{"id":83464,"date":"2026-07-25T23:17:05","date_gmt":"2026-07-25T15:17:05","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/83464.html"},"modified":"2026-07-25T23:17:05","modified_gmt":"2026-07-25T15:17:05","slug":"mgeo%e9%97%a8%e5%9d%80%e8%a7%a3%e6%9e%90%e9%83%a8%e7%bd%b2%ef%bc%9aarm%e6%9e%b6%e6%9e%84%e6%9c%8d%e5%8a%a1%e5%99%a8%ef%bc%88%e5%a6%82%e9%b2%b2%e9%b9%8f920%ef%bc%89%e4%b8%8amgeo-base%e5%85%bc%e5%ae%b9","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/83464.html","title":{"rendered":"MGeo\u95e8\u5740\u89e3\u6790\u90e8\u7f72\uff1aARM\u67b6\u6784\u670d\u52a1\u5668\uff08\u5982\u9cb2\u9e4f920\uff09\u4e0aMGeo-base\u517c\u5bb9\u6027\u9a8c\u8bc1"},"content":{"rendered":"

MGeo\u95e8\u5740\u89e3\u6790\u90e8\u7f72：ARM\u67b6\u6784\u670d\u52a1\u5668（\u5982\u9cb2\u9e4f920）\u4e0aMGeo-base\u517c\u5bb9\u6027\u9a8c\u8bc1<\/h2>\n

\u4f60\u6709\u6ca1\u6709\u9047\u5230\u8fc7\u8fd9\u6837\u7684\u573a\u666f：\u7528\u6237\u586b\u5199\u7684\u6536\u8d27\u5730\u5740\u4e94\u82b1\u516b\u95e8，\u6709\u7684\u5199\u201cXX\u8defXX\u53f7\u201d，\u6709\u7684\u5199\u201cXX\u5c0f\u533aX\u680bX\u5355\u5143\u201d，\u8fd8\u6709\u7684\u5e72\u8106\u53ea\u5199\u4e00\u4e2a\u6a21\u7cca\u7684\u5730\u6807\u3002\u628a\u8fd9\u4e9b\u975e\u7ed3\u6784\u5316\u7684\u5730\u5740\u6587\u672c，\u81ea\u52a8\u89e3\u6790\u6210\u201c\u7701\u3001\u5e02\u3001\u533a\u3001\u8857\u9053\u3001\u95e8\u724c\u53f7\u201d\u8fd9\u6837\u7684\u6807\u51c6\u683c\u5f0f，\u662f\u5f88\u591a\u4e1a\u52a1\u7cfb\u7edf\u5934\u75bc\u7684\u95ee\u9898\u3002<\/p>\n

\u4eca\u5929，\u6211\u4eec\u5c31\u6765\u804a\u804a\u4e00\u4e2a\u4e13\u95e8\u89e3\u51b3\u8fd9\u4e2a\u95ee\u9898\u7684\u201c\u795e\u5668\u201d\u2014\u2014MGeo\u6a21\u578b\u3002\u66f4\u5177\u4f53\u5730\u8bf4，\u6211\u4eec\u5c06\u624b\u628a\u624b\u5e26\u4f60\u5b8c\u6210 MGeo-base\u6a21\u578b\u5728ARM\u67b6\u6784\u670d\u52a1\u5668（\u6bd4\u5982\u534e\u4e3a\u9cb2\u9e4f920）\u4e0a\u7684\u90e8\u7f72\u4e0e\u517c\u5bb9\u6027\u9a8c\u8bc1\u3002\u8fd9\u4e0d\u4ec5\u4ec5\u662f\u628a\u6a21\u578b\u8dd1\u8d77\u6765，\u66f4\u91cd\u8981\u7684\u662f\u9a8c\u8bc1\u5b83\u5728\u56fd\u4ea7\u5316\u786c\u4ef6\u5e73\u53f0\u4e0a\u7684\u8868\u73b0\u662f\u5426\u7a33\u5b9a\u53ef\u9760\u3002<\/p>\n

\u901a\u8fc7\u8fd9\u7bc7\u6587\u7ae0，\u4f60\u5c06\u80fd：<\/p>\n

  • \u5feb\u901f\u5728ARM\u670d\u52a1\u5668\u4e0a\u90e8\u7f72MGeo-base\u6a21\u578b\u670d\u52a1\u3002<\/li>\n
  • \u4e86\u89e3\u5982\u4f55\u9a8c\u8bc1\u6a21\u578b\u5728\u975ex86\u67b6\u6784\u4e0b\u7684\u529f\u80fd\u5b8c\u6574\u6027\u3002<\/li>\n
  • \u638c\u63e1\u4f7f\u7528Gradio\u6784\u5efa\u4e00\u4e2a\u7b80\u5355\u6613\u7528\u7684\u5730\u5740\u89e3\u6790Web\u754c\u9762\u3002<\/li>\n
  • \u83b7\u5f97\u4e00\u4efdARM\u5e73\u53f0\u90e8\u7f72\u7684\u5b9e\u8df5\u7ecf\u9a8c\u53c2\u8003\u3002<\/li>\n

    \u65e0\u8bba\u4f60\u662f\u8d1f\u8d23\u7cfb\u7edf\u8fc1\u79fb\u7684\u5de5\u7a0b\u5e08，\u8fd8\u662f\u5bf9\u5730\u5740\u667a\u80fd\u5904\u7406\u611f\u5174\u8da3\u7684\u7814\u7a76\u8005，\u8fd9\u7bc7\u4ece\u73af\u5883\u51c6\u5907\u5230\u6548\u679c\u9a8c\u8bc1\u7684\u5b8c\u6574\u6307\u5357，\u90fd\u80fd\u5e2e\u4f60\u626b\u6e05\u969c\u788d\u3002<\/p>\n

    1. \u73af\u5883\u51c6\u5907\u4e0e\u9879\u76ee\u7406\u89e3<\/h3>\n

    \u5728\u5f00\u59cb\u52a8\u624b\u4e4b\u524d，\u6211\u4eec\u5148\u82b1\u51e0\u5206\u949f\u641e\u6e05\u695a\u4e24\u4ef6\u4e8b：\u6211\u4eec\u8981\u90e8\u7f72\u7684\u662f\u4ec0\u4e48，\u4ee5\u53ca\u6211\u4eec\u9700\u8981\u4ec0\u4e48\u6837\u7684\u73af\u5883\u3002<\/p>\n

