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Hi,I'm currently encountering an issue with USB CDC on the STM32F466: the device is not being recognized as a USB CDC device.I'm using the USB_OTG_FS peripheral, with the USB_DEVICE middleware configured as CDC. However, in the Parameter Settings for USB_OTG_FS, I don't see an option for Internal PHY.I then tried using USB_OTG_HS with Internal FS PHY instead, and in that configuration, the Internal PHY option is available in the parameter settings.So I'd like to confirm the following:Is the Internal PHY option only available when using Internal FS PHY (i.e., only through USB_OTG_HS configured for FS mode), and not available for USB_OTG_FS directly?If I need to use CDC with USB_OTG_FS, do I need to add external pull-up resistors (since there's no internal PHY option to handle this automatically)?Thanks in advance for your help.

Hello,I’m using an Karo SOM module (MP257) on a custom board with SFP module.The SFP module is powered with the main 3.3V regulator. It has a TX_DISABLE input (0=ON, 1=OFF). This input :Is TTL Has an internal pull-up R (around 10k) Has an external pull-down R (10k) In connected to PE2This makes a voltage divider : without driving the TX_DISABLE line, the voltage is something like 3.3V / 2 (1.8V to be precise)Some simple tests to confirm that :SFP module unplugged => voltage is driven only by the pull down R => 0V A source meter on the TX_DISABLE confirms the presence and value of the internal RPU. Now let’s play with the MP2. Is this processor able to blink a led ? Don’t laugh, nothing could be further from the truth. After linux boot : gpioinfo shows PE2 is input. It should logically be driven by the driver, but for an obscure reason, this is not the case. At least we can do things manually… Set it to 0 ?gpioset -b disabled -d push-pull PE2=0=> Voltage is still 1.8V Ok, bad.

Hello,I am integrating the VD5943 image sensor with a Lattice FPGA acting as a MIPI CSI-2 receiver.I have reviewed both the VD5943 Datasheet (DS14968) and the Reference Manual (RM0532), but I could not find any information about the operating mode of the MIPI CSI-2 clock lane.Could someone from ST please clarify the following?Does the VD5943 transmit the MIPI CSI-2 clock in Continuous Clock mode or Non-Continuous Clock mode? If this behavior is configurable, which register controls it? If it is fixed, which mode is implemented by default?This information is important to ensure compatibility with our FPGA CSI-2 receiver and downstream processing.Thank you for your support.

Hi ST team,I am working with an STM32MP257 where Linux runs on the Cortex-A35 and a FreeRTOS application runs on the Cortex-M33. The M33 firmware is loaded and started by Linux using remoteproc.The application is running correctly, but I would like to understand the recommended workflow for debugging the M33 application.I have read the "Debug support" section of RM0457 and understand that the M33 can be accessed through the shared SWD/JTAG interface by selecting the appropriate Access Port. However, I'm still not clear on the recommended debug workflow when the M33 is managed by remoteproc.My questions are:Can STM32CubeIDE/ST-LINK attach to an already running M33 started by remoteproc, or should the M33 be stopped first? If Linux has already loaded the firmware, should the debugger load only the ELF symbols instead of downloading the application again? Is there any special OpenOCD/ST-LINK or CubeIDE configuration required for this use case? Is there an ST application note or example de

Dear STM Support Team,I am working on a custom hardware platform based on the STM32N6570-DK.We have replaced the default MX66UW1G45G Octal SPI NOR Flash on the evaluation board with an Infineon S25FS512S Quad SPI NOR Flash. Since the default external loader is designed for the Macronix Octal flash, STM32CubeProgrammer is unable to program the new flash device.We would like to develop a custom External Loader (.stldr) for the S25FS512S. However, we are unable to find the source code or documentation specific to the STM32N6570-DK external loader.Could you please clarify the following?Is the source code for the STM32N6570-DK External Loader (MX66UW1G45G_STM32N6570-DK.stldr) publicly available? If yes, where can it be obtained? Is there any application note or documentation describing the API and project structure required to develop an External Loader for the STM32N6 series? Are there any reference projects or examples for creating a custom .stldr for STM32N6 devices? If the source is not

Hello,In the reference schematic of the STM32MP157F-DK2, the HSE clock is generated using the NDK NZ2016SH 24 MHz END4869F oscillator. However, this part is not readily available, and we are therefore looking for a suitable alternative.Could you please confirm whether the Abracon’s part ASE-24.000MHZ-LR-T can be used as a replacement to provide the HSE clock for the STM32MP157FAC1 device ? If this part is not recommended, kindly suggest a suitable alternative that is compatible with the STM32MP157FAC1.Regards

Hello,We are designing a custom board using the STM32MP157FAC1 device. In our design, we are not using the DSI interface or the ADC peripheral.We would like your guidance on the recommended handling of the corresponding unused pins.(1.) DSI Interface:Since the DSI interface is not used, how should the following differential signals be terminated ?(a.) DSI_CKP / DSI_CKN(b.) DSI_D0P / DSI_D0N(c.) DSI_D1P / DSI_D1N(2.) Analog Inputs:As the ADC is not being used, what is the recommended way to connect or terminate the ANA0 and ANA1 pins ?Could you please advise the recommended hardware implementation for these unused pins?Regards,

