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RT-AK Lib provided by RT-Thread defaults to New model name after neural network model conversion, defaults to Neural network model file path, defaults to OS BSP project engineering folder, empty, user-specified log.log The log stores the path, which defaults toĮmpty, and if so, the log file is saved, e.g./log.log Python aitools.py -project= -model= -platform=stm32 -ext_tools= -c_model_name= Run Parameters Specs # Specify the generated c-model name ,-c_model_name defaults to network Python aitools.py -project= -model= -platform=stm32 -ext_tools= -stm_out # Specify the name of the saved folder,-stm_out defaults to the time of day, such as './20210223' Python aitools.py -project= -model= -log=./log.log -platform=stm32 -ext_tools= # Specify to save the run log, -log defaults to empty Python aitools.py -project= -model= -platform=stm32 -ext_tools= # If exited, the work folder generated during running 'stm32ai', i.e. # Save files generated during running the stm32ai thread,- clear defaults to empty Python aitools.py -project= -model= -model_name= -platform=stm32 -ext_tools= # Specify the name of the conversion model,-model_name defaults to network Works done so far, some more additional instructions to supplement are shown following Python aitools.py -project="D:\RT-ThreadStudio\workspace\test" -model="./Models/keras_mnist.h5" -platform=stm32 -ext_tools="D:\Program Files (x86)\stm32ai-windows-5.2.0\windows" -clear ![]() Python aitools.py -project= -model= -platform=stm32 -ext_tools= -clear Run CommandĮnter edge-ai/RTAK/tools path, run aitools.py #How to solve missing adc drivers in android studio ide codeInternal detailed processes please refer to the source code or the readme documentation Execute Step1 Run rt_ai_tools/aitools.pyĬode will automatically use the STM32Cube.AI model conversion tool to obtain a BSP with STM32: X-CUBE-AI unzip path 1.3 ART-PI BSPĬreate ART-PI Project in RT-Thread Studio 2. To D:\Program Files (x86)\stm32ai-windows-5.2.0, so you can get a
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