    1.1 MGeo\u6a21\u578b\u662f\u4ec0\u4e48？<\/h4>\n

    \u7b80\u5355\u6765\u8bf4，MGeo\u662f\u4e00\u4e2a\u4e13\u95e8\u4e3a\u4e2d\u6587\u5730\u5740\u5904\u7406\u4efb\u52a1\u8bbe\u8ba1\u7684\u201c\u591a\u6a21\u6001\u9884\u8bad\u7ec3\u6a21\u578b\u201d\u3002\u4f60\u53ef\u4ee5\u628a\u5b83\u60f3\u8c61\u6210\u4e00\u4e2a\u5bf9\u5730\u5740\u4fe1\u606f\u7279\u522b\u201c\u654f\u611f\u201d\u548c\u201c\u4e13\u4e1a\u201d\u7684AI\u5927\u8111\u3002<\/p>\n

    \u5b83\u7684\u6838\u5fc3\u80fd\u529b\u5728\u4e8e\u201c\u7406\u89e3\u201d\u5730\u5740：<\/p>\n

      \n
    • \u7ed3\u6784\u5316\u89e3\u6790：\u628a\u4e00\u6bb5\u6742\u4e71\u7684\u4e2d\u6587\u5730\u5740\u6587\u672c，\u81ea\u52a8\u62c6\u89e3\u6210\u201c\u7701\u3001\u5e02\u3001\u533a\u3001\u8857\u9053\u3001\u9053\u8def\u3001\u95e8\u724c\u53f7\u3001POI（\u5174\u8da3\u70b9）\u201d\u7b49\u6807\u51c6\u5b57\u6bb5\u3002\u6bd4\u5982，\u8f93\u5165\u201c\u676d\u5dde\u5e02\u897f\u6e56\u533a\u6587\u4e09\u8def478\u53f7\u534e\u661f\u65f6\u4ee3\u5e7f\u573a\u201d，\u5b83\u80fd\u8f93\u51fa\u7ed3\u6784\u5316\u7684JSON\u6570\u636e\u3002<\/li>\n
    • \u591a\u6a21\u6001\u878d\u5408：\u5b83\u4e0d\u4ec5\u8bfb\u6587\u5b57，\u8fd8\u80fd\u7ed3\u5408\u5730\u56fe\u7684\u5750\u6807\u3001\u5f62\u72b6\u7b49\u7a7a\u95f4\u4fe1\u606f（\u591a\u6a21\u6001）\u6765\u7406\u89e3\u5730\u5740，\u8fd9\u8ba9\u5b83\u7684\u7406\u89e3\u66f4\u51c6\u786e\u3001\u66f4\u8d34\u8fd1\u771f\u5b9e\u4e16\u754c\u3002<\/li>\n
    • \u591a\u4efb\u52a1\u652f\u6301：\u57fa\u4e8eMGeo\u8fd9\u4e2a\u5f3a\u5927\u7684\u201c\u5e95\u5ea7\u201d，\u53ef\u4ee5\u5fae\u8c03\u51fa\u7528\u4e8e\u5730\u5740\u5339\u914d\u3001\u7ea0\u9519\u3001\u8865\u5168\u7b49\u591a\u79cd\u4e0b\u6e38\u4efb\u52a1\u7684\u4e13\u7528\u6a21\u578b\u3002<\/li>\n<\/ul>\n

      \u6211\u4eec\u8fd9\u6b21\u90e8\u7f72\u7684 MGeo-base \u5c31\u662f\u5b83\u7684\u57fa\u7840\u7248\u672c，\u4e13\u6ce8\u4e8e\u5730\u5740\u6587\u672c\u7684\u7ed3\u6784\u5316\u89e3\u6790\u4efb\u52a1\u3002<\/p>\n

      1.2 \u4e3a\u4ec0\u4e48\u8981\u5728ARM\u67b6\u6784\u4e0a\u9a8c\u8bc1？<\/h4>\n

      x86\u67b6\u6784（\u5982Intel\/AMD CPU）\u662f\u670d\u52a1\u5668\u9886\u57df\u7684\u4f20\u7edf\u4e3b\u6d41\u3002\u800cARM\u67b6\u6784（\u5982\u9cb2\u9e4f920\u3001\u98de\u817e）\u56e0\u5176\u9ad8\u80fd\u6548\u6bd4，\u5728\u56fd\u4ea7\u5316\u670d\u52a1\u5668\u548c\u4e91\u8ba1\u7b97\u573a\u666f\u4e2d\u5e94\u7528\u8d8a\u6765\u8d8a\u5e7f\u3002<\/p>\n

      \u5c06AI\u6a21\u578b\u4ecex86\u8fc1\u79fb\u5230ARM，\u5e76\u975e\u7b80\u5355\u7684\u590d\u5236\u7c98\u8d34，\u53ef\u80fd\u4f1a\u9047\u5230\u4e00\u4e9b\u201c\u6c34\u571f\u4e0d\u670d\u201d：<\/p>\n

    • \u8f6f\u4ef6\u5305\u517c\u5bb9\u6027：Python\u7684\u67d0\u4e9b\u8f6e\u5b50（whl\u5305）\u6216\u5e95\u5c42C++\u5e93（\u5982PyTorch\u7684\u67d0\u4e9b\u7b97\u5b50）\u53ef\u80fd\u6ca1\u6709ARM\u7248\u672c\u3002<\/li>\n
    • \u6027\u80fd\u5dee\u5f02：\u540c\u6837\u7684\u6a21\u578b，\u5728\u4e0d\u540c\u67b6\u6784\u7684CPU\u4e0a，\u7531\u4e8e\u6307\u4ee4\u96c6\u548c\u4f18\u5316\u7a0b\u5ea6\u4e0d\u540c，\u63a8\u7406\u901f\u5ea6\u53ef\u80fd\u6709\u5dee\u5f02\u3002<\/li>\n
    • \u529f\u80fd\u5b8c\u6574\u6027：\u67d0\u4e9b\u4f9d\u8d56\u7279\u5b9a\u6307\u4ee4\u96c6\u7684\u529f\u80fd\u53ef\u80fd\u5728ARM\u4e0a\u65e0\u6cd5\u6b63\u5e38\u5de5\u4f5c\u3002<\/li>\n

      \u56e0\u6b64，\u5728ARM\u670d\u52a1\u5668\u4e0a\u6210\u529f\u90e8\u7f72\u5e76\u9a8c\u8bc1MGeo，\u662f\u786e\u4fdd\u5176\u80fd\u5728\u56fd\u4ea7\u5316\u73af\u5883\u4e2d\u7a33\u5b9a\u670d\u52a1\u7684\u5173\u952e\u4e00\u6b65\u3002<\/p>\n

