8
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使用AI对象检测、CDN和ElasticSearch构建您自己的图像搜索

高级

这是一个AI领域的自动化工作流，包含 17 个节点。主要使用 Set, Filter, SplitOut, EditImage, HttpRequest 等节点，结合人工智能技术实现智能自动化。 使用AI对象检测、CDN和ElasticSearch构建您自己的图像搜索

前置要求
  • •可能需要目标 API 的认证凭证

使用的节点 (17)

Set
Filter
SplitOut
EditImage
StickyNote
HttpRequest
Elasticsearch
ManualTrigger

分类

人工智能
工作流预览
可视化展示节点连接关系，支持缩放和平移
React Flow
导出工作流
复制以下 JSON 配置到 n8n 导入，即可使用此工作流
{
  "meta": {
    "instanceId": "26ba763460b97c249b82942b23b6384876dfeb9327513332e743c5f6219c2b8e"
  },
  "nodes": [
    {
      "id": "6359f725-1ede-4b05-bc19-05a7e85c0865",
      "name": "当点击“测试工作流”时",
      "type": "n8n-nodes-base.manualTrigger",
      "position": [
        680,
        292
      ],
      "parameters": {},
      "typeVersion": 1
    },
    {
      "id": "9e1e61c7-f5fd-4e8a-99a6-ccc5a24f5528",
      "name": "获取源图像",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1000,
        292
      ],
      "parameters": {
        "url": "={{ $json.source_image }}",
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
      "id": "9b1b94cf-3a7d-4c43-ab6c-8df9824b5667",
      "name": "仅分离结果",
      "type": "n8n-nodes-base.splitOut",
      "position": [
        1428,
        323
      ],
      "parameters": {
        "options": {},
        "fieldToSplitOut": "result"
      },
      "typeVersion": 1
    },
    {
      "id": "fcbaf6c3-2aee-4ea1-9c5e-2833dd7a9f50",
      "name": "筛选分数 >= 0.9",
      "type": "n8n-nodes-base.filter",
      "position": [
        1608,
        323
      ],
      "parameters": {
        "options": {},
        "conditions": {
          "options": {
            "leftValue": "",
            "caseSensitive": true,
            "typeValidation": "strict"
          },
          "combinator": "and",
          "conditions": [
            {
              "id": "367d83ef-8ecf-41fe-858c-9bfd78b0ae9f",
              "operator": {
                "type": "number",
                "operation": "gte"
              },
              "leftValue": "={{ $json.score }}",
              "rightValue": 0.9
            }
          ]
        }
      },
      "typeVersion": 2
    },
    {
      "id": "954ce7b0-ef82-4203-8706-17cfa5e5e3ff",
      "name": "从图像中裁剪对象",
      "type": "n8n-nodes-base.editImage",
      "position": [
        2080,
        432
      ],
      "parameters": {
        "width": "={{ $json.box.xmax - $json.box.xmin }}",
        "height": "={{ $json.box.ymax - $json.box.ymin }}",
        "options": {
          "format": "jpeg",
          "fileName": "={{ $binary.data.fileName.split('.')[0].urlEncode()+'-'+$json.label.urlEncode() + '-' + $itemIndex }}.jpg"
        },
        "operation": "crop",
        "positionX": "={{ $json.box.xmin }}",
        "positionY": "={{ $json.box.ymin }}"
      },
      "typeVersion": 1
    },
    {
      "id": "40027456-4bf9-4eea-8d71-aa28e69b29e5",
      "name": "设置变量",
      "type": "n8n-nodes-base.set",
      "position": [
        840,
        292
      ],
      "parameters": {
        "options": {},
        "assignments": {
          "assignments": [
            {
              "id": "9e95d951-8530-4a80-bd00-6bb55623a71f",
              "name": "CLOUDFLARE_ACCOUNT_ID",
              "type": "string",
              "value": ""
            },
            {
              "id": "66807a90-63a1-4d4e-886e-e8abf3019a34",
              "name": "model",
              "type": "string",
              "value": "@cf/facebook/detr-resnet-50"
            },
            {
              "id": "a13ccde6-e6e3-46f4-afa3-2134af7bc765",
              "name": "source_image",
              "type": "string",
              "value": "https://images.pexels.com/photos/2293367/pexels-photo-2293367.jpeg?auto=compress&cs=tinysrgb&w=600"
            },
            {
              "id": "0734fc55-b414-47f7-8b3e-5c880243f3ed",
              "name": "elasticsearch_index",
              "type": "string",
              "value": "n8n-image-search"
            }
          ]
        }
      },
      "typeVersion": 3.3
    },
    {
      "id": "c3d8c5e3-546e-472c-9e6e-091cf5cee3c3",
