{"id":80831,"date":"2026-07-24T22:43:09","date_gmt":"2026-07-24T14:43:09","guid":{"rendered":"https:\/\/www.wsisp.com\/helps\/80831.html"},"modified":"2026-07-24T22:43:09","modified_gmt":"2026-07-24T14:43:09","slug":"%e8%b8%a9%e5%9d%91%e5%ae%9e%e5%bd%95%ef%bc%9a%e7%a6%bb%e7%ba%bf%e5%86%85%e7%bd%91%e6%9c%8d%e5%8a%a1%e5%99%a8-docker-%e9%83%a8%e7%bd%b2-paddleocr-vl-1-5-%e5%ae%8c%e5%85%a8%e6%8c%87%e5%8d%97","status":"publish","type":"post","link":"https:\/\/www.wsisp.com\/helps\/80831.html","title":{"rendered":"\u8e29\u5751\u5b9e\u5f55\uff1a\u79bb\u7ebf\u5185\u7f51\u670d\u52a1\u5668 Docker \u90e8\u7f72 PaddleOCR-VL 1.5 \u5b8c\u5168\u6307\u5357"},"content":{"rendered":"

\u8e29\u5751\u5b9e\u5f55：\u79bb\u7ebf\u5185\u7f51\u670d\u52a1\u5668 Docker \u90e8\u7f72 PaddleOCR-VL 1.5 \u5b8c\u5168\u6307\u5357<\/h2>\n

\u76ee\u6807：\u5728\u516c\u53f8 \u5b8c\u5168\u79bb\u7ebf \u7684\u5185\u7f51\u670d\u52a1\u5668\u4e0a\u90e8\u7f72 OCR \u8bc6\u522b\u670d\u52a1，\u4f9b\u5185\u90e8\u4eba\u5458\u901a\u8fc7 API \u8c03\u7528\u3002<\/p>\n

\u96be\u70b9：\u672c\u5730\u7535\u8111\u4e0d\u80fd\u8bbf\u95ee GitHub\u3001\u670d\u52a1\u5668\u4e0d\u80fd\u8bbf\u95ee\u5916\u7f51\u3001\u516c\u53f8\u7f51\u7edc\u6709\u5404\u79cd\u9650\u5236\u3001\u90e8\u7f72\u8005\u662f\u65b0\u624b\u3002<\/p>\n

\u6574\u4e2a\u8fc7\u7a0b\u5386\u65f6 3 \u5929，\u8de8\u8d8a\u73af\u5883\u51c6\u5907\u3001\u79bb\u7ebf\u4f20\u8f93\u3001\u914d\u7f6e\u4fee\u6b63\u3001API \u8054\u8c03\u56db\u4e2a\u9636\u6bb5，\u6700\u7ec8\u6210\u529f\u4ea4\u4ed8\u3002<\/p>\n

\n

\u4e00\u3001\u80cc\u666f\u4e0e\u76ee\u6807<\/h3>\n

\u516c\u53f8\u6709\u4e00\u6279\u7ef4\u4fdd\u5408\u540c\u7684\u626b\u63cf\u4ef6，\u9700\u8981\u81ea\u52a8\u8bc6\u522b\u5176\u4e2d\u7684\u7edf\u4e00\u793e\u4f1a\u4fe1\u7528\u4ee3\u7801\u3001\u516c\u53f8\u540d\u79f0\u3001\u767b\u8bb0\u673a\u5173\u5370\u7ae0\u3001\u65e5\u671f\u7b49\u5173\u952e\u5b57\u6bb5\u3002\u8fd9\u4e9b\u6587\u4ef6\u901a\u5e38\u5e26\u6709\u5370\u7ae0\u906e\u6321\u3001\u6392\u7248\u9519\u4f4d，\u4f20\u7edf OCR \u5f88\u96be\u5904\u7406\u3002<\/p>\n

\u6211\u4eec\u9009\u62e9\u7684\u65b9\u6848\u662f \u767e\u5ea6\u7684 PaddleOCR VL 1.5\u2014\u2014\u8fd9\u662f\u4e00\u4e2a\u591a\u6a21\u6001\u5927\u6a21\u578b，\u652f\u6301\u7248\u9762\u5206\u6790\u548c\u6587\u5b57\u8bc6\u522b，\u5bf9\u590d\u6742\u6392\u7248\u6709\u5f88\u597d\u7684\u9c81\u68d2\u6027\u3002<\/p>\n

\u53c2\u8003\u7684\u90e8\u7f72\u6848\u4f8b\u6765\u81ea\u535a\u5ba2\u56ed：iamkun2005 \u7684\u90e8\u7f72\u6587\u7ae0\u3002<\/p>\n

\n

\u4e8c\u3001\u73af\u5883\u4e0e\u524d\u7f6e\u51c6\u5907<\/h3>\n

2.1 \u786c\u4ef6\u914d\u7f6e<\/h4>\n\n\u9879\u76ee\u914d\u7f6e<\/tr>\n\n\n\n\n
\u670d\u52a1\u5668 GPU<\/td>\n\u5355\u5f20 NVIDIA L20，46GB \u663e\u5b58<\/td>\n<\/tr>\n
\u672c\u5730\u7535\u8111<\/td>\nWindows + Docker Desktop<\/td>\n<\/tr>\n
\u64cd\u4f5c\u7cfb\u7edf<\/td>\nUbuntu 24.04 (WSL 2)<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

\u867d\u7136\u4e0d\u662f\u539f\u4f5c\u8005\u7684\u53cc\u5361 4090，\u4f46 46GB \u663e\u5b58\u5b8c\u5168\u591f\u7528\u3002<\/p>\n