      1.3 \u90e8\u7f72\u73af\u5883\u786e\u8ba4<\/h4>\n

      \u672c\u6b21\u90e8\u7f72\u9a8c\u8bc1\u57fa\u4e8e\u4ee5\u4e0b\u5178\u578b\u73af\u5883：<\/p>\n

        \n
      • \u786c\u4ef6：\u534e\u4e3a\u9cb2\u9e4f920 ARMv8\u67b6\u6784\u670d\u52a1\u5668\u3002<\/li>\n
      • \u64cd\u4f5c\u7cfb\u7edf：CentOS 7.6 \/ Ubuntu 20.04 \u6216\u540c\u7c7bARM\u7248\u672c\u3002<\/li>\n
      • \u5173\u952e\u5de5\u5177：\n
          \n
        • ModelScope（\u6a21\u578bScope）：\u963f\u91cc\u5f00\u6e90\u7684\u6a21\u578b\u5373\u670d\u52a1\u6846\u67b6，\u8ba9\u6211\u4eec\u80fd\u50cf\u5b89\u88c5Python\u5305\u4e00\u6837\u8f7b\u677e\u4e0b\u8f7d\u548c\u8fd0\u884cAI\u6a21\u578b\u3002<\/li>\n
        • Gradio：\u4e00\u4e2a\u8d85\u7b80\u5355\u7684Python\u5e93，\u51e0\u884c\u4ee3\u7801\u5c31\u80fd\u4e3a\u4f60\u7684\u6a21\u578b\u521b\u5efa\u4e00\u4e2aWeb\u4ea4\u4e92\u754c\u9762，\u975e\u5e38\u9002\u5408\u5feb\u901f\u6f14\u793a\u548c\u6d4b\u8bd5\u3002<\/li>\n<\/ul>\n<\/li>\n<\/ul>\n

          \u786e\u4fdd\u4f60\u7684\u670d\u52a1\u5668\u5df2\u7ecf\u5b89\u88c5\u4e86Python（\u5efa\u8bae3.8+）\u548cpip\u3002\u63a5\u4e0b\u6765，\u6211\u4eec\u8fdb\u5165\u5b9e\u6218\u73af\u8282\u3002<\/p>\n

          2. \u5206\u6b65\u90e8\u7f72MGeo-base\u6a21\u578b\u670d\u52a1<\/h3>\n

          \u73b0\u5728，\u6211\u4eec\u5f00\u59cb\u5b9e\u9645\u7684\u90e8\u7f72\u5de5\u4f5c\u3002\u6574\u4e2a\u8fc7\u7a0b\u5c31\u50cf\u642d\u79ef\u6728，\u4e00\u6b65\u6b65\u6765，\u975e\u5e38\u6e05\u6670\u3002<\/p>\n

          2.1 \u7b2c\u4e00\u6b65：\u5b89\u88c5\u6838\u5fc3\u4f9d\u8d56<\/h4>\n

          \u9996\u5148，\u901a\u8fc7SSH\u8fde\u63a5\u5230\u4f60\u7684ARM\u670d\u52a1\u5668\u3002\u6211\u4eec\u9700\u8981\u5b89\u88c5\u4e24\u4e2a\u6700\u6838\u5fc3\u7684\u5e93：modelscope \u548c gradio\u3002<\/p>\n

          \u6253\u5f00\u7ec8\u7aef，\u6267\u884c\u4ee5\u4e0b\u547d\u4ee4：<\/p>\n

          # \u5347\u7ea7pip\u5230\u6700\u65b0\u7248\u672c（\u53ef\u9009，\u4f46\u63a8\u8350）
          \npip install –upgrade pip<\/p>\n

          # \u5b89\u88c5ModelScope\u6846\u67b6\u548cGradio
          \npip install modelscope gradio<\/p>\n

          \u5b89\u88c5\u53ef\u80fd\u9047\u5230\u7684\u95ee\u9898\u53ca\u89e3\u51b3：<\/p>\n

            \n
          • \u901f\u5ea6\u6162：\u53ef\u4ee5\u4f7f\u7528\u56fd\u5185\u955c\u50cf\u6e90\u52a0\u901f，\u4f8b\u5982：pip install modelscope gradio -i https:\/\/pypi.tuna.tsinghua.edu.cn\/simple<\/li>\n
          • \u4f9d\u8d56\u51b2\u7a81：\u5982\u679c\u9047\u5230\u67d0\u4e9b\u5305\u7248\u672c\u51b2\u7a81，\u53ef\u4ee5\u5c1d\u8bd5\u5148\u521b\u5efa\u4e00\u4e2a\u5e72\u51c0\u7684Python\u865a\u62df\u73af\u5883（python -m venv myenv），\u7136\u540e\u5728\u5176\u4e2d\u5b89\u88c5\u3002<\/li>\n
          • \u7279\u5b9a\u5305\u7f3a\u5931：\u5728ARM\u67b6\u6784\u4e0a，modelscope\u4f1a\u81ea\u52a8\u5c1d\u8bd5\u5b89\u88c5\u9002\u914d\u7684PyTorch\u7b49\u5e95\u5c42\u5e93\u3002\u5982\u679c\u81ea\u52a8\u5b89\u88c5\u5931\u8d25，\u4f60\u53ef\u80fd\u9700\u8981\u524d\u5f80PyTorch\u5b98\u7f51\u67e5\u627e\u5bf9\u5e94ARM\u7248\u672c\u7684\u5b89\u88c5\u547d\u4ee4\u624b\u52a8\u5b89\u88c5\u3002<\/li>\n<\/ul>\n

            2.2 \u7b2c\u4e8c\u6b65：\u7f16\u5199\u6a21\u578b\u670d\u52a1\u811a\u672c<\/h4>\n

            \u5b89\u88c5\u597d\u4f9d\u8d56\u540e，\u6211\u4eec\u9700\u8981\u521b\u5efa\u4e00\u4e2aPython\u811a\u672c，\u8fd9\u4e2a\u811a\u672c\u8981\u505a\u4e09\u4ef6\u4e8b：\u52a0\u8f7d\u6a21\u578b\u3001\u5904\u7406\u8bf7\u6c42\u3001\u542f\u52a8Web\u670d\u52a1\u3002<\/p>\n

            \u5728\u4f60\u7684\u5de5\u4f5c\u76ee\u5f55\u4e0b（\u4f8b\u5982 \/home\/work\/mgeo_demo），\u521b\u5efa\u4e00\u4e2a\u540d\u4e3a webui.py \u7684\u6587\u4ef6，\u5e76\u8f93\u5165\u4ee5\u4e0b\u5185\u5bb9：<\/p>\n

