ports. Individual GPIO lines are routed to each smart sensor's connected along with a ganged reset and trigger line for all of the connected smart sensors. A boost regulator generates almost 12V from the FRDM board's 5V supply, which is used for all the switching FETs on the smart sensor boards. The FRDM board's 5V rail is also routed to each smart sensor, which is regulated down to 3.3V locally on each connected smart sensor. Here is a photo of the very first prototypes after moving to 10-pin 0.05" spaced headers and ribbon cables instead of FFC: The smart sensor is intended to mate with through-hole current sense tap points on the target i.MX application board. Three holes spaced at 0.05" each. When not instrumented with sensor, a short needs to be placed across the outer two pins so that the board will function normally. The through hole connections provide physical protection to the target board, keeping traces from getting ripped off. The ground connection in the center provides a reference for meauring the rail voltage on the target board. A partial layout example of the implementation of the current sense footprint is below, where two 0805 shorting resistors in parallel are placed on each side of the holes. The top trace connects to the regulator output and the bottom to the load, usually an i.MX power supply rail. To include the current sense footprint into a board during the design phase, it should be configured as in the following partial schematic:  Every effort should be made to place the feedback on the i.MX side of the sense points so that the regulator compensates for the additional series resistance of the smart sensor, which effectively eliminates the additional series resistance the smart sensor adds. The Feedback should be before the smart sensor if the switching supply won't tolerate the additional series resistance (i.e., output becomes unstable).
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  Just sharing some experiences during the development and studying.   Although, it appears some hardwares, it focuses on software to speed up your developing on your  hardware.     杂记共享一下在开发和学习过程中的经验。    虽然涉及一些硬件,但其本身关注软件,希望这些能加速您在自己硬件上的开发。 05/06/2020 Linux fw_printenv fw_setenv to access U-Boot's environment variables Linux fw_printenv fw_setenv to access U-Boot's environment variables  update and provide demo sdcard mirror for i.MX6ull evk. 03/30/2020 i.MX6 DDR calibration/stress for Mass Production https://community.nxp.com/docs/DOC-346065 03/25/2020 parseIVT - a script to help i.MX6 Code Signing https://community.nxp.com/docs/DOC-345998   02/24/2020 Linux fw_printenv fw_setenv to access U-Boot's environment variables Not authorized to view the specified document 345621  02/17/2020 Start your machine learning journey from tensorflow playground Start your machine learning journey from tensorflow playground  01/15/2020 How to add  iMX8QXP PAD(GPIO) Wakeup How to add iMX8QXP PAD(GPIO) Wakeup  01/09/2020 Understand iMX8QX Hardware Partitioning By Making M4 Hello world Running Correctly https://community.nxp.com/docs/DOC-345359 09/29/2019 Docker On i.MX6UL With Ubuntu16.04 https://community.nxp.com/docs/DOC-344462 09/25/2019 Docker On i.MX8MM With Ubuntu https://community.nxp.com/docs/DOC-344473 Docker On i.MX8QXP With Ubuntu https://community.nxp.com/docs/DOC-344474 08/28/2019 eMMC5.0 vs eMMC5.1 https://community.nxp.com/docs/DOC-344265 05/24/2019 