We use GitHub issues for tracking requests and bugs, please see TensorFlow Forum for general questions and discussion, and please direct specific questions to Stack Overflow. The TensorFlow project strives to a
此仓库是为了提升国内下载速度的镜像仓库,每日同步一次。 原始仓库:https://github.com/tensorflow/tensorflow/tree/master/tensorflow/contrib/lite master 克隆/下载 git config --global user.name userName git config --global user.email userEmail 分支210 ...
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为了编译TensorFlow的源代码,除了要有gcc(版本不低于4.8)支持之外,还需要安装Google自产的编译构建工具,类似于cmake。英文阅读理解能力强的朋友可以直接阅读官方文档:https://www.tensorflow.org/install/source 1.tensorflow下载 git clone https://github.com/tensorflow/tensorflow #下载tensorflow git branch -a #查看...
简介:GitHub上用于微控制器的TensorFlow Lite 这是TensorFlow Lite的实验端口,针对微控制器和其他只有千字节内存的设备。它不需要任何操作系统支持,任何标准的C或C ++库或动态内存分配,因此它的设计甚至可以移植到“裸机”系统。核心运行时在Cortex M3上适合16KB,并且有足够的运算符来运行语音关键字检测模型,总共占用22K...
TFLite是Tensorflow的子模块,源码也放在Tensorflow当中,可以直接从Github上下载。Git使用如下命令克隆到本地: git clone <https://github.com/tensorflow/tensorflow.git> github上的源码 程序编译 Tensorflow的编译不是一件简单的事情,本人踩了很多坑,这里记录一下编译过程,避免后人踩坑。 Tensorflow提供了CMake和Bazel...
Another promising lead is optimized kernels for dynamically quantized models, see the conversation with developer here:https://github.com/tensorflow/tensorflow/pull/48751#issuecomment-869111116 The developer claims 3-4x latency improvement, but currently it is only limited to very specific set of models...
go get github.com/mattn/go-tflite go get github.com/nfnt/resize 二、识别流程概览 加载验证码图像并预处理 加载TFLite 模型 调用模型进行预测 解码预测输出为字符 三、Go 代码实现 加载图像为张量输入 func preprocessImage(path string) ([]float32, error) { ...
gitclonehttps://github.com/tensorflow/tensorflow.git tensorflow_src 2:找个放tf lite 项目的目录,比如,路径叫 lite 然后启动 vs2022 的命令行工具 x64 Native Tools Command Prompt for VS 2022 当然了,用x86版本的也可以,看需求 3:在 vs2022 命令行下,进入lite 目录, ...
1. 在GitHub上下载所需的models文件,地址:https:///tensorflow/models。 2. 安装pillow、lxml。Jupyter Notebook和matplotlib这两个我就不说了,肯定早就装好了。 pip install pillow pip install lxml 1. 2. 3. 编译protobuf,object detection API是使用protobuf来训练模型和配置参数,所以得先编译protobuf,下载...