{"id":29713542,"url":"https://github.com/tensoraws/vset","last_synced_at":"2025-07-24T02:38:54.753Z","repository":{"id":86492157,"uuid":"580166206","full_name":"TensoRaws/VSET","owner":"TensoRaws","description":"基于Vapoursynth的图形化视频批量压制处理工具，超分辨率，vs滤镜一应俱全。","archived":false,"fork":false,"pushed_at":"2025-07-19T18:49:05.000Z","size":51967,"stargazers_count":755,"open_issues_count":0,"forks_count":38,"subscribers_count":3,"default_branch":"main","last_synced_at":"2025-07-19T21:48:21.968Z","etag":null,"topics":["ffmpeg","python","rife","vapoursynth"],"latest_commit_sha":null,"homepage":"","language":"Vue","has_issues":true,"has_wiki":null,"has_pages":null,"mirror_url":null,"source_name":null,"license":"agpl-3.0","status":null,"scm":"git","pull_requests_enabled":true,"icon_url":"https://github.com/TensoRaws.png","metadata":{"files":{"readme":"README.md","changelog":null,"contributing":null,"funding":null,"license":"LICENSE","code_of_conduct":null,"threat_model":null,"audit":null,"citation":null,"codeowners":null,"security":null,"support":null,"governance":null,"roadmap":null,"authors":null,"dei":null,"publiccode":null,"codemeta":null,"zenodo":null}},"created_at":"2022-12-19T22:05:22.000Z","updated_at":"2025-07-19T18:49:10.000Z","dependencies_parsed_at":"2024-09-17T18:29:57.963Z","dependency_job_id":"d0c4972e-ae0a-43ac-ac76-11998ae23ef8","html_url":"https://github.com/TensoRaws/VSET","commit_stats":null,"previous_names":["tensoraws/vset"],"tags_count":2,"template":false,"template_full_name":null,"purl":"pkg:github/TensoRaws/VSET","repository_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TensoRaws%2FVSET","tags_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TensoRaws%2FVSET/tags","releases_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TensoRaws%2FVSET/releases","manifests_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TensoRaws%2FVSET/manifests","owner_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/owners/TensoRaws","download_url":"https://codeload.github.com/TensoRaws/VSET/tar.gz/refs/heads/main","sbom_url":"https://repos.ecosyste.ms/api/v1/hosts/GitHub/repositories/TensoRaws%2FVSET/sbom","host":{"name":"GitHub","url":"https://github.com","kind":"github","repositories_count":266785556,"owners_count":23983830,"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","status":"online","status_checked_at":"2025-07-24T02:00:09.469Z","response_time":99,"last_error":null,"robots_txt_status":null,"robots_txt_updated_at":null,"robots_txt_url":"https://github.com/robots.txt","online":true,"can_crawl_api":true,"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":["ffmpeg","python","rife","vapoursynth"],"created_at":"2025-07-24T02:38:48.846Z","updated_at":"2025-07-24T02:38:54.744Z","avatar_url":"https://github.com/TensoRaws.png","language":"Vue","readme":"# VSET --Video SuperResolution Encode Tool\n基于*Vapoursynth*的图形化视频批量压制处理工具。