https://github.com/espressif/tflite-micro-esp-examples Overview This library runs TensorFlow machine learning models on microcontrollers, allowing you to build AI/ML applications powered by deep learning and neural networks. With the included examples, you can recognize speech, detect people using a...
8月 28 日,TensorFlow 在官方博客中宣布 TensorFlow Lite Micro 支持在乐鑫 ESP32 上运行。 以下为博客原文: 如今,ESP32 被广泛应用于智能家居和无线连接设备及项目中,它能连接各种传感器和执行器,从而感知环境并做出相应动作。在 ESP32 上运行 TensorFlow Lite Micro 时,会出现由本地推断所触发的各种用例场景。ES...
cd tensorflow/lite/micro/tools/make/gen/esp_xtensa-esp32/prj/doorbell_camera/esp-idf b. 使用以下命令克隆 esp32-camera 组件: $ git clone https://github.com/espressif/esp32-camera components/esp32-camera c. 配置摄像头和电子邮件地址: idf.py menuconfig d. 进入Camera Pins 配置 和SMTP 设置菜单...
sudo make -f tensorflow/lite/experimental/micro/tools/make/Makefile TARGET=esp generate_hello_world_esp_project 1. 这将生成一个示例项目,该项目将位于: tensorflow/lite/experimental/micro/tools/make/gen/esp_xtensa-esp32/prj/hello_world 1. 导航到hello_world/esp-idf目录,并将tfmicro文件夹从component...
7. **转换模型为适用于ESP32的格式**：使用TensorFlow Lite Converter将模型转换为适用于ESP32的格式。
I am encountering an error when running two TensorFlow Lite models on my ESP32C3. Below are the details of the error, the models, and the conversion code used. Arduino code:https://drive.google.com/file/d/15as7adLykxOzsaAxV6l9UTe_EHS_WqXw/view?usp=sharing ...
5、存取示例项目目录:cd tensorflow/lite/micro/tools/make/gen/esp_xtensa-esp32/prj/doorbell_camera/esp-idf。 6、通过下面的命令克隆乐鑫一级代理商ESP32摄像机组件:$ git clone https://github.com/espressif/esp32-camera components/esp32-camera。 7、将照相机和邮箱地址配置为:idf.py menuconfig。 8、...
TensorFlow Lite 使用ESP-IDF 1. 搭建 ESP-IDF 开发环境 2. 克隆 TensorFlow 3. 生成 hello_world 示例项目 4. 部署到 ESP32 使用PlatformIO 平台 1. 安装 TensorFlow Lite 环境(PlatformIO) 2. 新建 PlatformIO 项目 3. 生成 hello_world 示例项目 ...
By the way, you can now build and run TFLite micro examples on ESP32. https://github.com/tensorflow/tensorflo ... y-to-esp32bkgoodman Posts: 45 Joined: Fri Feb 17, 2017 12:41 pm Re: Tensorflow support? by bkgoodman » Mon Aug 16, 2021 2:56 pm Is there any example ...
Because machine learning (especially neural networks and deep learning) is computationally expensive, TensorFlow Lite for Microcontrollers requires you to use a 32-bit processor, such as an ARM Cortex-M or ESP32. Also note that the library is (mostly) written in C++, so you w...