The free online platform (formerly named STM32Cube.AI Developer Cloud) now supports MPUs and smart sensors in addition to MCUs. It also supports AI hardware acceleration (NPU) on compatible devices. Leveraging the ST Edge AI Core technology, the to...
or any hardware at all ? like stm32l4 dev board ?
Hi all,I would like to ask if there is a suggested procedure to move the network weights, the one generated inside network_data.h, to external memory-mapped QSPI FLASH. I've already moved both input/output data and activation to external SRAM, but I'...
Hi,I have selected the right target board in NanoedgeAI studio and compiled the library and header files to be included in the STM32CubeIDE project. I am also using the right board: STWINKT1B. Project builds and debugs successfully, but every call fr...
I am looking for a development board that can run a deep learning model with a CSI interfaced CMOS camera.I think if chips can support DCMI(digital camera interface), it means it is available for CSI interfaced CMOS cameras. I hope my idea is right. ...
/* USER CODE BEGIN PV */ static ai_buffer *ai_input; static ai_buffer *ai_output; /* USER CODE END PV */ int main(void){ ... // Chunk of memory used to hold the intermediate values for neural network AI_ALIGNED(32) ai_u32 activations[AI_NETWORK_D...
Is it needed to do the learning on every device? Or can the library be used on all devices of the same class?
I experienced NEAI Studio license activation issues, can you please help ?
I am using your NanoEdge AI Studio Software for classification and I am looking at the FFTs displayed in the signals segment after collecting data.How, specifically are these FFTs generated from the raw data ? Also, what the units on the axis are as ...
I am trying out a code example from Nano Edge AI studio and want to download and run that on the STWINKIT1B. I figured one way would be to use the HSDatalog example and add a serial port to it on the STM32CubeIDE but something simpler would be fine ...