2.2 \u5173\u952e\u9650\u5236<\/h4>\n
    \n
  • \u672c\u5730\u7535\u8111：\u516c\u53f8\u7f51\u7edc\u5c4f\u853d\u4e86 GitHub，\u4f46\u53ef\u4ee5\u8bbf\u95ee\u56fd\u5185\u955c\u50cf\u7ad9（\u5982 Gitee\u3001\u767e\u5ea6\u955c\u50cf\u4ed3\u5e93）<\/li>\n
  • \u670d\u52a1\u5668：\u5b8c\u5168\u65e0\u6cd5\u8bbf\u95ee\u5916\u7f51，\u53ea\u80fd\u901a\u8fc7 U \u76d8\u6216\u8005\u5185\u7f51\u6587\u4ef6\u5171\u4eab\u4f20\u8f93\u6587\u4ef6<\/li>\n
  • \u8fde\u63a5\u65b9\u5f0f：\u5821\u5792\u673a\u767b\u5f55，\u65e0\u6cd5\u76f4\u63a5\u4f7f\u7528 SSH \u96a7\u9053<\/li>\n<\/ul>\n

    2.3 \u670d\u52a1\u5668\u73af\u5883\u9a8c\u8bc1<\/h4>\n

    \u90e8\u7f72\u524d\u9700\u8981\u5148\u786e\u8ba4\u670d\u52a1\u5668\u7684\u57fa\u7840\u73af\u5883\u662f\u5426\u5c31\u7eea：<\/p>\n

    # GPU \u4fe1\u606f<\/span>
    \nnvidia-smi
    \n# \u8f93\u51fa：NVIDIA L20，46GB \u663e\u5b58，CUDA 12.6 \u2705<\/span><\/p>\n

    # Docker \u7248\u672c<\/span>
    \ndocker<\/span> –version<\/span>
    \n# \u8f93\u51fa：27.3.1 \u2705<\/span><\/p>\n

    # NVIDIA Container Toolkit<\/span>
    \nnvidia-ctk –version<\/span>
    \n# \u8f93\u51fa：1.16.2 \u2705<\/span><\/p>\n

    # \u68c0\u67e5 daemon.json \u4e2d\u7684 nvidia runtime \u914d\u7f6e<\/span>
    \ncat<\/span> \/etc\/docker\/daemon.json
    \n# \u8f93\u51fa：runtimes.nvidia \u5df2\u914d\u7f6e \u2705<\/span><\/p>\n

    \n

    \u4e09\u3001\u7b2c\u4e00\u9636\u6bb5：\u672c\u5730\u7535\u8111\u51c6\u5907\u79bb\u7ebf\u5305<\/h3>\n

    \u56e0\u4e3a\u670d\u52a1\u5668\u4e0d\u80fd\u8054\u7f51，\u6240\u6709\u955c\u50cf\u548c\u914d\u7f6e\u6587\u4ef6\u5fc5\u987b\u5728\u80fd\u8054\u7f51\u7684\u7535\u8111\u4e0a\u51c6\u5907\u597d，\u518d\u62ff\u5230\u670d\u52a1\u5668\u4e0a\u90e8\u7f72\u3002<\/p>\n

    3.1 \u62c9\u53d6 Docker \u955c\u50cf<\/h4>\n

    \u4e24\u4e2a\u955c\u50cf\u90fd\u6765\u81ea\u767e\u5ea6\u7684\u5bb9\u5668\u955c\u50cf\u4ed3\u5e93（\u56fd\u5185\u5730\u5740，\u4e0d\u53d7 GitHub \u9650\u5236）：<\/p>\n

    # \u955c\u50cf 1：\u63a8\u7406\u5f15\u64ce（vLLM \u52a0\u901f）<\/span>
    \ndocker pull ccr-2vdh3abv-pub.<\/span>cnc.<\/span>bj.<\/span>baidubce.<\/span>com\/paddlepaddle\/paddleocr-genai-vllm-server:latest-nvidia-gpu-offline<\/p>\n

    # \u955c\u50cf 2：API \u670d\u52a1（Web \u670d\u52a1\u5668 + \u7248\u9762\u5206\u6790）<\/span>
    \ndocker pull ccr-2vdh3abv-pub.<\/span>cnc.<\/span>bj.<\/span>baidubce.<\/span>com\/paddlepaddle\/paddleocr-vl:latest-nvidia-gpu-offline<\/p>\n

    \u4e24\u4e2a\u955c\u50cf\u603b\u5171\u7ea6 25GB（\u538b\u7f29\u540e），\u4e0b\u8f7d\u9700\u8981 1-2 \u5c0f\u65f6\u3002<\/p>\n

    3.2 \u4fdd\u5b58\u955c\u50cf\u4e3a tar \u6587\u4ef6<\/h4>\n

    \u4e0b\u8f7d\u5b8c\u6210\u540e\u4fdd\u5b58\u4e3a\u79bb\u7ebf\u6587\u4ef6：<\/p>\n

    docker save ccr-2vdh3abv-pub.<\/span>cnc.<\/span>bj.<\/span>baidubce.<\/span>com\/paddlepaddle\/paddleocr-genai-vllm-server:latest-nvidia-gpu-offline –<\/span>o D:\\\\paddleocr-vlm-server.<\/span>tar<\/p>\n

    docker save ccr-2vdh3abv-pub.<\/span>cnc.<\/span>bj.<\/span>baidubce.<\/span>com\/paddlepaddle\/paddleocr-vl:latest-nvidia-gpu-offline –<\/span>o D:\\\\paddleocr-vl-api.<\/span>tar<\/p>\n

    \u6700\u7ec8\u4e24\u4e2a\u6587\u4ef6\u5927\u5c0f：<\/p>\n

      \n
    • paddleocr-vlm-server.tar：6.84 GB<\/li>\n
    • paddleocr-vl-api.tar：5.91 GB<\/li>\n<\/ul>\n

