├── .github └── workflows │ ├── AutoUpdateGithubPages.yml │ ├── AutoUpdateWeChat.yml │ └── SyncToGitee.yml ├── .gitignore ├── CV ├── AI算法.md ├── OCR.md ├── 人脸识别.md ├── 关键点检测识别.md ├── 其他.md ├── 图像分割.md ├── 图像分类.md ├── 图像压缩.md ├── 图像检索.md ├── 图像篡改检测.md ├── 图像视频修复_增强_重建_超分.md ├── 多模态.md ├── 对抗攻击.md ├── 异常检测.md ├── 比赛技巧.md ├── 目标检测.md ├── 目标计数.md ├── 综合类型.md ├── 自动驾驶.md ├── 行为识别.md ├── 视频分割.md └── 视频理解.md ├── Interview.md ├── LICENSE ├── LLM.md ├── NLP.md ├── Others.md ├── README.md ├── Speech.md └── scripts ├── args.yaml ├── convert.py ├── convert.yaml └── spider_wechat_account.py /.github/workflows/AutoUpdateGithubPages.yml: -------------------------------------------------------------------------------- 1 | name: Auto Update to Github Pages. 2 | 3 | on: 4 | push: 5 | branches: [ main ] 6 | paths: 7 | - '**.md' 8 | - 'scripts/convert.py' 9 | - 'scripts/convert.yaml' 10 | - '.github/workflows/AutoUpdateGithubPages.yml' 11 | 12 | env: 13 | REPO_SSH: git@github.com:SWHL/AI-Competition-Collections.git 14 | USER_NAME: SWHL 15 | USER_EMAIL: liekkaskono@163.com 16 | CLONE_DIR: AI-Competition-Collections 17 | SUBMMIT_BRANCH: hugo_source 18 | 19 | jobs: 20 | build: 21 | runs-on: ubuntu-latest 22 | 23 | steps: 24 | - name: Set SSH Environment 25 | env: 26 | DEPLOY_KEY: ${{ secrets.DEPLOY_KEY }} 27 | run: | 28 | mkdir -p ~/.ssh/ 29 | echo "$DEPLOY_KEY" > ~/.ssh/id_rsa 30 | chmod 600 ~/.ssh/id_rsa 31 | chmod 700 ~/.ssh && chmod 600 ~/.ssh/* 32 | git config --global user.name $USER_NAME 33 | git config --global user.email $USER_EMAIL 34 | 35 | - name: Convert all md files to hugo format. 36 | run: | 37 | pip install PyYAML 38 | git clone $REPO_SSH ${CLONE_DIR} 39 | cd ${CLONE_DIR}/scripts 40 | python convert.py 41 | 42 | - name: Summit repo to hugo_source branch. 43 | run: | 44 | git clone -b ${SUBMMIT_BRANCH} $REPO_SSH ${SUBMMIT_BRANCH} 45 | cd ${SUBMMIT_BRANCH} 46 | rm -r content 47 | cp -r ../${CLONE_DIR}/content . 48 | 49 | git add . 50 | git status 51 | git commit -m 'Actions auto update' && git push -f origin ${SUBMMIT_BRANCH} || echo "No changes to commit" 52 | -------------------------------------------------------------------------------- /.github/workflows/AutoUpdateWeChat.yml: -------------------------------------------------------------------------------- 1 | name: Auto Update Wechat official account 2 | on: 3 | push: 4 | branches: [ main ] 5 | paths: 6 | - '.github/workflows/AutoUpdateWeChat.yml' 7 | - 'scripts/spider_wechat_account.py' 8 | - 'scripts/args.yaml' 9 | schedule: 10 | - cron: '0 14 * * 5' # 22点运行 14 + 8 11 | 12 | env: 13 | REPO_SSH: git@github.com:SWHL/AI-Competition-Collections.git 14 | USER_NAME: SWHL 15 | USER_EMAIL: liekkaskono@163.com 16 | CLONE_DIR: AI-Competition-Collections 17 | 18 | jobs: 19 | build: 20 | runs-on: ubuntu-latest 21 | 22 | steps: 23 | - name: Set SSH Environment 24 | env: 25 | DEPLOY_KEY: ${{ secrets.DEPLOY_KEY }} 26 | run: | 27 | mkdir -p ~/.ssh/ 28 | echo "$DEPLOY_KEY" > ~/.ssh/id_rsa 29 | chmod 600 ~/.ssh/id_rsa 30 | chmod 700 ~/.ssh && chmod 600 ~/.ssh/* 31 | 32 | - name: Spider WeChat Account 33 | env: 34 | WECHAT_COOKIE: ${{ secrets.WECHAT_COOKIE }} 35 | WECHAT_TOKEN: ${{ secrets.WECHAT_TOKEN }} 36 | id: spider 37 | run: | 38 | pip install fake_useragent requests 39 | git clone $REPO_SSH ${CLONE_DIR} 40 | cd ${CLONE_DIR}/scripts 41 | output=$(python spider_wechat_account.py --cookie "${WECHAT_COOKIE}" --token ${WECHAT_TOKEN}) 42 | echo "is_content=${output}" >> ${GITHUB_OUTPUT} 43 | 44 | - name: Update Repo. 45 | if: steps.spider.outputs.is_content == 1 # 说明有更新 46 | run: | 47 | cd ${CLONE_DIR} 48 | git config --global user.name $USER_NAME 49 | git config --global user.email $USER_EMAIL 50 | git remote remove origin 51 | git remote add origin $REPO_SSH 52 | 53 | git add -u 54 | git commit -m 'Actions auto update' && git push -f origin ${SUBMMIT_BRANCH} || echo "No changes to commit" 55 | -------------------------------------------------------------------------------- /.github/workflows/SyncToGitee.yml: -------------------------------------------------------------------------------- 1 | name: SyncToGitee 2 | on: 3 | push: 4 | branches: 5 | - main 6 | jobs: 7 | repo-sync: 8 | runs-on: ubuntu-latest 9 | steps: 10 | - name: Checkout source codes 11 | uses: actions/checkout@v3 12 | 13 | - name: Mirror the Github organization repos to Gitee. 14 | uses: Yikun/hub-mirror-action@master 15 | with: 16 | src: 'github/SWHL' 17 | dst: 'gitee/SWHL' 18 | dst_key: ${{ secrets.GITEE_PRIVATE_KEY }} 19 | dst_token: ${{ secrets.GITEE_TOKEN }} 20 | force_update: true 21 | # only sync this repo 22 | static_list: "AI-Competition-Collections" 23 | debug: true 24 | 25 | -------------------------------------------------------------------------------- /.gitignore: -------------------------------------------------------------------------------- 1 | .DS_Store 2 | .vscode 3 | 4 | *.pyc 5 | __pycache__ -------------------------------------------------------------------------------- /CV/AI算法.md: -------------------------------------------------------------------------------- 1 | - [【2021-12-12】腾讯QQ浏览器2021AI算法大赛，北大冠军团队经验分享，附详细代码](https://mp.weixin.qq.com/s/CGrVYSq_nFj7dVWN8fheCw) 2 | - [【2021-12-20】竞赛总结：QQ浏览器 2021 AI算法大赛](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247497521&idx=1&sn=3bbcd5d134c117150642b5897b4f0a6d&chksm=96c7daf4a1b053e224fffa25f0ea7fb5433c6e2d22f75e54dd14ff8799337868b638320e7849&scene=21#wechat_redirect) -------------------------------------------------------------------------------- /CV/OCR.md: -------------------------------------------------------------------------------- 1 | - [【2023-12-28】2023科大讯飞表格结构识别挑战赛Top方案](https://mp.weixin.qq.com/s/6NdSY6H4C1t-s2w_pJXYrQ) 2 | - [【2023-07-13】ICDAR21表格解析方案汇总](https://zhuanlan.zhihu.com/p/379585300) 3 | - [【2023-03-21】ICPR 图像识别与检测挑战赛冠军方案出炉，基于偏旁部首来识别 Duang 字](https://www.cvmart.net/community/detail/696) 4 | - [【2023-01-04】CV赛题总结：人民币面值与编码识别](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247484819&idx=1&sn=30a464f8cb7d6f403fc28b134be18210&chksm=96c42856a1b3a140d3ebc1fee1b08cfdc84fff1ca3ce54729f38a7f2d0e93cf5d38716a2f566&scene=21#wechat_redirect) 5 | - [【2022-08-10】三年磨一剑——微信OCR图片文字提取](https://cloud.tencent.com/developer/article/1798403) 6 | - [【2022-06-24】360数科夺得OCR国际技术竞赛冠军，商超小票文本行识别如何做到最佳？](https://mp.weixin.qq.com/s/JofpqmaaHwx-s9PLTE3YzA) 7 | - [【2022-04-14】AlexNet做文档布局分析 (版面分析)&数据集](https://blog.csdn.net/demm868/article/details/106010223) 8 | - [【2022-03-27】2021好未来表格识别技术第一名方案](https://mp.weixin.qq.com/s/JyA10ANVtT25pKZVH2fdOA) 9 | - [【2022-02-24】[竞赛冠军方法分享] | PRCV 2021表格识别技术挑战赛--分阶段表格识别方案](https://mp.weixin.qq.com/s/wUSeWeQQ2G_mQznD5a3FRw) 10 | - [【2022-02-17】竞赛冠军方法分享 | 基于多模态GCN和句子排序的POI生成方案](https://mp.weixin.qq.com/s/HcmBuKx1xMSOOW6dyAb8pQ) 11 | - [【2021-11-19】ICDAR2019 Robust Reading Challenge on Arbitrary-Shaped Text 冠军方案源码](https://github.com/zhang0jhon/AttentionOCR) 12 | - [【2022-01-23】世界人工智能大赛 Top1 方案！