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Hi, I have a self-trained image classification model with two classes with dynamic range quantization(unquantized model is about 1.5mb and it is 500kb after quantization). And this model takes too much flash and ram after benchmarking. Is there any m...
D:\stm32ai-modelzoo\object_detection\scripts\deployment> python .\deploy.py[INFO] : Successfully connected, starting the model validation on target ...[INFO] : Starting the benchmark on target STM32H747I-DISCO, other available boards ['STM32F469I-DIS...
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