-Forest- 发表于 2020-5-20 20:46:22

rk3399ubuntu18.04，MNN移动端深度学习框架搭建

本帖最后由 -Forest- 于 2020-5-20 21:36 编辑

上一篇rk3399ubuntu18.04 pytorch环境搭建，可是pytorch在3399上实在太慢了，单位：秒，最小的mobilenetv3-small都得4秒多，只能体验下这个过程，移动端还是得需要进行优化，而瑞芯微自家的rknn主推rk3399pro了，选个移动端的框架很有必要了，bat三家都推出了移动端的框架，这次先来安装阿里的MNN:一：MNN简介MNN是一个轻量级的深度神经网络推理引擎，在端侧加载深度神经网络模型进行推理预测。目前，MNN已经在阿里巴巴的手机淘宝、手机天猫、优酷等20多个App中使用，覆盖直播、短视频、搜索推荐、商品图像搜索、互动营销、权益发放、安全风控等场景。此外，IoT等场景下也有若干应用。具体介绍和使用移步官方文档：MNN官方中文文档，本文也是围绕着该文档来。二 ：环境搭建针对端侧设备特点深度定制和裁剪，无任何依赖，可以方便地部署到移动设备和各种嵌入式设备中。这个框架还是很好编译的：环境要求cmake（建议使用3.10或以上版本）protobuf（使用3.0或以上版本）gcc（使用4.9或以上版本）这里cmake和gcc很好装，protobuf费点功夫，接下来主要介绍如何编译安装protobuf：主要参考：P4使用Ubuntu中安装中的问题安装依赖库sudo apt-get install autoconf automake libtool curl make g++ unzip下载源码git clone https://github.com/google/protobuf.git大概7.4m左右（我安装用最新版本的没装上，3.6.1成功：该版本下载：提取码9du0）下载完成后解压文件，得protobuf-3.6.1
进入https://github.com/google/googletest/releaseshttps://img-blog.csdnimg.cn/20190323202414496.png
选择一种压缩格式下载（最好使用我提供的版本1.8.1：提取码uyi2）下载完成后解压文件，得到googletest-release-1.8.1把googletest-release-1.8.1放入protobuf/third_party文件夹中，删除原来的googletest，再将googletest-release-1.8.1命名为googletes（）cd path/protobuf-3.6.1











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hahaer 发表于 2020-6-22 15:06:35


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fcq 发表于 2020-8-27 15:53:48

dfasdf
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