paddleocr_webcomunicav5/docker-compose.yml at main · webcomunicasolutions/paddleocr_webcomunicav5 · GitHub

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version: '3.8'

services:
  paddlepaddle-v5:
    build: .
    container_name: paddlepaddle-v5
    restart: unless-stopped
    network_mode: bridge
    ports:
      - "8505:8503"
    volumes:
      - /home/n8n:/home/n8n
      - paddlex-models-v5:/home/n8n/.paddlex
      - paddleocr-models-v5:/home/n8n/.paddleocr
    shm_size: 8g
    user: "root"
    environment:
      - TZ=Europe/Madrid

      # Flask
      - FLASK_ENV=production
      - FLASK_PORT=8503

      # Variables OpenCV - CONFIGURACIÓN PACO
      - OPENCV_HSV_LOWER_H=0
      - OPENCV_HSV_LOWER_S=0
      - OPENCV_HSV_LOWER_V=140
      - OPENCV_HSV_UPPER_H=180
      - OPENCV_HSV_UPPER_S=60
      - OPENCV_HSV_UPPER_V=255
      - OPENCV_MIN_AREA_PERCENT=0.15
      - OPENCV_MAX_AREA_PERCENT=0.95
      - OPENCV_EPSILON_FACTOR=0.01
      - OPENCV_ERODE_ITERATIONS=1
      - OPENCV_DILATE_ITERATIONS=2
      - OPENCV_MIN_WIDTH=300
      - OPENCV_MIN_HEIGHT=400
      - OPENCV_EROSION_PERCENT=0.085
      - OPENCV_INNER_SCALE_FACTOR=1.06

      # Variables de rotacion - CONFIGURACIÓN PACO
      - ROTATION_MIN_CONFIDENCE=0.7
      - ROTATION_MIN_SKEW_ANGLE=0.2

      # Variables OCR - CONFIGURACIÓN OPTIMIZADA v5.1
      # Ajustado según análisis de Agentes Opus (08/12/2025)
      - OCR_LANG=es
      - OCR_VERSION=PP-OCRv3
      - OCR_TEXT_DETECTION_MODEL_NAME=PP-OCRv3_mobile_det
      - OCR_TEXT_RECOGNITION_MODEL_NAME=latin_PP-OCRv3_mobile_rec
      - OCR_USE_DOC_ORIENTATION=false
      - OCR_USE_DOC_UNWARPING=false
      - OCR_USE_TEXTLINE_ORIENTATION=true
      # Parámetros de detección optimizados (antes: 0.05/0.2/1.5 - muy sensible)
      - OCR_TEXT_DET_THRESH=0.25
      - OCR_TEXT_DET_BOX_THRESH=0.4
      - OCR_TEXT_DET_UNCLIP_RATIO=2.0
      - OCR_TEXT_DET_LIMIT_SIDE_LEN=960
      - OCR_TEXT_DET_LIMIT_TYPE=min
      - OCR_TEXT_RECOGNITION_BATCH_SIZE=6
      - OCR_ENHANCE_LEVEL=none

      # Optimizacion CPU
      - OMP_NUM_THREADS=1
      - MKL_NUM_THREADS=1
      - FLAGS_allocator_strategy=auto_growth
      - FLAGS_fraction_of_gpu_memory_to_use=0
      - CUDA_VISIBLE_DEVICES=""

    deploy:
      resources:
        limits:
          memory: 4G
          cpus: '2.0'
    healthcheck:
      test: ["CMD", "curl", "-f", "http://localhost:8503/health"]
      interval: 30s
      timeout: 15s
      retries: 3
      start_period: 60s

volumes:
  paddlex-models-v5:
    driver: local
  paddleocr-models-v5:
    driver: local