How to upgrade  Linux Kernel and dtb on eMMC without UUU How to upgrade Linux Kernel and dtb on eMMC without UUU   04/12/2019 eMMC RPMB Enhance and GP https://community.nxp.com/docs/DOC-343116 04/04/2019 How to Dump a GPT SDCard Mirror(Android O SDCard Mirror) https://community.nxp.com/docs/DOC-343079 04/04/2019 i.MX Create Android SDCard Mirror https://community.nxp.com/docs/DOC-343078 04/02/2019: i.MX Linux Binary_Demo Files Tips  https://community.nxp.com/docs/DOC-343075 04/02/2019:       Update Set fast boot        eMMC_RPMB_Enhance_and_GP.pdf 02/28/2019: imx_builder --- standalone build without Yocto https://community.nxp.com/docs/DOC-342702 08/10/2018: i.MX6SX M4 MPU Settings For RPMSG update  Update slide CMA Arrangement Consideration i.MX6SX_M4_MPU_Settings_For_RPMSG_08102018.pdf 07/26/2018 Understand ML With Simplest Code https://community.nxp.com/docs/DOC-341099 04/23/2018:     i.MX8M Standalone Build     i.MX8M Standalone Build.pdf 04/13/2018:      i.MX6SX M4 MPU Settings For RPMSG  update            Add slide CMA Arrangement  Consideration     i.MX6SX_M4_MPU_Settings_For_RPMSG_04132018.pdf 09/05/2017:       Update eMMC RPMB, Enhance  and GP       eMMC_RPMB_Enhance_and_GP.pdf 09/01/2017:       eMMC RPMB, Enhance  and GP       eMMC_RPMB_Enhance_and_GP.pdf 08/30/2017:     Dual LVDS for High Resolution Display(For i.MX6DQ/DLS)     Dual LVDS for High Resolution Display.pdf 08/27/2017:  L3.14.28 Ottbox Porting Notes:         L3.14.28_Ottbox_Porting_Notes-20150805-2.pdf MFGTool Uboot Share With the Normal Run One:        MFGTool_Uboot_share_with_NormalRun_sourceCode.pdf Mass Production with programmer        Mass_Production_with_NAND_programmer.pdf        Mass_Production_with_emmc_programmer.pdf AndroidSDCARDMirrorCreator https://community.nxp.com/docs/DOC-329596 L3.10.53 PianoPI Porting Note        L3.10.53_PianoPI_PortingNote_151102.pdf Audio Codec WM8960 Porting L3.10.53 PianoPI        AudioCodec_WM8960_Porting_L3.10.53_PianoPI_151012.pdf TouchScreen PianoPI Porting Note         TouchScreen_PianoPI_PortingNote_151103.pdf Accessing GPIO From UserSpace        Accessing_GPIO_From_UserSpace.pdf        https://community.nxp.com/docs/DOC-343344 FreeRTOS for i.MX6SX        FreeRTOS for i.MX6SX.pdf i.MX6SX M4 fastup        i.MX6SX M4 fastup.pdf i.MX6 SDCARD Secondary Boot Demo        i.MX6_SDCARD_Secondary_Boot_Demo.pdf i.MX6SX M4 MPU Settings For RPMSG        i.MX6SX_M4_MPU_Settings_For_RPMSG_10082016.pdf Security        Security03172017.pdf    NOT related to i.MX, only a short memo
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Design Check Lists: HW Design Checking List for i.MX6DQSDL HW Design Checking List for i.Mx53 Hardware Design Checklist for i.MX28 HW_Design_Checking_List_for_i.MX6SoloX i.MX6UL Hardware design checklist DDR Design Tool: i.Mx6DQSDL DDR3 Script Aid MX6DQP DDR3 Script Aid i.Mx6DQSDL LPDDR2 Script Aid i.Mx6SL LPDDR2 Script Aid i.MX6SX DDR3 Script Aid I.MX6UL DDR3 Script Aid i.MX6UL_LPDDR2_Script_Aid i.MX6ULL_DDR3_Script_Aid  i.MX6ULL_LPDDR2_Script_Aid  MX6SLL_LPDDR2_Script_Aid  MX6SLL_LPDDR3_Script_Aid  I.MX53 DDR3 Script Aid i.MX8M DDR3L register programming aid  i.MX6 DDR Stress Test Tool V1.0.3 imx53 DDR stress tester V0.042 i.MX6/7 DDR Stress Test Tool V3.00 i.MX8MSCALE DDR Tool Release  Application Notes: MX_Design_Validation_Guide I.MX6 series USB Certification Guides
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