Ask questions and find answers on how to deploy, debug, and optimize AI models on ST microcontrollers, microprocessors, and smart sensors.
Hello ST Community members, Are you a data scientist or machine learning engineer with experience deploying neural networks on edge or embedded devices? The ST team invites you to join a 45-minute remote usability session to provide technical feedb...
hello,Now I'm trying to implement ML library created by NanoEdgeAI Studio to our STM32C0 target board.My anomaly detection ML looks work fine at this time, but I wonder that every time after boot the system I have to learn normal case.For our applica...
Hi guys I have a couple of questions. I've been using the microphones on STWINKT1B to record some events for about a month now. I've utilized both the FP-SNS-DATALOG1 and FP-SNS-DATALOG2 firmware for data logging. While the digital mic (imp34dt05) de...
Hello All, I'm currently working with the STM32 H747-DISCO board, but I'm encountering some difficulties in interfacing both the B-CAMS-OMV Camera Module and the LCD. After flashing the camera module, it successfully captures images, and I've also fl...
Can NanoEdge AI only generate.a static library? If so, how do I use it in keil? This is because keil does not use GCC but ARMCC.
I encountered an error exporting the onnx model using FastestDet's model and importing it into CubeAI. I have seen others with a similar error to mine before, but I did not find a solution. What changes do I need to make to deploy this network on my ...
Board Used: STM32 Nucleo-L476RGWorkflow: I configured the board, added X-CUBE-AI library in Validation mode, added network in .tflite format with TFLM runtime and generated the code using STMCubeMX. Built the project and flashed the firmware with STM...
Hi, I am trying to generate 9-axis quaternion data using the ISPU function of the LSM6DSO16IS.Hardware environment: nucleo-F401RE + IKS01A3 + LSM6DSO16IS.Software environment: cube ide project generated with MEMS-STUDIO. configuratin file inside ISPU...
Hello,I'm sorry that these are in fact many questions but I'm wondering why I can't analyse any of the ONNX models that I've downloaded. I tryied YOLOv8n (12MB), YOLOv6n (18MB), YOLOv5su (36MB), YOLOv4tiny (24MB) and YOLOv2 (62 MB) and none of these ...
I used the simplest data for anomaly detection, but always failed to generate benchmarks. My setup screenshot with the data set is herelook forward to your reply