      3.3 \u83b7\u53d6\u914d\u7f6e\u6587\u4ef6<\/h4>\n

      \u56e0\u4e3a GitHub \u6253\u4e0d\u5f00，\u6211\u4eceGitee（\u56fd\u5185\u4ee3\u7801\u6258\u7ba1\u5e73\u53f0）\u83b7\u53d6\u4e86\u5b98\u65b9\u914d\u7f6e\u6587\u4ef6：<\/p>\n

      https:\/\/gitee.com\/paddlepaddle\/PaddleOCR\/tree\/main\/deploy\/paddleocr_vl_docker\/accelerators\/nvidia-gpu<\/p>\n

      \u6838\u5fc3\u9700\u8981\u7684 3 \u4e2a\u6587\u4ef6：<\/p>\n

    • .env：\u5b9a\u4e49\u955c\u50cf\u7248\u672c\u53f7\u548c\u73af\u5883\u53d8\u91cf<\/li>\n
    • compose.yaml：Docker Compose \u7f16\u6392\u6587\u4ef6<\/li>\n
    • pipeline_config_vllm.yaml：OCR \u6d41\u6c34\u7ebf\u914d\u7f6e（\u7248\u9762\u5206\u6790\u3001\u6587\u5b57\u8bc6\u522b\u7684\u5177\u4f53\u53c2\u6570）<\/li>\n

      \u26a0\ufe0f \u5173\u952e\u6559\u8bad：\u4e00\u5f00\u59cb\u6211\u624b\u5199\u4e86\u4e00\u4e2a docker-compose.yml，\u4f46\u7f3a\u5c11\u542f\u52a8\u547d\u4ee4\u548c\u73af\u5883\u53d8\u91cf，\u5bfc\u81f4\u670d\u52a1\u8d77\u4e0d\u6765\u3002\u52a1\u5fc5\u4f7f\u7528\u5b98\u65b9\u914d\u7f6e\u6587\u4ef6\u3002<\/p>\n

      \n

      \u56db\u3001\u7b2c\u4e8c\u9636\u6bb5：\u6587\u4ef6\u4f20\u8f93\u4e0e\u670d\u52a1\u5668\u52a0\u8f7d<\/h3>\n

      4.1 \u6587\u4ef6\u4f20\u8f93<\/h4>\n

      \u628a\u672c\u5730\u51c6\u5907\u597d\u7684 3 \u4e2a\u6587\u4ef6\u4f20\u5230\u670d\u52a1\u5668\u4e0a：<\/p>\n

        \n
      • paddleocr-vlm-server.tar<\/li>\n
      • paddleocr-vl-api.tar<\/li>\n
      • compose.yaml\u3001.env\u3001pipeline_config_vllm.yaml<\/li>\n<\/ul>\n

        \u6211\u653e\u5728\u4e86 \/root\/hjl\/paddleocr-deploy\/ \u76ee\u5f55\u4e0b\u3002<\/p>\n

        4.2 \u52a0\u8f7d\u955c\u50cf<\/h4>\n

        cd<\/span> \/root\/hjl\/paddleocr-deploy\/
        \ndocker<\/span> load -i<\/span> \/root\/hjl\/paddleocr-vlm-server.tar
        \ndocker<\/span> load -i<\/span> \/root\/hjl\/paddleocr-vl-api.tar<\/p>\n

        \u9a8c\u8bc1：<\/p>\n

        docker<\/span> images |<\/span> grep<\/span> paddleocr
        \n# \u770b\u5230\u4e24\u4e2a\u955c\u50cf，\u5927\u5c0f\u5206\u522b\u4e3a 14.4GB \u548c 10.5GB \u2705<\/span><\/p>\n

        4.3 \u7aef\u53e3\u51b2\u7a81\u4fee\u6b63<\/h4>\n

        \u5b98\u65b9\u914d\u7f6e\u6587\u4ef6\u9ed8\u8ba4\u4e24\u4e2a\u670d\u52a1\u90fd\u7528 8080 \u7aef\u53e3，\u4f46\u670d\u52a1\u5668\u4e0a\u5df2\u7ecf\u8dd1\u7740 Kubernetes，\u53ef\u80fd\u4f1a\u6709\u7aef\u53e3\u51b2\u7a81\u3002\u6211\u628a\u6620\u5c04\u7aef\u53e3\u6539\u6210\u4e86：<\/p>\n

          \n
        • API \u670d\u52a1：\u5bbf\u4e3b\u673a\u7684 6511 \u2192 \u5bb9\u5668\u5185 8080<\/li>\n
        • \u63a8\u7406\u5f15\u64ce：\u4e0d\u5bf9\u5916\u66b4\u9732（\u4ec5\u5185\u90e8\u901a\u4fe1）<\/li>\n<\/ul>\n

          # compose.yaml \u4fee\u6b63\u90e8\u5206<\/span>
          \npaddleocr-vl-api<\/span>:<\/span>
          \n ports<\/span>:<\/span>
          \n –<\/span> "6511:8080"<\/span> # \u539f\u6765\u662f 8080:8080<\/span><\/p>\n

          4.4 \u9632\u706b\u5899\u653e\u884c<\/h4>\n

          \u670d\u52a1\u5668\u672c\u5730\u9632\u706b\u5899\u6ca1\u6709\u62e6\u622a 6511 \u7aef\u53e3，\u4f46\u516c\u53f8\u7f51\u7edc\u8bbe\u5907（\u4ea4\u6362\u673a\/ACL）\u9650\u5236\u4e86\u975e\u6807\u51c6\u7aef\u53e3\u3002\u6700\u540e\u662f\u63d0\u5de5\u5355\u8bf7\u7f51\u7edc\u7ba1\u7406\u5458\u653e\u884c\u4e86 10.13.13.221:6511\u3002<\/p>\n

          \n

          \u4e94\u3001\u7b2c\u4e09\u9636\u6bb5：\u542f\u52a8\u670d\u52a1\u4e0e\u9a8c\u8bc1<\/h3>\n

