The i.MX RT600 MCU includes a Cadence® Tensilica® HiFi 4 DSP running at frequencies of up to 600 MHz.The XOS embedded kernel from Cadence is designed for efficient operation on embedded system built using the Xtensa architecture. Although various parts of XOS continue to be tuned for efficient performance on the Xtensa hardware, most of the code is written in standard C and is not Xtensa-specific. Click here to access the full application note.

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

A small project I worked on was to understand how RT1050 boot-up performs from different memory types. I used the LED_blinky code from the SDK as a baseline, and ran some tests on the EVKB board. The data I gathered is described below, as well as more detailed testing procedures. Testing Procedure The boot-up time will be defined as the time from which the processor first receives power, to when it executes the first line of code from the main() function. Time was measured using an oscilloscope (Tektronix TDS 2014) between the rising edge of the POR_B* signal to the following two points: FlexSPI_CS asserted (first read of the FlexSPI by the ROM)** GPIO Toggle in application code (signals beginning of code execution).*** *The POR_B signal was available to scope through header J26-1 **The FlexSPI_CS signal is available through a small pull-up resistor on the board, R356. A small wire was soldered alongside this resistor, and was probed on the oscilloscope. ***The GPIO pin that was used was the same one that connected to USER_LED (Active low). This pin could be scoped through header J22-5. TP 2, 3, 4, and 5 are used to ground the probe of the oscilloscope. This was all done in the EVKB evaluation board. Here are a couple of noteworthy points about the test ran: This report mostly emphasizes the time between the rise of the POR_B signal, and the first line of execution of code. However, there is a time between when power is first provided to the board and the POR_B system goes up. This is a matter of power electronics and can vary depending on the user application and design. Because of this, this report will not place a huge emphasis on this. The first actual lines of code of the application is actually configuring several pins of the processor. Only after these pins are executed, does the GPIO toggle low and the time is taken on the oscilloscope. However, these lines of configuration code are executed so rapidly, that the time is ignored for the test.   Clock Configurations The bootable image was flashed to the RT1050 in all three cases. Afterwards, in MCUXpresso, the debugger was configured with “Attach Only” set to true. A debug session was then launched, and after the processor finished executing code, it was paused and the register values were read according to the RT1050 Reference Manual, chapter 18, CCM Block Diagram.  Boot Configuration: Core Clock (MHz) * FlexSPI Clock (MHz) SEMC Clock (MHz) FlexSPI 130 99 SDRAM 396 130 99 SRAM 396 130 99 *The Core Clock speed was also verified by configuring clko1 as an output with the clock speed divided by 8. This frequency was measured using an oscilloscope and verified to be 396 MHz. Results The time to chip select pin represents the moment when the first flash read happens from the RT1050 processor. The time to GPIO output represents the boot-up time.   As expected, XiP Hyperflash boots faster than other memories. SRAM and SDRAM memories must copy to executable memory before executing which will take more time and therefore boot slower. In the sections below, a more thorough explanation is provided of how these tests were ran and why Hyperflash XiP is expected to be the fastest. Hyperflash XiP Boot Up Below is an outline of the steps of what we expect the Hyperflash XiP boot-up process to look like: Power On Reset (J26-1) Begin access to Flash memory (FlexSPI_SS0) Execute in place in flash (XiP) First line of code is exectuted (USER_LED) In MCUXpresso, the map file showed the following: The oscilloscope image is below:   SDRAM Boot Up The processor will bootup from ROM, which will be told to copy an application image from the serial NOR flash memory to SDRAM (serial NOR flash uses Hyperflash communication). The RT flashloader tool will let me load up the application to the flash to be configured to copy over memory to the SDRAM and execute to it.   It is expected that copying to SDRAM will be slower than executing in place from Hyperflash since an entire copying action must take place.   The SDRAM boot-up process looks like the following: Power On Reset (J26-1) Begin access to Flash memory (FlexSPI_SS0) Copy code to SDRAM Execute in place in SDRAM (FlexSPI_SS0) First line of code is executed (USER_LED)   In MCUXpresso, the map file showed the following:   In order to run this test, I followed these instructions: https://community.nxp.com/docs/DOC-340655. SRAM Boot Up For SRAM, a similar process to that of SDRAM is expected. The processor will first boot from internal ROM, and then go to Hyperflash. It will then copy over everything from Hyperflash to internal SRAM DTC memory and then execute from there.  The SRAM Boot Up Process follows as such: Power On Reset (J26-1) Begin access to Flash memory (FlexSPI_SS0) Copy code to SRAM Execute in place in SRAM (FlexSPI_SS0) First line of code is executed (USER_LED)   In MCUXpresso, the map file showed the following:   This document was generated from the following discussion: javascript:;