手写体 OCR 识别](https://mp.weixin.qq.com/s/8KW4Sdrbcypy5e6rt8qeYw) 13 | - [【-】【冠军】ICDAR 2019 自由字型文本识别竞赛冠军方案](https://bbs.cvmart.net/articles/884/vote_count) 14 | - [【-】好大夫在线在AI落地场景上的探索：医学报告单结构化](https://mp.weixin.qq.com/s/J1TDlMNp8Cy2DpqMKO9RFw) 15 | - [【-】基于OCR的身份证要素提取](https://discussion.datafountain.cn/questions/2232) 16 | - [【-】【比赛冠军方案开源】真实场景下身份证复印件OCR信息抽取](https://mp.weixin.qq.com/s/55syneurJCy7YBL_Vw16Wg) | [源码](https://github.com/Mingtzge/2019-CCF-BDCI-OCR-MCZJ-OCR-IdentificationIDElement) 17 | -------------------------------------------------------------------------------- /CV/人脸识别.md: -------------------------------------------------------------------------------- 1 | - [【2024-04-30】FaceChain高保真人像风格生成挑战赛：一等奖方案](https://mp.weixin.qq.com/s/Xui34QikLCYIcA6-H5YN1g) 2 | - [【2023-01-04】DF | 多人种人脸识别冠军分享（文末冠军彩蛋）](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247483935&idx=1&sn=c82806f1c4fdd3c3c6e31a31a6faf75c&chksm=96c42fdaa1b3a6cc95e05cc401b97bb7588b86cf221664e3949de6473240debd6fcae5da3a93&scene=21#wechat_redirect) 3 | - [【2023-01-04】竞赛总结：安全AI之人脸识别对抗](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247486836&idx=1&sn=2e0c6d9c22e50c4c750533ef6666e596&chksm=96c420b1a1b3a9a7da5503896ba524423dce07298e7e63ff914a57964306a41c0baaf921039f&scene=21#wechat_redirect) 4 | - [【2023-01-04】微众人脸识别对抗亚军开源方案](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247487793&idx=1&sn=b151792e77d9a897c6a77f8c7f120aac&chksm=96c43cf4a1b3b5e2e119e9db4dbb439f8cb38deda77f78c3d40bd626bfd373e42993be6a3b78&scene=21#wechat_redirect) 5 | - [【2023-01-01】竞赛总结：CCF多人种人脸识别](https://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247497928&idx=1&sn=b2b50ff22e512a0b6b5df1bc3316299a&chksm=96c7d50da1b05c1b5a7c66125af51937e7a865813d031c23d8b2cdde3a46f3c61428b6e72f06&scene=21#wechat_redirect) 6 | -------------------------------------------------------------------------------- /CV/关键点检测识别.md: -------------------------------------------------------------------------------- 1 | - [【2023-11-23】快来抄作业！MICCAI 2023头影关键点检测挑战赛SOTA方案全面解析](https://mp.weixin.qq.com/s/EDdwr8g2O0xkab6XQrJdrQ) 2 | - [【2021-12-08】ICCV 2021 口罩人物身份鉴别全球挑战赛冠军方案分享](https://mp.weixin.qq.com/s/cmP-jJLbCTw-sIUQnZxmKw) 3 | - [【2022-01-06】CCF BDCI 2021 花样滑冰动作识别比赛基于 MMAction2 的方案分享](https://zhuanlan.zhihu.com/p/439870162) 4 | -------------------------------------------------------------------------------- /CV/其他.md: -------------------------------------------------------------------------------- 1 | - [【2023-10-27】商汤LPCV冠军方案揭秘！效率优化的极致探索](https://mp.weixin.qq.com/s/e6ubOBxxPLsmLEK3AgmqxQ) -------------------------------------------------------------------------------- /CV/图像分割.md: -------------------------------------------------------------------------------- 1 | - [【2024-05-27】UBC Ovarian Cancer Subtype Classification and Outlier Detection](https://mp.weixin.qq.com/s/8IC9yZx6oRPSZ9UcAtWtMA) 2 | - [【2023-11-04】打破遮挡和数据稀缺难题：MMSports 2023 全球分割竞赛冠军方案分享！](https://mp.weixin.qq.com/s/FPVxBIvenwPRC_XK24gXxg) 3 | - [【2023-09-16】斩获CVPR 2023竞赛2项冠军｜美团街景理解中视觉分割技术方案解读](https://mp.weixin.qq.com/s/51rJV4D8mC1lBkiPcnJvoQ) 4 | - [【2023-08-25】CVPR 2023 冠军解决方案，零样本异常分割新突破！](https://mp.weixin.qq.com/s/_mJKn4o_U_VjEqlz7DXUFQ) 5 | - [【2023-05-11】基于昇思MindSpore AI框架的肾脏肿瘤分割一等奖方案](https://mp.weixin.qq.com/s/u40ONLW5_8Fzv75VN06y8Q) 6 | - [【2023-01-04】华录杯数据湖大赛：车道线识别 Top5方案](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247489236&idx=1&sn=d3660823b56d22250a1a6c46c60fab2e&chksm=96c43b11a1b3b207c4bd7d36fa7e7a2527a3e77d3ccd6c72bfd1c8a1ee8fefbff1dca8fbfe81&scene=21#wechat_redirect) 7 | - [【2023-01-04】竞赛总结：Kaggle HuBMAP肾小球比赛](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247491713&idx=1&sn=0634fc28a4ee73174073ea32d12e6ff4&chksm=96c7cd44a1b04452aca0f3811bec5096721371249af7ef98fc5e800f08c54a76355730a74c11&scene=21#wechat_redirect) 8 | - [【2023-01-01】竞赛总结：2020NAIC遥感影像 Y^2C团队（优胜奖队伍）](https://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247497690&idx=1&sn=e700c2f80149488d3d692901a919306e&chksm=96c7da1fa1b05309115a80b7030521c3f08bc0c58663866b01a5ec6a7e3e318555123cec29b5&scene=21#wechat_redirect) 9 | - [【2021-12-14】魔改nnU-Net夺冠！2021 BraTS 脑肿瘤分割竞赛第一名解决方案](https://mp.weixin.qq.com/s/k_v8FG26VGKlZypIdyw5lQ) 10 | - [【2022-07-07】字节智能创作AI平台Byte-IC-AutoML AVA比赛冠军方案](https://arxiv.org/abs/2206.10845) 11 | - [【2021-11-23】从39个kaggle竞赛中总结出来的图像分割的Tips和Tricks（附资源）](https://mp.weixin.qq.com/s/O93JIkUXIfvFwHNfy0ZHZA) 12 | - [【2021-11-01】LVIS Challenge 2021长尾分布实例分割冠军解决方案](https://zhuanlan.zhihu.com/p/427853229) 13 | -------------------------------------------------------------------------------- /CV/图像分类.md: -------------------------------------------------------------------------------- 1 | - [【2024-01-12】基于相似性图片分类的病虫害识别冠军方案详解-2023长三角（芜湖）人工智能视觉算法大赛](https://mp.weixin.qq.com/s/9iHtATVoYP6kumYxQnwZ3g) 2 | - [【2023-07-28】Kaggle比赛总结：Benetech图表识别](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247502167&idx=1&sn=8e2e5565945deca85f1ce4b9de0c6f8a&chksm=96c7e492a1b06d84d703e0d80611c98646ab023b1fdfadc752c12619feff10fea984d386ebdb#rd) 3 | - [【2023-05-12】Kaggle赛题总结：谷歌手语识别](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247501591&idx=1&sn=b03f7c2095f3f3ea3f5e96041c47333d&chksm=96c7ead2a1b063c4617ee07d9bd449b2532cb5047e37aaae038aa6289e16c20f2206637b6913#rd) 4 | - [【2023-01-04】biendata | U-RISC 神经元识别Top1分享](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247484203&idx=1&sn=76136656e7ebee49d87426c5d728a989&chksm=96c42eeea1b3a7f8e5743b2e8c25a1caddef78a30c65c9787d13ff65dae268ef3c77d82d7a9d&scene=21#wechat_redirect) 5 | - [【2023-01-04】Kaggle | Bengali 比赛总结](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247484233&idx=1&sn=3d32009dead549997bdc6c6ad911b41d&chksm=96c42e8ca1b3a79a1f27eee94b15dc75ae4349af230f8e4cf6cf5304bc9421e77feeca2c7493&scene=21#wechat_redirect) 6 | - [【2023-01-04】竞赛总结：Kaggle SIIM-ISIC比赛复盘](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247486372&idx=1&sn=a26ce218c0fcea45342b8510f539a363&chksm=96c42661a1b3af77115d52ee4287cc80b8108d852eaee2115d5b248822b7aa5bed7e0fc3eb08&scene=21#wechat_redirect) 7 | - [【2023-01-04】竞赛总结：用ViT模型完成木薯叶分类](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247492582&idx=1&sn=793aba377898e6fa92c041f2e5e5c7c4&chksm=96c7ce23a1b0473504cd13af5ac13101973ec3bac237a01f680e2fd1aa9a7571ab5ce3d32361&scene=21#wechat_redirect) 8 | - [【2023-01-04】竞赛总结：百度商家招牌的分类与检测](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247492733&idx=1&sn=0e728c45ad2fe97f0c5daf8056d90201&chksm=96c7c9b8a1b040ae84def1217d5e728a610e6bcf56a76eb344d118cdca6ade832257c8e6457a&scene=21#wechat_redirect) 9 | - [【2022-12-23】CVPR2022-FGVC9细粒度视觉图像高粱品种分类Top4解决方案](http://mp.weixin.qq.com/s?