          5.1 \u542f\u52a8<\/h4>\n

          cd<\/span> \/root\/hjl\/paddleocr-deploy &&<\/span> docker<\/span> compose up -d<\/span><\/p>\n

          \u542f\u52a8\u5f88\u5feb（\u7ea6 95 \u79d2），\u4e24\u4e2a\u5bb9\u5668\u90fd\u662f healthy \u72b6\u6001：<\/p>\n

          docker<\/span> ps<\/span>
          \n# paddleocr-vlm-server Up (healthy) 8080\/tcp<\/span>
          \n# paddleocr-vl-api Up (healthy) 6511\u21928080\/tcp<\/span><\/p>\n

          5.2 \u5065\u5eb7\u68c0\u67e5<\/h4>\n

          curl<\/span> http:\/\/localhost:6511\/health
          \n# {"errorCode":0,"errorMsg":"Healthy"} \u2705<\/span><\/p>\n

          5.3 \u9a8c\u8bc1 GPU \u5360\u7528<\/h4>\n

          nvidia-smi
          \n# GPU \u663e\u5b58\u5360\u7528\u7ea6 20GB \/ 46GB，VLLM::EngineCore \u5360\u7528\u4e3b\u8981\u663e\u5b58 \u2705<\/span><\/p>\n

          \n

          \u516d\u3001\u7b2c\u56db\u9636\u6bb5：API \u8054\u8c03（\u6700\u5927\u7684\u5751）<\/h3>\n

          6.1 \u95ee\u9898：curl \u8c03\u7528\u8fd4\u56de 422<\/h4>\n

          \u6211\u60f3\u7528\u6587\u4ef6\u4e0a\u4f20\u7684\u65b9\u5f0f\u8c03\u7528：<\/p>\n

          curl<\/span> -X<\/span> POST http:\/\/localhost:6511\/layout-parsing -F<\/span> "file=@\/root\/hjl\/3.jpg"<\/span><\/p>\n

          \u8fd4\u56de：<\/p>\n

          {<\/span>"errorCode"<\/span>:<\/span> 422<\/span>,<\/span> "errorMsg"<\/span>:<\/span> "Input should be a valid dictionary…"<\/span>}<\/span><\/p>\n

          6.2 \u6392\u67e5\u53d1\u73b0：API \u63a5\u53d7 JSON，\u4e0d\u662f Form Data<\/h4>\n

          \u67e5\u770b OpenAPI \u6587\u6863：<\/p>\n

          curl<\/span> http:\/\/localhost:6511\/openapi.json |<\/span> python3 -m<\/span> json.tool<\/p>\n

          \u53d1\u73b0 \/layout-parsing \u63a5\u53d7\u7684\u662f JSON，file \u5b57\u6bb5\u7c7b\u578b\u662f string，\u9700\u8981\u4f20 Base64 \u7f16\u7801\u3002<\/p>\n

          6.3 \u6b63\u786e\u7684\u8c03\u7528\u65b9\u5f0f<\/h4>\n

          \u6700\u7ec8\u6210\u529f\u7684\u8bf7\u6c42\u4f53：<\/p>\n

          {<\/span>
          \n "file"<\/span>:<\/span> "Base64\u7f16\u7801\u7684\u56fe\u7247\u5b57\u7b26\u4e32"<\/span>,<\/span>
          \n "fileType"<\/span>:<\/span> 1<\/span>
          \n}<\/span><\/p>\n

          \u5173\u952e\u53c2\u6570：<\/p>\n

            \n
          • fileType: 0 \u2192 \u6587\u4ef6\u8def\u5f84（\u5982 \/home\/user\/doc.pdf）<\/li>\n
          • fileType: 1 \u2192 Base64 \u7f16\u7801\u7684\u4e8c\u8fdb\u5236\u6570\u636e<\/li>\n<\/ul>\n

            💡 \u6838\u5fc3\u6559\u8bad：\u6211\u5728\u8fd9\u4e00\u6b65\u5361\u4e86\u6574\u6574 2 \u4e2a\u5c0f\u65f6，\u8bd5\u4e86\u7eaf Base64\u3001\u5e26 data:image\/… \u524d\u7f00\u3001file:\/\/ \u534f\u8bae\u90fd\u4e0d\u884c\u3002\u6700\u540e\u53d1\u73b0\u662f fileType \u53c2\u6570\u7528\u9519\u4e86\u2014\u2014\u4f20 0 \u7684\u8bdd API \u4f1a\u628a base64 \u5b57\u7b26\u4e32\u5f53\u6210\u6587\u4ef6\u8def\u5f84\u53bb\u89e3\u6790，\u81ea\u7136\u627e\u4e0d\u5230\u6587\u4ef6\u3002<\/p>\n

            6.4 \u6700\u7ec8\u6210\u529f<\/h4>\n

            Swagger \u9875\u9762\u4e0a\u6d4b\u8bd5\u901a\u8fc7：http:\/\/10.13.13.221:6511\/docs，\u76f4\u63a5\u4e0a\u4f20\u56fe\u7247\u5373\u53ef\u5f97\u5230\u8bc6\u522b\u7ed3\u679c\u3002<\/p>\n

            \u8bc6\u522b\u7684\u793a\u4f8b（\u4e00\u5f20\u8bbe\u5907\u8bc6\u522b\u5361）：<\/p>\n

            [doc_title] \u8bbe\u5907\u8bc6\u522b\u5361
            \n[text] SMT-CV-1471
            \n[text] \u578b\u53f7：YCS-G042
            \n[text] \u5382\u5546：JuDi
            \n[text] \u5e8f\u5217\u53f7：0191730
            \n[text] \u56fa\u5b9a\u8d44\u4ea7：NA
            \n[footer] \u56de\u975e\u5173\u5065\u8bbe\u5907<\/p>\n