      "name": "使用 Detr-Resnet-50 对象分类",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1248,
        324
      ],
      "parameters": {
        "url": "=https://api.cloudflare.com/client/v4/accounts/{{ $('Set Variables').item.json.CLOUDFLARE_ACCOUNT_ID }}/ai/run/{{ $('Set Variables').item.json.model }}",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "contentType": "binaryData",
        "authentication": "predefinedCredentialType",
        "inputDataFieldName": "data",
        "nodeCredentialType": "cloudflareApi"
      },
      "credentials": {
        "cloudflareApi": {
          "id": "qOynkQdBH48ofOSS",
          "name": "Cloudflare account"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "3c7aa2fc-9ca1-41ba-a10d-aa5930d45f18",
      "name": "上传至 Cloudinary",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        2380,
        380
      ],
      "parameters": {
        "url": "https://api.cloudinary.com/v1_1/daglih2g8/image/upload",
        "method": "POST",
        "options": {},
        "sendBody": true,
        "sendQuery": true,
        "contentType": "multipart-form-data",
        "authentication": "genericCredentialType",
        "bodyParameters": {
          "parameters": [
            {
              "name": "file",
              "parameterType": "formBinaryData",
              "inputDataFieldName": "data"
            }
          ]
        },
        "genericAuthType": "httpQueryAuth",
        "queryParameters": {
          "parameters": [
            {
              "name": "upload_preset",
              "value": "n8n-workflows-preset"
            }
          ]
        }
      },
      "credentials": {
        "httpQueryAuth": {
          "id": "sT9jeKzZiLJ3bVPz",
          "name": "Cloudinary API"
        }
      },
      "typeVersion": 4.2
    },
    {
      "id": "3c4e1f04-a0ba-4cce-b82a-aa3eadc4e7e1",
      "name": "在 Elasticsearch 中创建文档",
      "type": "n8n-nodes-base.elasticsearch",
      "position": [
        2580,
        380
      ],
      "parameters": {
        "indexId": "={{ $('Set Variables').item.json.elasticsearch_index }}",
        "options": {},
        "fieldsUi": {
          "fieldValues": [
            {
              "fieldId": "image_url",
              "fieldValue": "={{ $json.secure_url.replace('upload','upload/f_auto,q_auto') }}"
            },
            {
              "fieldId": "source_image_url",
              "fieldValue": "={{ $('Set Variables').item.json.source_image }}"
            },
            {
              "fieldId": "label",
              "fieldValue": "={{ $('Crop Object From Image').item.json.label }}"
            },
            {
              "fieldId": "metadata",
              "fieldValue": "={{ JSON.stringify(Object.assign($('Crop Object From Image').item.json, { filename: $json.original_filename })) }}"
            }
          ]
        },
        "operation": "create",
        "additionalFields": {}
      },
      "credentials": {
        "elasticsearchApi": {
          "id": "dRuuhAgS7AF0mw0S",
          "name": "Elasticsearch account"
        }
      },
      "typeVersion": 1
    },
    {
      "id": "292c9821-c123-44fa-9ba1-c37bf84079bc",
      "name": "便签",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        620,
        120
      ],
      "parameters": {
        "color": 7,
        "width": 541.1455500767354,
        "height": 381.6388867600897,
        "content": "## 1. 获取源图像"
      },
      "typeVersion": 1
    },
    {
      "id": "863271dc-fb9d-4211-972d-6b57336073b4",
      "name": "便签1",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1180,
        80
      ],
      "parameters": {
        "color": 7,
        "width": 579.7748008857744,
        "height": 437.4680103498263,
        "content": "## 2. 使用 Detr-Resnet-50 对象分类"
      },
      "typeVersion": 1
    },
    {
      "id": "b73b45da-0436-4099-b538-c6b3b84822f2",
      "name": "便签2",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1800,
        260
      ],
      "parameters": {
        "color": 7,
        "width": 466.35460775498495,
        "height": 371.9272151757119,
