object-detection-algorithm / SSD

目标检测 - SSD算法实现

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SSD

Documentation Status standard-readme compliant Conventional Commits Commitizen friendly

SSD算法实现

Github上找到一个SSD目标检测算法实现 - lufficc/SSD,这个工程不仅完美的实现了SSD算法,而且整体结构清晰,具有高可扩展性。所以新建了一个仓库,一方面是学习SSD算法,另一方面是研究整个训练框架,以便于其他算法的实现

VOC07+12(VGG16, 300x300) FPS VOC07+12(VGG16, 512x512) FPS
论文实现 77.20% 46 79.80% 22
SSD实现 77.45% >70 80.36% ~30

内容列表

背景

安装

文档工具安装

$ pip install -r requirements.txt

用法

文档浏览

有两种使用方式

  1. 在线浏览文档:SSD

  2. 本地浏览文档,实现如下:

    $ git clone https://github.com/zjZSTU/SSD.git
    $ cd SSD
    $ mkdocs serve
    

    启动本地服务器后即可登录浏览器localhost:8000

主要维护人员

  • zhujian - Initial work - zjZSTU

致谢

引用

@misc{liu2015ssd,
    title={SSD: Single Shot MultiBox Detector},
    author={Wei Liu and Dragomir Anguelov and Dumitru Erhan and Christian Szegedy and Scott Reed and Cheng-Yang Fu and Alexander C. Berg},
    year={2015},
    eprint={1512.02325},
    archivePrefix={arXiv},
    primaryClass={cs.CV}
}

@misc{pascal-voc-2007,
	author = "Everingham, M. and Van~Gool, L. and Williams, C. K. I. and Winn, J. and Zisserman, A.",
	title = "The {PASCAL} {V}isual {O}bject {C}lasses {C}hallenge 2007 {(VOC2007)} {R}esults",
	howpublished = "http://www.pascal-network.org/challenges/VOC/voc2007/workshop/index.html"}

@misc{pascal-voc-2012,
	author = "Everingham, M. and Van~Gool, L. and Williams, C. K. I. and Winn, J. and Zisserman, A.",
	title = "The {PASCAL} {V}isual {O}bject {C}lasses {C}hallenge 2012 {(VOC2012)} {R}esults",
	howpublished = "http://www.pascal-network.org/challenges/VOC/voc2012/workshop/index.html"}

参与贡献方式

欢迎任何人的参与!打开issue或提交合并请求。

注意:

许可证

Apache License 2.0 © 2020 zjZSTU

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目标检测 - SSD算法实现

License:Apache License 2.0


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