            \n

            \u4e03\u3001\u603b\u7ed3\u4e0e\u7ecf\u9a8c<\/h3>\n

            7.1 \u8e29\u8fc7\u7684\u5751 & \u89e3\u51b3\u65b9\u6848<\/h4>\n\n\u95ee\u9898\u8868\u73b0\u89e3\u51b3<\/tr>\n\n\n\n\n\n\n\n
            GitHub \u65e0\u6cd5\u8bbf\u95ee<\/td>\n\u83b7\u53d6\u4e0d\u4e86\u914d\u7f6e\u6587\u4ef6<\/td>\n\u7528 Gitee \u66ff\u4ee3<\/td>\n<\/tr>\n
            Docker Desktop \u5b89\u88c5<\/td>\n\u6743\u9650\u9519\u8bef<\/td>\n\u4ee5\u7ba1\u7406\u5458\u8eab\u4efd\u8fd0\u884c，\u6e05\u7406\u6b8b\u7559<\/td>\n<\/tr>\n
            \u624b\u5199\u914d\u7f6e\u6587\u4ef6\u4e0d\u5b8c\u6574<\/td>\n\u7f3a\u5c11\u542f\u52a8\u547d\u4ee4\/\u6a21\u578b\u6302\u8f7d<\/td>\n\u4f7f\u7528\u5b98\u65b9\u914d\u7f6e\u6587\u4ef6<\/td>\n<\/tr>\n
            \u7aef\u53e3\u51b2\u7a81<\/td>\n\u9ed8\u8ba4 8080 \u88ab\u5360\u7528<\/td>\n\u6539\u4e3a 6511 \u5e76\u7533\u8bf7\u9632\u706b\u5899\u653e\u884c<\/td>\n<\/tr>\n
            API \u8c03\u7528 422 \u9519\u8bef<\/td>\ncurl \u53c2\u6570\u683c\u5f0f\u4e0d\u5bf9<\/td>\n\u7528 JSON + Base64 + fileType=1<\/td>\n<\/tr>\n
            \u5821\u5792\u673a\u65e0\u6cd5 SSH \u96a7\u9053<\/td>\n\u7aef\u53e3\u88ab\u516c\u53f8\u7f51\u7edc\u5c01\u9501<\/td>\n\u63d0\u5de5\u5355\u8bf7\u7ba1\u7406\u5458\u653e\u884c<\/td>\n<\/tr>\n<\/tbody>\n<\/table>\n

            7.2 \u6838\u5fc3\u8981\u70b9<\/h4>\n
          • \u914d\u7f6e\u6587\u4ef6\u5fc5\u987b\u7528\u5b98\u65b9\u7684：\u624b\u5199\u7684\u7f3a\u80f3\u818a\u5c11\u817f，\u5f88\u5bb9\u6613\u6f0f\u6389\u542f\u52a8\u547d\u4ee4\u548c\u6d41\u6c34\u7ebf\u914d\u7f6e<\/li>\n
          • \u7aef\u53e3\u51b2\u7a81\u8981\u63d0\u524d\u89c4\u5212：\u5c24\u5176\u662f\u8dd1\u7740\u5176\u4ed6\u670d\u52a1\u7684\u751f\u4ea7\u670d\u52a1\u5668<\/li>\n
          • fileType \u53c2\u6570\u662f\u8c03\u8bd5 API \u7684\u5173\u952e：0 \u662f\u6587\u4ef6\u8def\u5f84，1 \u662f Base64 \u7f16\u7801<\/li>\n
          • \u5065\u5eb7\u68c0\u67e5\u5f88\u91cd\u8981：vlm-server \u52a0\u8f7d\u6a21\u578b\u9700\u8981\u65f6\u95f4，API \u670d\u52a1\u4f9d\u8d56\u5b83 healthy \u540e\u624d\u80fd\u542f\u52a8<\/li>\n
          • Swagger UI \u6bd4 curl \u65b9\u4fbf：FastAPI \u81ea\u5e26\u7684\u754c\u9762\u80fd\u81ea\u52a8\u5904\u7406\u53c2\u6570\u6821\u9a8c，\u8c03\u8bd5\u6548\u7387\u9ad8\u5f88\u591a<\/li>\n

            7.3 \u90e8\u7f72\u6e05\u5355\u901f\u67e5<\/h4>\n

            # \u505c\u6b62\u670d\u52a1<\/span>
            \ncd<\/span> \/root\/hjl\/paddleocr-deploy &&<\/span> docker<\/span> compose down<\/p>\n

            # \u542f\u52a8\u670d\u52a1<\/span>
            \ncd<\/span> \/root\/hjl\/paddleocr-deploy &&<\/span> docker<\/span> compose up -d<\/span><\/p>\n

            # \u67e5\u770b\u65e5\u5fd7<\/span>
            \ndocker<\/span> logs paddleocr-vl-api –tail<\/span> 20<\/span>
            \ndocker<\/span> logs paddleocr-vlm-server –tail<\/span> 20<\/span><\/p>\n

            # \u67e5\u770b GPU<\/span>
            \nnvidia-smi<\/p>\n

            # \u5065\u5eb7\u68c0\u67e5<\/span>
            \ncurl<\/span> http:\/\/localhost:6511\/health<\/p>\n

            \n

            \u9644\u5f55：\u6838\u5fc3\u914d\u7f6e\u6587\u4ef6\u8be6\u89e3<\/h3>\n

            \u4ee5\u4e0b\u662f\u90e8\u7f72\u4e2d\u7528\u5230\u7684\u4e09\u4e2a\u5173\u952e\u914d\u7f6e\u6587\u4ef6，\u5e26\u6ce8\u91ca\u8bf4\u660e\u5404\u53c2\u6570\u542b\u4e49，\u65b9\u4fbf\u540e\u7eed\u7ef4\u62a4\u548c\u8c03\u4f18\u3002<\/p>\n