The RT600 is a family of dual-core microcontrollers for embedded applications featuring an Arm® Cortex®-M33 CPU combined with a Cadence® Tensilica ® HiFi 4 audio DSP core.  Check out this latest app note to learn about communication and debugging of these two cores.  For list of all i.MX RT600 app notes, visit: nxp.com/imxrt600

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

[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 

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This document describes how to program a bootable image into the recovery Flash device using i.MX RT600 MCUs. Click here to access the full application note.

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

[中文翻译版] 见附件 原文链接： https://community.nxp.com/docs/DOC-341316

Goal Our goal is to train a model that can take a value, x, and predict its sine, y. In a real-world application, if you needed the sine of x, you could just calculate it directly. However, by training a model to approximate the result, we can demonstrate the basics of machine learning. TensorFlow and Keras TensorFlow is a set of tools for building, training, evaluating, and deploying machine learning models. Originally developed at Google, TensorFlow is now an open-source project built and maintained by thousands of contributors across the world. It is the most popular and widely used framework for machine learning. Most developers interact with TensorFlow via its Python library. TensorFlow does many different things. In this post, we’ll use Keras, TensorFlow’s high-level API that makes it easy to build and train deep learning networks. To enable TensorFlow on mobile and embedded devices, Google developed the TensorFlow Lite framework. It gives these computationally restricted devices the ability to run inference on pre-trained TensorFlow models that were converted to TensorFlow Lite. These converted models cannot be trained any further but can be optimized through techniques like quantization and pruning. Building the Model To building the Model, we should follow the below steps. Obtain a simple dataset. Train a deep learning model. Evaluate the model’s performance. Convert the model to run on-device. Please navigate to the URL in your browser to open the notebook directly in Colab, this notebook is designed to demonstrate the process of creating a TensorFlow model and converting it to use with TensorFlow Lite. Deploy the mode to the RT MCU Hardware Board: MIMXRT1050 EVK Board Fig 1 MIMXRT1050 EVK Board Template demo code: evkbimxrt1050_tensorflow_lite_cifar10 Code /* Copyright 2017 The TensorFlow Authors. All Rights Reserved. Copyright 2018 NXP. All Rights Reserved. Licensed under the Apache License, Version 2.0 (the "License"); you may not use this file except in compliance with the License. You may obtain a copy of the License at http://www.apache.org/licenses/LICENSE-2.0 Unless required by applicable law or agreed to in writing, software distributed under the License is distributed on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied. See the License for the specific language governing permissions and limitations under the License. ==============================================================================*/ #include "board.h" #include "pin_mux.h" #include "clock_config.h" #include "fsl_debug_console.h" #include <iostream> #include <string> #include <vector> #include "timer.h" #include "tensorflow/lite/kernels/register.h" #include "tensorflow/lite/model.h" #include "tensorflow/lite/optional_debug_tools.h" #include "tensorflow/lite/string_util.h" #include "Sine_mode.h" int inference_count = 0; // This is a small number so that it's easy to read the logs const int kInferencesPerCycle = 30; const float kXrange = 2.f * 3.14159265359f; #define LOG(x) std::cout void RunInference() { std::unique_ptr<tflite::FlatBufferModel> model; std::unique_ptr<tflite::Interpreter> interpreter; model = tflite::FlatBufferModel::BuildFromBuffer(sine_model_quantized_tflite, sine_model_quantized_tflite_len); if (!model) { LOG(FATAL) << "Failed to load model\r\n"; exit(-1); } model->error_reporter(); tflite::ops::builtin::BuiltinOpResolver resolver; tflite::InterpreterBuilder(*model, resolver)(&interpreter); if (!interpreter) { LOG(FATAL) << "Failed to construct interpreter\r\n"; exit(-1); } float input = interpreter->inputs()[0]; if (interpreter->AllocateTensors() != kTfLiteOk) { LOG(FATAL) << "Failed to allocate tensors!\r\n"; } while(true) { // Calculate an x value to feed into the model. We compare the current // inference_count to the number of inferences per cycle to determine // our position within the range of possible x values the model was // trained on, and use this to calculate a value. float position = static_cast<float>(inference_count) / static_cast<float>(kInferencesPerCycle); float x_val = position * kXrange; float* input_tensor_data = interpreter->typed_tensor<float>(input); *input_tensor_data = x_val; Delay_time(1000); // Run inference, and report any error TfLiteStatus invoke_status = interpreter->Invoke(); if (invoke_status != kTfLiteOk) { LOG(FATAL) << "Failed to invoke tflite!\r\n"; return; } // Read the predicted y value from the model's output tensor float* y_val = interpreter->typed_output_tensor<float>(0); PRINTF("\r\n x_value: %f, y_value: %f \r\n", x_val, y_val[0]); // Increment the inference_counter, and reset it if we have reached // the total number per cycle inference_count += 1; if (inference_count >= kInferencesPerCycle) inference_count = 0; } } /* * @brief Application entry point. */ int main(void) { /* Init board hardware */ BOARD_ConfigMPU(); BOARD_InitPins(); BOARD_InitDEBUG_UARTPins(); BOARD_BootClockRUN(); BOARD_InitDebugConsole(); NVIC_SetPriorityGrouping(3); InitTimer(); std::cout << "The hello_world demo of TensorFlow Lite model\r\n"; RunInference(); std::flush(std::cout); for (;;) {} } ‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍‍ Test result On the MIMXRT1050 EVK Board, we log the input data: x_value and the inferenced output data: y_value via the Serial Port. Fig2 Received data In a while loop function, It will run inference for a progression of x values in the range 0 to 2π and then repeat. Each time it runs, a new x value is calculated, the inference is run, and the data is output. Fig3 Test result In further, we use Excel to display the received data against our actual values as the below figure shows. Fig4 Dot Plot You can see that, for the most part, the dots representing predicted values form a smooth sine curve along the center of the distribution of actual values. In general, Our network has learned to approximate a sine curve.

