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,I am trying to run an Edge Impulse machine learning model for audio detection using STM's IMP34DT05TR microphone and the STM32G473VET6 microcontroller.I have imported the Edge Impulse C++ library, but I am encountering issues during inference s...
Hi, I have trained an .onnx model, using only conv1d, conv1dtrans and relu layers. But when I put it in the ST Edge AI Developer Cloud, the it has TOOL ERROR: tuple index out of range. The model structure is shown below, and please find the .onnx fil...
Hello,I am currently working on validating a machine learning model that I have deployed on an STM32 microcontroller. While the model successfully runs on the STM32, the results it produces differ significantly from those obtained when running the m...
Bonjour, Je rencontre une erreur lors de la génération de la bibliothèque pour mon modèle de réseau de neurones dans X-CUBE-AI. L'erreur est la suivante : E103(CliRuntimeError): Unable to generate the "libai_network_1" library J'ai suivi les étapes s...
Hello there,I have STM32H747I-DISCO and ov5640. Can i use ov5640 for model-zoo ? If yes what changes are required ? I'm following repo : https://github.com/STMicroelectronics/stm32ai-modelzoo/tree/mainI have already installed the "requirement.txt"How...
Hi, We put our network onnx into X-Cube-AI but it is not pass the test. it shows the following error message: Analyzing model.:/Users/DELL/STM32Cube/Repository/Packs/STMicroelectronics/x-CuBE-Al/9.0. 0/Utilities/windows/stedgeai.exe analyze -target s...
I have written my neural network code and converted it into C language code using STM32CubeMX AI tool. I copied the generated three source code (Network. c, network_data.c and Network_data_ams.c) and the relevant header files into my original project...
I create a model in ONNX (in attach file)I am unable to "Analyse" the model in X-Cube-AI Ver 5.1.2. All I get is an "INTERNAL ERROR: tuple index out of range" message
How to do benchmarking of YOLO model on stm32 platforms. Ritesh
