EncryptedCity 17 Posted 1 hour ago Posted 1 hour ago (edited) EmbyVision OCR is a standalone OCR service designed to improve credits detection for Emby libraries. It runs separately from Emby in Docker and analyzes video frames using OCR to help identify end credits. Note: This is not an Emby plugin. It is a standalone companion service designed to work with Emby Credits Detector integrations. Features Lightweight design with minimal resource requirements, approx. 1.89GB pulled Consuming approx. 345.2MiB - 3.5GB RAM while in use. CPU-only OCR processing No GPU required No NVIDIA drivers required No CUDA setup required AI-powered OCR using PaddleOCR Designed for Emby Credits Detector workflows Docker-based deployment No database required No persistent appdata storage required Self-contained container image Simple Docker Compose installation Optimized for self-hosted media servers Optimized for fast CPU-only OCR processing Container Image The official CPU-only container image is available through GitHub Container Registry. This release is CPU-only and does not include GPU acceleration. GitHub Repository https://github.com/encryptedcity/embyvision-ocr Docker Installation Docker Run docker run -d \ --name embyvision-ocr \ --restart unless-stopped \ -p 8000:8000 \ ghcr.io/encryptedcity/embyvision-ocr:latest Docker Compose Installation Create: docker-compose.yml Add: services: embyvision-ocr: image: ghcr.io/encryptedcity/embyvision-ocr:latest container_name: embyvision-ocr restart: unless-stopped ports: - "8000:8000" Start the container: docker compose up -d This image does not require: NVIDIA Container Toolkit CUDA libraries GPU passthrough GPU device mappings Compatibility Tested with Docker deployments Runs well on Unraid CPU-only operation makes it compatible with systems without dedicated AI hardware Suitable for self-hosted Emby servers Edited 1 hour ago by EncryptedCity Banner
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