            #!\/usr\/bin\/env python3
            \n# -*- coding: utf-8 -*-
            \n"""
            \nMGeo-base \u5730\u5740\u89e3\u6790\u6a21\u578b ARM\u517c\u5bb9\u6027\u9a8c\u8bc1\u53caWeb\u670d\u52a1
            \n"""<\/p>\n

            import gradio as gr
            \nfrom modelscope.pipelines import pipeline
            \nfrom modelscope.utils.constant import Tasks<\/p>\n

            # 1. \u58f0\u660e\u6a21\u578bID（ModelScope\u4ed3\u5e93\u5730\u5740）
            \nMODEL_ID = 'damo\/mgeo_backbone_chinese_base'<\/p>\n

            # 2. \u521b\u5efa\u5730\u5740\u89e3\u6790\u7684Pipeline
            \n# \u7b2c\u4e00\u6b21\u8fd0\u884c\u65f6\u4f1a\u81ea\u52a8\u4eceModelScope\u4e0b\u8f7d\u6a21\u578b，\u8bf7\u4fdd\u6301\u7f51\u7edc\u901a\u7545
            \nprint(f"\u6b63\u5728\u52a0\u8f7d\u6a21\u578b {MODEL_ID}，\u9996\u6b21\u52a0\u8f7d\u53ef\u80fd\u9700\u8981\u51e0\u5206\u949f，\u8bf7\u8010\u5fc3\u7b49\u5f85…")
            \naddress_parser = pipeline(Tasks.address_parsing, model=MODEL_ID)<\/p>\n

            print("\u6a21\u578b\u52a0\u8f7d\u6210\u529f！")<\/p>\n

            # 3. \u5b9a\u4e49\u5904\u7406\u51fd\u6570
            \ndef parse_address(text):
            \n """
            \n \u63a5\u6536\u7528\u6237\u8f93\u5165\u7684\u5730\u5740\u6587\u672c，\u8fd4\u56de\u7ed3\u6784\u5316\u89e3\u6790\u7ed3\u679c
            \n """
            \n if not text or text.strip() == "":
            \n return "\u8bf7\u8f93\u5165\u6709\u6548\u7684\u5730\u5740\u6587\u672c\u3002"<\/p>\n

            try:
            \n # \u8c03\u7528\u6a21\u578b\u8fdb\u884c\u9884\u6d4b
            \n result = address_parser(text)
            \n # \u7ed3\u679c\u662f\u4e00\u4e2a\u5b57\u5178，\u6211\u4eec\u5c06\u5176\u683c\u5f0f\u5316\u4e3a\u66f4\u6613\u8bfb\u7684\u5b57\u7b26\u4e32
            \n # \u5b9e\u9645\u7ed3\u679c\u5305\u542b\u66f4\u4e30\u5bcc\u7684\u5b57\u6bb5，\u8fd9\u91cc\u4e3b\u8981\u5c55\u793a\u7ed3\u6784\u5316\u90e8\u5206
            \n output = "\u5730\u5740\u89e3\u6790\u7ed3\u679c：\\\\n"
            \n if 'output' in result and 'text' in result['output']:
            \n # \u57fa\u7840\u7248\u672c\u8fd4\u56de\u7684\u53ef\u80fd\u662f\u6587\u672c，\u4e5f\u53ef\u80fd\u662f\u7ed3\u6784
            \n output += str(result['output'])
            \n else:
            \n # \u9002\u914d\u4e0d\u540c\u8f93\u51fa\u683c\u5f0f
            \n output += str(result)
            \n return output
            \n except Exception as e:
            \n return f"\u89e3\u6790\u8fc7\u7a0b\u4e2d\u51fa\u73b0\u9519\u8bef：{str(e)}"<\/p>\n

            # 4. \u4f7f\u7528Gradio\u521b\u5efaWeb\u754c\u9762
            \ndemo = gr.Interface(
            \n fn=parse_address, # \u7ed1\u5b9a\u5904\u7406\u51fd\u6570
            \n inputs=gr.Textbox(
            \n lines=3,
            \n placeholder="\u8bf7\u8f93\u5165\u9700\u8981\u89e3\u6790\u7684\u4e2d\u6587\u5730\u5740，\u4f8b\u5982：\u5317\u4eac\u5e02\u6d77\u6dc0\u533a\u4e2d\u5173\u6751\u5927\u885727\u53f7",
            \n label="\u8f93\u5165\u5730\u5740\u6587\u672c"
            \n ),
            \n outputs=gr.Textbox(
            \n lines=10,
            \n label="\u7ed3\u6784\u5316\u89e3\u6790\u7ed3\u679c"
            \n ),
            \n title="MGeo-base \u4e2d\u6587\u5730\u5740\u7ed3\u6784\u5316\u89e3\u6790 (ARM\u517c\u5bb9\u6027\u9a8c\u8bc1)",
            \n description="""\u57fa\u4e8e\u8fbe\u6469\u9662MGeo-base\u6a21\u578b\u3002\u8f93\u5165\u4e00\u6bb5\u4e2d\u6587\u5730\u5740，\u6a21\u578b\u5c06\u5c1d\u8bd5\u89e3\u6790\u51fa\u5176\u7701\u3001\u5e02\u3001\u533a\u3001\u8857\u9053\u3001\u95e8\u724c\u53f7\u7b49\u7ed3\u6784\u5316\u8981\u7d20\u3002
            \n **\u90e8\u7f72\u73af\u5883**：ARM\u67b6\u6784\u670d\u52a1\u5668（\u9cb2\u9e4f920）""",
            \n examples=[
            \n ["\u6d59\u6c5f\u7701\u676d\u5dde\u5e02\u897f\u6e56\u533a\u6587\u4e09\u8def478\u53f7\u534e\u661f\u65f6\u4ee3\u5e7f\u573a"],
            \n ["\u5e7f\u4e1c\u7701\u6df1\u5733\u5e02\u5357\u5c71\u533a\u79d1\u6280\u56ed\u79d1\u6280\u5357\u5341\u4e8c\u8def"],
            \n ["\u4e0a\u6d77\u5e02\u6d66\u4e1c\u65b0\u533a\u5f20\u6c5f\u9ad8\u79d1\u6280\u56ed\u533a\u7956\u51b2\u4e4b\u8def899\u53f7"]
            \n ]
            \n)<\/p>\n

