Overview ======== The LPUART example for FreeRTOS demonstrates the possibility to use the LPUART driver in the RTOS with hardware flow control. The example uses two instances of LPUART IP and sends data between them. The UART signals must be jumpered together on the board. Toolchain supported =================== - MCUXpresso 11.0.0 Hardware requirements ===================== - Mini/micro USB cable - MIMXRT1050-EVKB board - Personal Computer Board settings ============== R278 and R279 must be populated, or have pads shorted. These resistors are under the display opposite side of board from uSD connector. The following pins need to be jumpered together: --------------------------------------------------------------------------------- | | UART3 (UARTA) | UART8 (UARTB) | |---|-------------------------------------|-------------------------------------| | # | Signal | Function | Jumper | Jumper | Function | Signal | |---|---------------|----------|----------|----------|----------|---------------| | 1 | GPIO_AD_B1_07 | RX | J22-pin1 | J23-pin1 | TX | GPIO_AD_B1_10 | | 2 | GPIO_AD_B1_06 | TX | J22-pin2 | J23-pin2 | RX | GPIO_AD_B1_11 | | 3 | GPIO_AD_B1_04 | CTS | J23-pin3 | J24-pin5 | RTS | GPIO_SD_B0_03 | | 4 | GPIO_AD_B1_05 | RTS | J23-pin4 | J24-pin4 | CTS | GPIO_SD_B0_02 | --------------------------------------------------------------------------------- Prepare the Demo ================ 1. Connect a USB cable between the host PC and the OpenSDA USB port on the target board. 2. Open a serial terminal with the following settings: - 115200 baud rate - 8 data bits - No parity - One stop bit - No flow control 3. Download the program to the target board. 4. Either press the reset button on your board or launch the debugger in your IDE to begin running the demo. Running the demo ================ You will see status of the example printed to the console. Customization options =====================

MCUXPRESSO SECURE PROVISIONING TOOL是官方今年上半年推出的一个针对安全的软件工具，操作起来非常的简单便捷而且稳定可靠，对于安全功能不熟悉的用户十分友好。但就是目前功能还不是很完善，只能支持HAB的相关操作，后续像BEE之类的需等待更新。 详细的介绍信息以及用户手册请参考官方网址：MCUXpresso Secure Provisioning Tool | Software Development for NXP Microcontrollers (MCUs) | NXP | NXP  目前似乎知道这个工具的客户还不是很多，大部分用的更多的还是MCU BOOT UTILITY。那么如果已经用了MCU BOOT UTILITY烧录了FUSE，现在想用官方工具了怎么办了？其实对两者进行研究对比后，他们最原始的执行部分都是一样的，所以我们按照如下步骤进行相应的简单替换就能把新工具用起来： 首先是crts可keys的替换， MCU BOOT UTILITY的路径是在： ..\NXP-MCUBootUtility-2.2.0\NXP-MCUBootUtility-2.2.0\tools\cst MCUXPRESSO SECURE PROVISIONING的对应路径是在对应workspace的根目录： 另外还有一个就是encrypted模式会用到的hab_cert，需要将下面这两个文件对应替换，而且两个工具的命名不同，注意修改。 MCU BOOT UTILITY的路径是在： ..\NXP-MCUBootUtility-2.2.0\NXP-MCUBootUtility-2.2.0\gen\hab_cert MCUXPRESSO SECURE PROVISIONING的路径是workspace里： ..\secure_provisioning_RT1050\gen_hab_certs MCU BOOT UTILITY里命名为：SRK_1_2_3_4_table.bin;  SRK_1_2_3_4_fuse.bin MCUXPRESSO SECURE PROVISIONING里命名为：SRK_fuses.bin; SRK_hash.bin 至此，就能够在新工具上用起来了 最后提一下，就是这个新工具是可以建不同的workspace来相应存储不同秘钥的项目，能够方便用户区分。在新工具下建的项目也是可以互相替换秘钥的，参考上术步骤中的secure provisioning部分即可。

This application note describes how to develop an H.264 video decoding application with the NXP i.MX RT1050 processor . Click here to access the full application note. Click here to access the github repo of FFMPEG（ code, no GPL ) . state: the code is for evaluation purpose only.