\n\n最新开源稳定版本为4.0.0版本，欢迎大家使用、反馈。有什么建议可以直接发issues，能解决的问题会尽量解决。\n（不要问为什么这么久不更新，问就是在零号大坝跑刀搬水泥。）\n软件图标还没设计好，先拿芙芙用着。\n\n\u003cimg src=\"https://github.com/user-attachments/assets/f8718b1a-acd4-4804-ae11-965d4240b222\" width=\"300\"\u003e\n\n## [💬 感谢发电名单](https://github.com/NangInShell/VSET/blob/main/Thanks.md)\n感谢发电大佬们对本项目的支持以及所有测试用户的测试支持。以上链接包含了发电者名单和项目支出详情。\n\n\u0026#x2705; **QQ交流群：711185279**\n\n发电地址:[**爱发电**](https://afdian.tv/a/NangInShell)  \n\n## 简介\nVSET是一款可以提升视频分辨率(Super-Resolution)的工具，**在Windows环境下使用**\n\n#### 特性  \n\u0026#x2705; **UI**与交互逻辑优化   \n\u0026#x2705; **动漫**视频超分辨率  \n\n## 更新信息\n### 202507更新\n\n- **50系显卡全面支持**\n- **优化输出信息，可获取运行命令，压制命令，输出视频的目标分辨率，帧数，当前运行进度，码率，速率，预计剩余时间等运行信息。**\n- **支持Nvidia，AMD，Intel显卡，A卡和I卡的速率一如既往的不忍直视。**\n- **添加可自定义的视频黑边处理参数。**\n- **软件所有设置尽可能地简易化交互逻辑**\n- **因为使用了新的开发框架，所以暂时移除了部分滤镜，AI算法和参数设置，后续会根据用户的使用情况来决定是否添加优化**\n\n## 安装\n方法一：[百度网盘](https://pan.baidu.com/s/1RtnSbkfH6-KIOqVJbbv5Uw?pwd=nang)\n\n整合包下载解压后即可使用\n![75d5177e4d4772f8a83207800f74d44b](https://github.com/user-attachments/assets/b444ca0b-e594-4b68-9e1d-c5958fd89f2f)  \n![091d4fd37c3502cbee94ca6fe60c7347](https://github.com/user-attachments/assets/978ae51d-25ad-416f-9a62-b51f590daf89)  \n\n方法二：steam在线更新  \n敬请期待，如果可以争取到steam免费发放的话，开发者本人会把软件免费发放。\n\n## 使用步骤   \n1. 设置输入视频  \n2. 设置AI算法参数  \n3. 设置滤镜参数  \n4. 设置输出参数与输出文件夹 \n5. 启动  \n\n*如果出现报错，请联系开发者。如果出现卡死请打开任务管理器终止vspipe.exe和ffmpeg.exe进程*\n\n## 软件界面\n![46abb54ac52bdc01eee634c33f6ac72d](https://github.com/user-attachments/assets/d26125e4-33ec-4cfc-ba99-d247e36d80f4)  \n![84966f8c6bfcd7c82ea17bcb6e624b28](https://github.com/user-attachments/assets/f7c9a405-2d86-4c8c-98ec-b83459c05dfb)  \n![99bce080b7189b7fa868666bf024cf29](https://github.com/user-attachments/assets/c8054072-a19f-4e3f-a483-1b5006f6bb2f)  \n![1377c43d7db5be4479c1d5616395fe94](https://github.com/user-attachments/assets/7fbc7a1f-c0fa-45d5-b388-9b7f6a6c69a2)  \n![abe803243d32c9143a0a4fedb39c4f9e](https://github.com/user-attachments/assets/a1bd51af-46cc-46e4-a0b1-b900c6ac992e)  \n![c4bb93b010ce0df8dedc45988ab57d08](https://github.com/user-attachments/assets/4769f2a8-624e-442a-8fc0-54e568048984)  \n\n## 相关链接\n[爱发电](https://afdian.tv/a/NangInShell)  \n\n[BiliBili: NangInShell](https://space.bilibili.com/335908558)   \n\n[QQ交流群：711185279]\n\n## 参考\n\n[vs-mlrt](https://github.com/AmusementClub/vs-mlrt)\n\n[vs-Editor](https://github.com/YomikoR/VapourSynth-Editor)\n\n[vapoursynth](https://github.com/vapoursynth/vapoursynth)\n\n[ffmpeg](https://github.com/FFmpeg/FFmpeg)\n","funding_links":[],"categories":[],"sub_categories":[],"project_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftensoraws%2Fvset","html_url":"https://awesome.ecosyste.ms/projects/github.com%2Ftensoraws%2Fvset","lists_url":"https://awesome.ecosyste.ms/api/v1/projects/github.com%2Ftensoraws%2Fvset/lists"}