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 REQUIREMENTS UTILITY USAGE INTEGRATION FUNCTIONAL DEMONSTRATION     1. INTRODUCTION   This document explains how to create an emWin application using as reference the emwin_temperature_control demo included on MCUXpresso SDK, and the emWin Utilities. The custom application for this example, is a Tic-Tac-Toe game, using the emWin GUI as user input, adding the proper logic for game implementation on the emWin generated code, and running on a MIMXRT1060-EVK board. 2. REQUIREMENTS   For the demonstration of this demo, the following material is required: MIMXRT1060-EVK board with the RK043FN02H-CT 4.3" LCD Panel. MCUXpresso IDE v11.0. MCUXpresso SDK v2.6.2 for EVK-MIMXRT1060, including the emWin middleware. Segger emWin 5.38b Libraries and Utilities. emWin 5.30 documentation. 3. UTILITY USAGE   For this demo, just GUIBuilder utility is used, and from this utility, just four widget elements are implemented on the application: Window, Text, Button and Image. At the beginning, one Window is added, configuring its xSize and ySize to 480 x 272, matching with screen's resolution. Over this Window, all the other elements are placed. Each Widget have proprieties that could be added/modified with the right click menu. The overall number of used widgets elements are the following: Three Text widgets, one for the title, other to indicate the next turn, and a third that is empty, because it will be dynamically updated to indicate the winner of the game (or indicating a Draw). Two Image widgets, on where BPM files are loaded and converted to constant arrays, to have the Cross/Circle icons indicating the current turn of the game. Ten Button widgets, one to reinitialize the game, and the other nine to build the 3x3 array used for the game. The complete application layout is shown on the following figure: Then, click on "File->Save" menu, and a file named "WindowDLG.c" file should be created on the same folder on where GUIBuilder utility is located. The "WindowDLG.c" file of this demo, as well as the BMP files for the cross/circle icons could be found on the attachments of this document. Additionally, you could also click on "File->Open" to open the downloaded "WindowDLG.c" file and modify it by your own. 4. INTEGRATION   1) First of all, it is required to import the "emwin_temperature_control" demo included on MCUXpresso SDK for MIMXRT1060-EVK board: Import SDK example(s) -> evkmimxrt1060 -> emwin_examples -> emwin_temperature_control 2) Just after importing the demo, by convenience we have renamed the project and the "source->emwin_temperature_control.c" to "evkmimxrt1060_emwin_tictactoe" and "emwin_tictactoe.c" (right click -> rename). After applying these changes, the demo should be able to be compiled and downloaded without errors and running without issues: 3) Then, open the "WindowDLG.c" file generated by the GUIBuilder and locate the "Defines" section. Copy all of them and replace the Definitions for Widgets IDs already included on the "emwin_tictactoe.c" file. 4) Also remove the "Some dimension defines" and "Colors" sections of the "emwin_tictactoe.c" file, and also the content of "Structures", "Static data". From the same file, also remove the sections for "_aGradient", "_GetSelectedRoom", "_SetFanButtonState", "_cbButton", "_cbButtonFan", "_cbKnob", "_DrawKnob", "_OnRelease". 5) Add the "_acImage_0" and "_acImage_1" arrays from the "WindowDLG.c" file to the "Static data" section of "emwin_tictactoe.c" file. 6) Replace all the elements from the "_aDialogCreate" array from the "emwin_tictactoe.c" with the ones from the "WindowDLG.c" file. 7) Add the function "_GetImageById" and replace the function "_cbDialog" from the "WindowDLG.c" file to the "emwin_tictactoe.c" file. 