https://github.com/willard-yuan/py-cbir-image-search-engine

This is a image search engine based on BoW model
https://github.com/willard-yuan/py-cbir-image-search-engine

Last synced: about 1 month ago
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This is a image search engine based on BoW model

• Host: GitHub
• URL: https://github.com/willard-yuan/py-cbir-image-search-engine
• Owner: willard-yuan
• Created: 2014-05-29T12:10:41.000Z (about 11 years ago)
• Default Branch: master
• Last Pushed: 2015-03-23T11:58:02.000Z (about 10 years ago)
• Last Synced: 2024-04-16T22:24:49.687Z (about 1 year ago)
• Language: Python
• Size: 71.3 MB
• Stars: 47
• Watchers: 7
• Forks: 22
• Open Issues: 0
• Metadata Files:
  • Readme: README.md

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README

        
## gosearch

gosearch是一个web图像搜索应用, 不同于过去传统的基于文本的图像检索(TBIR), gosearch是基于内容的图像检索(CBIR)。

### 框架

1. 首先提取图像库first500中各个图像的sift特征，每幅图像会对应一个提取的特征文件。

2. 采用BOW模型构建词汇向量，并配以tf-idf权重。

3. 进行匹配。

### 安装

- 由于`PCV`库依赖matplotlib、numpy等，建议你安装`python(x,y)`，在安装时推荐以**full**的形式安装。

- 安装好`python(x,y)`后，进入到**gosearch**的`PCV`目录下，运行下面命令：

```python

python setup.py install

```

安装好`PCV`库后，返回上一级目录，即**gosearch**目录，进入`CherryPy-3.2.4`目录下，同样运行上面的命令安装好CherryPy。

### 运行

- 完成上面安装后，即可运行本应用。