Edge AI

I have provided my ONNX model, which has been tested. INTERNAL ERROR: H not found in shape with shape map (BATCH, CH, W)

Good day,  preparing to an online workshop I am trying to install prerequisites. However the component en.stedgeai-stneuralart-10.0.0.zip does not install, STM32CibeIDE says: "This file is either corrupted or not a recognized package.". Regards,Dmitry

Hello @Julian E., I have the same questions as @Anhem (Solved: How to use custom AI model for Stm32n6570? - STMicroelectronics Community) and a additional question regarding the compatibility of X-CUBE-AI version 10.0.0 in STM32CubeMX with the Cortex-M55 processor in the STM32N6. This version explicitly mentions support for Cortex-M7, M4, M0, and M33 cores but does not reference the Cortex-M55. Could this be an issue for development on the STM32N6 ? I have reached the build and flashing stage of my project, but STM32CubeIDE does not recognize my STM32N6 project. Thanks in advance for your help.

Im trying to deploy an audio detection model i trained and developed using yamnet onto the B-U585I-IOT02A board that differentiates between normal and abnormal machine sounds. I am trying to implement the AI on stm32cubeide but dont know how to do it. I saw a freertos guide or something but dont really know how to implement or use it?  

I am getting this error when trying to optimize my tensorflow .tflite sound detection model. Error while generating optimized file. Generation does not contain any output

Hi,I am using STM32G0B1RE with the ISM330IS sensor, I just want to understand the procedure of loading a program into the ISM330IS ISPU memory, after compiling my algorithm I have the SREC binary format,  what should I do next ? from what I understand I need to let the host device to load the program into the ISPU, so I am thinking of copying the SREC data into a buffer then loading the program to the ISPU program RAM, so on every power cycle the host needs to load the ISPU program before starting fetching data is that correct ? 

Hello everyone,I am currently experimenting with X-Cube-AI with a NUCLEO-G474 (because i get some weird errors with NUCLEO-N6 [N6 Post] ). I am trying to run a very simple network with the validation application. I have some Questions which i have not been able to answer myself regarding X-Cube-AI.I first tried to print something to my pc console. I used UART with the function HAL_UART_transmit. This works fine.Then i want to do the same with the X-CUBE-AI package in use. The first thing i see is that syscalls.c is removed from the core folder and moved into X-Cube-AI/app. In  app_x-cube-ai.c in MX_X_CUBE_AI_Process() ->aiValidationProcess() i found the function LC_PRINT which also uses HAL_UART_transmit. But i cant see nothing in my terminal.I am not sure what i did wrong. Can someone help with this proble

Hi, Every time I click on the AI model, my clock tree is forcibly changed, and the external clock is also changed for me.  

Hi @Julian E. , I want to change the Hue, Saturation, and Brightness of the B-Cams OMV camera all at once while running the image classification application code from the Model Zoo. However, when I run my code, only the last value gets captured and reflected on the board. For example, if my code is  void Camera_StartNewFrameAcquisition(AppConfig_TypeDef *App_Config_Ptr) { App_Config_Ptr->new_frame_ready = 0; Camera_Set_HueDegree(App_Config_Ptr->mirror_flip); Camera_Set_Saturation(App_Config_Ptr->mirror_flip); Camera_Set_Brightness(App_Config_Ptr->mirror_flip); /***Resume the camera capture in NOMINAL mode****/ BSP_CAMERA_Resume(0); } Only the Brightness gets changed and not Hue or Saturation. I've made changes to the apps_camera.c only as shown above. I've also included a copy of the version I'm using.  I would real

Hi Supporter:     I attempted to train a model using NanoEdge AI Studio,Some errors occurred!    first,I create a NC-class project (ps:I haven't connected the development board. I'm just using the computer for simulation.)    

Hello everyone,We encountered a problem while setting up our benchmark on NanoEdgeAI.When we want to select the signals, we don't have a "Select All" button.So we have to manually select all the boxes. The problem is that we have over 4,000 signals to select, which is tedious to do by hand.So I'd like to know if there's a way to select everything so we can run the benchmark?Thank you for your help!

Hello,I am currently working on STM32N6570-DK. I want to create static library from files inside of Application layer and then I will create user memory and code section inside of my project. Therefore, users will develop their own graphic and I/O configurations for product.When I created new N6 project, I can not enable static library option. Hence, my questions are:1) Can I use static library inside of N6 project?2) Can I create static library for N6 as other mcu groups?Best Regards,BK

I'm using Nucleo Board N6570X0-Q. 2 Problems:1. the linker file can not automatically store parameters of the ai model to the on board flash?I configured the flash (I think with the right configuration in XSPI2 for the Flash), but the generated ld file doesn't put ai model parameters inside the flash as the examples from the DK board(In DK board they are stored inside the PSRAM). What should I do? or it is all right just to use the default ld file? (my AI model is also rightly analyzed and used the Neutal ART runtime)My ld file looks like this, which doesnt seem to be able to cover all the data of a AI model./*********************************************************************************** @file : STM32N6XX_AXISRAM2_fsbl.ld**** @author : GPM Application Team**** @brief : Linker script for STM32N6XX Device from STM32N6 series** 512 KBytes RAM**** Set heap size, stack size and stack l

Could Anyone please help me with the Example application where MDK-ARM toolchain is used to build the application using ST Neural-ART accelerator™. I have STM32N6570-DK evolution kit and I'm trying to develop a prototype for KWS usecase. We have already used the example project provided for STM32CubeIDE with GCC compiler to get started. But, there are no .IOC file is available to modify the example code to develop other use cases. Also wanted to know, what if I build the application that uses ST-Neural-ART accelerator with MDK-ARM would it be able to take advantage of Arm compilor, or such applications can only build with STM32CubeIDE. If it can be build with MDK-ARM, Please provide the example reference so we can finalize the chip for our production.