__biz=Mzk0NDE5Nzg1Ng==&mid=2247505907&idx=2&sn=0ba2bbd71c367ace67d8daf37a924dd8&chksm=c32ace7cf45d476a19c24d7cf5bc57122c39c2d76e735db83a9781a5932952a31caccf7c1447#rd) 10 | - [【2022-12-17】CVPR2022-FGVC9细粒度视觉图像高粱品种分类Top4解决方案](https://mp.weixin.qq.com/s/TsyLh17ed0u-ci1ctrbPCA) 11 | - [【2022-10-06】【二等奖方案①】CCF BDCI「基于MindSpore AI框架实现零售商品识别」赛题 中科大+长三角创研院](https://mp.weixin.qq.com/s/yqGsKfI5UFmieoY-sII3RA) 12 | - [【2022-10-06】【二等奖方案②】CCF BDCI「基于MindSpore AI框架实现零售商品识别」赛题 蓝月亮](https://mp.weixin.qq.com/s/TSO7YlXYcCi6PsJhEAQufQ) 13 | - [【2022-10-06】【三等奖方案①】CCF BDCI「基于MindSpore AI框架实现零售商品识别」赛题 果壳小分队](https://mp.weixin.qq.com/s/ZY8-9A6IH53O_Kpve7UggQ) 14 | - [【2022-10-06】【三等奖方案②】CCF BDCI「基于MindSpore AI框架实现零售商品识别」赛题 王炸](https://mp.weixin.qq.com/s/SBxSdqDMBLaqBj5IOJuMIw) 15 | - [【2022-06-17】CVPR 2022视觉算法 赛道一：宠物生物特征识别竞赛Top团队方案](https://mp.weixin.qq.com/s/3Sow9bng3krLPcW7x8ebzA) 16 | - [【2021-11-08】2021科大讯飞-X光安检图像识别赛Top1方案！](https://mp.weixin.qq.com/s/pIrqtxseLpUj1TZV4VohNw) 17 | - [【-】支付宝夺冠CVPR细粒度视觉分类挑战赛：数据增强+知识蒸馏](https://baijiahao.baidu.com/s?id=1669179024802175438&wfr=spider&for=pc) 18 | - [【-】详解这场图片分类赛baseline，赢取官方人才认证+奖金](https://mp.weixin.qq.com/s/mRyFVNN4gFVq_6lUJoDQEg) 19 | - [【-】Kaggle木薯叶图像分类比赛打酱油经验帖](https://mp.weixin.qq.com/s/TGE9km9hyq1ty5IvzkKsQg) 20 | - [【-】图像分类：来自13个Kaggle项目的经验总结](https://mp.weixin.qq.com/s/Q9Uai1LjNFsMPt16usWMvA) 21 | - [【-】Apache Flink极客挑战赛-垃圾图片分类赛道冠军方案分享](https://mp.weixin.qq.com/s/7pcYnmJECpEM5M7TehEZFQ) 22 | - [【-】字节跳动获CVPR2021 细粒度图像竞赛双料冠军](https://mp.weixin.qq.com/s/-9bp90AN3Q0T-MW5isB7Og) 23 | - [【-】CVPR2021 FGVC8植物病理识别挑战赛，冠军方案解读](https://mp.weixin.qq.com/s/Vgg2kpAmXInAFbHYFedUKg) 24 | - [【-】搜狗商品识别中的一些技术应用](https://zhuanlan.zhihu.com/p/84786889) 25 | - [【-】ACCV2020国际细粒度网络图像识别冠军方案解读、经验总结](https://mp.weixin.qq.com/s/lPWd7Zvcmm5Sjqp17_dRTA) 26 | - [【-】JDATA 2019 雪豹识别挑战赛冠军方案](https://mp.weixin.qq.com/s?__biz=MzI5MDUyMDIxNA==&mid=2247493670&idx=2&sn=5d3309c7e5f16f0e056f95e119c9fa88&chksm=ec1c05dfdb6b8cc963b19bf8bd3a76858a38f6682cd7cfd439d7ade800b73817970e0add8cd3&scene=0&xtrack=1&ascene=14&devicetype=android-27&version=2700133f&nettype=WIFI&abtest_cookie=AAACAA%3D%3D&lang=zh_CN&exportkey=AbWnVwEnJPccPV4tIFAMTY8%3D&pass_ticket=5mzTrHSDGRPTpcEMRlgjZ5bAfPxXS9UjyxzUQdbrwodKwnTYB%2BhMmGpFGnY1sCpG&wx_header=1) 27 | - [【-】TinyMind 多标签图像分类竞赛 之路](http://www.mamicode.com/info-detail-2466907.html) | [识别第三名代码](https://github.com/RayDean/RMB_TechDing) 28 | - [【-】华为云·垃圾分类亚军方案分享](http://t.csdn.cn/hT3hQ) 29 | - [【-】PartIVALISC大规模商品图像检索和8000类精细粒度图像识别竞赛获胜方案简介](https://github.com/SWHL/AI-Competition-Collections/releases/download/v0.0.0/PartIVALISC.8000.pdf) 30 | -------------------------------------------------------------------------------- /CV/图像压缩.md: -------------------------------------------------------------------------------- 1 | - [【2022-07-07】火山引擎多媒体实验室在基于深度学习的图像压缩大赛 ：高、低码率双赛道夺冠方案](https://openaccess.thecvf.com/content/CVPR2022W/CLIC/html/Li_A_Neural-Network_Enhanced_Video_Coding_Framework_Beyond_VVC_CVPRW_2022_paper.html) 2 | -------------------------------------------------------------------------------- /CV/图像检索.md: -------------------------------------------------------------------------------- 1 | - [【2023-01-04】视频版权检测优胜解决方案](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247484262&idx=1&sn=56931a1a19b5e198e58e0e771278cb9d&chksm=96c42ea3a1b3a7b5b38a87b2f5b8247ec3f2e8eaf64ccf7ba2275b2ee6f2f962d07b7a02b3af&scene=21#wechat_redirect) 2 | - [【2023-01-04】华为DIGIX 图像检索赛题亚军分享](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247488780&idx=1&sn=a577ead3657675bcc00d027e053e97e9&chksm=96c438c9a1b3b1df342f55ce5500269f87b4081f5d89fa18e2565270f9f547a0ed69c8232e5c&scene=21#wechat_redirect) 3 | - [【2023-01-01】KDD Cup 2022：亚马逊商品检索比赛总结](https://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247499547&idx=1&sn=9d113df3be40b9953871dfbbdf417f94&chksm=96c7d2dea1b05bc866a3338f7b3c4c834793c8f11219128d02856877dd86a68731df0a56819b&scene=21#wechat_redirect) 4 | - [【2023-01-01】竞赛总结：Kaggle 谷歌图像编码与检索](https://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247499928&idx=1&sn=b6dfe8e72d19004fc620962fea2a95d1&chksm=96c7ed5da1b0644b4e621df293e39349731ea53be42c2c9c50ed59a2a503dd4d6061da269e74&scene=21#wechat_redirect) 5 | - [【2023-01-01】竞赛总结：DrivenDATA 鲸鱼检索与识别](https://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247499888&idx=1&sn=7ee2ae5e160d188346c56e0ab0bccbe4&chksm=96c7edb5a1b064a360fac3e08eefb9f963ebee75f9c7083aaca7dfa0c979f4df6f02b930d43f&scene=21#wechat_redirect) 6 | - [【2023-01-01】竞赛总结：FaceBook ISC2021 图像相似度检索（版权检测方向）](https://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247498048&idx=1&sn=c11b922bfe4b01f34da13d1c4d294ce2&chksm=96c7d485a1b05d93709f48df6d38984ae81c1372a2b805840613497c5d2423fe4391c31bfe6d&scene=21#wechat_redirect) -------------------------------------------------------------------------------- /CV/图像篡改检测.md: -------------------------------------------------------------------------------- 1 | - [【2022-06-17】CVPR 2022视觉算法 赛道二：图像篡改检测竞赛Top团队方案](https://mp.weixin.qq.com/s/3Sow9bng3krLPcW7x8ebzA) 2 | -------------------------------------------------------------------------------- /CV/图像视频修复_增强_重建_超分.md: -------------------------------------------------------------------------------- 1 | - [【2024-06-20】CVPR NTIRE 冠亚军方案解读｜小红书如何提升短视频与直播体验质量？](https://mp.weixin.qq.com/s/GswAzaffXwHtiKgYI4GF3A) 2 | - [【2023-07-24】大疆腾讯携手杀疯了！——单目深度估计挑战赛冠军方案-ICCV2023](https://mp.weixin.qq.com/s/yhiNcJNGhRT_0TaPY2Jrsg) 3 | - [【2023-06-27】NTIRE2023-RTSR-Track2 冠军方案详解](https://mp.weixin.qq.com/s/Ln2mhqPWnXsdiItuD7-itQ) 4 | - [【2023-06-16】再夺全球顶级竞赛CVPR NTIRE冠军，打造更好用户体验，淘宝拥有哪些内容技术？](https://mp.weixin.qq.com/s/PYVJH3CjMF2IFDvSn0At6g) 5 | - [【2023-01-04】全国人工智能大赛 AI+4K HDR赛项 冠军团队方案分享](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247484092&idx=1&sn=3cebff4d7a239861633a51db9caa74be&chksm=96c42f79a1b3a66f4e241c357c1ccfb1eebc7dc6576ce3df7a31e977ce83f747e7edc1392aed&scene=21#wechat_redirect) 6 | - [【2022-06-24】旷视研究院荣获 CVPR 2022 NTIRE RAW 图像多帧超分-真实世界数据赛道比赛第一！](https://mp.weixin.qq.com/s/Uab8s3PzEtxNblEVMtvO3w) 7 | - [【2022-07-07】字节智能创作音视频团队NTIRE ESR(Efficient Super-Resolution)冠军方案](http://arxiv.org/abs/2205.07514) 8 | - [【2022-04-24】[CVPR 2022 & NTIRE 2022 冠军] 多快好省的高光谱图像重建](https://zhuanlan.zhihu.com/p/501101943) 9 | - [【2022-06-02】字节跳动团队夺得NTIRE 2022 ESR挑战赛主赛道冠军](https://mp.weixin.qq.com/s/e_kwXbgLEbD8Am7qRoJJZw) 10 | - [【2022-05-19】CVPR NTIRE比赛双冠，网易互娱AI Lab是这样做的](https://mp.weixin.qq.com/s/59aq5ocE_EAjCaL6Xvo9hg) 11 | - [【2022-04-30】NTIRE 2022 视频增强冠军经验分享](https://mp.weixin.qq.com/s/8NHhFtJrmm7kTUf-QjHk6Q) 12 | - [【2022-04-24】旷视研究院荣获 CVPR 2022 NTIRE 双目图像超分辨率比赛第一！](https://mp.weixin.qq.com/s/rUAP_4EFcy6eXE3kJqFrtg) 13 | - [【2022-03-19】CVPR 2021 NTIRE 2021 挑战赛多帧 HDR 成像冠军方案](https://mp.weixin.qq.com/s/VLSxq90-myP4Khc0jONVOw) 14 | - [【2022-03-30】百度网盘文档图像摩尔纹消除比赛分享](http://t.csdn.cn/HVEIM) 15 | -------------------------------------------------------------------------------- /CV/多模态.md: -------------------------------------------------------------------------------- 1 | - [【2023-03-21】来也-微信头像性别预测](https://mp.weixin.qq.com/s/6n9046pY8kd4GUss99nFNQ) 2 | - [【2023-01-04】竞赛总结：Kaggle Shopee多模态检索](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247491977&idx=1&sn=57d94d0775467832eb82db4eafade7a1&chksm=96c7cc4ca1b0455ac4021adf9e49e4c060e4f06e8a654c2cce30cca8299069bb0254ebaae38c&scene=21#wechat_redirect) 3 | - [【2023-01-01】竞赛总结：2022微信大数据挑战赛](https://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247499766&idx=1&sn=90377d970b8d0b446a9bd0570d46eea6&chksm=96c7d233a1b05b2574815d1770315da32d1487a3335f111ea508ec96268cf4d0c7b94738355e&scene=21#wechat_redirect) 4 | - [【2022-07-07】字节跳动极光-多模态技术团队VizWiz 2022 Answer Grounding竞赛冠军方案](http://aiskyeye.com/%E5%9B%A2%E9%98%9F%E8%B5%A2%E5%BE%97cvpr-2022-vizwiz-vqa-grounding-%E5%86%A0%E5%86%9B/) 5 | - [【2022-03-19】ACM MM 2021 WAB 产品的识别冠军方案](https://mp.weixin.qq.com/s/VLSxq90-myP4Khc0jONVOw) 6 | -------------------------------------------------------------------------------- /CV/对抗攻击.md: -------------------------------------------------------------------------------- 1 | - [【2021-12-08】对抗图像变换攻击，腾讯OVB-AI技术中心获NeurIPS2021图像相似度挑战赛季军](https://mp.weixin.qq.com/s/KfgFo2n1AUijjrMoSE1eTQ) 2 | -------------------------------------------------------------------------------- /CV/异常检测.md: -------------------------------------------------------------------------------- 1 | - [【2023-07-19】CVPR VISION 23挑战赛第1赛道亚军解决方案 - 数据高效缺陷检测](https://mp.weixin.qq.com/s/w4nHbfJXUjxamUXklC2vnQ) 2 | - [【2023-06-16】CVPR 2023 VAND Workshop Challenge零样本异常检测冠军方案](https://mp.weixin.qq.com/s/KA8CdPpPASDdFXSk2_M4vg) -------------------------------------------------------------------------------- /CV/比赛技巧.md: -------------------------------------------------------------------------------- 1 | - [【2022-04-26】称霸Kaggle的十大深度学习技巧！](https://mp.weixin.qq.com/s/6ZJYaIU9wH8-L4tUHTP4_w) 2 | - [【2021-11-28】【极市打榜】算法竞赛/打榜通用技巧总结（附源码）](https://mp.weixin.qq.com/s/Myvzu5oX1yB7H2nMBW-IpA) 3 | - [【-】图像赛排行榜拉开100名差距的小技巧](https://mp.weixin.qq.com/s/BbFCAHtS-nZYe_--WP65tA) 4 | - [【-】DataWhale 各种比赛baseline汇总](https://github.com/datawhalechina/competition-baseline) 5 | - [【-】10亿级！淘宝大规模图像检索引擎算法设计概览](https://mp.weixin.qq.com/s/xfV4Vm6AMY_vN4hCrTsRtg) 6 | - [【2021-11-04】我是如何赢得吴恩达首届 Data-centric AI 竞赛的？](https://mp.weixin.qq.com/s/VVCrRPZZWw7o6gR_SP8EUg) 7 | - [【2021-10-28】ICCV2021 UVO Challenge 双冠军比赛复盘](https://zhuanlan.zhihu.com/p/422929082) 8 | - [【2021-09-29】高通人工智能应用创新大赛冠军方案解读](https://mp.weixin.qq.com/s/2efke2PymcqMstkw4httUA) 9 | - [【-】干货 | 解密美图大规模多媒体数据检索技术DeepHash](https://www.sohu.com/a/240830376_651893) 10 | - [【-】竞赛冠军方案：2020珠港澳人工智能算法大赛双料冠军解读](https://mp.weixin.qq.com/s/XncGJTXHAgCb3_rVp770gQ) 11 | -------------------------------------------------------------------------------- /CV/目标检测.md: -------------------------------------------------------------------------------- 1 | - [【2024-01-27】基于车载视角下多路标牌检测识别赛题冠军方案解读-2023长三角(芜湖)人工智能大赛](https://mp.weixin.qq.com/s/_3eG2fVR0clE88SdCPyR4w) 2 | - [【2024-01-27】竞赛总结：科大讯飞2023 文档要素分类](https://mp.weixin.qq.com/s/QUgMCy1dwIKk-U7UBj7xCA) 3 | - [【2023-12-09】竞赛总结：科大讯飞2023 X光安检图像识别挑战赛](https://mp.weixin.qq.com/s/azM4OGsYhMM_AG4-oJ6DNQ) 4 | - [【2023-11-18】冠军方案！2023第二届广州·琶洲算法大赛](https://mp.weixin.qq.com/s/myXYZsfnlpES53rFMahIAA) 5 | - [【2023-07-22】ECV2023｜睡岗识别冠军方案解读](https://mp.weixin.qq.com/s/pMoorrDWGGWX-DfEAuqyEw) 6 | - [【2023-06-30】CVPR2023 Occupancy Prediction比赛方案总结](https://mp.weixin.qq.com/s/o9yPutdNFiZvoVKy4NevGw) 7 | - [【2023-04-03】建议收藏！超实用的 YOLO 训练&测试技巧合集](https://mp.weixin.qq.com/s/iF2Upd2ThMBlWPim8Gj13g) 8 | - [【2023-03-03】徘徊检测赛题冠军方案｜PRCV2022计算机视觉算法应用技术挑战赛](https://mp.weixin.qq.com/s/3uVvfE7W2LhtvgoTthhuiA) 9 | - [【2022-09-13】客流统计识别冠军方案｜ECV 2022](https://mp.weixin.qq.com/s/Xsd8R4aeIu6e72EdJ6G9rA) 10 | - [【2023-01-15】CCBR2022 行为特征识别大赛｜躺坐识别赛道冠军方案](https://mp.weixin.qq.com/s/FY3PjoUu0SYCX6cAv5x4oQ) 11 | - [【2023-01-04】【冠军方案分享】算法赛道-‘数字人体’视觉挑战赛](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247487090&idx=1&sn=379e2ad01cdaff22f40bef2ee7d90856&chksm=96c423b7a1b3aaa1b7a78db71995a0ce140c25652d21872835f0ff2e316e17fb36f9f8a15931&scene=21#wechat_redirect) 12 | - [【2023-01-04】【冠军方案分享】CIKM2020 安全AI挑战者计划第四期：通用目标检测的对抗攻击](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247487060&idx=1&sn=ff588cb88ab50d7d9c580b6ca812d09c&chksm=96c42391a1b3aa87d2e250598f93d7dcc357da890436248ae97e69549723f8e4a50288e3bf40&scene=21#wechat_redirect) 13 | - [【2022-11-05】大湾区算法大赛“路侧3D感知赛题” 冠军技术方案分享](https://mp.weixin.qq.com/s/HJay_AyencGNYredMMqpfQ) 14 | - [【2023-02-12】竞赛总结：On Cloud 遥感云层检测](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247500906&idx=2&sn=1aaaa338a9462e19088ead5e42f78d03&chksm=96c7e9afa1b060b944a7405bb653215d116acfcbb650e28c38fd3fa5504228030c73e59d4a7d#rd) 15 | - [【2022-09-04】Waymo检测榜一！MPPNet：基于Proxy Point的多帧时序3D点云目标检测框架](https://mp.weixin.qq.com/s/DclhQBgx2HoiGK8DhWfkLA) 16 | - [【2022-08-23】户外违规广告牌识别冠军方案｜ECV 2022](https://mp.weixin.qq.com/s/Z6ZSOtzwE4aiRkSDhjoDhw) 17 | - [【2022-08-21】街道垃圾识别冠军方案解读｜ECV2022](https://mp.weixin.qq.com/s/Z1WRA4YffjAagnCV8ctB2g) 18 | - [【2022-08-12】ECV2022｜沿街晾晒识别冠军方案](https://mp.weixin.qq.com/s/SmdDxqMB5TAfI7-zD5AaUw) 19 | - 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[【2023-07-01】【三等奖方案】基于TPU平台实现人群密度估计赛题「innovation」团队解题思路](http://mp.weixin.qq.com/s?__biz=MzI5ODQxMTk5MQ==&mid=2247516277&idx=1&sn=bf4f753a5ed42a1a700ba0bdda2ed8b6&chksm=eca4f2cddbd37bdb60094511fd412a4dff454279535d19c7cbc5cd2762a441f133704d40e9a3#rd) 2 | - [【2023-07-01】【三等奖方案】基于TPU平台实现人群密度估计赛题「加速器」团队解题思路](http://mp.weixin.qq.com/s?__biz=MzI5ODQxMTk5MQ==&mid=2247516301&idx=1&sn=301dce2fbf4502312b696e868b9e06b5&chksm=eca4f235dbd37b23cec654df4d8b4b478c85b6011b7dbf993f5910b09cfa3ea375807e4f1fbd#rd) 3 | - [【2023-07-01】【二等奖方案】基于TPU平台实现人群密度估计赛题「ChaMd5-AI」团队解题思路](http://mp.weixin.qq.com/s?__biz=MzI5ODQxMTk5MQ==&mid=2247516317&idx=1&sn=9f262ede522d7c3b8b71b22930dc4001&chksm=eca4f225dbd37b33f174f52db5ec2f71c5bc7f2565f4034374ad8679e9ef41475587117485eb#rd) 4 | - [【2023-06-16】【一等奖解题思路】基于雷达数据的航迹实时关联与轨迹融合任务赛题](http://mp.weixin.qq.com/s?