E200(ValidationError): stm32: Unable to bind the STM AI runtime with "network" c-model: [] connection to "serial:115200"/"115200" run-time fails E801(HwIOError): Invalid firmware - COM4:115200I have already tried the following:Using CubeMX and IAR ...
We have created an LSTM model using Keras, and decreased its size to use it on our STM32F746G-Disco board. Our model can actually process dynamic size records. This means that, we do not need fix the size of the record. We could realize it on Google ...
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?