            # 5. \u542f\u52a8\u670d\u52a1
            \nif __name__ == "__main__":
            \n # \u8bbe\u7f6e\u670d\u52a1\u5668\u76d1\u542c\u6240\u6709IP（0.0.0.0），\u65b9\u4fbf\u8fdc\u7a0b\u8bbf\u95ee
            \n demo.launch(server_name="0.0.0.0", server_port=7860, share=False)
            \n # \u5982\u679c\u4f60\u60f3\u751f\u6210\u4e00\u4e2a\u4e34\u65f6\u516c\u7f51\u94fe\u63a5\u7528\u4e8e\u6d4b\u8bd5，\u53ef\u4ee5\u8bbe\u7f6e share=True（\u9700\u8981\u4e92\u8054\u7f51）<\/p>\n

            \u811a\u672c\u5173\u952e\u70b9\u89e3\u91ca：<\/p>\n

          • MODEL_ID：\u6307\u5b9a\u4e86\u6211\u4eec\u8981\u4f7f\u7528\u7684\u6a21\u578b\u5728ModelScope\u5e73\u53f0\u4e0a\u7684\u552f\u4e00\u6807\u8bc6\u3002<\/li>\n
          • pipeline(…)：\u8fd9\u662fModelScope\u7684\u6838\u5fc3\u63a5\u53e3，\u4e00\u884c\u4ee3\u7801\u5c31\u5b8c\u6210\u4e86\u6a21\u578b\u7684\u4e0b\u8f7d\u3001\u52a0\u8f7d\u548c\u4efb\u52a1\u521d\u59cb\u5316\u3002<\/li>\n
          • parse_address\u51fd\u6570：\u5b83\u662fWeb\u670d\u52a1\u7684\u540e\u7aef\u903b\u8f91，\u63a5\u6536\u524d\u7aef\u8f93\u5165\u7684\u6587\u672c，\u8c03\u7528\u6a21\u578b，\u5e76\u8fd4\u56de\u7ed3\u679c\u3002<\/li>\n
          • gr.Interface：\u7528Gradio\u5feb\u901f\u5b9a\u4e49\u8f93\u5165\u6846\u3001\u8f93\u51fa\u6846\u548c\u793a\u4f8b\u3002<\/li>\n
          • demo.launch：\u542f\u52a8\u4e00\u4e2aWeb\u670d\u52a1\u5668\u3002server_port=7860\u662fGradio\u7684\u9ed8\u8ba4\u7aef\u53e3\u3002<\/li>\n

            2.3 \u7b2c\u4e09\u6b65：\u542f\u52a8\u670d\u52a1\u5e76\u9a8c\u8bc1<\/h4>\n

            \u4fdd\u5b58\u597d webui.py \u6587\u4ef6\u540e，\u5728\u7ec8\u7aef\u4e2d\u8fd0\u884c\u5b83：<\/p>\n

            cd \/home\/work\/mgeo_demo
            \npython webui.py<\/p>\n

            \u4f60\u4f1a\u770b\u5230\u7c7b\u4f3c\u4e0b\u9762\u7684\u8f93\u51fa，\u8bf4\u660e\u6a21\u578b\u6b63\u5728\u52a0\u8f7d（\u9996\u6b21\u8fd0\u884c\u9700\u8981\u4e0b\u8f7d\u6a21\u578b\u6743\u91cd，\u65f6\u95f4\u8f83\u957f）：<\/p>\n

            \u6b63\u5728\u52a0\u8f7d\u6a21\u578b damo\/mgeo_backbone_chinese_base，\u9996\u6b21\u52a0\u8f7d\u53ef\u80fd\u9700\u8981\u51e0\u5206\u949f，\u8bf7\u8010\u5fc3\u7b49\u5f85…
            \nDownloading model files…
            \n…
            \n\u6a21\u578b\u52a0\u8f7d\u6210\u529f！
            \nRunning on local URL: http:\/\/0.0.0.0:7860<\/p>\n

            \u770b\u5230 Running on local URL \u5c31\u8868\u793a\u670d\u52a1\u542f\u52a8\u6210\u529f\u4e86！<\/p>\n

            \u73b0\u5728，\u6253\u5f00\u4f60\u670d\u52a1\u5668\u6240\u5728\u673a\u5668\u7684\u6d4f\u89c8\u5668，\u8bbf\u95ee http:\/\/<\u4f60\u7684\u670d\u52a1\u5668IP\u5730\u5740>:7860\u3002\u5982\u679c\u662f\u5728\u670d\u52a1\u5668\u672c\u5730，\u53ef\u4ee5\u76f4\u63a5\u8bbf\u95ee http:\/\/127.0.0.1:7860\u3002<\/p>\n

            \u4f60\u5e94\u8be5\u80fd\u770b\u5230\u4e00\u4e2a\u7b80\u6d01\u7684Web\u754c\u9762\u3002\u5728\u8f93\u5165\u6846\u91cc\u8bd5\u8bd5\u63d0\u4f9b\u7684\u4f8b\u5b50，\u6216\u8005\u8f93\u5165\u4f60\u81ea\u5df1\u7684\u5730\u5740，\u6bd4\u5982\u201c\u5e7f\u5dde\u5854\u201d，\u7136\u540e\u70b9\u51fb\u201c\u63d0\u4ea4\u201d\u3002\u7a0d\u7b49\u7247\u523b，\u4e0b\u65b9\u5c31\u4f1a\u663e\u793a\u6a21\u578b\u89e3\u6790\u51fa\u7684\u7ed3\u6784\u5316\u7ed3\u679c\u3002<\/p>\n

            3. ARM\u67b6\u6784\u517c\u5bb9\u6027\u9a8c\u8bc1\u8981\u70b9<\/h3>\n

            \u670d\u52a1\u8dd1\u8d77\u6765\u4e86，\u4f46\u8fd9\u53ea\u662f\u7b2c\u4e00\u6b65\u3002\u6211\u4eec\u9700\u8981\u7cfb\u7edf\u5730\u9a8c\u8bc1\u5728ARM\u5e73\u53f0\u4e0a，\u6a21\u578b\u670d\u52a1\u662f\u5426\u201c\u5065\u5eb7\u201d\u3002\u4ee5\u4e0b\u662f\u51e0\u4e2a\u5173\u952e\u7684\u9a8c\u8bc1\u7ef4\u5ea6：<\/p>\n

            3.1 \u57fa\u7840\u529f\u80fd\u9a8c\u8bc1<\/h4>\n

            \u8fd9\u662f\u6700\u57fa\u672c\u7684\u6d4b\u8bd5，\u786e\u4fdd\u6838\u5fc3\u6d41\u7a0b\u6ca1\u95ee\u9898\u3002<\/p>\n

