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。