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https://github.com/lzxhahaha/nudle
Content base image retrieval platform
https://github.com/lzxhahaha/nudle
cbir cpp flask python react
Last synced: 2 months ago
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Content base image retrieval platform
- Host: GitHub
- URL: https://github.com/lzxhahaha/nudle
- Owner: LzxHahaha
- Created: 2017-01-14T12:44:39.000Z (about 8 years ago)
- Default Branch: master
- Last Pushed: 2022-12-06T15:02:37.000Z (about 2 years ago)
- Last Synced: 2024-04-14T19:52:16.772Z (10 months ago)
- Topics: cbir, cpp, flask, python, react
- Language: C++
- Homepage:
- Size: 3.56 MB
- Stars: 5
- Watchers: 4
- Forks: 0
- Open Issues: 13
-
Metadata Files:
- Readme: README.md
Awesome Lists containing this project
README
## Content Base Image Retrieval Platform
## DEMO
## 说明
项目分三个部分：
* `Saliency`: CPP项目，用于编译出`Saliency RC cut`的动态链接库。代码来源于[CmCode](https://github.com/MingMingCheng/CmCode)
* `front`: 前端项目，使用`React.js`实现
* `server`: python项目，使用`Flask`与`OpenCV`
## 基本环境安装
> 目前只在Windows下运行过
>
> 各个项目的运行方式在各个项目下的`README.md`中查看
### Python
1. 下载并安装[Python 3.6 (64 bit)](https://www.python.org/downloads/)
2. 在环境变量中新建`PYTHON_DIR`，值为python的安装目录
3. 在`PATH`中添加`%PYTHON_DIR%`和`%PYTHON_DIR%\Scripts`
4. 将`pip`切换到豆瓣源
5. 使用`pip install `指令依次安装第三方依赖
1. `flask`
2. `flask-cors`
3. `pymongo`
4. `pyparsing`
6. 以下依赖建议通过`whl`依次进行安装
1. [numpy+mkl](http://www.lfd.uci.edu/~gohlke/pythonlibs/#numpy)
2. [matplotlib](http://www.lfd.uci.edu/~gohlke/pythonlibs/#matplotlib)
3. [scipy](http://www.lfd.uci.edu/~gohlke/pythonlibs/#scipy)
4. [scikit-image](http://www.lfd.uci.edu/~gohlke/pythonlibs/#scikit-image)
5. [opencv+contrib](http://www.lfd.uci.edu/~gohlke/pythonlibs/#opencv)
6. [tornado](http://www.lfd.uci.edu/~gohlke/pythonlibs/#tornado)
7. [pycurl](http://www.lfd.uci.edu/~gohlke/pythonlibs/#pycurl)
> 建议版本为[requirement.txt](./server/requirements.txt)中的版本或更高
### OpenCV
1. 下载并解压[OpenCV 3.2](https://sourceforge.net/projects/opencvlibrary/)
2. 在环境变量中新建`OPENCV_DIR`，值为OpenCV解压的目录
3. 在`PATH`中添加`%OPENCV_DIR%\build\x64\vc14\bin`
### Boost
1. 安装`Visual Studio 2015`
2. 下载并解压[Boost 1.63.0](https://sourceforge.net/projects/boost/files/boost/1.63.0/)
3. 用VS自带的`VS2015 x64 本机工具命令提示符`编译Boost
```
$ cd /d
$ bootstrap.bat
```
4. 用文本编辑器打开生成的`project-config.jam`，在末尾添加
```
using python : 3.6 : : /include : /libs ;
```
5. 开始编译Boost
```
$ bjam.exe toolset=msvc-14.0 address-model=64 --prefix=/build --build-type=complete --with-python install
```
6. 将生成的`build/lib`文件夹移动到`/lib`，之后可以删除`build`文件夹以及上一步生成的`bin.v2`文件夹
7. 在环境变量中新建`BOOST_DIR`，值为Boost解压的目录
8. 在`PATH`中添加`%BOOST_DIR%`和`%BOOST_DIR%\lib`
### MongoDB
1. 下载并安装[MongoDB](https://www.mongodb.com/download-center#community)
1. 安装MongoDB服务
```
mongod --dbpath --logpath \mongo.log --logappend --serviceName MongoDB --serviceDisplayName MongoDB --install
```
其中的``为自定的路径，用于存放数据以及log
### Node.js
1. 下载并安装[Node.js 最新版本](https://nodejs.org/en/download/)
2. 执行以下命令
```
$ npm config set registry https://registry.npm.taobao.org
$ npm i -g babel-core babel-cli yarn webpack webpack-dev-server
```
### Nginx（可选）
1. 下载并安装[Nginx](http://nginx.org/en/download.html)
1. 打开`/conf/nginx.conf`，修改配置
```
server {
listen 80; # 可修改为其他端口
server_name cbir;
charset utf-8;
location ~* /static/.+\.(jpe?g|png|ico)$ {
alias /static; # 静态图片路径
gzip on;
expires 30d;
}
location ~* /static/.+\.js$ {
alias /static; # 脚本文件路径
gzip on;
expires 7d;
}
location / {
proxy_pass http://localhost:; # Python port 为自定端口，默认5000
proxy_set_header X-Real-IP $remote_addr;
proxy_pass_header Set-Cookie;
}
}
```