__biz=MzI5ODQxMTk5MQ==&mid=2247515796&idx=1&sn=1472be4ece893fdae068fcb813c7fd5f&chksm=eca4cc2cdbd3453a0ea3a24d9679ef6029d608bf904fe8cd328b31330afa32cc3b9a90cf493b#rd) -------------------------------------------------------------------------------- /CV/综合类型.md: -------------------------------------------------------------------------------- 1 | - [【2024-01-07】客流统计赛题冠军方案解读-2023长三角（芜湖）人工智能大赛](https://mp.weixin.qq.com/s/GswB8SMw3GaWBB63F9VKTw) 2 | - [【2023-07-14】ECV2023｜仪表盘读数识别冠军方案解读](https://mp.weixin.qq.com/s/VTVOk7GXA_XsNA3xU8lXRg) -------------------------------------------------------------------------------- /CV/自动驾驶.md: -------------------------------------------------------------------------------- 1 | - [【2024-07-22】CVPR24 Navsim冠军方案｜告别单一轨迹，Hydra-MDP引领端到端自动驾驶规划新航向](https://mp.weixin.qq.com/s/so4u42PUzW-hToPbT9F25g) 2 | - [【2023-07-04】CVPR23 | 3D Occupancy 预测冠军方案：FB-OCC](https://mp.weixin.qq.com/s/dDyZe8rx9mXBwkycUQLiTA) 3 | - [【2023-06-28】CVPR2023 Workshop | 在线高精地图构建挑战赛第一名方案！](https://mp.weixin.qq.com/s/kUPmRmyNhEQZycp3BRdlhw) 4 | - [【2023-06-19】英伟达和南大提出FB-OCC夺得了CVPR自动驾驶挑战赛冠军？](https://mp.weixin.qq.com/s/8YGrAD95WuOB84c3Kmm-OA) 5 | -------------------------------------------------------------------------------- /CV/行为识别.md: -------------------------------------------------------------------------------- 1 | - [【2023-03-17】全国人工智能大赛 行人重识别(Person ReID)赛项 季军团队方案分享](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247501265&idx=1&sn=2c75ef0faa737d90340f3e91826504b0&chksm=96c7e814a1b06102fcdc12a8b74197df87e45e4a60633a6270f49d48d44e4f2d401a987d7730#rd) 2 | - [【2022-08-10】CVPR 2022 ActivityNet竞赛冠军：中科院深圳先进院提出高低分双模态行为识别框架](https://mp.weixin.qq.com/s/9_5RvQE7z5Rhrg4_Ux7sMQ) 3 | -------------------------------------------------------------------------------- /CV/视频分割.md: -------------------------------------------------------------------------------- 1 | - [【2024-06-20】CVPR竞赛冠军方案：运动表达引导视频分割方法，代码及技术报告均已开源](https://mp.weixin.qq.com/s/_YF1aXvPvA1DfnrzCRWHUw) 2 | - [【2024-06-20】CVPR竞赛冠军方案：复杂场景下的视频对象分割](https://mp.weixin.qq.com/s/esJ-JPgAGzH_JcmTmnTRSA) -------------------------------------------------------------------------------- /CV/视频理解.md: -------------------------------------------------------------------------------- 1 | - [【2024-06-07】CVPR 2024 视频场景解析挑战赛第一名方案详解](https://mp.weixin.qq.com/s/YDeRehdMBk_5z8AtUpPRwQ) 2 | - [【2023-06-19】微信视觉团队斩获CVPR Video Similarity大赛双赛道冠军，视频号也用到了这些技术](https://mp.weixin.qq.com/s/gkJaAfCUJQ4Na-1oO5Ht5w) 3 | - [【2023-03-03】竞赛总结：爱奇艺视频版权检测](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247501162&idx=1&sn=c93499c60e3f97d82b90b43157994c94&chksm=96c7e8afa1b061b9092870d9d8ae38b3defb052bb05625fb49bbf9c28091128b9d202d58300f#rd) 4 | - 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[【2023-05-19】【二等奖方案】基于文心NLP大模型的阅读理解可解释评测「课程大作业」团队思路](http://mp.weixin.qq.com/s?__biz=MzI5ODQxMTk5MQ==&mid=2247515059&idx=1&sn=ac019c49f55c6f2a272196f310ba8a98&chksm=eca4c90bdbd3401d700524273bf428548a1ab2718c3f6aa221747154cbf75d96726c8d0cc0c2#rd) 23 | - [【2023-05-12】【三等奖方案】基于文心NLP大模型的阅读理解可解释评测「BraveHeart」团队思路](http://mp.weixin.qq.com/s?__biz=MzI5ODQxMTk5MQ==&mid=2247514909&idx=1&sn=5c12ef4dfa62e9364b209fd3ad89384c&chksm=eca4c9a5dbd340b3997999eb826e24229e5e5d6edd6e23ffa38204da625cc46dc610d3bbf803#rd) 24 | - [【2023-05-12】【三等奖方案】基于文心NLP大模型的阅读理解可解释评测「linzw」团队思路](http://mp.weixin.qq.com/s?__biz=MzI5ODQxMTk5MQ==&mid=2247515035&idx=1&sn=09435cc2d0487a87e1755a79bce981e7&chksm=eca4c923dbd340358ff67a2076cb79a9a462b9ffa6d4d7559c9ab6b7671d5f4daa06f6a2f1d4#rd) 25 | - [【2023-05-12】【二等奖方案】基于文心NLP大模型的阅读理解可解释评测「Prompt筝TrustAI」团队思路](https://mp.weixin.qq.com/s/Z0eI5fwhWvwP-tk5iIIopg) 26 | - [【2023-05-10】AIWIN中文网页自动导航 基础思路分享](https://mp.weixin.qq.com/s/8FNjYdZbzmdEz45g6w3ZyA) 27 | - 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[【2023-07-01】【三等奖方案】工业知识图谱关系抽取-高端装备制造知识图谱自动化构建「roudancongji」团队思路](http://mp.weixin.qq.com/s?__biz=MzI5ODQxMTk5MQ==&mid=2247516200&idx=1&sn=cf7f97a753cb5144289cf2f10a9d715d&chksm=eca4f290dbd37b86f6e558378c31e5226796abcc5a64023bc487f110fa540c4a43c37e63b6f3#rd) 108 | - [【2023-07-01】【二等奖方案】工业知识图谱关系抽取-高端装备制造知识图谱自动化构建「翼智团」团队思路](http://mp.weixin.qq.com/s?__biz=MzI5ODQxMTk5MQ==&mid=2247516248&idx=1&sn=898244ef7c5002c42dea02f5752b792b&chksm=eca4f2e0dbd37bf6f13ca7dcaa0ece89c4a39284e9f5b6300a1b07ebf21d9bb1e9b9dc32c900#rd) 109 | - [【2023-07-01】【二等奖方案】工业知识图谱关系抽取-高端装备制造知识图谱自动化构建「反卷局来围观」团队思路](http://mp.weixin.qq.com/s?__biz=MzI5ODQxMTk5MQ==&mid=2247516249&idx=1&sn=a8a980979ab6c46df78615a8609cf2e4&chksm=eca4f2e1dbd37bf780cacdd12d5b28085ff9b4630c7d588f8d4fb607536ae3e236b6c1ffb019#rd) 110 | - [【2023-07-01】【一等奖方案】工业知识图谱关系抽取-高端装备制造知识图谱自动化构建「龙盈战队」团队思路](http://mp.weixin.qq.com/s?__biz=MzI5ODQxMTk5MQ==&mid=2247516250&idx=1&sn=8ab13b441dddf67fc15bc4f932973e59&chksm=eca4f2e2dbd37bf441834f8b89637fa42aef2e738c04e44f8b89079f4d7f36512074cf999195#rd) 111 | - [【2023-07-01】2023 DCIC欺诈风险识别 Top1方案！](http://mp.weixin.qq.com/s?__biz=Mzk0NDE5Nzg1Ng==&mid=2247507781&idx=1&sn=7d1a41cc3277a766d8222661c4658f3e&chksm=c32ac6caf45d4fdc89b7bafb19c3ba9199b4f93fa81ad6a215327864283229eef904091796e7#rd) 112 | - [【2023-06-28】具身AI的实验：一个团队的Alexa Prize夺冠历程](https://mp.weixin.qq.com/s/1quvoqMuIqwGUD7xhoWILQ) 113 | - [【2023-06-23】2023年第六届工业互联网大赛液晶面板赛道冠军方案(带源代码)](http://mp.weixin.qq.com/s?__biz=Mzk0NDE5Nzg1Ng==&mid=2247507770&idx=1&sn=ef1c86d46567227a5b3cc68865af5e5c&chksm=c32ac6b5f45d4fa342f37833bb733f5d6260b128a2f1099be86d4c63066a9bdbaf7fc3d153e6#rd) 114 | - 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/README.md: -------------------------------------------------------------------------------- 1 | ## AI比赛经验帖子 & 训练和测试技巧帖子集锦 2 | 3 | > 从他人比赛经验中，总是可以学到很多东西 4 | 5 | 欢迎您贡献看到的AI比赛经验帖子，可以通过点击[🌈贡献AI比赛经验帖子](https://www.wjx.cn/vm/PRivSRh.aspx#)，或扫码填写。(当然直接提PR更欢迎) 6 | 7 | ![收集表](https://user-images.githubusercontent.com/28639377/222939092-5e118d92-0010-4ee1-870a-5891d6b07e66.png?width=15vw) 8 | 9 | ### 赛事经验帖 10 | 11 | - CV赛事经验帖 12 | - [图像分类](./CV/图像分类.md) 13 | - [目标检测](./CV/目标检测.md) 14 | - [OCR](./CV/OCR.md) 15 | - [多模态](./CV/多模态.md) 16 | - [图像分割](./CV/图像分割.md) 17 | - [对抗攻击](./CV/对抗攻击.md) 18 | - [比赛技巧](./CV/比赛技巧.md) 19 | - [关键点检测识别](./CV/关键点检测识别.md) 20 | - [视频理解](./CV/视频理解.md) 21 | - [图像篡改检测](./CV/图像篡改检测.md) 22 | - [AI算法](./CV/AI算法.md) 23 | - [图像压缩](./CV/图像压缩.md) 24 | - [图像视频修复 | 增强 | 重建 | 超分](./CV/图像视频修复_增强_重建_超分.md) 25 | - [行为识别](./CV/行为识别.md) 26 | - [人脸识别](./CV/人脸识别.md) 27 | - [图像检索](./CV/图像检索.md) 28 | - [综合类型](./CV/综合类型.md) 29 | - [自动驾驶](./CV/自动驾驶.md) 30 | - [图像检索](./CV/图像检索.md) 31 | - [目标计数](./CV/目标计数.md) 32 | - [其他](./CV/其他.md) 33 | - [NLP赛事经验帖](./NLP.md) 34 | - [语音赛事经验帖](./Speech.md) 35 | - [Others](./Others.md) (推荐系统|数据挖掘|知识图谱|图网络|多智能体决策|蛋白质结构预测|智能机器人等) 36 | - [比赛经验分享](./Interview.md) 37 | - [语言大模型比赛经验分享](./LLM.md) 38 | 39 | ### 竞赛文章公众号 40 | 41 | | **公众号名称** | **简单介绍** | 42 | |:---:|:---| 43 | |Kaggle竞赛宝典| 数据竞赛Top方案，竞赛黑科技，竞赛到入职的一些感想。| 44 | | DataFountain | DF平台 \(www\.datafountain\.cn\) 官方公众号，有趣有料的大数据社群，从今天起，爱上这碗数据汤。