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soruly avatar

soruly/trace.moe

0
View on GitHub↗
4,992 stars·260 forks·MIT·17 viewstrace.moe↗

Trace.moe

This project is an anime scene reverse image search engine that matches a screenshot to the exact anime episode and timestamp. It is designed as a self-hosted search service that can be deployed using Docker containers and pre-indexed databases, enabling private operation on local or custom infrastructure.

At its core, the system extracts visual features from frames using a convolutional neural network trained on anime imagery. Query images provided via URL are processed through the same feature extraction pipeline, and an approximate nearest neighbor search matches the query against millions of precomputed frame features for sub-second results. The matched frame is then translated into the corresponding episode, offset, and scene metadata.

The service is delivered as a Docker Compose orchestration that configures multiple containers for the search, API, and database layers. A precomputed database dump is loaded on startup to initialize the search service without requiring full indexing. An API endpoint accepts an image URL as a query parameter and returns source information, including a sample clip.

Features

  • Anime Scene Recognition - A reverse image search engine that finds the exact anime scene from a screenshot or image URL.
  • Screenshot Matchers - Match an uploaded screenshot to the exact video, episode, and timestamp in an anime scene search database.
  • Approximate Nearest Neighbor Search - Matches query features against millions of precomputed frame features using a vector index for sub-second results.
  • Precomputed Data Imports - Load a precomputed database dump to quickly initialize a self-hosted anime scene search instance without full processing.
  • Precomputed Database Dumps - Loads a snapshot of frame features, metadata, and timestamps into the search service for instant readiness.
  • Frame Number Mappings - Translates matched frame numbers to exact anime episode, offset, and scene metadata.
  • Docker Compose Deployments - Deploy the anime scene search stack using Docker Compose on local or custom infrastructure for self-hosted operation.
  • Anime Scene Search Services - A search service for anime that can be self-hosted via Docker containers and pre-indexed databases.
  • Self-Hosted Search Services - A deployable search system for anime scene identification using Docker Compose and precomputed data.
  • Visual Feature Embeddings - Extracts visual features from frames using a convolutional neural network trained on anime imagery.
  • URL-Based Image Queries - Providing an image URL as a query parameter to identify the anime scene without uploading a file.
  • Anime Frame Matchers - A tool that matches uploaded screenshots to specific video frames, returning episode and timestamp.

Star history

Star history chart for soruly/trace.moeStar history chart for soruly/trace.moe

How this analysis was created: This summary and feature list are AI-generated from collected project material and can contain mistakes. Stars, license and language are imported from GitHub. Inclusion does not mean that we have tested or audited this project. Check the source documentation for any feature you depend on. Learn more on our About page.

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Frequently asked questions

What does soruly/trace.moe do?

This project is an anime scene reverse image search engine that matches a screenshot to the exact anime episode and timestamp. It is designed as a self-hosted search service that can be deployed using Docker containers and pre-indexed databases, enabling private operation on local or custom infrastructure.

What are the main features of soruly/trace.moe?

The main features of soruly/trace.moe are: Anime Scene Recognition, Screenshot Matchers, Approximate Nearest Neighbor Search, Precomputed Data Imports, Precomputed Database Dumps, Frame Number Mappings, Docker Compose Deployments, Anime Scene Search Services.

Which projects share features with soruly/trace.moe?

Projects with overlapping indexed features include: unum-cloud/usearch — USearch is a high-performance vector similarity search engine and approximate nearest neighbor index designed for… hora-search/hora — Hora is a vector similarity search library written in Rust designed for efficient approximate nearest neighbor… dotheevo/selfhosted-apps-docker — This project is a curated collection of deployment files and configurations for hosting a wide variety of open-source… spotify/annoy — Annoy is a C++ library designed for approximate nearest neighbor search in high-dimensional vector spaces. It… francescou/docker-compose-ui — Docker Compose UI is a web-based management platform that provides a graphical dashboard for orchestrating… vdaas/vald — Vald is a distributed, cloud-native search engine designed for high-dimensional vector data. It functions as an…