{"id":21250913,"url":"https://github.com/zeusees/hypervid","last_synced_at":"2025-04-06T02:09:48.119Z","repository":{"id":41366127,"uuid":"182356902","full_name":"zeusees/HyperVID","owner":"zeusees","description":"开源移动端车型识别  Mobile Plateform Vehicle Identification Model","archived":false,"fork":false,"pushed_at":"2020-07-09T08:46:24.000Z","size":50059,"stargazers_count":448,"open_issues_count":8,"forks_count":131,"subscribers_count":17,"default_branch":"master","last_synced_at":"2025-03-30T01:09:44.508Z","etag":null,"topics":["deep-learning","mobile-platform","vehicle-identification"],"latest_commit_sha":null,"homepage":"http://www.zeusee.com","language":"C++","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":null,"status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/zeusees.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":null,"code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null}},"created_at":"2019-04-20T03:50:39.000Z","updated_at":"2025-03-21T07:54:42.000Z","dependencies_parsed_at":"2022-08-25T10:41:38.888Z","dependency_job_id":null,"html_url":"https://github.com/zeusees/HyperVID","commit_stats":null,"previous_names":[],"tags_count":0,"template":false,"template_full_name":null,"repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zeusees%2FHyperVID","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zeusees%2FHyperVID/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zeusees%2FHyperVID/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/zeusees%2FHyperVID/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/zeusees","download_url":"https://codeload.github.com/zeusees/HyperVID/tar.gz/refs/heads/master","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":247423515,"owners_count":20936626,"icon_url":"https://github.com/github.png","version":null,"created_at":"2022-05-30T11:31:42.601Z","updated_at":"2022-07-04T15:15:14.044Z","host_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub","repositories_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories","repository_names_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repository_names","owners_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners"}},"keywords":["deep-learning","mobile-platform","vehicle-identification"],"created_at":"2024-11-21T03:39:34.369Z","updated_at":"2025-04-06T02:09:48.098Z","avatar_url":"https://github.com/zeusees.png","language":"C++","funding_links":[],"categories":[],"sub_categories":[],"readme":"# HyperVID\n基于深度学习移动端车型识别，支持超过4000种常见车辆品牌及子品牌。停车场卡口跟二手车图片TOP1准确率85%左右，TOP5 99%以上，新版优化了交通卡口的识别率，增加了车型种类。使用者可以基于我们的框架进行修改，后续我们会进一步优化模型，提高准确率与速度，并丰富类型库。\n\nVehicle Type Identification which supporting for 1776 kinds of models. Part of Data from Second-hand car trading service website.\n\n[Models Table](label.txt)\n\n\n#### 更新\n\n- 提交新版模型，对交通卡口适应性更好，支持货车、客车、卡车等。\n\n- 开放自然场景训练数据集，包含分类整理好的1776种车型，大约30万张图像。\n\n- 链接: https://pan.baidu.com/s/1ZtXvjwLzIMQodEp3SAbN8g 提取码: byhy （如果您采用该数据集或者我们的工程，请在项目中说明，谢谢。）\n\n\n#### 特性\n\n- 速度快，基于mobilenet设计，更适合移动端部署\n\n- 种类丰富，能够支持超过4000种常见车型\n\n- 准确度高，TOP1 准确率超过85%\n\n- 非常适合停车场卡口、交通卡口，结合车牌识别一同部署\n\n\n#### 识别测试\n\n- 在线体验: [http://www.zeusee.com/#/vehicle-recognition](http://www.zeusee.com/#/vehicle-recognition)\n\n- 开源项目 Android APP：[http://demo.zeusee.com/HyperVID](http://demo.zeusee.com/HyperVID)\n\n- 开源项目 Windows 测试程序: (链接: https://pan.baidu.com/s/1h7DNck9pFQo_rmg04IbXjw 提取码: 7h45)\n\n\n#### Demo Image on Android\n\n![demo](demo.png)\n\n\n\n#### Related Dataset\n\n[BIT-Vehicle Dataset](http://iitlab.bit.edu.cn/mcislab/vehicledb/)\n\n[MIT Cars Dataset](https://ai.stanford.edu/~jkrause/cars/car_dataset.html)\n\n[The CompCars dataset](http://mmlab.ie.cuhk.edu.hk/datasets/comp_cars/index.html)\n\n\n##### 欢迎加我们的交流群 QQ:737677707, 备注:HyperDL\n","project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzeusees%2Fhypervid","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Fzeusees%2Fhypervid","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Fzeusees%2Fhypervid/lists"}