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中关村两院每周菜单识别

Extracts structured weekly menu content (breakfast, lunch, snacks by day) from a cafeteria menu image using a VLM via OpenRouter. Use when the user provides...
从食堂菜单图片中提取结构化的每周菜单内容(按天列出早餐、午餐和小吃),使用 VLM 通过 OpenRouter。当用户提供……
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未分类 clawhub v1.0.0 1 版本 100000 Key: 需要
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概述

食堂周菜单识别

Extracts a full weekly cafeteria menu from an image: date range, and each day's breakfast, lunch, and snacks.

When to use

When the user provides a cafeteria menu image (PNG or JPG) and wants to extract or reference its dish contents.

How to extract

Run the extraction script with the image path:

python scripts/extract_menu.py <image_path>

Output is structured Markdown containing:

  • Week date range
  • Each day's breakfast items
  • Each day's lunch items
  • Each day's snack stall items (standalone +-separated line, e.g. 牛肉拉面+云南过桥米线)

Notes

  • Requires MENU_OPENROUTER_API_KEY (OpenRouter API key)
  • Model: qwen/qwen-vl-plus via OpenRouter
  • Supports PNG and JPEG; no compression needed for files under 5 MB
  • Snack stall items appear as a standalone line in the lunch section, with dishes joined by +

版本历史

共 1 个版本

  • v1.0.0 当前
    2026-05-03 07:47 安全 安全

安全检测

腾讯云安全 (Keen)

安全,无风险
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腾讯云安全 (Sanbu)

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