Introduction i.MX RT ROM bootloader provides a wealth of options to enable user programs to start in various ways. In some cases, people want to copy application image from Flash or other storage device to SDRAM and run there. In this article, I record three ways to realize this. Section 2 and 3 shows load image from NOR flash. Section 4 shows load image from SD card. Software and Tools: MCUXpresso IDE v11.1 NXP-MCUBootUtility 2.2.0   MIMXRT1060-EVK   RT1060 SDK v2.7.0   Win10   Add DCD by MCUxpresso IDE If customers use MCUXpresso to develop the project, they can add DCD head by MCUXpresso. To show the work flow, we take evkmimxrt1020_iled_blinky as the example. Step 1: Add the following to Compiler options: XIP_BOOT_HEADER_DCD_ENABLE=1 SKIP_SYSCLK_INIT Step 2: Modify the Memory Configuration Step 3: Select link application to RAM Step 4. Compile the project. MCUXpresso will generate linker script automatically. Step 5. Since the code should be linked to RAM, MCUXpresso will not prefix IVT and DCD. We can add these link information to linker script manually. Add below code to .ld file’s head.     .boot_hdr : ALIGN (4)     {         FILL (0xff)         __boot_hdr_start__ = ABSOLUTE (.) ;         KEEP ( *(.boot_hdr.conf) )         . = 0x1000 ;         KEEP ( *(.boot_hdr.ivt) )         . = 0x1020 ;         KEEP ( *(.boot_hdr.boot_data) )         . = 0x1030 ;         KEEP ( *(.boot_hdr.dcd_data) )         __boot_hdr_end__ = ABSOLUTE (.) ;         . = 0x2000 ;     } > BOARD_SDRAM   Then deselect “Manage linker script” in last screenshot. Step 6. Recompile the project, IVT/DCD/BOOT_DATA will be add to your project. Then right click the project axf file->Binary Utilities->Create S-record.   After all these step, you can open MCUBootUtility and download the .s19 file to NOR flash.   Add DCD by MCUBootUtility We can also keep the linker script managed by IDE. MCUBootUtility can add head too. Sometimes it is more flexible than other manners. Step 1. This time BOARD_SDRAM location should be changed to 0x80002000 while the size should be 0x1cff000. This is because the start 8k space in bootable image is saved for IVT and DCD. Step 2. compile the project and generate the .s19 file. Step 3. Open MCUBootUtility. In MCUBootUtility, we should first set the Device Configuration Data. Here I use MIMXRT1060_EVK. So I select the DCD bin file in NXP-MCUBootUtility-2.2.0\src\targets\MIMXRT1062. After that, select the application image file and click All-in-one Action button. MCUBootUtility can do all the work without any manual operation.   Boot from SD card to SDRAM In some application, customer don’t want XIP. They want to use SD card to keep application image and run the code in RAM. But if the code size is bigger than OCRAM size, they have to copy image into SDRAM when startup. With MCUBootUtility’s help, this work is very easy too.   User just need to change the memory map which is located to 0x80001000.   In MCUBootUtility, select the Boot Device to “uSDHC SD” and insert SD card. Then connect the target board. If RT1060 can read the SD card, it will display the SD card information. Then same as last section, set the DCD file and application image file. Click the All-in-One Action button, MCUBootUtility will generate the bootable image and write it to SD card. SD card has huge capacity. It's too wasteful to only store boot image. People may ask that can they also create a FAT32 system and store more data file in it? Yes, but you need tool's help. When booting from SD card, ROM code read IVT and DCD from SD card address 0x400. To FAT32, the first 512 bytes in SD is for MBR(MAIN BOOT RECORD). Data in address 0x1c6 in MBR reords the partition start address. If the space from MBR to partition start address is big enough to store boot image, then FAT32 system and boot image can live in peace. .   Conclusions:      To help Boot ROM initialize SDRAM, DCD must be placed at right place and indexed by IVT correctly. When our code seems not work, we should first check IVT and DCD.          The IVT offset from the base address for each boot device type is defined in the table below. The location of the IVT is the only fixed requirement by the ROM. The remainder or the image memory map is flexible and is determined by the contents of the IVT.

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[中文翻译版] 见附件   原文链接： https://community.nxp.com/community/imx/blog/2019/04/17/do-you-have-a-minute 