| 45 | | Datawhale | 一个专注于AI领域的开源组织，汇聚了众多优秀学习者，愿景：for the learnner,和学习者一起成长。| 46 | | 世界AI创新大赛 | 世界人工智能创新大赛（AIWIN），是世界人工智能大会的组成部分之一。| 47 | 48 | ### 其他信息汇总平台 49 | 50 | | **平台名称** | **简单介绍** | 51 | |:---:|:---| 52 | |[Kaggle Solutions](https://farid.one/kaggle-solutions/)|列出了过去Kaggle比赛中顶尖选手分享的几乎所有可用解决方案和想法。| 53 | |[nlp-competitions-list-review](https://github.com/zhpmatrix/nlp-competitions-list-review)|复盘所有NLP比赛的TOP方案，只关注NLP比赛| 54 | 55 | ### 竞赛平台 56 | 57 | | **平台名称** | **简单介绍** | 58 | |:---:|:---| 59 | |[CompHub](https://comphub.notion.site/comphub/CompHub-c353e310c8f84846ace87a13221637e8) | 实时聚合国内外技术比赛，一个页面，全知道。 | 60 | |[科大讯飞 A\.I\.开发者大赛](https://challenge.xfyun.cn/) | 全平台比赛信息汇总平台，涵盖CV/NLP/Speech/数据挖掘等比赛，短平快 | 61 | | [Coggle数据科学](https://coggle.club/) | 全平台比赛信息汇总平台 | 62 | | [DataFountain](https://www.datafountain.cn/competitions) | 涉及CV、NLP、数据挖掘等全面的比赛平台 | 63 | | [和鲸社区](https://www.heywhale.com/home/competitions) | 综合性比赛平台，侧重数据科学、机器人一些 | 64 | | [FlyAI](https://www.flyai.com/) | 涉及视觉计算、自然语言处理、语音、结构化数据等 | 65 | | [CodaLab](https://competitions.codalab.org/competitions) | 多数为学术型的竞赛平台，包括一些学术会议的附赛 | 66 | | [天池](https://tianchi.aliyun.com/competition/gameList/activeList) | 比较有名，不作过多说明 | 67 | | [同花顺算法平台](http://contest.aicubes.cn/#/) | 来源于真实场景业务问题，CV\\NLP\\语音都有涉及 | 68 | | [Kaggle](https://www.kaggle.com/competitions) | 比较有名，不作过多说明 | 69 | | [AIWIN](http://ailab.aiwin.org.cn/competitions/) | 一个比较小众的平台，涉及CV较多一些，每年有两次\(春季赛\|秋季赛\) | 70 | 71 | ### [贡献者汇总](https://github.com/SWHL/AI-Competition-Collections/issues/2) 72 | -------------------------------------------------------------------------------- /Speech.md: -------------------------------------------------------------------------------- 1 | # 语音赛事经验帖 2 | > 3 | > 从他人比赛经验中，总是可以学到很多东西 4 | --- 5 | 6 | - [【2024-09-03】IJCAI-信也科技杯全球AI大赛亚军方案-伪造语音检测](https://mp.weixin.qq.com/s/Z-0381pxQIop57wXS3iHww) 7 | - [【2023-12-09】语音方言距离识别](https://mp.weixin.qq.com/s/aAlQzVXzQYfeT8NxsxrbsQ) 8 | - [【2023-07-01】BirdCLEF 2023比赛总结。](http://mp.weixin.qq.com/s?__biz=Mzk0NDE5Nzg1Ng==&mid=2247507790&idx=1&sn=4020c94e864c78093f87be14a9deb966&chksm=c32ac6c1f45d4fd7ce7869ec5f7624236648d263322a35828654bba7669b748a586e44ba8ebc#rd) 9 | - [【2023-06-23】Kaggle比赛总结：BirdCLEF 2023](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247501856&idx=1&sn=50450d96fcffea84ef2c474ae6be627d&chksm=96c7e5e5a1b06cf3fc7cd73758183ea2f09c4877329cb3dce94858c58c1b69ccde4897886c00#rd) 10 | - [【2023-01-04】竞赛总结：Cornell Birdcall比赛复盘](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247486716&idx=1&sn=c197333bb2978af65803268abcef025d&chksm=96c42139a1b3a82f4d8a050ff5935bdd636db758d36e761dea6ae6704729786d265ca44d0b20&scene=21#wechat_redirect) 11 | - [【2023-01-04】CCF音频分类赛题0.9+思路分享](http://mp.weixin.qq.com/s?__biz=MzIwNDA5NDYzNA==&mid=2247488141&idx=1&sn=4150b6c28245d553d2af3a274aa6b47f&chksm=96c43f48a1b3b65e9ef67f88b8d61952bfe8f1fef01ed79b54dbc0eff1463c6af7d5297f9095&scene=21#wechat_redirect) 12 | - [【2021-12-07】ICASSP2021 M2VoC挑战赛报告会：高分队伍及评审分享回顾（附PPT）](https://blog.51cto.com/u_15282126/2946959) 13 | - [【2021-12-07】DCASE2020大赛的声学场景分类任务各个优秀参赛方案！](https://flashgene.com/archives/141126.html) 14 | - [【2021-12-07】10小时训练数据打造多语种语音识别新高度](https://cloud.tencent.com/developer/article/1770023) 15 | - [【2021-12-07】【赛事分享】 智源家庭场景中文语音数据集挑战赛-基于KALDI的语音识别基线](https://www.bilibili.com/video/av95030153/) 16 | - [【2021-12-07】新网杯top1方案：手把手构建中文语音合成模型！](https://mp.weixin.qq.com/s/xRqvXYtWqY6HbDawmxBpbw) 17 | -------------------------------------------------------------------------------- /scripts/args.yaml: -------------------------------------------------------------------------------- 1 | 2 | URL: https://mp.weixin.qq.com/cgi-bin/appmsg 3 | 4 | FakeID: 5 | Coggle数据科学: MzIwNDA5NDYzNA== 6 | DataFountain: MzI5ODQxMTk5MQ== 7 | BTBU科协: MzU5NjcwODkyMg== 8 | ChallengeHub: MzAxOTU5NTU4MQ== 9 | kaggle竞赛宝典: Mzk0NDE5Nzg1Ng== 10 | 数据派THU: MzI1MjQ2OTQ3Ng== 11 | 12 | Type: 13 | Others: 14 | md_path: ../Others.md 15 | keywords: 16 | - 赛题总结 17 | - 竞赛总结 18 | - 比赛总结 19 | - 图数据 20 | - 风险趋势预测 21 | - 异常行为分析 22 | - 关联融合计算 23 | - 容量预测 24 | - 搜索算法赛 25 | - 意图识别 26 | - 赛后总结 27 | - 建模大赛 28 | - 方案分享 29 | - 价格预测 30 | - 风险预测 31 | - 异常检测 32 | - 金牌方案 33 | - 冠军方案 34 | - 序列预测 35 | - 优胜方案总结 36 | - Top方案总结 37 | - 提分经验 38 | - 方案解读 39 | - 答辩思路分享 40 | - top1 41 | - top2 42 | - top3 43 | - top4 44 | - top5 45 | - 解题思路 46 | - 奖方案 47 | - 大数据挑战赛 48 | invalid_keywords: 49 | - 赛题解析 50 | - 综述 51 | - 百万奖金 52 | - baseline 53 | - 报名 54 | - kaggle知识点 55 | - 80+ 56 | - 时间序列异常检测的方法总结 57 | - 时序异常检测 Anomaly transformer 58 | - 标准回顾 59 | - 圆满收官 60 | NLP: 61 | md_path: ../NLP.md 62 | keywords: 63 | - NLP 64 | - 情感识别 65 | - 问题匹配 66 | - LSTM 67 | - 文本分类 68 | - 文本匹配 69 | - 文本智能校对 70 | invalid_keywords: 71 | - NLP基础 72 | - 学NLP 73 | - 技巧实战 74 | - 知识点 75 | - 微调技巧 76 | - 深入LSTM神经网络的时间序列预测 77 | 78 | Interview: 79 | md_path: ../Interview.md 80 | keywords: 81 | - AI竞赛经验 82 | 83 | LLM: 84 | md_path: ../LLM.md 85 | keywords: 86 | - 大模型 87 | - glm 88 | - 文心一言 89 | 90 | # CV: 91 | # md_path: ../README.md 92 | # keywords: 93 | # - 图像识别 94 | # 95 | -------------------------------------------------------------------------------- /scripts/convert.py: -------------------------------------------------------------------------------- 1 | # -*- encoding: utf-8 -*- 2 | # @Author: SWHL 3 | # @Contact: liekkaskono@163.com 4 | from datetime import datetime 5 | from pathlib import Path 6 | 7 | import yaml 8 | 9 | 10 | class ConvertMDToHugo: 11 | def __init__(self): 12 | self.root_dir = Path(__file__).resolve().parent.parent 13 | self.save_dir = self.root_dir / "content" 14 | 15 | self.cur_date = datetime.strftime(datetime.now(), "%Y-%m-%d") 16 | 17 | cur_dir = Path(__file__).resolve().parent 18 | config = self.read_yaml(cur_dir / "convert.yaml") 19 | 20 | global_config = config.get("Global") 21 | self.author = global_config.get("Author") 22 | self.author_email = global_config.get("AuthorEmail") 23 | self.children = global_config.get("Children") 24 | 25 | self.home_config = config.get("Home") 26 | self.cv_config = config.get("CV") 27 | self.type_list = [ 28 | config.get("NLP"), 29 | config.get("Others"), 30 | config.get("Speech"), 31 | config.get("Interview"), 32 | config.get("LLM"), 33 | ] 34 | 35 | def __call__( 36 | self, 37 | ): 38 | self.convert_cv() 39 | for one_type in self.type_list: 40 | self.convert_one_type(one_type) 41 | self.create_home_index_md() 42 | 43 | def convert_one_type(self, config): 44 | title = config.get("title") 45 | menu_title = config.get("menuTitle") 46 | weight = config.get("weight") 47 | badge_list = config.get("badge_list", None) 48 | 49 | md_content = [ 50 | "---", 51 | f'title: "{title}"', 52 | f'menuTitle: "{menu_title}"', 53 | f"date: {self.cur_date}", 54 | "draft: false", 55 | f"weight: {weight}", 56 | 'LastModifierDisplayName: "SWHL"', 57 | 'LastModifierEmail: "liekkaskono@163.com"', 58 | "---", 59 | " ", 60 | "> 从他人比赛经验中，总是可以学到很多东西", 61 | " ", 62 | ] 63 | 64 | if badge_list: 65 | for badge in badge_list: 66 | badge_shortcut = f'{{{{% badge style="info" icon=" " title=" " %}}}}{badge}{{{{% /badge %}}}}' 67 | md_content.append(badge_shortcut) 68 | md_content.append(" ") 69 | md_content.extend(["---", " "]) 70 | 71 | ori_md_path = self.root_dir / f"{menu_title}.md" 72 | ori_md_data = self.read_txt(ori_md_path) 73 | 74 | short_line_idx = ori_md_data.index("---") 75 | ori_md_data = ori_md_data[short_line_idx + 1 :] 76 | 77 | save_md_dir = self.save_dir / menu_title 78 | self.mkdir(save_md_dir) 79 | save_md_path = save_md_dir / "_index.md" 80 | 81 | md_content.extend(ori_md_data) 82 | self.write_txt(save_md_path, md_content) 83 | 84 | def convert_cv( 85 | self, 86 | ): 87 | cur_cv_dir = self.root_dir / "CV" 88 | save_cv_dir = self.save_dir / "CV" 89 | self.mkdir(save_cv_dir) 90 | 91 | cv_weight_dict = self.cv_config.get("cv_weight_dict") 92 | 93 | cv_list = list(cur_cv_dir.iterdir()) 94 | for cv_path in cv_list: 95 | md_name = cv_path.stem 96 | md_content = self.read_txt(cv_path) 97 | 98 | # 如果没有在预定义字典里，则取已有权重最大值+1 99 | weight = cv_weight_dict.get(md_name, max(cv_weight_dict.values()) + 1) 100 | 101 | # 定义前缀 102 | prefix_list = [ 103 | "---", 104 | f'title: "{md_name}"', 105 | f"date: {self.cur_date}", 106 | "draft: false", 107 | f"weight: {weight}", 108 | f'LastModifierDisplayName: "{self.author}"', 109 | f'LastModifierEmail: "{self.author_email}"', 110 | "---", 111 | " ", 112 | ] 113 | 114 | prefix_list.extend(md_content) 115 | save_path = save_cv_dir / f"{md_name}.md" 116 | self.write_txt(save_path, prefix_list) 117 | 118 | self.create_cv_index_md(save_cv_dir / "_index.md") 119 | 120 | def create_cv_index_md(self, save_path: str): 121 | title = self.cv_config.get("title") 122 | weight = self.cv_config.get("weight") 123 | 124 | prefix_content = [ 125 | "---", 126 | f'title: "{title}"', 127 | 'menuTitle: "CV"', 128 | f"weight: {weight}", 129 | "---", 130 | " ", 131 | self.children, 132 | " ", 133 | ] 134 | 135 | self.write_txt(str(save_path), prefix_content) 136 | 137 | def create_home_index_md(self): 138 | archetype = self.home_config.get("archetype") 139 | title = self.home_config.get("title") 140 | start_key = self.home_config.get("start_key") 141 | end_key = self.home_config.get("end_key") 142 | 143 | prefix_content = [ 144 | "---", 145 | f'archetype: "{archetype}"', 146 | f'title: "{title}"', 147 | "---", 148 | " ", 149 | self.children, 150 | " ", 151 | ] 152 | 153 | readme_path = self.root_dir / "README.md" 154 | ori_readme = self.read_txt(readme_path) 155 | 156 | # 找到竞赛公众号的索引 157 | start_idx, end_idx = 0, 0 158 | for i, v in enumerate(ori_readme): 159 | if start_key in v: 160 | start_idx = i 161 | 162 | if end_key in v: 163 | end_idx = i 164 | home_content = ori_readme[start_idx : end_idx + 1] 165 | home_content = [ 166 | v.replace("###", "######") if "###" in v else v for v in home_content 167 | ] 168 | prefix_content.extend(home_content) 169 | 170 | save_path = self.save_dir / "_index.md" 171 | self.write_txt(save_path, prefix_content) 172 | 173 | @staticmethod 174 | def mkdir(dir_path): 175 | Path(dir_path).mkdir(parents=True, exist_ok=True) 176 | 177 | @staticmethod 178 | def read_txt(txt_path: str) -> list: 179 | if not isinstance(txt_path, str): 180 | txt_path = str(txt_path) 181 | 182 | with open(txt_path, "r", encoding="utf-8") as f: 183 | data = list(map(lambda x: x.rstrip("\n"), f)) 184 | return data 185 | 186 | @staticmethod 187 | def write_txt(save_path: str, content: list, mode="w"): 188 | if not isinstance(save_path, str): 189 | save_path = str(save_path) 190 | 191 | if isinstance(content, str): 192 | content = [content] 193 | with open(save_path, mode, encoding="utf-8") as f: 194 | for value in content: 195 | f.write(f"{value}\n") 196 | 197 | @staticmethod 198 | def read_yaml(yaml_path): 199 | with open(yaml_path, "rb") as f: 200 | data = yaml.load(f, Loader=yaml.Loader) 201 | return data 202 | 203 | 204 | if __name__ == "__main__": 205 | converter = ConvertMDToHugo() 206 | converter() 207 | -------------------------------------------------------------------------------- /scripts/convert.yaml: -------------------------------------------------------------------------------- 1 | Global: 2 | Author: SWHL 3 | AuthorEmail: liekkaskono@163.com 4 | Children: '{{% children sort="weight" %}}' 5 | 6 | Home: 7 | archetype: home 8 | title: AI比赛经验帖子集锦 9 | start_key: '### 竞赛文章公众号' 10 | end_key: 'AIWIN' 11 | 12 | CV: 13 | title: 计算机视觉比赛经验帖 14 | weight: 1 15 | cv_weight_dict: 16 | 图像分类: 1 17 | 目标检测: 2 18 | OCR: 3 19 | 多模态: 4 20 | 图像分割: 5 21 | 对抗攻击: 6 22 | 比赛技巧: 7 23 | 关键点检测识别: 8 24 | 视频理解: 9 25 | 图像篡改检测: 10 26 | AI算法: 11 27 | 图像压缩: 12 28 | 图像视频修复_增强_重建_超分: 13 29 | 行为识别: 14 30 | 人脸识别: 15 31 | 图像检索: 16 32 | 零样本异常检测: 17 33 | 自动驾驶: 18 34 | 35 | NLP: 36 | title: NLP赛事经验帖 37 | menuTitle: NLP 38 | weight: 2 39 | badge_list: 40 | - 情感识别 41 | - 文本分类 42 | - 文本提取 43 | - 机器翻译 44 | - 命名体识别 45 | - 文本匹配 46 | - 文本挖掘 47 | 48 | Others: 49 | title: 其他 50 | menuTitle: Others 51 | weight: 4 52 | badge_list: 53 | - 推荐系统 54 | - 数据挖掘 55 | - 知识图谱 56 | - 图网络 57 | - 多智能体决策 58 | - 蛋白质结构预测 59 | - 智能机器人 60 | - 序列预测 61 | 62 | Speech: 63 | title: 语音赛事经验帖 64 | menuTitle: Speech 65 | weight: 3 66 | badge_list: 67 | - 语音识别 68 | - 音频分类 69 | - 语音合成 70 | 71 | Interview: 72 | title: 比赛团队访谈 73 | menuTitle: Interview 74 | weight: 5 75 | 76 | LLM: 77 | title: 语言大模型比赛经验帖 78 | menuTitle: LLM 79 | weight: 6 -------------------------------------------------------------------------------- /scripts/spider_wechat_account.py: -------------------------------------------------------------------------------- 1 | # -*- encoding: utf-8 -*- 2 | # @Author: SWHL 3 | # @Contact: liekkaskono@163.com 4 | # modified from https://zhuanlan.zhihu.com/p/48402858 5 | import argparse 6 | import random 7 | import time 8 | from datetime import datetime 9 | from pathlib import Path 10 | from typing import List, Union 11 | 12 | import requests 13 | import yaml 14 | from fake_useragent import UserAgent 15 | 16 | 17 | class SpiderArticleWeChat: 18 | def __init__(self, cookie, token) -> None: 19 | self.args = self.read_yaml("args.yaml") 20 | 21 | self.URL = self.args["URL"] 22 | self.nlp_keywords = self.args["Type"]["NLP"]["keywords"] 23 | self.nlp_invaild_keywords = self.args["Type"]["NLP"]["invalid_keywords"] 24 | 25 | self.others_keywords = self.args["Type"]["Others"]["keywords"] 26 | self.others_invalid_keywords = self.args["Type"]["Others"]["invalid_keywords"] 27 | self.interview_keywords = self.args["Type"]["Interview"]["keywords"] 28 | 29 | self.md_dict = { 30 | 0: self.args["Type"]["NLP"]["md_path"], 31 | 1: self.args["Type"]["Others"]["md_path"], 32 | 2: self.args["Type"]["Interview"]["md_path"], 33 | } 34 | 35 | self.account_fakeid = self.args["FakeID"] 36 | 37 | self.headers = {"Cookie": cookie, "User-Agent": str(str(UserAgent().random))} 38 | self.params = { 39 | "action": "list_ex", 40 | "begin": "0", 41 | "count": "5", 42 | "fakeid": "MzIwNDA5NDYzNA==", 43 | "type": "9", 44 | "token": token, 45 | "lang": "zh_CN", 46 | "f": "json", 47 | "ajax": "1", 48 | } 49 | self.cur_date = datetime.strftime(datetime.now(), "%Y-%m-%d") 50 | self.have_valid_nums = 0 51 | 52 | # 读取CV中所有md文件，获得比赛列表，用于判断新抓取的是否已经存在。 