Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support
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Updated
Mar 6, 2020 - C
Mobilenet v1 trained on Imagenet for STM32 using extended CMSIS-NN with INT-Q quantization support
This repository containts the pytorch scripts to train mixed-precision networks for microcontroller deployment, based on the memory contraints of the target device.
INT-Q Extension of the CMSIS-NN library for ARM Cortex-M target
This repository covers a famous online course on Udemy mentioned above. I learned different peripherals with code exercices related with PWM, CAN, and Low-power Mode MCUs.
Hardware Abstraction Layer for Atmosic SoCs in the Zephyr Environment
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