Sis: 通用图片检索引擎

用法

通过本机图片来计算

# 将图片文件放到static/img目录下,运行下面脚本进行离线计算
$ python offline.py
# 计算完毕后,启动服务端程序,默认监听端口是8000
$ python server.py

通过图片链接来计算

# 将图片链接放到static/img_url.txt中,运行下面脚本进行离线计算
$ python offline_1.py
# 计算完毕后,启动服务端程序,默认监听端口是8001
$ python server_1.py

Sis: Simple Image Search Engine

Demo

Workflow

Overview

Links

Usage

# Clone the code and install libraries
$ git clone https://github.com/matsui528/sis.git
$ cd sis
$ pip install -r requirements.txt
# Put your image files (*.jpg) on static/img
$ python offline.py
# Then fc6 features are extracted and saved on static/feature
# Note that it takes time for the first time because Keras downloads the VGG weights.
$ python server.py
# Now you can do the search via localhost:5000

Launch on AWS EC2

$ wget https://repo.continuum.io/archive/Anaconda3-5.0.1-Linux-x86_64.sh
$ bash Anaconda3-5.0.1-Linux-x86_64.sh # Say yes for all settings
$ source ~/.bashrc # Activate anaconda

Citation

@misc{sis,
 author = {Yusuke Matsui},
 title = {Sis: Simple Image Search Engine},
 howpublished = {\url{https://github.com/matsui528/sis}}
}