# ResNet **Repository Path**: zjZSTU/ResNet ## Basic Information - **Project Name**: ResNet - **Description**: Implementation of ResNet series Algorithm - **Primary Language**: Unknown - **License**: Apache-2.0 - **Default Branch**: master - **Homepage**: None - **GVP Project**: No ## Statistics - **Stars**: 0 - **Forks**: 0 - **Created**: 2020-04-10 - **Last Updated**: 2020-12-19 ## Categories & Tags **Categories**: Uncategorized **Tags**: None ## README # ResNet [![Documentation Status](https://readthedocs.org/projects/resnet/badge/?version=latest)](https://resnet.readthedocs.io/zh_CN/latest/?badge=latest) [![standard-readme compliant](https://img.shields.io/badge/standard--readme-OK-green.svg?style=flat-square)](https://github.com/RichardLitt/standard-readme) [![Conventional Commits](https://img.shields.io/badge/Conventional%20Commits-1.0.0-yellow.svg)](https://conventionalcommits.org) [![Commitizen friendly](https://img.shields.io/badge/commitizen-friendly-brightgreen.svg)](http://commitizen.github.io/cz-cli/) > `ResNet`算法实现 实现`ResNet`及后续版本,同时实现了相关模型: * `ResNet v1/v2` * `DenseNet` | CNN Architecture | Data Type (bit) | Model Size (MB) | GFlops (1080Ti) | Top-1 Acc(VOC 07+12) | Top-5 Acc(VOC 07+12) | |:----------------:|:---------------:|:---------------:|:-----------------:|:--------------------:|:--------------------:| | ResNet-18 | 32 | 44.607 | 3.641 | 89.98% | 99.29% | | ResNet-34 | 32 | 83.180 | 7.348 | 90.01% | 99.29% | | ResNet-34_v2 | 32 | 83.177 | 7.349 | 90.50% | 99.29% | | ResNet-50 | 32 | 97.492 | 8.223 | 89.37% | 99.39% | | ResNet-101 | 32 | 169.942 | 15.668 | 90.66% | 99.35% | | ResNet-101_v2 | 32 | 169.926 | 15.668 | 90.85% | 99.48% | | DenseNet-121 | 32 | 30.437 | 5.731 | 89.86% | 99.20% | ## 内容列表 - [背景](#背景) - [安装](#安装) - [用法](#用法) - [主要维护人员](#主要维护人员) - [致谢](#致谢) - [参与贡献方式](#参与贡献方式) - [许可证](#许可证) ## 背景 * [Deep Residual Learning for Image Recognition](https://arxiv.org/abs/1512.03385) * [Identity Mappings in Deep Residual Networks](https://arxiv.org/abs/1603.05027) * [Wide Residual Networks](https://arxiv.org/abs/1605.07146) * [Aggregated Residual Transformations for Deep Neural Networks](https://arxiv.org/abs/1611.05431) * [Densely Connected Convolutional Networks](https://arxiv.org/abs/1608.06993) ## 安装 ### 文档工具依赖 ``` # 文档工具依赖 $ pip install -r requirements.txt ``` ### python库依赖 ``` $ cd py $ 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:[ResNet](https://resnet.readthedocs.io/zh_CN/latest/) 2. 本地浏览文档,实现如下: ``` $ git clone https://github.com/zjZSTU/ResNet.git $ cd ResNet $ 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](https://github.com/zjZSTU) ## 致谢 ### 引用 ``` @misc{he2015deep, title={Deep Residual Learning for Image Recognition}, author={Kaiming He and Xiangyu Zhang and Shaoqing Ren and Jian Sun}, year={2015}, eprint={1512.03385}, archivePrefix={arXiv}, primaryClass={cs.CV} } @misc{he2016identity, title={Identity Mappings in Deep Residual Networks}, author={Kaiming He and Xiangyu Zhang and Shaoqing Ren and Jian Sun}, year={2016}, eprint={1603.05027}, archivePrefix={arXiv}, primaryClass={cs.CV} } @misc{huang2016densely, title={Densely Connected Convolutional Networks}, author={Gao Huang and Zhuang Liu and Laurens van der Maaten and Kilian Q. Weinberger}, year={2016}, eprint={1608.06993}, 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](https://github.com/zjZSTU/ResNet/issues)或提交合并请求。 注意: * `GIT`提交,请遵守[Conventional Commits](https://www.conventionalcommits.org/en/v1.0.0-beta.4/)规范 * 语义版本化,请遵守[Semantic Versioning 2.0.0](https://semver.org)规范 * `README`编写,请遵守[standard-readme](https://github.com/RichardLitt/standard-readme)规范 ## 许可证 [Apache License 2.0](LICENSE) © 2020 zjZSTU