Overview of i.MX RT1050         The i.MX RT 1050 is the industry's first crossover processor and combines the high-performance and high level of integration on an applications processors with the ease of use and real-time functionality of a micro-controller. The i.MX RT1050 runs on the Arm Cortex-M7 core at 600 MHz, it means that it definitely has the ability to do some complicated computing, such as floating-point arithmetic, matrix operation, etc. For general MCU, they're hard to conquer these complicated operations.         It has a rich peripheral which makes it suit for a variety of applications, in this demo, the PXP (Pixel Pipeline), CSI (CMOS Sensor Interface), eLCDIF (Enhanced LCD Interface) allows me to build up camera display system easily Fig 1 i.MX RT series           It has a rich peripheral which makes it suit for a variety of applications, in this demo, the PXP (Pixel Pipeline), CSI (CMOS Sensor Interface), eLCDIF (Enhanced LCD Interface) allows me to build up camera display system easily Fig 2 i.MX RT1050 Block Diagram Basic concept of Compute Vision (CV)          Machine Learning (ML) is moving to the edge because of a variety of reasons, such as bandwidth constraint, latency, reliability, security, ect. People want to have edge computing capability on embedded devices to provide more advanced services, like voice recognition for smart speakers and face detection for surveillance cameras. Fig 3 Reason        Convolutional Neural Networks (CNNs) is one of the main ways to do image recognition and image classification. CNNs use a variation of multilayer perception that requires minimal pre-processing, based on their shared-weights architecture and translation invariance characteristics. Fig 4 Structure of a typical deep neural network         Above is an example that shows the original image input on the left-hand side and how it progresses through each layer to calculate the probability on the right-hand side. Hardware MIMXRT1050 EVK Board; RK043FN02H-CT(LCD Panel) Fig 5 MIMXRT1050 EVK board Reference demo code emwin_temperature_control: demonstrates graphical widgets of the emWin library. cmsis_nn_cifar10: demonstrates a convolutional neural network (CNN) example with the use of convolution, ReLU activation, pooling and fully-connected functions from the CMSIS-NN software library. The CNN used in this example is based on the CIFAR-10 example from Caffe. The neural network consists of 3 convolution layers interspersed by ReLU activation and max-pooling layers, followed by a fully-connected layer at the end. The input to the network is a 32x32 pixel color image, which is classified into one of the 10 output classes. Note: Both of these two demo projects are from the SDK library Deploy the neuro network mode Fig 6 illustrates the steps of deploying the neuro network mode on the embedded platform. In the cmsis_nn_cifar10 demo project, it has provided the quantized parameters for the 3 convolution layer, so in this implementation, I use these parameters directly, BTW, I choose 100 images randomly from the Test set as a round of input to evaluate the accuracy of this model. And through several rounds of testing, I get the model's accuracy is about 65% as the below figure shows. Fig 6 Deploy the neuro network mode Fig 7 cmsis_nn_cifar10 demo project test result The CIFAR-10 dataset is a collection of images that are commonly used to train ML and computer vision algorithms, it consists of 60000 32x32 color images in 10 classes, with 6000 images per class ("airplane", "automobile", "bird", "cat", "deer", "dog", "frog", "horse", "ship", "truck"). There are 50000 training images and 10000 test images. Embedded platform software structure         After POR, various components are initialized, like system clock, pin mux, camera, CSI, PXP, LCD and emWin, etc. Then control GUI will show up in the LCD, press the Play button will display the camera video in the LCD, once an object into the camera's window, you can press the Capture button to pause the display and run the model to identify the object. Fig8 presents the software structure of this demo. Fig 8 Embedded platform software structure Object identify Test The three figures present the testing result.   Fig 9 Fig 10 Fig 11 Furture work          Use the Pytorch framework to train a better and more complicated convolutional network for object recognition usage.