            1. .env \u2014 \u73af\u5883\u53d8\u91cf\u6587\u4ef6<\/h4>\n

            # \u8bbe\u7f6e\u955c\u50cf\u7684\u540e\u7f00\u6807\u7b7e，\u4e0e\u79bb\u7ebf\u955c\u50cf\u7684 tag \u4fdd\u6301\u4e00\u81f4<\/span>
            \nAPI_IMAGE_TAG_SUFFIX<\/span>=<\/span>latest-nvidia-gpu-offline # API \u670d\u52a1\u955c\u50cf\u7684\u7248\u672c\u6807\u7b7e<\/span>
            \nVLM_BACKEND<\/span>=<\/span>vllm # \u63a8\u7406\u540e\u7aef，\u76ee\u524d\u4ec5\u652f\u6301 vllm<\/span>
            \nVLM_IMAGE_TAG_SUFFIX<\/span>=<\/span>latest-nvidia-gpu-offline # \u63a8\u7406\u5f15\u64ce\u955c\u50cf\u7684\u7248\u672c\u6807\u7b7e<\/span><\/p>\n

            \u8bf4\u660e：compose.yaml \u4f1a\u5f15\u7528\u8fd9\u4e9b\u53d8\u91cf\u6765\u62fc\u63a5\u5b8c\u6574\u7684\u955c\u50cf\u540d\u79f0，\u8fd9\u6837\u5207\u6362\u7248\u672c\u65f6\u53ea\u9700\u4fee\u6539 env \u6587\u4ef6\u3002<\/p>\n

            2. compose.yaml \u2014 Docker Compose \u7f16\u6392\u6587\u4ef6<\/h4>\n

            services<\/span>:<\/span>
            \n # ========== OCR API \u670d\u52a1 ==========<\/span>
            \n paddleocr-vl-api<\/span>:<\/span>
            \n # \u955c\u50cf\u7531\u57fa\u7840\u540d\u79f0 + env \u4e2d\u7684\u6807\u7b7e\u62fc\u63a5\u800c\u6210<\/span>
            \n image<\/span>:<\/span> ccr–<\/span>2vdh3abv–<\/span>pub.cnc.bj.baidubce.com\/paddlepaddle\/paddleocr–<\/span>vl:<\/span>${<\/span>API_IMAGE_TAG_SUFFIX}<\/span>
            \n container_name<\/span>:<\/span> paddleocr–<\/span>vl–<\/span>api
            \n ports<\/span>:<\/span>
            \n –<\/span> "6511:8080"<\/span> # \u5c06\u5bb9\u5668\u5185\u7684 8080 \u7aef\u53e3\u6620\u5c04\u5230\u5bbf\u4e3b\u673a\u7684 6511，\u907f\u514d\u4e0e\u73b0\u6709\u670d\u52a1\u51b2\u7a81<\/span>
            \n depends_on<\/span>:<\/span>
            \n paddleocr-vlm-server<\/span>:<\/span>
            \n condition<\/span>:<\/span> service_healthy # \u5fc5\u987b\u7b49\u63a8\u7406\u5f15\u64ce\u5065\u5eb7\u540e\u624d\u542f\u52a8<\/span>
            \n deploy<\/span>:<\/span>
            \n resources<\/span>:<\/span>
            \n reservations<\/span>:<\/span>
            \n devices<\/span>:<\/span>
            \n –<\/span> driver<\/span>:<\/span> nvidia
            \n device_ids<\/span>:<\/span> [<\/span>"0"<\/span>]<\/span> # \u4f7f\u7528\u7b2c\u4e00\u5757 GPU<\/span>
            \n capabilities<\/span>:<\/span> [<\/span>gpu]<\/span>
            \n user<\/span>:<\/span> root
            \n restart<\/span>:<\/span> unless–<\/span>stopped
            \n environment<\/span>:<\/span>
            \n –<\/span> VLM_BACKEND=${<\/span>VLM_BACKEND:<\/span>–<\/span>vllm}<\/span> # \u8bbe\u7f6e\u63a8\u7406\u540e\u7aef\u7c7b\u578b<\/span>
            \n volumes<\/span>:<\/span>
            \n # \u5c06\u6d41\u6c34\u7ebf\u914d\u7f6e\u6587\u4ef6\u6302\u8f7d\u5230\u5bb9\u5668\u5185，\u53ea\u8bfb\u6a21\u5f0f<\/span>
            \n –<\/span> .\/pipeline_config_vllm.yaml:<\/span>\/home\/paddleocr\/pipeline_config_vllm.yaml:<\/span>ro
            \n command<\/span>:<\/span> \/bin\/bash –<\/span>c "paddlex –<\/span>–<\/span>serve –<\/span>–<\/span>pipeline \/home\/paddleocr\/pipeline_config_${<\/span>VLM_BACKEND}<\/span>.yaml"
            \n healthcheck<\/span>:<\/span>
            \n test<\/span>:<\/span> [<\/span>"CMD-SHELL"<\/span>,<\/span> "curl -f http:\/\/localhost:8080\/health || exit 1"<\/span>]<\/span><\/p>\n