😎 Until here, the application should be compiled and downloaded without issues, although there is not included any functionality to perform the match. The downloaded layout is shown on the following image: 9) Now, for the implementation of the game itself, the following variables are added to the "Static data" section of "emwin_tictactoe.c" file. "player_turn" indicates who is the current player on move ("X" or "O"). "slots_free" is a counter to know how many remaining slots are free. "winner_player" stores who is the winner, or if the game is a Draw. "slot_status" array is in charge to store the current statusof each slot U8 i, player_turn=0, slots_free=9, winner_player=0; const U32 player_colors[] = {GUI_RED, GUI_BLUE}; enum {SLOT_FREE, SLOT_X, SLOT_O, SLOT_LOCK}; U8 slot_status[] = {SLOT_FREE, SLOT_FREE, SLOT_FREE,                               SLOT_FREE, SLOT_FREE, SLOT_FREE,                               SLOT_FREE, SLOT_FREE, SLOT_FREE}; 10) It was also implemented a function that checks all the possible Slot combinations to define the winner or if the match is a draw. It is the function "CheckWinner" and could be ckeched in the "emwin_tictactoe.c" file of the attachments, that already have all the required changes to have the Tic-Tac-Toe demo running. It is also required adding its function prototype to the "Prototypes" section of "emwin_tictactoe.c" file. 11) Basically, almost all of the game mechanics are defined by the "WM_NOTIFICATION_CLICKED" event of the 9x9 Buttons widgets, so, it is implemented inside the "_cbDialog" function. Below you could find the code for "ID_BUTTON_0"; the red highlights are what change for each Button event:     case ID_BUTTON_0: // Notifications sent by 'Button'       switch(NCode) {       case WM_NOTIFICATION_CLICKED:         // USER START (Optionally insert code for reacting on notification message)         if (slot_status[0] == SLOT_FREE){             hItem = WM_GetDialogItem(pMsg->hWin, ID_BUTTON_0);             BUTTON_SetTextColor(hItem, 0, player_colors[player_turn]);             if (!player_turn){                 BUTTON_SetText(hItem, "X");                 slot_status[0] = SLOT_X;             }             else{                 BUTTON_SetText(hItem, "O");                 slot_status[0] = SLOT_O;             }             player_turn ^= 1;             slots_free--;         }         // USER END         break; 12) For the Restart Button, the implemented logic is in charge of revert back all the Slots status to "Free", erase the content of all the Slots, and also restart the counter of free Slots to nine. 13) After polling all the GUI widgets events, the "CheckWinner" function is called, and then, the winner is defined, indicating it on the "Text_Winner" widget (on the upper-left corner of the screen) that was originally empty. 14) It is also implemented a functionality to directly draw a green rectangle (using emWin Draw functions) around the Cross/Circle icons, depending who is the player on move (also implemented inside the "_cbDialog" function, at the end).   //Draw green rectangle to indicate the player on move   if (!player_turn)   {     GUI_SetColor(GUI_GREEN);     GUI_DrawRoundedFrame(6, 106, 83, 183, 0, 4);     GUI_SetColor(GUI_BLACK);     GUI_DrawRoundedFrame(6, 186, 83, 263, 0, 4);   }   else   {       GUI_SetColor(GUI_GREEN);       GUI_DrawRoundedFrame(6, 186, 83, 263, 0, 4);       GUI_SetColor(GUI_BLACK);       GUI_DrawRoundedFrame(6, 106, 83, 183, 0, 4);   } 15) Finally, a printf with a welcome message was added to "main" function, just before initializing the GUI.     PRINTF("Tic-Tac-Toe demo on i.MXRT1060.\r\n"); 5. FUNCTIONAL DEMONSTRATION   Below are shown captures of the application running, when Cross wins, when Circle wins, and when the match is a draw.  