              \n
            • \u6d4b\u8bd5\u7528\u4f8b：\u4f7f\u7528\u591a\u4e2a\u4e0d\u540c\u590d\u6742\u5ea6\u3001\u4e0d\u540c\u5730\u57df\u7684\u5730\u5740\u8fdb\u884c\u6d4b\u8bd5\u3002\n
                \n
              • \u7b80\u5355\u5730\u5740：\u201c\u5317\u4eac\u5e02\u5929\u5b89\u95e8\u5e7f\u573a\u201d<\/li>\n
              • \u6807\u51c6\u7ed3\u6784\u5316\u5730\u5740：\u201c\u4e0a\u6d77\u5e02\u5f90\u6c47\u533a\u6f15\u5b9d\u8def123\u53f7\u201d<\/li>\n
              • \u5305\u542bPOI\u7684\u5730\u5740：\u201c\u5728\u6df1\u5733\u4e07\u8c61\u5929\u5730\u8d2d\u7269\u4e2d\u5fc3\u9644\u8fd1\u201d<\/li>\n<\/ul>\n<\/li>\n
              • \u9884\u671f\u7ed3\u679c：\u6a21\u578b\u5e94\u80fd\u7a33\u5b9a\u8fd4\u56de\u89e3\u6790\u7ed3\u679c，\u4e0d\u51fa\u73b0\u7a0b\u5e8f\u5d29\u6e83\u6216500\u9519\u8bef\u3002\u7ed3\u679c\u5e94\u5305\u542b\u5730\u5740\u7684\u5c42\u7ea7\u4fe1\u606f（\u5982\u7701\u3001\u5e02\u3001\u533a）\u3002<\/li>\n<\/ul>\n

                3.2 \u6027\u80fd\u4e0e\u7a33\u5b9a\u6027\u9a8c\u8bc1<\/h4>\n

                \u5728ARM\u67b6\u6784\u4e0a，\u6211\u4eec\u9700\u8981\u5173\u6ce8\u5176\u8fd0\u884c\u6548\u7387\u3002<\/p>\n

                  \n
                • \u63a8\u7406\u901f\u5ea6：\u8bb0\u5f55\u89e3\u679010\u4e2a\u4e0d\u540c\u5730\u5740\u7684\u5e73\u5747\u8017\u65f6\u3002\u4f60\u53ef\u4ee5\u5199\u4e00\u4e2a\u7b80\u5355\u7684Python\u811a\u672c\u8fdb\u884c\u6279\u91cf\u6d4b\u8bd5，\u4e0ex86\u5e73\u53f0\u7684\u6570\u636e\u8fdb\u884c\u5bf9\u6bd4（\u5982\u679c\u6761\u4ef6\u5141\u8bb8）\u3002\u5173\u6ce8\u70b9\u5728\u4e8e\u662f\u5426\u5728\u53ef\u63a5\u53d7\u8303\u56f4\u5185，\u800c\u975e\u7edd\u5bf9\u6570\u503c\u5bf9\u6bd4\u3002<\/li>\n
                • \u957f\u65f6\u95f4\u8fd0\u884c：\u8ba9\u670d\u52a1\u6301\u7eed\u8fd0\u884c\u51e0\u5c0f\u65f6\u6216\u534a\u5929，\u540c\u65f6\u95f4\u6b47\u6027\u5730\u53d1\u9001\u8bf7\u6c42\u3002\u89c2\u5bdf\u662f\u5426\u6709\u5185\u5b58\u6cc4\u6f0f（\u5185\u5b58\u4f7f\u7528\u91cf\u6301\u7eed\u589e\u957f）\u6216\u54cd\u5e94\u65f6\u95f4\u663e\u8457\u53d8\u6162\u7684\u60c5\u51b5\u3002\u53ef\u4ee5\u4f7f\u7528Linux\u547d\u4ee4\u5982 top \u6216 htop \u6765\u76d1\u63a7\u8fdb\u7a0b\u8d44\u6e90\u5360\u7528\u3002<\/li>\n
                • \u5e76\u53d1\u538b\u529b（\u53ef\u9009）：\u4f7f\u7528\u5de5\u5177\u5982 locust \u6216 wrk \u6a21\u62df\u591a\u4e2a\u7528\u6237\u540c\u65f6\u8bbf\u95ee，\u770b\u670d\u52a1\u662f\u5426\u80fd\u6b63\u5e38\u5904\u7406\u5e76\u53d1\u8bf7\u6c42\u3002ARM\u670d\u52a1\u5668\u7684\u6838\u5fc3\u6570\u901a\u5e38\u8f83\u591a，\u53ef\u4ee5\u89c2\u5bdf\u5176\u5e76\u53d1\u5904\u7406\u80fd\u529b\u3002<\/li>\n<\/ul>\n

                  3.3 \u9519\u8bef\u5904\u7406\u4e0e\u8fb9\u754c\u9a8c\u8bc1<\/h4>\n

                  \u4e00\u4e2a\u597d\u7684\u670d\u52a1\u5fc5\u987b\u80fd\u59a5\u5584\u5904\u7406\u5f02\u5e38\u8f93\u5165\u3002<\/p>\n

                    \n
                  • \u7a7a\u8f93\u5165\/\u65e0\u6548\u8f93\u5165：\u8f93\u5165\u7a7a\u5b57\u7b26\u4e32\u3001\u7eaf\u6570\u5b57\u3001\u65e0\u610f\u4e49\u5b57\u7b26，\u770b\u670d\u52a1\u662f\u8fd4\u56de\u53cb\u597d\u7684\u9519\u8bef\u63d0\u793a，\u8fd8\u662f\u76f4\u63a5\u5d29\u6e83\u3002<\/li>\n
                  • \u8d85\u957f\u6587\u672c：\u8f93\u5165\u4e00\u6bb5\u975e\u5e38\u957f\u7684\u3001\u975e\u5730\u5740\u7684\u6587\u672c，\u6d4b\u8bd5\u6a21\u578b\u7684\u5065\u58ee\u6027\u3002<\/li>\n
                  • \u7279\u6b8a\u5b57\u7b26：\u5730\u5740\u4e2d\u5305\u542b\u201c#\u201d\u3001\u201c-\u201d\u3001\u201c\/\u201d\u7b49\u7b26\u53f7，\u770b\u89e3\u6790\u662f\u5426\u53d7\u5f71\u54cd\u3002<\/li>\n<\/ul>\n

                    3.4 \u4f9d\u8d56\u5e93\u517c\u5bb9\u6027\u590d\u67e5<\/h4>\n

                    \u8fd9\u662fARM\u90e8\u7f72\u6700\u5bb9\u6613\u51fa\u95ee\u9898\u7684\u5730\u65b9\u3002<\/p>\n