I want to perform transfer learning on yamnet model zoo to train the model on mimii dataset to categorize normal and anomalous machine sounds. how do i do that?

Hi, I want to download the demo code which was already in the STM32N6570-DK board when I bought it. But I can't find it anywhere. Kindly help me in this matter.

I have this board with STM32L4R9 and I used CubeMX and Unico-GUI tools to generate a decision tree for MLC in .ucf format. I used a python script to convert this to C uint8_t array as follows:   const uint8_t lsm6dsox_ucf[] = { 0x10, 0x00, 0x11, 0x00, 0x01, 0x80, 0x05, 0x00, 0x17, 0x40, 0x02, 0x11, ... };In the generated main function I use my function to upload this array to MLC: void lsm6dsox_load_ucf_via_spi()

I want to train one of the pretrained AI models (lets say i choose yamnet), on my own data. I want to use mimii dataset which consists of different industrial equipment sound files in .wav format in normal working condition and anomalous working condition. I only want to test on valve type sound so only two classes normal and anomalous sound type are needed. How do i convert the format to esc-50 format as said in the tutorial, i see that there are .csv files as well as .wav files in the esc-50 dataset. 

I have followed the model zoo github tutorial to train, quantize and deploy an Audio Event Detection model. I used the available yamnet-256 and followed the tutorial to the end of deployment. I manage to get successful deployment but when I connect the B-U585I-IOT02A board, and open putty and connect via serial, i get this on putty:Network informations...model name : networkmodel signature : 0x80e2ec0fd41896ad70099555488edefdmodel datetime : 2025-03-12T18:36:47+0800compile datetime : Mar 12 2025 18:37:57runtime version : 10.0.0tools version : 2.0.0complexity : 23932020 MACCc-nodes : 21map_activations : 1[0] (1,1,1,112196)112196/u8 Q8.0 @0x20017480/112196map_weights : 1[0] (1,1,1,139176)139176/u8 Q8.0 @0x80201E0/139176n_inputs/n_outputs : 1/1I[0] (1,64,96,1)6144/i8 1:(0.053046,44), @0x20028180/6144O[0] (1,1,1,10)10/float32 @0x2001748C/40--- Start Processing ---

Hello, ST community members, I am trying to port an onnx model to STM32H743VITx through X-CUBE-AI. When analyzing the network, the following error message appears:"TOOL ERROR: Error in computation of shapes"I don't know if it is because some layers in the network are not supported by the tool, or maybe because my network is two branches and then aggregated, but I can use the same single-branch model to pass the analysis. I uploaded my model structure in the form of a picture, hoping to get your help, thank you!  

Hello. I have made with ST Edge AI Developer Cloud a model and downloaded the whole project for STM32CubeIDE. When I do Validate on desktop it works fine and I get expected results.But Validate on target gives me a compilation error.  Building project Generating project Temporary project loaded Temporary AI configuration done Generating temporary project code Building project C:/ST/STM32CubeIDE_1.16.1/STM32CubeIDE/plugins/com.st.stm32cube.ide.mcu.externaltools.gnu-tools-for-stm32.12.3.rel1.win32_1.0.200.2

I have a LSM6DSO16IS (sensor with ISPU) and I want to upload in it its configuration file (.ucf). I only saw guides which shows how to upload it through MEMS Studio or Unicleo GUI, but I want to upload the .ucf without external tools (like MEMS Studio or Unicleo GUI) and without passing through a ST Nucleo. How can I do it?   Thank you, Christian

Hi everyone,I’m evaluating the LSM6DSV16X for a project and have a couple of questions:1. Temperature Sensor AccuracyI know the built-in temperature sensor is mainly for internal monitoring, but I’m wondering how reliable it is for actual ambient temperature readings. Specifically:How accurate is it in real-world conditions?Does self-heating significantly affect readings, especially at higher ODRs?Has anyone tested it in thermally insulated environments—does it tend to read higher than expected?Any recommendations for calibration or improving accuracy?2. MLC & FSM Learning ResourcesI’d also like to dive deeper into the Machine Learning Core (MLC) and Finite State Machine (FSM) features. I am new to the machine learn

Hi,     I am using STM32N6570-DK kit. I have an example project for image classification, but it is designed for STM32CubeIDE. I want to port this project to Keil ( in order to use the ARM Compiler). Could you please provide the project file so it can be executed on Keil?

I am evaluating AI with the STM32N6570-DK.  I can create a starting project with the new project wizard (cubeMX inside cubeIDE) by targeting that dev kit.  It produces FSBL and APPLI projects that build fine.  When I add in the X-CUBE-AI middleware via the .ioc gui and feed it a ONNX model it seems to work great analyzing the model, showing the graph, then creating code to initialize and run it.  However the resultant project code will not compile (either in FSBL or APPLI, I tried both).  It seems like it is failing to include some HAL and/or LL functions when it generates the code.  The specific errors I get are all "undefined reference to `LL_ATON_..." and undefined reference to "mcu_cache_clean_range" In the middleware I am including X-CUBE-AI v10.0.0 core and application (ApplicationTemplate).  Do I need to include something else for dependencies?  What am I missing here?