The document will introduce how to configure LPSPI clock on I.MXRT1050. The purpose is to help IMXRT customers better understand the clock tree and configure LPSPI clock in SDK.    Customer can configure LPSPI clock according to the following steps: 1 Select Source according to the clock tree. 2   Set LPSPI_CKL_SEL according to the register CCM_CBCMR. 3 Enable LPSPIn clock according to the register CCM_CCGR1. 4 Set clock gate according to register CCM_ANALOG_PFD_480n[PFDn_CLKGATE]. 5 Set LPSPI_PODF according to register CCM_CBCMR. 6 Set TCR[PRESCALE] according to LPSPIx module. 7  Set CCR[SCKDIV] according to LPSPIx module. The customer can get the value LPSPI_CLK according to the above steps

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。

Recently, we often encounter customers using i.MXRT for RS485 communication. Mostly the problem of receiving and sending direction conversion in the process of using. Taking iMXRT1050 and SN65HVD11QDR as examples, The document introduces the LPUART to RS485 circuit and the method of transceiver control. The working principle is as follows: LPUART TXD: Transmit Data LPUART RXD: Receive Date LPUART RTS_B: Request To Send   The main control methods are as follows: 1  Use TXD signal line to do hardware automatic transceiver control According to the UART protocol, when the line is idle, TX is logic high. After the NOT gate, the LOW level is added to the direction control terminal, so when the UART is not  transmitting data, RS485 is in the state of receiving data. 2   Use GPIO control & LPUART_RTS More detailed information, users can refer to the link: https://www.nxp.com/docs/en/application-note/AN12679.pdf Note: Using GPIO control, software needs to judge the timing of receiving and sending. If the control is not good, it is easy to lose data. In order to control it well, the software must respond to TX FIFO "empty" interrupt, or query the sending status register, and accurately grasp the control opportunity, so as to ensure that there is no error in sending and receiving. Combined with the above methods, some customers are using the following control: Best Regards