            # ========== \u63a8\u7406\u5f15\u64ce\u670d\u52a1 ==========<\/span>
            \n paddleocr-vlm-server<\/span>:<\/span>
            \n image<\/span>:<\/span> ccr–<\/span>2vdh3abv–<\/span>pub.cnc.bj.baidubce.com\/paddlepaddle\/paddleocr–<\/span>genai–<\/span>${<\/span>VLM_BACKEND}<\/span>–<\/span>server:<\/span>${<\/span>VLM_IMAGE_TAG_SUFFIX}<\/span>
            \n container_name<\/span>:<\/span> paddleocr–<\/span>vlm–<\/span>server
            \n deploy<\/span>:<\/span>
            \n resources<\/span>:<\/span>
            \n reservations<\/span>:<\/span>
            \n devices<\/span>:<\/span>
            \n –<\/span> driver<\/span>:<\/span> nvidia
            \n device_ids<\/span>:<\/span> [<\/span>"0"<\/span>]<\/span>
            \n capabilities<\/span>:<\/span> [<\/span>gpu]<\/span>
            \n user<\/span>:<\/span> root
            \n restart<\/span>:<\/span> unless–<\/span>stopped
            \n healthcheck<\/span>:<\/span>
            \n test<\/span>:<\/span> [<\/span>"CMD-SHELL"<\/span>,<\/span> "curl -f http:\/\/localhost:8080\/health || exit 1"<\/span>]<\/span>
            \n start_period<\/span>:<\/span> 300s # \u6a21\u578b\u52a0\u8f7d\u9700\u8981\u8f83\u957f\u65f6\u95f4，\u524d 5 \u5206\u949f\u4e0d\u62a5\u9519<\/span><\/p>\n

            \u8bf4\u660e：<\/p>\n

              \n
            • \u4e24\u4e2a\u5bb9\u5668\u901a\u8fc7 Docker \u5185\u90e8\u7f51\u7edc\u901a\u4fe1，\u63a8\u7406\u5f15\u64ce\u4e0d\u5bf9\u5916\u66b4\u9732\u7aef\u53e3，\u53ea\u63a5\u53d7 API \u670d\u52a1\u7684\u8bf7\u6c42\u3002<\/li>\n
            • start_period: 300s \u7ed9\u4e86\u63a8\u7406\u5f15\u64ce\u5145\u8db3\u7684\u6a21\u578b\u52a0\u8f7d\u65f6\u95f4，\u907f\u514d\u9891\u7e41\u91cd\u542f\u3002<\/li>\n<\/ul>\n

              3. pipeline_config_vllm.yaml \u2014 OCR \u6d41\u6c34\u7ebf\u914d\u7f6e<\/h4>\n

              pipeline_name<\/span>:<\/span> PaddleOCR–<\/span>VL–<\/span>1.5<\/span> # \u6d41\u6c34\u7ebf\u540d\u79f0<\/span><\/p>\n

              batch_size<\/span>:<\/span> 64<\/span> # \u5168\u5c40\u6279\u5904\u7406\u5927\u5c0f<\/span>
              \nuse_queues<\/span>:<\/span> True<\/span> # \u542f\u7528\u4efb\u52a1\u961f\u5217，\u63d0\u9ad8\u5e76\u53d1\u6027\u80fd<\/span><\/p>\n

              # —- \u529f\u80fd\u5f00\u5173 —-<\/span>
              \nuse_doc_preprocessor<\/span>:<\/span> False<\/span> # \u662f\u5426\u542f\u7528\u6587\u6863\u9884\u5904\u7406（\u5982\u6821\u6b63\u65b9\u5411\u3001\u5c55\u5e73）<\/span>
              \nuse_layout_detection<\/span>:<\/span> True<\/span> # \u662f\u5426\u8fdb\u884c\u7248\u9762\u5206\u6790（\u68c0\u6d4b\u533a\u57df）<\/span>
              \nuse_chart_recognition<\/span>:<\/span> False<\/span> # \u662f\u5426\u8bc6\u522b\u56fe\u8868（\u6211\u4eec\u76ee\u524d\u7528\u4e0d\u5230）<\/span>
              \nuse_seal_recognition<\/span>:<\/span> False<\/span> # \u662f\u5426\u8bc6\u522b\u5370\u7ae0（\u5408\u540c\u4e2d\u53ef\u80fd\u6709，\u4f46\u8fd9\u91cc\u6682\u4e0d\u542f\u7528）<\/span>
              \nformat_block_content<\/span>:<\/span> False<\/span> # \u662f\u5426\u5bf9\u8bc6\u522b\u7ed3\u679c\u8fdb\u884c\u683c\u5f0f\u5316<\/span>
              \nmerge_layout_blocks<\/span>:<\/span> True<\/span> # \u662f\u5426\u5408\u5e76\u76f8\u90bb\u7684\u76f8\u540c\u533a\u57df<\/span><\/p>\n

              # \u5728 Markdown \u8f93\u51fa\u4e2d\u5ffd\u7565\u7684\u6807\u7b7e\u7c7b\u578b（\u5982\u9875\u7801\u3001\u9875\u7709\u9875\u811a\u7b49）<\/span>
              \nmarkdown_ignore_labels<\/span>:<\/span>
              \n –<\/span> number
              \n –<\/span> footnote
              \n –<\/span> header
              \n –<\/span> header_image
              \n –<\/span> footer
              \n –<\/span> footer_image
              \n –<\/span> aside_text<\/p>\n

              # —- \u5b50\u6a21\u5757\u914d\u7f6e —-<\/span>
              \nSubModules<\/span>:<\/span>
              \n # \u7248\u9762\u68c0\u6d4b\u6a21\u5757<\/span>
              \n LayoutDetection<\/span>:<\/span>
              \n module_name<\/span>:<\/span> layout_detection
              \n model_name<\/span>:<\/span> PP–<\/span>DocLayoutV3 # \u4f7f\u7528\u7684\u7248\u9762\u5206\u6790\u6a21\u578b<\/span>
              \n model_dir<\/span>:<\/span> null<\/span> # null \u8868\u793a\u4ece\u5b98\u65b9\u7f13\u5b58\u76ee\u5f55\u52a0\u8f7d<\/span>
              \n batch_size<\/span>:<\/span> 8<\/span>
              \n threshold<\/span>:<\/span> 0.3<\/span> # \u68c0\u6d4b\u7f6e\u4fe1\u5ea6\u9608\u503c<\/span>
              \n layout_nms<\/span>:<\/span> True<\/span> # \u542f\u7528\u975e\u6781\u5927\u503c\u6291\u5236，\u53bb\u9664\u91cd\u53e0\u6846<\/span>
              \n layout_unclip_ratio<\/span>:<\/span> [<\/span>1.0<\/span>,<\/span> 1.0<\/span>]<\/span> # \u68c0\u6d4b\u6846\u7684\u6269\u5c55\u6bd4\u4f8b<\/span>
              \n layout_merge_bboxes_mode<\/span>:<\/span> # \u9488\u5bf9\u4e0d\u540c\u6807\u7b7e\u7684\u5408\u5e76\u7b56\u7565<\/span>
              \n 0<\/span>:<\/span> "union"<\/span> # abstract<\/span>
              \n 1<\/span>:<\/span> "union"<\/span> # algorithm<\/span>
              \n # …（\u5171 25 \u4e2a\u7c7b\u522b，\u7bc7\u5e45\u539f\u56e0\u4e0d\u5168\u90e8\u5217\u51fa）<\/span>
              \n 24<\/span>:<\/span> "union"<\/span> # vision_footnote<\/span><\/p>\n