                      \n
                    • \u68c0\u67e5\u5173\u952e\u5e93\u7248\u672c：\u5728Python\u73af\u5883\u4e2d\u8fd0\u884c pip list | grep -E "(torch|transformers|modelscope)"，\u786e\u8ba4\u6240\u6709\u6838\u5fc3\u5e93\u90fd\u5df2\u6210\u529f\u5b89\u88c5\u4e14\u7248\u672c\u517c\u5bb9\u3002<\/li>\n
                    • \u9a8c\u8bc1\u5e95\u5c42\u8ba1\u7b97：\u786e\u4fdd\u6240\u6709Tensor\u8ba1\u7b97\u90fd\u5728CPU\u4e0a\u6b63\u5e38\u8fdb\u884c（MGeo-base\u63a8\u7406\u901a\u5e38\u4e0d\u9700\u8981GPU）\u3002\u53ef\u4ee5\u5c1d\u8bd5\u521b\u5efa\u4e00\u4e2a\u7b80\u5355\u7684PyTorch\u5f20\u91cf\u8fd0\u7b97\u6765\u9a8c\u8bc1\u57fa\u7840\u529f\u80fd\u3002import torch
                      \n# \u7b80\u5355\u6d4b\u8bd5PyTorch\u5728ARM\u4e0a\u662f\u5426\u5de5\u4f5c\u6b63\u5e38
                      \nx = torch.tensor([1.0, 2.0, 3.0])
                      \ny = torch.tensor([4.0, 5.0, 6.0])
                      \nprint("PyTorch ARM \u6d4b\u8bd5:", x + y) # \u5e94\u8f93\u51fa tensor([5., 7., 9.])\n <\/li>\n<\/ul>\n

                      4. \u90e8\u7f72\u603b\u7ed3\u4e0e\u5b9e\u7528\u5efa\u8bae<\/h3>\n

                      \u901a\u8fc7\u4ee5\u4e0a\u6b65\u9aa4，\u6211\u4eec\u6210\u529f\u5728ARM\u670d\u52a1\u5668\u4e0a\u90e8\u7f72\u5e76\u521d\u6b65\u9a8c\u8bc1\u4e86MGeo-base\u5730\u5740\u89e3\u6790\u670d\u52a1\u3002\u56de\u987e\u6574\u4e2a\u8fc7\u7a0b，\u6211\u4eec\u53ef\u4ee5\u5f97\u51fa\u4ee5\u4e0b\u7ed3\u8bba\u548c\u540e\u7eed\u5efa\u8bae：<\/p>\n

                      4.1 \u9a8c\u8bc1\u603b\u7ed3<\/h4>\n
                    • \u90e8\u7f72\u53ef\u884c\u6027：\u4f7f\u7528 modelscope \u548c gradio，\u5728ARM\u67b6\u6784（\u9cb2\u9e4f920）\u4e0a\u90e8\u7f72MGeo-base\u6a21\u578b\u670d\u52a1\u662f\u5b8c\u5168\u53ef\u884c\u7684\u3002\u5176\u8de8\u5e73\u53f0\u517c\u5bb9\u6027\u826f\u597d，\u4e3b\u8981\u4f9d\u8d56\u9879\u5747\u6709ARM\u7248\u672c\u652f\u6301\u3002<\/li>\n
                    • \u529f\u80fd\u5b8c\u6574\u6027：\u6a21\u578b\u7684\u6838\u5fc3\u5730\u5740\u89e3\u6790\u529f\u80fd\u5728ARM\u5e73\u53f0\u4e0a\u8868\u73b0\u6b63\u5e38，\u80fd\u591f\u51c6\u786e\u5904\u7406\u591a\u79cd\u683c\u5f0f\u7684\u4e2d\u6587\u5730\u5740\u8f93\u5165\u3002<\/li>\n
                    • \u6027\u80fd\u8868\u73b0：\u5728\u7eafCPU\u73af\u5883\u4e0b，\u5355\u6b21\u63a8\u7406\u54cd\u5e94\u65f6\u95f4\u5728\u53ef\u63a5\u53d7\u8303\u56f4\u5185，\u80fd\u591f\u6ee1\u8db3\u4e00\u822c\u79bb\u7ebf\u6216\u4e2d\u5c0f\u6d41\u91cf\u5728\u7ebf\u670d\u52a1\u7684\u9700\u6c42\u3002\u5bf9\u4e8e\u9ad8\u6027\u80fd\u8981\u6c42\u573a\u666f，\u53ef\u8003\u8651\u6a21\u578b\u91cf\u5316\u6216\u4f7f\u7528\u9488\u5bf9ARM\u4f18\u5316\u7684\u63a8\u7406\u540e\u7aef（\u5982ONNX Runtime）\u3002<\/li>\n
                    • \u751f\u6001\u9002\u914d：\u6574\u4e2aPython AI\u751f\u6001（PyTorch, Transformers\u7b49）\u5bf9ARM\u67b6\u6784\u7684\u652f\u6301\u5df2\u65e5\u8d8b\u5b8c\u5584，\u4e3a\u56fd\u4ea7\u5316\u73af\u5883\u4e0b\u7684AI\u5e94\u7528\u843d\u5730\u626b\u6e05\u4e86\u57fa\u7840\u969c\u788d\u3002<\/li>\n

                      4.2 \u751f\u4ea7\u73af\u5883\u8fdb\u9636\u5efa\u8bae<\/h4>\n

                      \u5982\u679c\u4f60\u8ba1\u5212\u5c06\u6b64\u9879\u670d\u52a1\u7528\u4e8e\u5b9e\u9645\u751f\u4ea7\u73af\u5883，\u8fd8\u9700\u8981\u8003\u8651\u4ee5\u4e0b\u51e0\u70b9：<\/p>\n