The MIMXRT1050-EVK includes a CMSIS-DAP/DAP-Link interface that includes MSD drag and drop functionality for the HyperFlash on the board. The drag and drop programming functionality can be used to program applications compiled to execute-in-place (XIP) from the HyperFlash memory. In the early SDK versions for RT1050, the projects did not include the flash configuration block and IVT required to make a bootable image across all toolchains. Starting with the SDK 2.3.1 release, projects include XIP files that add this information to the project. This allows for programming a bootable application to the external flash memory directly from the debugger, so many customers might not even need to use the drag-and-drop programming feature any more. Because of the SDK changes, the DAP-Link application has also had changes: Early versions of the DAPLink firmware were setup to work with a raw application binary like those generated by the SDK 2.3.0 for toolchains other than the MCUXpresso IDE. These versions will take the raw application binary and prepend the flash configuration block for the HyperFlash/QSPI and an IVT to make a bootable image. Newer version of the DAPLink firmware are setup to work with a complete bootable binary like those generated by SDK 2.3.1 and later. These versions will not attempt to prepend a flash configuration block and IVT to the application, because these are assumed to already be present. The following table describes the versions of the DAPLink application that have been released. NOTE: the firmware can be updated on the board, so the version on a given board might not match what was originally programmed at manufacture time. The latest version of firmware can be downloaded from www.nxp.com/opensda Board Rev DAPLink MCU GIT SHA from details.txt file NOTE EVK_A2 MK20 34182e2cce4ca99073443ef29fbcfaab9e18caec DAPLink will add FCB and IVT EVK_A3-EVK-A5 MK20 853df431d81359e822f49363891f877f17d31efb DAPLink will add FCB and IVT EVKB_A MK20 853df431d81359e822f49363891f877f17d31efb DAPLink will add FCB and IVT EVKB_A1 MK20 853df431d81359e822f49363891f877f17d31efb DAPLink will add FCB and IVT EVKB_A1 MK20 b3435dbed0ba4f09680e49d2fcfdaab32c7a4c71 DAPLink will NOT add FCB and IVT To use the drag and drop programming: 1. Configure the board for serial downloader mode by setting SW7 to OFF-ON-OFF-ON.  2. Press SW3 to reset the processor. 3. Drag the application binary to the RT1050-EVK drive.  4. Put the board back in internal boot mode by setting SW7 to OFF-ON-ON-OFF. 5. Press SW3 to reset the processor and your application should boot.  There are some limitations to the drag and drop programming to keep in mind: - Only works for Hyperflash/QSPI XIP applications. Doesn't support copying the code from HyperFlash to another memory (like ITCM) for execution - Application initial stack pointer must be located in DTCM - Doesn't support DCD files The flashloader and ROM tools offer a second external memory programming method where the limitations above do not apply: https://www.nxp.com/downloads/en/initialization-boot-device-driver-code-generation/Flashloader_i.MXRT1050_1.0_GA.zip  Refer to AN12107 for more information: https://www.nxp.com/docs/en/application-note/AN12107.pdf?fsrch=1&sr=2&pageNum=1 

