Hello,I used the example DCMI_CaptureMode for the STM32F769I-EVAL and the CubeMX generator with CubeAI in order to make an object classifier on board. It worked well with the internal RAM for 28*28*1 pictures but now that I want it to work for 128*12...
I am trying to follow the DM00570145 and validate on target (STM32F746 Discovery Board, XCUBE-AI 6.0.0, toolchain: STM32CUBE IDE), I cannot get the output listed on Figure 61. "Layer by layer results - Validation on target", especially the "ms" runni...
Hello, I have a STM32F746G-DISCO which has a microcontroller with 1 Mbytes of Flash memory and 340 Kbytes of RAM. However, I would need more space for my bigger Keras models. I have seen examples of code in the new function pack FP-AI-VISION1 which ...
Hello,I'm interested on the FP-AI-VISION1 sample but it runs on a STM32H747I-DISCO. I personnally have the STM32F746G-DISCO. Is it possible to build the application for it ? Is there some documentation explaining how to build for another board ?Moreo...
Hi,I am using STM32F769I-DISCO. I want to make a system that can recognize different sounds with an already built AI model.I found a document that has an MCU process.I am new to these things so I hope to get some information about:How to stream data ...
How do I run larger ML models (greater than 10MB)? Is interfacing external ROM with QSPI and memory mapping it alone sufficient?Can I use an SD card instead? Can the memory card be memory mapped to internal flash? Can I paste the weights on the memor...
Hi, I'm working on a project involving using NN with cube ai to track objects from images coming from a camera sensor. I would like to find a way to downsample an image in the fastest / less cpu intensive way possible (the video feed is approximately...
Hello.I run into a following error while building my project using ai: make: *** No rule to make target '/home/user/git/stm32/Drivers/CMSIS/DSP/Source/SupportFunctions/arm_copy_q15.c', needed by 'Drivers/CMSIS/DSP/Source/SupportFunctions/arm_copy_q1...
Hello, I am doing a project where I will be implementing a trained neural network (trained with Keras) onto a STM32F746-DISCOVERY board with X-Cube AI. The goal is to train the network to recognize audio samples converted into spectrograms. This wou...
Hi all.I'm trying to experiment with the stm32f7 discovery board and the MNIST dataset. I've trained the model and everything seems to be working fine and I'm running the validation app from the cubemx on the stm32.My problem is that I haven't found ...