I’m using VSC with the STM32 extensions.When running debug sessions at leat 50% of the time I get this error message:Error in initializing ST-LINK device.Reason: USB communication error. Please reconnect the ST-LINK USB cable and try again.cube has exited with code 3 I have a good quality USB lead and I’m running on macOS on a Mac Mini M2

Hello,I am using the STM32G031F4P6 (TSSOP20) and have a question regarding the PA11[PA9] and PA12[PA10] remapping.According to RM0444, PA11_RMP and PA12_RMP remap PA11→PA9 and PA12→PA10. However, in STM32CubeMX, the shared pins PA11[PA9] and PA12[PA10] only expose the Alternate Functions of PA11/PA12 (e.g., USART1_CTS, USART1_RTS/DE/CK), and USART1_TX/RX are not available.Could you please clarify:Is this a limitation of STM32CubeMX? Or is it not possible to use the PA9/PA10 Alternate Functions (e.g., USART1_TX/RX) on the physical PA11/PA12 pins after enabling PA11_RMP/PA12_RMP?If it is supported in hardware, what is the recommended way to configure it?Thank you.

hi all, I am trying to flash + run a relocatable / runtime loadable model. The problem is that the inference results are wrong (they never change, no matter what the buffer contains when I start the inference). If I use the stai_model files from the AI Cube Studio, the model works correctly, but is not relocatable… Am aware of matching the address where I flash the network_rel.bin and generating the model. (← see URL) I am using these docs. (← see URL) I am enabling all AXISRAM3...6 I generate the model as follows:stedgeai.exe generate -m "path/to/model.tflite" --input-data-type uint8 --no-inputs-allocation --no-outputs-allocation --target stm32n6 --st-neural-art --reloc# final output something like this:+--------------------------+-------------------------------+------+------------+--------+| name (addr) | flags | foff | dst | size |+--------------------------+-------------------------------+------+------------+--------+| xSPI2 (0x20009332

I’m trying to convert an ONNX model which has a Conv layer that takes weights as input (has 2 inputs). Edge AI gives me:NOT IMPLEMENTED: Convolution with multiple not constant inputs not supportedAre there any short-term plans to support such layers in ST Edge AI?I also tried to change the name of the layer to some custom name (DynConv). The error in ST Edge AI changed to:NOT IMPLEMENTED: Unsupported layer types: DynConvI thought that I could bypass this error by using --custom with a JSON definition, but the JSON format is poorly documented. Also, many attempts at different formats seem to indicate that --custom only works for Keras. Is this correct?

Hi ST Community,I am working on the STM32N6570-DK board and need guidance on running two AI models together in a single pipeline:YOLO-FastestV2 for object detection (this is my custom train model) MediaPipe Face Landmark for facial landmark detectionMy GoalI want to:Run YOLO-FastestV2 to detect objects/faces from camera input Then run MediaPipe Face Landmark on detected face regions (ROI) Process both models efficiently on STM32N6570-DK Display final output with bounding boxes + face landmarksCurrent StatusI can run object detection examples on STM32N6570-DK. I have AI models available in ONNX/TFLite format. I am exploring deployment using STM32Cube.AI / ST AI tools. I am not sure about the best architecture for running both models together.QuestionsI need help with the following:Is it possible to run two AI models in parallel on STM32N6570-DK? What is the recommended pipeline? Camera → YOLO-FastestV2 → ROI extraction → Face Landmark → Display Output Should both models be merged into

Hi ST Community,I need help regarding a version mismatch issue while deploying my AI model on STM32N6570-DK.Current EnvironmentI am currently using:ST Edge AI Core: v2.2.0-20266 (2adc00962) STM32Cube.AI: 10.2.0-RC1ProblemWhen I convert/generate my model using the current tools, the generated model version becomes:Generated model version: 1.1.3dev14But my board/application runtime is using:Runtime version: 1.1.3dev8Because of this version mismatch, I am unable to run the model properly.My UnderstandingI think I currently have two possible options:Option 1Install an older ST Edge AI version / STM32CubeAI version that generates a model compatible with:1.1.3dev8Option 2Upgrade my runtime/environment on the board so that runtime version becomes:1.1.3dev14QuestionsI need guidance on the following:Which option is recommended by ST? Where can I find the correct ST Edge AI / STM32CubeAI version that generates models for runtime 1.1.3dev8? How can I upgrade the runtime on STM32N6570-DK from 1.1.

I am working on STM32N6570-DK. If I want to deploy random forest model on this MCU, what is the procedure. As most of the time I was using STM32 Cube AI studio to generate IDE project and work on it . But , AI studio doesn’t support tree based models. So, what is the standard procedure for deploying random forest or tree based models on this MCU for real time detection ?  Kindly guideThanks & RegardsChanchal 

Trained Yolov8n on the coco text dataset, trying to import into STCube AI Studio and receive the following error message.Run failed: Error: analyze error: INTERNAL ERROR: 0 vs. 11. Please check the report for more details. Output: ST Edge AI Core v4.0.0-20500 359356bb0 

Hello, I am working on a visual inertial odometry system. It basically contains a camera, a vision processing unit and an IMU. For vision processing part I was thinking of the STM32N6. Can you elaborate on the performance of the ST Neural-ART processsor? Can you elaborate on the inference time? How many images per second can it process?

