STM32F746是一款高性能的微控制器,而TensorFlow Lite则是一种轻量级的深度学习框架,专门用于在嵌入式设备上运行。在STM32F746上使用TensorFlow Lite进行MNIST图像识别任务,首先需要将MNIST数据集转换为适合微控制器处理的格式,然后通过TensorFlow Lite的模型优化和压缩技术,将模型部署到STM32F746上。 在训练阶段,可以使用...
STM32F429-TFLite-Micro-MNIST项目是利用STM32F429系列微控制器与TensorFlow Lite的轻量模型相结合,实现基于Mnist手写数字数据库的识别。它将STM32F429的计算能力与TensorFlow的神经网络模型相结合,首先,训练一个轻量级模型(如MobileNet或量子化模型)以识别MNIST数据集中的一位到十位数字。然后,该模型被导入到微控制...
esp32 esp esp-idf tflite-micro esp32-s3 esp-nn Updated Sep 23, 2024 C++ yth98 / tflm-cmsisnn-mbed-image-recognition Star 0 Code Issues Pull requests Image Recognition on STM32 Microcontrollers (Advanced Integrated Circuit Design, Fall 2022, NTU GIEE) mbed-os cifar-10 mobilenetv3-smal...
git clone https://github.com/PhilippvK/stm32-tflm-demos You need to also pull the sub-repos where the actual examples are stored. git submodule update --init --recursive Then switch into the folder where the example you want to deploy is stored. Do not worry about therecursiveargument, ...
Remove STM32F4 and test CMSIS_NN kernels with bluepill. (tensorflow#1861) advaitjaincommittedMar 30, 2023 ffd7d16 Increase the flash and RAM for bluepill. (tensorflow#1859) advaitjaincommittedMar 30, 2023 e0abfca Commits on Mar 28, 2023 Delete install_bazel.sh now that the workflows...
Project collection for Raspberry Pi Pico with TensorFlow Micro. raspberry-pi-pico tflite-micro Updated Jan 7, 2024 C fjpolo / STM32F407TinyML Star 23 Code Issues Pull requests TinyML for STM32F407 using different frameworks in C and C++ with Keil uVision IDE. c cpp tensorflow stm32...