              # \u89c6\u89c9\u8bed\u8a00\u8bc6\u522b\u6a21\u5757（\u6838\u5fc3 OCR \u6a21\u578b）<\/span>
              \n VLRecognition<\/span>:<\/span>
              \n module_name<\/span>:<\/span> vl_recognition
              \n model_name<\/span>:<\/span> PaddleOCR–<\/span>VL–<\/span>1.5–<\/span>0.9B # 1.5 \u7248\u672c\u7684 0.9B \u53c2\u6570\u6a21\u578b<\/span>
              \n model_dir<\/span>:<\/span> null<\/span>
              \n batch_size<\/span>:<\/span> 4096<\/span> # VL \u6a21\u578b\u7684\u63a8\u7406\u6279\u5927\u5c0f<\/span>
              \n genai_config<\/span>:<\/span>
              \n backend<\/span>:<\/span> vllm–<\/span>server # \u4f7f\u7528 vLLM \u63a8\u7406\u540e\u7aef<\/span>
              \n server_url<\/span>:<\/span> http:<\/span>\/\/paddleocr–<\/span>vlm–<\/span>server:<\/span>8080\/v1 # \u63a8\u7406\u5f15\u64ce\u5730\u5740<\/span><\/p>\n

              # —- \u5b50\u6d41\u6c34\u7ebf：\u6587\u6863\u9884\u5904\u7406（\u5982\u679c\u542f\u7528） —-<\/span>
              \nSubPipelines<\/span>:<\/span>
              \n DocPreprocessor<\/span>:<\/span>
              \n pipeline_name<\/span>:<\/span> doc_preprocessor
              \n batch_size<\/span>:<\/span> 8<\/span>
              \n use_doc_orientation_classify<\/span>:<\/span> True<\/span> # \u81ea\u52a8\u6821\u6b63\u6587\u6863\u65b9\u5411<\/span>
              \n use_doc_unwarping<\/span>:<\/span> True<\/span> # \u81ea\u52a8\u5c55\u5e73\u5f2f\u66f2\u7684\u6587\u6863<\/span>
              \n SubModules<\/span>:<\/span>
              \n # \u65b9\u5411\u5206\u7c7b\u6a21\u578b<\/span>
              \n DocOrientationClassify<\/span>:<\/span>
              \n module_name<\/span>:<\/span> doc_text_orientation
              \n model_name<\/span>:<\/span> PP–<\/span>LCNet_x1_0_doc_ori
              \n model_dir<\/span>:<\/span> null<\/span>
              \n batch_size<\/span>:<\/span> 8<\/span>
              \n # \u6587\u6863\u5c55\u5e73\u6a21\u578b<\/span>
              \n DocUnwarping<\/span>:<\/span>
              \n module_name<\/span>:<\/span> image_unwarping
              \n model_name<\/span>:<\/span> UVDoc
              \n model_dir<\/span>:<\/span> null<\/span><\/p>\n

              # —- \u670d\u52a1\u914d\u7f6e —-<\/span>
              \nServing<\/span>:<\/span>
              \n extra<\/span>:<\/span>
              \n max_num_input_imgs<\/span>:<\/span> null<\/span> # \u5355\u6b21\u8bf7\u6c42\u6700\u5927\u56fe\u7247\u6570，null \u8868\u793a\u4e0d\u9650\u5236<\/span><\/p>\n

              \u8bf4\u660e：<\/p>\n

                \n
              • \u8fd9\u4efd\u914d\u7f6e\u51b3\u5b9a\u4e86 OCR \u5f15\u64ce\u600e\u4e48\u8bc6\u522b\u4e00\u5f20\u56fe\u3002\u4f8b\u5982\u6211\u4eec\u5173\u95ed\u4e86 use_chart_recognition \u548c use_seal_recognition，\u56e0\u4e3a\u5408\u540c\u573a\u666f\u4e0b\u5b83\u4eec\u53ef\u80fd\u4f1a\u5f15\u5165\u8bef\u68c0\u3002<\/li>\n
              • VLRecognition \u4e2d\u7684 server_url \u5fc5\u987b\u4e0e compose.yaml \u4e2d\u7684\u670d\u52a1\u540d\u4e00\u81f4（paddleocr-vlm-server:8080），\u56e0\u4e3a Docker \u5185\u90e8 DNS \u4f1a\u89e3\u6790\u8fd9\u4e2a\u540d\u79f0\u3002<\/li>\n
              • \u5982\u679c\u672a\u6765\u9700\u8981\u8bc6\u522b\u5370\u7ae0，\u53ea\u9700\u5c06 use_seal_recognition \u6539\u4e3a True \u5e76\u91cd\u542f\u5bb9\u5668\u5373\u53ef\u3002<\/li>\n<\/ul>\n
                \n

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