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...
I'm trying to use the benchmarking tool in the developer cloud (https://stm32ai-cs.st.com).I have a model exported in several formats (fp32, fp16, full 8 bit, etc.)The input shape is (1, 128, 384, 3).The model works fine and other tools like Edge Imp...
STM32H747I-EVAL Could conectar a some kind of camera to use FP-AI-VISION1_V3.1.0? I don't see the conector to B-CAMS-OMV
When using the STM32Cube.AI online tool to benchmark chips for running a neural net the max file size is limited to 32MiB. I have a models that is 93MiB, is there a way to run a model this size? What is the reason for the size limit? Is it related to...
Sorry if this question is basic, but I was not able to find an answer in the documentation. I have a very simple Keras model with one input and one output, for your reference the architecture is:model = tf.keras.Sequential()model.add(tf.keras.layers....
The approach described on the official XCUBE-AI documentation is not working for my case.
Dear Sir/Madam, I am getting an error "Analyze fail on the AI model" when I analyze a network using "STM32Cube.AI runtime" (see the snapshot below). I just train a simple AI model (https://colab.research.google.com/drive/1HBsuTW2gGAoPgWnkpwXiXI7JHXR0...
Hi,I am using the X-Cube-AI expansion pack in STM32Cube IDE and wanted to add an ONNX model. After selecting the model and pressing Analyze, I get the error: "TOOL ERROR: Applying softmax on single element".The model I am trying to use is a neural ne...
Hello!I'm getting the error: INTERNAL ERROR: list index out of range when uploading an onnx model to STM32Cube.AI and run analysis. I have validated my model with other tools like netron.app and it is correct. I would appreciate if anyone could help ...