In the i.MXRT 1050 EVK web page, there is a very nice "Getting Started" page to show the videos and steps how to use the board. 1. Connect the board to your PC by a USB cable. 2. Build and download the SDK. a. In the SDK Builder web page, you can customize and download the specific SDK of your board. b. On the next page, you can select different OS and different IDE. Select "MCUpresso IDE" for Windows here. c. You can add the software component that you wanted. d. Request to build the SDK. e. When the build request has completed, the SDK is available for download under the SDK Dashboard page. - Download icon : Download the SDK - Rebuild icon : Rebuild the SDK with different setting - Share icon : Share the SDK to others - MCUConfigTool icon : Run the MCU Configuration Tool to configure the pinmux and clocks for your own design board. - Remove icon : Remove the SDK from the Dashboard. 3. Install the MCUXpresso IDE. a. Go to the MCUXpresso IDE weg page to download the IDE and then install it. 4. Build and run the example on EVK. a. Open the MCUXpresso IDE. Simply drag & drop the SDK zip file to "Installed SDKs" view. b. Import the SDK examples and then click "Next". c. Select the "hello_world" under the demo_apps. d. Click "Build" to build the demo. e. Execute the terminal software (e.g. PuTTY). The COM port of the console output can be found in "devices manager". The COM setting is 115200,8,N,1. f. Click the "bug" icon to start the debugging. g. Click "Resume All Debug Sessions" icon to run the demo. h. "hello world" print out in console. Reference: i.MXRT1050 web page ( Contain the datasheet, reference manual of the i.MXRT1050 processor) i.MXRT1050EVK web page ( Contain the user's guides of the i.MXRT1050 EVK) MCUXpresso IDE web page ( Contain the user's guides of the MCUXpresso IDE )

RT600 ROM API example for w25q128fw support.

1.1 Introduction 　　RT-Flash is a GUI tool specially designed for i.MX RT production. Its feature is similar to MfgTool2, but it solves below limitaions of MfgTool2: The .sb file can only be specified in xml file; USB port is the only choice to download .sb file; Sometimes USB Hub is required to connect; 　　With RT-Flash, you can easily get started with NXP MCU secure boot. The main features of RT-Flash include： Support i.MXRT1015, i.MXRT1021, i.MXRT1051/1052, i.MXRT1061/1062, i.MXRT1064 SIP Support both UART and USB-HID serial downloader modes Support for loading .sb image file into boot device 1.2 Download 　　RT-Flash is developed in Python, and it is open source. The development environment is Python 2.7.15 (32bit), wxPython 4.0.3, pySerial 3.4, pywinusb 0.4.2, PyInstaller 3.3.1 (or higher). Source code: https://github.com/JayHeng/RT-Flash 　　RT-Flash is packaged by PyInstaller, all Python dependencies have been packaged into an executable file (\RT-Flash\bin\RT-Flash.exe), so if you do not want to develop RT-Flash for new feature, there is no need to install any Python software or related libraries. Note1: The RT-Flash.exe in the source code package is packaged in the Windows 10 x64 environment and has only been tested in this environment. If it cannot be used directly for system environment reasons, you need to install Python2.7.15 x86 version (Confirm that the directory "\Python27" and "\Python27\Scripts" are in the system environment variable path after the installation is completed), then click on "do_setup_by_pip.bat" in the "\RT-Flash\env" directory to install the Python library on which RT-Flash depends. Finally, click "do_pack_by_pyinstaller.bat" to regenerate the RT-Flash.exe. Note2: You must use Python2 x86 version, because RT-Flash uses the pywinusb library, which cannot be packaged by PyInstaller in Python2 x64 version. The pywinusb author has no plan to fix the problem. 1.3 Installation 　　RT-Flash is a pure green free installation tool. After downloading the source code package, double-click "\RT-Flash\bin\RT-Flash.exe" to use it. No additional software is required. 　　Before the RT-Flash.exe graphical interface is displayed, a console window will pop up first. The console will work along with the RT-Flash.exe graphical interface. The console is mainly for the purpose of showing error information of RT-Flash.exe. At present, RT-Flash is still in development stage, and the console will be removed when the RT-Flash is fully validated. 1.4 Interface