                        \n
                      • \u670d\u52a1\u5316\u4e0eAPI：Gradio\u9002\u5408\u6f14\u793a\u548c\u6d4b\u8bd5\u3002\u751f\u4ea7\u73af\u5883\u5efa\u8bae\u4f7f\u7528\u66f4\u4e13\u4e1a\u7684Web\u6846\u67b6（\u5982FastAPI\u3001Flask）\u5c01\u88c5\u6a21\u578b，\u63d0\u4f9b\u6807\u51c6\u7684RESTful API，\u5e76\u589e\u52a0\u8ba4\u8bc1\u3001\u9650\u6d41\u3001\u65e5\u5fd7\u76d1\u63a7\u7b49\u529f\u80fd\u3002<\/li>\n
                      • \u6027\u80fd\u4f18\u5316：\n
                          \n
                        • \u6a21\u578b\u91cf\u5316：\u4f7f\u7528PyTorch\u7684\u91cf\u5316\u5de5\u5177\u5c06FP32\u6a21\u578b\u8f6c\u6362\u4e3aINT8\u6a21\u578b，\u53ef\u4ee5\u663e\u8457\u51cf\u5c0f\u6a21\u578b\u4f53\u79ef\u3001\u63d0\u5347\u63a8\u7406\u901f\u5ea6，\u5bf9CPU\u5c24\u5176\u53cb\u597d\u3002<\/li>\n
                        • \u6279\u5904\u7406：\u5982\u679c\u8bf7\u6c42\u91cf\u5927，\u53ef\u4ee5\u5b9e\u73b0\u6279\u5904\u7406\u9884\u6d4b，\u4e00\u6b21\u6027\u5904\u7406\u591a\u4e2a\u5730\u5740，\u63d0\u5347\u541e\u5410\u91cf\u3002<\/li>\n
                        • \u7f13\u5b58：\u5bf9\u5e38\u89c1\u3001\u91cd\u590d\u7684\u5730\u5740\u89e3\u6790\u7ed3\u679c\u8fdb\u884c\u7f13\u5b58，\u51cf\u5c11\u4e0d\u5fc5\u8981\u7684\u6a21\u578b\u8ba1\u7b97\u3002<\/li>\n<\/ul>\n<\/li>\n
                        • \u9ad8\u53ef\u7528\u4e0e\u76d1\u63a7：\u4f7f\u7528Docker\u5bb9\u5668\u5316\u90e8\u7f72，\u4fbf\u4e8e\u8fc1\u79fb\u548c\u6269\u5c55\u3002\u7ed3\u5408Kubernetes\u7b49\u7f16\u6392\u5de5\u5177\u5b9e\u73b0\u9ad8\u53ef\u7528\u3002\u63a5\u5165Prometheus\u3001Grafana\u7b49\u76d1\u63a7\u7cfb\u7edf，\u5173\u6ce8\u670d\u52a1\u7684QPS\u3001\u5ef6\u8fdf\u3001\u9519\u8bef\u7387\u7b49\u5173\u952e\u6307\u6807\u3002<\/li>\n
                        • \u5b89\u5168\u8003\u8651：\u786e\u4fdd\u670d\u52a1\u7aef\u53e3（\u59827860）\u4e0d\u76f4\u63a5\u5bf9\u5916\u66b4\u9732，\u5e94\u901a\u8fc7Nginx\u7b49\u53cd\u5411\u4ee3\u7406\u8fdb\u884c\u8f6c\u53d1，\u5e76\u914d\u7f6e\u597d\u9632\u706b\u5899\u89c4\u5219\u3002<\/li>\n<\/ul>\n
                          \n

                          \u83b7\u53d6\u66f4\u591aAI\u955c\u50cf<\/p>\n

                          \u60f3\u63a2\u7d22\u66f4\u591aAI\u955c\u50cf\u548c\u5e94\u7528\u573a\u666f？\u8bbf\u95ee CSDN\u661f\u56fe\u955c\u50cf\u5e7f\u573a，\u63d0\u4f9b\u4e30\u5bcc\u7684\u9884\u7f6e\u955c\u50cf，\u8986\u76d6\u5927\u6a21\u578b\u63a8\u7406\u3001\u56fe\u50cf\u751f\u6210\u3001\u89c6\u9891\u751f\u6210\u3001\u6a21\u578b\u5fae\u8c03\u7b49\u591a\u4e2a\u9886\u57df，\u652f\u6301\u4e00\u952e\u90e8\u7f72\u3002<\/p>\n","protected":false},"excerpt":{"rendered":"

                          MGeo\u95e8\u5740\u89e3\u6790\u90e8\u7f72：ARM\u67b6\u6784\u670d\u52a1\u5668（\u5982\u9cb2\u9e4f920）\u4e0aMGeo-base\u517c\u5bb9\u6027\u9a8c\u8bc1
                          \n\u4f60\u6709\u6ca1\u6709\u9047\u5230\u8fc7\u8fd9\u6837\u7684\u573a\u666f：\u7528\u6237\u586b\u5199\u7684\u6536\u8d27\u5730\u5740\u4e94\u82b1\u516b\u95e8，\u6709\u7684\u5199\u201cXX\u8defXX\u53f7\u201d，\u6709\u7684\u5199\u201cXX\u5c0f\u533aX\u680bX\u5355\u5143\u201d，\u8fd8\u6709\u7684\u5e72\u8106\u53ea\u5199\u4e00\u4e2a\u6a21\u7cca\u7684\u5730\u6807\u3002\u628a\u8fd9\u4e9b\u975e\u7ed3\u6784\u5316\u7684\u5730\u5740\u6587\u672c，\u81ea\u52a8\u89e3\u6790\u6210\u201c\u7701\u3001\u5e02\u3001\u533a\u3001\u8857\u9053\u3001\u95e8\u724c\u53f7\u201d\u8fd9\u6837\u7684\u6807\u51c6\u683c\u5f0f，\u662f\u5f88\u591a\u4e1a\u52a1\u7cfb\u7edf\u5934\u75bc\u7684\u95ee\u9898\u3002
                          \n\u4eca\u5929&#xff0c<\/p>\n","protected":false},"author":2,"featured_media":0,"comment_status":"open","ping_status":"open","sticky":false,"template":"","format":"standard","meta":{"footnotes":""},"categories":[1],"tags":[7591,9321,224],"topic":[],"class_list":["post-83464","post","type-post","status-publish","format-standard","hentry","category-server","tag-ai","tag-9321","tag-224"],"yoast_head":"\nMGeo\u95e8\u5740\u89e3\u6790\u90e8\u7f72\uff1aARM\u67b6\u6784\u670d\u52a1\u5668\uff08\u5982\u9cb2\u9e4f920\uff09\u4e0aMGeo-base\u517c\u5bb9\u6027\u9a8c\u8bc1 - \u7f51\u7855\u4e92\u8054\u5e2e\u52a9\u4e2d\u5fc3<\/title>\n<meta name=\"robots\" content=\"index, follow, max-snippet:-1, max-image-preview:large, max-video-preview:-1\" \/>\n<link rel=\"canonical\" href=\"https:\/\/www.wsisp.com\/helps\/83464.html\" \/>\n<meta property=\"og:locale\" content=\"zh_CN\" \/>\n<meta property=\"og:type\" content=\"article\" \/>\n<meta property=\"og:title\" content=\"MGeo\u95e8\u5740\u89e3\u6790\u90e8\u7f72\uff1aARM\u67b6\u6784\u670d\u52a1\u5668\uff08\u5982\u9cb2\u9e4f920\uff09\u4e0aMGeo-base\u517c\u5bb9\u6027\u9a8c\u8bc1 - 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