Original Summary

I maintain NSFW Sherlock, an open-source image moderation API for applications that need to process uploaded images on their own infrastructure. It uses Go and ONNX Runtime for photo/anime classification and explicit-region detection, with optional Tesseract OCR. You can request a simple flag or a fuller response with model scores and detections over HTTP or gRPC. The CPU Docker image includes the models and OCR support, and supports Linux amd64 and arm64. The README has a Docker quick start and API request examples. The service code is AGPL-3.0; model licenses are documented separately. GPU setup is documented, but inference has not yet been verified on physical NVIDIA or AMD hardware. Classification results still need validation against your own images and moderation policy. Code and setup: https://github.com/M1chlCZ/nsfw_sherlock I'd welcome feedback from people integrating image moderation: are the response fields and setup instructions enough to try it in your application?   submitted by   /u/M1chlCZ [link]   [comments]

  • 情报分类：技术学习与提效
  • 分类依据：内容涉及技术、AI、软件工具或工程实践
  • 信息来源：Reddit · SideProject
  • 发布时间：2026/10/12 04:19:31