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Error output when trying to quantize CNN2d_ST_HandPosture_8classes_hand_posture_ST_VL53L8CX_handposture_dataset.h5 in STM Edge AI Developer Cloud. For example, the error "Could not find cuda drivers on your machine, GPU will not be used." Why do I ne...
Hi, I am implementing the new STM32 project in that I am initialized Display and camera interfaceLTDC interface enabled turning on the backlight by making PQ6 pin high and in TouchGFX created a project selected STM32N6570-DK board while run the targe...
Hello, I'm trying to generate C code for my Onnx model using ST Edge AI Core.I've tried both X-CUBE-AI and ST Edge AI Developer Cloud, and they gave me the same error:It's strange that Netron could still draw the correct graph containing the dimensio...
Hi, With the new 2.2 STEdgeAI update I have done some neural network model validations on the CM55 of the nucleo-n657x0-q board. I have also used the STLink-v3pwr to measure the power consumption while validating. What I wonder is if there is some ...
Hello Everyone I am trying to evaluate and demonstrate the ISM330IS ISPU with STM32F40RE Using nano edge AI. I am following this tutorial to move step by step https://github.com/STMicroelectronics/st-mems-ispu/tree/master/tutorials/nanoedge_ai . ...
Hello,I am trying to transform the object detection project that can be found in ST model zoo services from bare-metal to FreeRTOS using STM32N6570-DK board.Following https://community.st.com/t5/stm32-mcus/how-to-use-freertos-with-stm32n6/ta-p/805334...
Hi,I've been using ST Edge AI Dev Cloud to benchmark my human activity recognition models on some ST platforms and I would like to do the same for the STM32N6570-DK but it only accepts quantized models and the quantization option throws and error:Exe...
Hello, im trying to convert a .tflite model (encoder-decoder model, with only supported layers by stedgeai) to C-code to use it in my STM32CubeIde project.When using the command:/opt/ST/STEdgeAI/2.1/Utilities/linux/stedgeai generate --model model.tfl...
@Julian E.I’m porting the X‑CUBE‑AI v10.0.0 “hello_world” application, originally for the STM32N6570‑DK (path: X‑CUBE‑AI\10.0.0\Projects\STM32N6570‑DK\Applications\hello_world), to the NUCLEO-N657X0-Q board with the use of lwIP to receive the images ...
Dear ST,i convert my tflite of yolov8n without nms to neural-art related files in STM32N6 using stedgeai cli command as belowafter that, i have to apply it to cubeISE which import NUCLEO-N657X0-Q object detection example.i have a below question to be...