[中文翻译版] 见附件 原文链接： https://community.nxp.com/docs/DOC-342297

[中文翻译版] 见附件 原文链接： https://community.nxp.com/docs/DOC-342954

Source code: https://github.com/JayHeng/NXP-MCUBootUtility   【v2.0.0】 Features: > 1. Support i.MXRT5xx A0, i.MXRT6xx A0 >    支持i.MXRT5xx A0, i.MXRT6xx A0 > 2. Support i.MXRT1011, i.MXRT117x A0 >    支持i.MXRT1011, i.MXRT117x A0 > 3. [RTyyyy] Support OTFAD encryption secure boot case (SNVS Key, User Key) >     [RTyyyy] 支持基于OTFAD实现的安全加密启动（唯一SNVS key，用户自定义key） > 4. [RTxxx] Support both UART and USB-HID ISP modes >     [RTxxx] 支持UART和USB-HID两种串行编程方式（COM端口/USB设备自动识别） > 5. [RTxxx] Support for converting bare image into bootable image >     [RTxxx] 支持将裸源image文件自动转换成i.MXRT能启动的Bootable image > 6. [RTxxx] Original image can be a bootable image (with FDCB) >     [RTxxx] 用户输入的源程序文件可以包含i.MXRT启动头 (FDCB) > 7. [RTxxx] Support for loading bootable image into FlexSPI/QuadSPI NOR boot device >     [RTxxx] 支持下载Bootable image进主动启动设备 - FlexSPI/QuadSPI NOR接口Flash > 8. [RTxxx] Support development boot case (Unsigned, CRC) >     [RTxxx] 支持用于开发阶段的非安全加密启动（未签名，CRC校验） > 9. Add Execute action support for Flash Programmer >     在通用Flash编程器模式下增加执行(跳转)操作 > 10. [RTyyyy] Can show FlexRAM info in device status >       [RTyyyy] 支持在device status里显示当前FlexRAM配置情况 Improvements: > 1. [RTyyyy] Improve stability of USB connection of i.MXRT105x board >     [RTyyyy] 提高i.MXRT105x目标板USB连接稳定性 > 2. Can write/read RAM via Flash Programmer >    通用Flash编程器里也支持读写RAM > 3. [RTyyyy] Provide Flashloader resident option to adapt to different FlexRAM configurations >     [RTyyyy] 提供Flashloader执行空间选项以适应不同的FlexRAM配置 Bugfixes: > 1. [RTyyyy] Sometimes tool will report error "xx.bat file cannot be found" >     [RTyyyy] 有时候生成证书时会提示bat文件无法找到，导致证书无法生成 > 2. [RTyyyy] Editing mixed eFuse fields is not working as expected >     [RTyyyy] 可视化方式去编辑混合eFuse区域并没有生效 > 3. [RTyyyy] Cannot support 32MB or larger LPSPI NOR/EEPROM device >     [RTyyyy] 无法支持32MB及以上容量的LPSPI NOR/EEPROM设备 > 4. Cannot erase/read the last two pages of boot device via Flash Programmer >    在通用Flash编程器模式下无法擦除/读取外部启动设备的最后两个Page

Source code: https://github.com/JayHeng/NXP-MCUBootUtility 【v1.3.0】 Features: > 1. Can generate .sb file by actions in efuse operation utility window >    支持生成仅含自定义efuse烧写操作(在efuse operation windows里指定)的.sb格式文件 Improvements: > 1. HAB signed mode should not appliable for FlexSPI/SEMC NOR device Non-XIP boot with RT1020/1015 ROM >    HAB签名模式在i.MXRT1020/1015下应不支持从FlexSPI NOR/SEMC NOR启动设备中Non-XIP启动 > 2. HAB encrypted mode should not appliable for FlexSPI/SEMC NOR device boot with RT1020/1015 ROM >    HAB加密模式在i.MXRT1020/1015下应不支持从FlexSPI NOR/SEMC NOR启动设备中启动 > 3. Multiple .sb files(all, flash, efuse) should be generated if there is efuse operation in all-in-one action >    当All-In-One操作中包含efuse烧写操作时，会生成3个.sb文件(全部操作、仅flash操作、仅efuse操作) > 4. Can generate .sb file without board connection when boot device type is NOR >    当启动设备是NOR型Flash时，可以不用连接板子直接生成.sb文件 > 5. Automatic image readback can be disabled to save operation time >    一键操作下的自动程序回读可以被禁掉，用以节省操作时间 > 6. The text of language option in menu bar should be static and easy understanding >    菜单栏里的语言选项标签应该是静态且易于理解的(中英双语同时显示) Bugfixes: > 1. Cannot generate bootable image when original image (hex/bin) size is larger than 64KB >    当输入的源image文件格式为hex或者bin且其大小超过64KB时，生成可启动程序会失败 > 2. Cannot download large image file (eg 6.8MB) in some case >    当输入的源image文件非常大时(比如6.8MB)，下载可能会超时失败 > 3. There is language switch issue with some dynamic labels >    当切换显示语言时，有一些控件标签(如Connect按钮)不能实时更新 > 4. Some led demos of RT1050 EVKB board are invalid >    /apps目录下RT1050 EVKB板子的一些LED demo是无效的 【v1.4.0】 Features: > 1. Support for loading bootable image into uSDHC SD/eMMC boot device >    支持下载Bootable image进主动启动设备 - uSDHC接口SD/eMMC卡 > 2. Provide friendly way to view and set mixed eFuse fields >    支持更直观友好的方式去查看/设置某些混合功能的eFuse区域 Improvements: > 1. Set default FlexSPI NOR device to align with NXP EVK boards >    默认FlexSPI NOR device应与恩智浦官方EVK板卡相匹配 > 2. Enable real-time gauge for Flash Programmer actions >    为通用Flash编程器里的操作添加实时进度条显示