54 lines
1.7 KiB
Markdown
54 lines
1.7 KiB
Markdown
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---
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title: lsky图床使用nsfw鉴黄
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tags:
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- linux
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- 学习笔记
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categories:
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- 学习笔记
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index_img: /img/2024/3/17/nsfw.png
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banner_img: /img/2024/3/17/nsfw.png
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permalink: /2024/03/17/lskynsfw/index.html
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date: 2024-03-17 21:12:51
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---
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~~闲的无聊弄了一个图床:`https://tc.linuxcat.top/`~~
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使用开源的lsky pro搭建
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为了防止坏比搞逝,阿里和腾讯的鉴黄太贵,就用了nsfwapi鉴黄
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### docker
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docker一键安装
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```shell
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docker run -p 3000:3000 ghcr.io/arnidan/nsfw-api:latest
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```
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如果你机器在国内,拉不动镜像:
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```shell
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docker run -p 3000:3000 registry.cn-hangzhou.aliyuncs.com/mei232/roywangdev-nsfwapi:latest
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```
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### nodejs
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不推荐使用nodejs直接部署
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使用nodejs安装比较麻烦,需要到`https://roy.wang/nsfw-appraisal-api/`选择合适的版本下载(大概2022年之前的提交)
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然后参照说明文档下载模型,接着
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```shell
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yarn
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yarn build
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yarn start
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```
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这个过程可能有亿点久,arm架构不支持
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然后把把`http(s)://IP:port/classify`填入即可,设置一个合适的阈值测试一下就好了
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### API调用
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```shell
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curl -X POST -H "Content-Type: multipart/form-data" -F "image=@path/to/image" http(s)://IP:port/classify
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```
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### ~~公开API~~
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~~你也可以用我的API`https://api.mmeiblog.cn/nsfw/`~~
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~~直接填进去就行,不用加`/classify`~~
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~~目前API已经寄了,三年内没有加回来的打算~~
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### 参考资料
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[NSFW-API 开源的图片鉴黄API](https://roy.wang/nsfw-appraisal-api/)
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[nsfw-api](https://github.com/arnidan/nsfw-api/tree/41c0acb725dced11c5536ebbc6a67153bfed3100)
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[nsfw_model](https://github.com/GantMan/nsfw_model)
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[图片审核 Lsky Pro](https://docs.lsky.pro/docs/free/v2/group/picture-review.html)
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