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lyf-vision-understand

v1.0.4

Published

AI 视觉理解工具 - 支持图像分析、OCR、场景理解、Grounding 定位

Readme

lyf-vision-understand

AI 视觉理解工具 - 支持图像分析、OCR、场景理解、Grounding 定位,默认使用免费模型GLM-4.6V-Flash,可以使用付费模型GLM-4.6V

npm License: MIT

特性

  • 🔍 多模态视觉理解
  • 📝 OCR 文字识别
  • 🎯 Grounding 精确定位
  • 📊 图表数据分析
  • 📄 文档解析
  • 🚀 零运行时依赖

支持的模型

| 模型 | 描述 | | ---------------- | ----------------------------- | | glm-4.6v-flash | 智谱AI 高速视觉模型(免费) | | glm-4.6v | 智谱AI 高质量视觉模型(付费) | | glm-oce | 智谱AI ocr模型(付费) |

安装

npm install -g lyf-vision-understand

CLI 使用

# 分析图片
ccm-vision analyze image.jpg "描述这张图片"

# OCR 文字识别
ccm-vision ocr receipt.jpg

# 物体检测
ccm-vision detect photo.jpg "猫"

# Grounding 定位
ccm-vision grounding photo.jpg "红色的车"

# 图表分析
ccm-vision chart chart.png

环境变量

export VISION_API_KEY="your-api-key"
export VISION_MODEL="glm-4.6v-flash"
export VISION_API_URL="https://..."

MCP 服务器

claude_desktop_config.json 中配置:

{
  "mcpServers": {
    "vision": {
      "command": "ccm-vision-mcp",
      "env": {
        "VISION_API_KEY": "your-api-key"
      }
    }
  }
}

编程使用

import { VisionClient } from "lyf-vision-understand";

const client = new VisionClient("your-api-key", {
  model: "glm-4.6v-flash",
});

// 分析图片
const result1 = await client.analyze("image.jpg", "描述这张图片");

// OCR 识别
const result2 = await client.ocr("receipt.jpg");

// 物体检测
const result3 = await client.detect("photo.jpg", "猫");

// Grounding 定位
const result4 = await client.grounding("photo.jpg", "找到红色车辆的位置");

API 文档

获取智谱AI API Key: https://open.bigmodel.cn/usercenter/apikeys

License

MIT