Ask questions and find answers on how to deploy, debug, and optimize AI models on ST microcontrollers, microprocessors, and smart sensors.
I need to tune PID coefficients for a set of motor controllers. I’d like to use NanoEdge AI studio, but I’m not sure it supports what I need. The input to the model is to be a set of four error values and the output is a set of coefficients. NanoEdg...
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