53 | root_dir = Path(__file__).resolve().parent.parent 54 | cv_dir = root_dir / "CV" 55 | cv_mds = list(cv_dir.iterdir()) 56 | cv_links = [self.read_txt(str(cv_path)) for cv_path in cv_mds] 57 | self.all_cv_links = sum(cv_links, []) 58 | 59 | def __call__(self, spider_pages=3): 60 | begin_list = [str(i) for i in range(0, spider_pages * 5, 5)] 61 | 62 | for one_account, fake_id in self.account_fakeid.items(): 63 | self.params["fakeid"] = fake_id 64 | 65 | spider_content_list = [] 66 | for begin in begin_list: 67 | self._random_sleep() 68 | 69 | self.params["begin"] = begin 70 | msg_list = self._get_url_response() 71 | 72 | if msg_list: 73 | spider_content_list.extend(msg_list) 74 | self.process_content(spider_content_list) 75 | 76 | if self.have_valid_nums > 0: 77 | return True 78 | return False 79 | 80 | def process_content(self, content_list): 81 | for one_line in content_list: 82 | create_time, title, link = one_line 83 | 84 | # 根据title来决定写入哪个md 85 | idx = self._which_data(title) 86 | if idx is None: 87 | continue 88 | 89 | # 读取指定md文件的已有数据 90 | md_path = self.md_dict[idx] 91 | already_data = self.read_txt(md_path) 92 | 93 | # 按 --- 来切分为两部分 94 | splid_idx = already_data.index("---") 95 | head = already_data[: splid_idx + 1] 96 | left = already_data[splid_idx + 1 :] 97 | 98 | # 当前抓取到的文章没有出现在已有列表中 99 | left += self.all_cv_links 100 | 101 | if not self.is_appear(title, left): 102 | competition_info = f"- [【{self.cur_date}】{title}]({link})" 103 | 104 | head.append(competition_info) 105 | self.write_txt(md_path, head + left) 106 | self.have_valid_nums += 1 107 | 108 | def _get_url_response( 109 | self, 110 | ): 111 | resp = requests.get( 112 | self.URL, 113 | headers=self.headers, 114 | params=self.params, 115 | verify=False, 116 | timeout=60, 117 | ) 118 | msg = resp.json() 119 | if "app_msg_list" in msg: 120 | res = [] 121 | for item in msg["app_msg_list"]: 122 | create_time = self._get_time(item["create_time"]) 123 | title, link = item.get("title"), item.get("link") 124 | res.append([create_time, title, link]) 125 | return res 126 | return None 127 | 128 | def _random_sleep(self, sleep_second: int = 10): 129 | time.sleep(random.randint(1, sleep_second)) 130 | 131 | def _get_time(self, seconds_str): 132 | create_time = datetime.fromtimestamp(float(seconds_str)) 133 | article_date = datetime.strftime(create_time, "%Y-%m-%d") 134 | return article_date 135 | 136 | def _which_data(self, title: str) -> int: 137 | if not self.is_contain_str( 138 | title, self.nlp_invaild_keywords 139 | ) and self.is_contain_str(title, self.nlp_keywords): 140 | return 0 141 | 142 | if not self.is_contain_str( 143 | title, self.others_invalid_keywords 144 | ) and self.is_contain_str(title, self.others_keywords): 145 | return 1 146 | 147 | if self.is_contain_str(title, self.interview_keywords): 148 | return 2 149 | return None 150 | 151 | def read_md_data_split(self, md_path): 152 | already_data = self.read_txt(md_path) 153 | idx = already_data.index("---") 154 | first, second = already_data[: idx + 1], already_data[idx + 1 :] 155 | return first, second 156 | 157 | @staticmethod 158 | def read_txt(txt_path: str) -> list: 159 | with open(txt_path, "r", encoding="utf-8") as f: 160 | data = list(map(lambda x: x.rstrip("\n"), f)) 161 | return data 162 | 163 | @staticmethod 164 | def write_txt(save_path: str, content: list, mode="w"): 165 | if isinstance(content, str): 166 | content = [content] 167 | with open(save_path, mode, encoding="utf-8") as f: 168 | for value in content: 169 | f.write(f"{value}\n") 170 | 171 | @staticmethod 172 | def is_contain_str( 173 | sentence: str, 174 | key_words: Union[str, List], 175 | ) -> bool: 176 | """sentences中是否包含key_words中任意一个""" 177 | sentence = sentence.lower() 178 | return any(i.lower() in sentence for i in key_words) 179 | 180 | @staticmethod 181 | def is_appear(key_word: str, sentence_list: List) -> bool: 182 | """key_word是否在sentence_list中出现过""" 183 | key_word = key_word.lower() 184 | return any(key_word in sentence.lower() for sentence in sentence_list) 185 | 186 | @staticmethod 187 | def read_yaml(yaml_path): 188 | with open(yaml_path, "rb") as f: 189 | data = yaml.load(f, Loader=yaml.Loader) 190 | return data 191 | 192 | 193 | def main(args): 194 | spider = SpiderArticleWeChat(args.cookie, args.token) 195 | res = spider() 196 | if res: 197 | print(1) 198 | else: 199 | print(0) 200 | 201 | 202 | if __name__ == "__main__": 203 | parser = argparse.ArgumentParser() 204 | parser.add_argument( 205 | "--cookie", 206 | type=str, 207 | default="""RK=49MwDvMBSK; ptcz=a23d9b1a2561d2e360381c6184a138f490764fa976bc0544743b1edd3d2ce9e0; ua_id=kzAc4J4XjeTMP6UDAAAAAPsMj9BTC19udOss8TlZJCQ=; wxuin=59623090480645; mm_lang=zh_CN; pgv_pvid=1789084112; ts_uid=6233800786; _qddaz=QD.750560569830378; o_cookie=1226778264; fqm_pvqid=0b780fa5-8d7f-498d-9d51-2dfc09511b15; tvfe_boss_uuid=e5ba87a04633837f; pac_uid=1_1226778264; ts_refer=file.daihuo.qq.com/; iip=0; _qimei_uuid42=17b04142c13100801bd13bc55379b940ec8ddd28d0; _qimei_q36=; _qimei_h38=cc4fcb291bd13bc55379b9400300000f817b04; rewardsn=; wxtokenkey=777; _qimei_fingerprint=97fa8c59b463476119937acf40c14b68; _clck=3894557211|1|fgl|0; uuid=85e5a9a53d8b31b597576122e0533420; rand_info=CAESIOUJLjo9/5ILAYc9XZ5vA9NB9PenELlHnWXYJOwtl1PN; slave_bizuin=3874891165; data_bizuin=3874891165; bizuin=3874891165; data_ticket=R6zEOB5CKkSdWxBXhUBnqYKmv5ReXTfBPNawh25aPysc1t/Z1P6S9uwf1UBbd0pN; slave_sid=OVFmQWlpV0cxY2lQZ3hDeHY5WjBjeHR2TkJkaXZMMWZ6SU52Q0d0UXoxekpBN0ZnX1ZwbGViMVZvOENjeG9xTUY4Z0w5bkZKdnhHTXlDYUoyMFZxV2RESElWWnpXZ1JtWkxWbDVkRmUzSVRxcko3M3NiTFZwTW5DcDVhdEgxc3VqcG5zemwwc2VoYVR6V1ZO; slave_user=gh_c4775c62f354; xid=305308acff089cb1a7b53a6f48468861; _clsk=1346zxe|1699624956301|6|1|mp.weixin.qq.com/weheat-agent/payload/record""", 208 | ) 209 | parser.add_argument("--token", type=int, default=1347422368) 210 | args = parser.parse_args() 211 | main(args) 212 | --------------------------------------------------------------------------------