Ask questions and find answers on how to deploy, debug, and optimize AI models on ST microcontrollers, microprocessors, and smart sensors.
hello,I followed this tutorial 'How to use transfer learning to perform image classification on STM32.' During the project deployment step, when I build, I encounter these errors (Description Resource Path Location Type 'ai_layer_conv2d' {aka 'struct...
I am trying to use the raw data from the 3-axis digital magnetic sensor (IIS2MDC) to get a compass heading, but cannot get it to work.With the STWINBX1 flat on a table, I slowly rotated it 360 degrees starting from north.I then exported the data and ...
I am using the STEVAL-STWINBX1 development board with the FP-SNS-DATALOG2 software.I would like to configure an external interrupt for a digital input, but it appears all 15 external interrupts are being used ?On the schematic, there is a table which...
Hi,I have just opened my new STEVAL-PROTEUS1 evaluation kit for my project. I tried to connect it with the STBLE sensor app, but I realized that it does not appear on the Bluetooth search. Then I tried my STEVAL-STWINKT1B sensor kit, and it connected...
Hello, I would like to know if I can use FP-AI-Vision to design my own application, for example, to detect trees in a yard. Or is it designed only for the three applications: food recognition, person presence detection, and people counting?
I want to call an AI model in the main.c to show the result of the prediction in a serial monitor, but I can't find out what functions in the X-CUBE-AI folder to use and how to use them.
I want to extract accuracy via "Cubeai". I can give multiple inputs and observe the results, but I cannot determine accuracy. What should the "Validation outputs" file look like? What should it contain and how should it be organized?
My use case is about computer vision (yolo model preferably) and how to monitor its inference in order to have an idea of its carbon footprint when running on the chip. I heard that stm32-zoo has a yolo model available, so it is possible to use it on...
Hello everyone,I'm working on an N classification project using the NanoEdge AI library on an STM32 microcontroller. My databases contain data on diabetes (diabetic or non-diabetic) with 8 different parameters.Objective: I want to integrate the deplo...
I have created my own cnn model and want to run it on STMH753ZI board using X-CUBE-AI. I have executed all the steps to run the inference. The inference is also running but the output is always 0. With my fixed input of sample shape (1,50,12). I cann...
