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When the cubeai tool is used to analyze the model, the unquantized model can be analyzed normally, but the static quantization analysis can make mistakes. I use the onnx model. The following is my quantified model. I hope someone can help me.
Hi,I am trying to simulate the behavior of different STM32 MCUs to see which unit meets my expectations for an object detection task.I was wondering if there is a way to simulate their behavior on object detection problems with tflite model + validat...
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...
