CubeAI求教 发表于 2021-10-24 21:33 file:///C:/Users/<用户名>/STM32Cube/Repository/Packs/STMicroelectronics/X-CUBE-AI/7.0.0/Documentation/embedded_client_api.html cube.ai 5.1.2跟7.0.0其实网络的运行函数是一样的 7.0.0的版本运行函数抄这个文档的函数就行 https://shequ.stmicroelectronics.cn/data/attachment/forum/202110/27/151005wbx6qkelmq9manm2.png 当然，还需要先初始化 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这两个函数都在文档里，直接抄就行了
file:///C:/Users/<用户名>/STM32Cube/Repository/Packs/STMicroelectronics/X-CUBE-AI/7.0.0/Documentation/embedded_client_api.html cube.ai 5.1.2跟7.0.0其实网络的运行函数是一样的 7.0.0的版本运行函数抄这个文档的函数就行 https://shequ.stmicroelectronics.cn/data/attachment/forum/202110/27/151005wbx6qkelmq9manm2.png 当然，还需要先初始化 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这两个函数都在文档里，直接抄就行了