Hi everyone,I'm deploying a model on the NUCLEO‑H563ZI using NanoEdge AI Studio (v5.2.0). My full training dataset is about 2 GB, and I cannot downsample or reduce features – I must use the complete dataset.My PC specs:- CPU: 12th Gen Intel i7‑12700 @ 2.10 GHz (16 cores total)- RAM: 32 GB (31.7 GB usable)- Storage: 1.82 TB HDD (mechanical drive, WDC WD20EZBX‑00AYRA0)- OS: Windows 64‑bit- Cores allocated to benchmark: 16 (all available)In a previous test with only 40 MB of data, the benchmark took 40 hours on this same machine. If time scaled linearly, 2 GB would take ~2000 hours – impossible for our schedule.Since I cannot change the dataset itself, I'm looking for practical ways to reduce benchmark time through external measures. Specifically, I would like to know:1. Storage bottleneck – My dataset resides on an HDD. Would moving the entire NEAI workspace and dataset to a fast NVMe SSD (or even a RAM disk) dramatically cut the time? Does NEAI repeatedly read from disk during benchmark

  I am using STM32F411CEU6 Black Pill from WeAct. Stlink was working I was able to flash the code but now after testing when I tried to connect it wouldn't connect I keep getting this error. I am using stlink clone.  USB under DFU mode gets connected, full chip erase works but when I try to flash the code I get this error      Please help me out

I am working on STM32G474RE Nucleo board.  Imported an example into ICE/IDE, compiled, linked, downloaded and ran. Just used MX to build my application based on the Nucleo board.  Compiled and linked.  Execute debug session and received this error, see attached.  I checked “Debug Configuration” and see nothing unusual. What has changed?  How I fix this problem?   

We have recently designed and implemented a PCB with TS4436 IC. And we are using this IC as a comparator in our application.While testing, we have observed that the IC taking near 40mA as supply current during OUT enable time (for FB input > 0.6V). But as per datasheet it won't take more than 4mA. We request you to go through the issue and share the resolution asap.  Sharing our application schematic for reference.  

I have the nucleo board connected to the STLINK-V3PWR via JP2 and ground connections. Flashed onto the device I have a mioty evaluation stack from LZE. I am taking readings of the current drawn and getting a consistent value of 3mA. I was trying to evaluate the deepstop current so wanted to know if the fact is that I have got my measurements/ connections wrong or that the firmware is preventing me from entering the mode. 

STM32H7 series MCU package version: V1.13.0SPI4 clock is selected as PCLK2, but in the actual generated project, the SPI4 initialization function incorrectly sets RCC_SPI45CLKSOURCE_D2PCLK1 instead. The clock tree diagram and code snippet are shown below.

STM32CubeIDE 1.19.0STM32C092GCU7 with 256kb flash, 128 pages with 2kb size I have 106,25KB of code. If I shift the start adress from 0x8000000 to 0x800A000 (to reserve space for future bootloader) CubeIDE cuts of the code to 88KB and only erases the pages till page 63 (Code would use now space in the second part of flash). Length in linker file is sufficient.If I take the generated .elf file and program it by STM32CubeProgrammer, everything goes well. But this is only a part solution for me, because I want to have the possibility to debug in CubeIDE. Start adress 0x8000000ST-LINK SN : 57FF6F067186535436441487ST-LINK FW : V2J46S7Board : --Voltage : 3.22VSWD freq : 4000 KHzConnect mode: Under ResetReset mode : Hardware resetDevice ID : 0x44DRevision ID : Rev ADevice name : STM32C09xFlash size : 256 KBytesDevice type : MCUDevice CPU : Cortex-M0+BL Version : 0x121Opening and parsing file: ST-LINK_GDB_server_a12268.srecMemory Programming ... File : ST-LINK_GDB

 Hello ST Community,I am considering using the High-Resolution Timer (HRTIM) on the STM32G4 series (specifically STM32G4x4 / G474) and would like to ask a few technical questions regarding its Input Capture functionality:1. Is my understanding correct that the 184 ps high-resolution feature applies mainly to PWM generation (using DLL), while the Input Capture function operates at the base HRTIM clock frequency (up to 170 MHz, giving ~5.88 ns resolution)?2. Is it possible to capture the timer counter values using the HRTIM capture units (CPT1 / CPT2) triggered by External Events (EEV) or internal signals (such as comparator outputs)?3. If Q2 is yes, does capturing via internal signals (e.g., comparator) yield the same measurement resolution (~5.88 ns based on 170 MHz) as capturing via external pins?Any clarification would be greatly appreciated. Thank you in advance!

 I am an STM32 developer.I recently started studying AI, but unfortunately, I discovered that there is no version of STM32Cube AI Studio for Mac. The same applies to Edge AI Studio. Are there any plans to release a version for Mac?