        "content": "## 3. 从源图像中裁剪对象"
      },
      "typeVersion": 1
    },
    {
      "id": "465bd842-8a35-49d8-a9ff-c30d164620db",
      "name": "便签3",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        2300,
        180
      ],
      "parameters": {
        "color": 7,
        "width": 478.20345439832454,
        "height": 386.06196032653685,
        "content": "## 4. 在 ElasticSearch 中索引对象图像"
      },
      "typeVersion": 1
    },
    {
      "id": "6a04b4b5-7830-410d-9b5b-79acb0b1c78b",
      "name": "便签4",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        1800,
        -220
      ],
      "parameters": {
        "color": 7,
        "width": 328.419768654291,
        "height": 462.65463700396174,
        "content": "图 1. 分类结果"
      },
      "typeVersion": 1
    },
    {
      "id": "8f607951-ba41-4362-8323-e8b4b96ad122",
      "name": "重新获取源图像",
      "type": "n8n-nodes-base.httpRequest",
      "position": [
        1880,
        432
      ],
      "parameters": {
        "url": "={{ $('Set Variables').item.json.source_image }}",
        "options": {}
      },
      "typeVersion": 4.2
    },
    {
      "id": "6933f67d-276b-4908-8602-654aa352a68b",
      "name": "便签8",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        220,
        120
      ],
      "parameters": {
        "width": 359.6648027457353,
        "height": 352.41026669883723,
        "content": "## 立即试用！"
      },
      "typeVersion": 1
    },
    {
      "id": "35615ed5-43e8-43f0-95fe-1f95a1177d69",
      "name": "便利贴5",
      "type": "n8n-nodes-base.stickyNote",
      "position": [
        800,
        280
      ],
      "parameters": {
        "width": 172.9365918827757,
        "height": 291.6881468483679,
        "content": ""
      },
      "typeVersion": 1
    }
  ],
  "pinData": {},
  "connections": {
    "Set Variables": {
      "main": [
        [
          {
            "node": "Fetch Source Image",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Fetch Source Image": {
      "main": [
        [
          {
            "node": "Use Detr-Resnet-50 Object Classification",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Filter Score >= 0.9": {
      "main": [
        [
          {
            "node": "Fetch Source Image Again",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Upload to Cloudinary": {
      "main": [
        [
          {
            "node": "Create Docs In Elasticsearch",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Crop Object From Image": {
      "main": [
        [
          {
            "node": "Upload to Cloudinary",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Split Out Results Only": {
      "main": [
        [
          {
            "node": "Filter Score >= 0.9",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Fetch Source Image Again": {
      "main": [
        [
          {
            "node": "Crop Object From Image",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "When clicking \"Test workflow\"": {
      "main": [
        [
          {
            "node": "Set Variables",
            "type": "main",
            "index": 0
          }
        ]
      ]
    },
    "Use Detr-Resnet-50 Object Classification": {
      "main": [
        [
          {
            "node": "Split Out Results Only",
            "type": "main",
            "index": 0
          }
        ]
      ]
    }
  }
}
常见问题

如何使用这个工作流？

复制上方的 JSON 配置代码，在您的 n8n 实例中创建新工作流并选择「从 JSON 导入」，粘贴配置后根据需要修改凭证设置即可。

这个工作流适合什么场景？

高级 - 人工智能

需要付费吗？

本工作流完全免费，您可以直接导入使用。但请注意，工作流中使用的第三方服务（如 OpenAI API）可能需要您自行付费。

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工作流信息
难度等级
高级
节点数量17
分类1
节点类型8
难度说明

适合高级用户，包含 16+ 个节点的复杂工作流

作者
Jimleuk

Jimleuk

@jimleuk

Freelance consultant based in the UK specialising in AI-powered automations. I work with select clients tackling their most challenging projects. For business enquiries, send me an email at hello@jimle.uk LinkedIn: https://www.linkedin.com/in/jimleuk/ X/Twitter: https://x.com/jimle_uk

外部链接
在 n8n.io 查看 →

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