商品详情
商品亮点- 支持户型的多种结构，包括墙，单开门/双开门/移门/门洞，普通窗/飘窗等。
- 完全支持斜墙/门/窗。
- 精准识别标注尺寸，房间类型。
- 准确率高，泛化能力强。
| 版本: V1.0 | 交付方式: API |
| 适用于: 其他 | 上架日期: 2021-03-05 |
随着家装互联网的发展，C端业主在装修过程中，越来越希望看到装修设计的效果图。而绘制3D户型是装修设计的第一步。通常，3D户型都是基于业主提供的户型临摹图，由设计师手工绘制而成。这个手工绘制过程比较耗时，并且容易出错。因此，基于图片的3D户型自动化生成将极大提高设计师效率，将设计师从繁琐的绘制工作中解放出来。基于此种考虑，荟画家结合深度学习以及OCR技术，克服行业内所碰到的技术难点（斜墙/门/窗，尺寸的准确识别等），开发了该产品，也寄希望该产品能为设计赋能，为行业赋能。
本产品的主要功能包括：
1. 户型图片中的尺寸识别，房间类型识别。
尺寸识别将建立图片像素坐标和实际空间坐标的对应关系。
2. 户型图片中墙门窗等基本建筑结构的识别。
基本建筑结构的种类包括墙，单开门/双开门/移门，普通窗/飘窗等。
3. 结合尺寸信息，房间类型信息和建筑基本结构的信息，组合自动生成3D户型。
API接口
- 户型图识别API
http(s)://img2floorplan.apistore.huaweicloud.com/api/roomdetector/
POST
JSON
API调用方法
调试API 请求参数（Path）无参数
请求参数（Headers）无参数
请求参数（Query）无参数
请求参数（Body 示例）无参数
正常返回示例{ "code": 0, "message": "success", "data": { "WallPoints": [ { "x": 1170.0, "y": 881.71875, "id": 0 }, { "x": 990.0, "y": 359.296875, "id": 1 }, { "x": 820.546875, "y": 963.984375, "id": 2 }, { "x": 566.015625, "y": 526.81640625, "id": 22 }, { "x": 364.68749999999994, "y": 963.984375, "id": 4 }, { "x": 264.84375, "y": 590.9765625, "id": 5 }, { "x": 889.453125, "y": 191.953125, "id": 24 }, { "x": 750.9375, "y": 359.296875, "id": 7 }, { "x": 660.9375, "y": 466.171875, "id": 8 }, { "x": 264.84375, "y": 112.5, "id": 9 }, { "x": 889.453125, "y": 112.5, "id": 10 }, { "x": 990.0, "y": 191.953125, "id": 11 }, { "x": 1170.0, "y": 746.71875, "id": 12 }, { "x": 566.015625, "y": 356.484375, "id": 13 }, { "x": 952.03125, "y": 746.71875, "id": 14 }, { "x": 750.9375, "y": 112.5, "id": 15 }, { "x": 364.68749999999994, "y": 356.484375, "id": 16 }, { "x": 820.546875, "y": 359.296875, "id": 17 }, { "x": 564.375, "y": 590.9765625, "id": 18 }, { "x": 490.78125, "y": 526.81640625, "id": 19 }, { "x": 820.546875, "y": 466.171875, "id": 20 }, { "x": 820.546875, "y": 590.9765625, "id": 21 }, { "x": 952.03125, "y": 881.71875, "id": 23 }, { "x": 564.375, "y": 963.984375, "id": 25 }, { "x": 660.9375, "y": 590.9765625, "id": 26 }, { "x": 490.78125, "y": 590.9765625, "id": 27 }, { "x": 820.546875, "y": 746.71875, "id": 28 }, { "x": 750.9375, "y": 191.953125, "id": 29 }, { "x": 820.546875, "y": 881.71875, "id": 30 }, { "x": 264.84375, "y": 356.484375, "id": 31 }, { "x": 364.68749999999994, "y": 590.9765625, "id": 32 }, { "x": 564.375, "y": 879.609375, "id": 33 } ], "Walls": [ { "start_point": 30, "end_point": 23, "id": 35 }, { "start_point": 23, "end_point": 0, "id": 36 }, { "start_point": 12, "end_point": 0, "id": 38 }, { "start_point": 31, "end_point": 16, "id": 40 }, { "start_point": 16, "end_point": 13, "id": 41 }, { "start_point": 7, "end_point": 17, "id": 42 }, { "start_point": 17, "end_point": 1, "id": 43 }, { "start_point": 11, "end_point": 1, "id": 45 }, { "start_point": 4, "end_point": 25, "id": 47 }, { "start_point": 25, "end_point": 2, "id": 48 }, { "start_point": 17, "end_point": 20, "id": 50 }, { "start_point": 20, "end_point": 21, "id": 51 }, { "start_point": 21, "end_point": 28, "id": 52 }, { "start_point": 28, "end_point": 30, "id": 53 }, { "start_point": 30, "end_point": 2, "id": 54 }, { "start_point": 19, "end_point": 22, "id": 56 }, { "start_point": 13, "end_point": 22, "id": 58 }, { "start_point": 18, "end_point": 33, "id": 59 }, { "start_point": 33, "end_point": 25, "id": 60 }, { "start_point": 16, "end_point": 32, "id": 62 }, { "start_point": 32, "end_point": 4, "id": 63 }, { "start_point": 5, "end_point": 32, "id": 65 }, { "start_point": 32, "end_point": 27, "id": 66 }, { "start_point": 27, "end_point": 18, "id": 67 }, { "start_point": 18, "end_point": 26, "id": 68 }, { "start_point": 26, "end_point": 21, "id": 69 }, { "start_point": 9, "end_point": 31, "id": 71 }, { "start_point": 31, "end_point": 5, "id": 72 }, { "start_point": 29, "end_point": 24, "id": 74 }, { "start_point": 24, "end_point": 11, "id": 75 }, { "start_point": 10, "end_point": 24, "id": 77 }, { "start_point": 15, "end_point": 29, "id": 79 }, { "start_point": 29, "end_point": 7, "id": 80 }, { "start_point": 8, "end_point": 20, "id": 82 }, { "start_point": 8, "end_point": 26, "id": 84 }, { "start_point": 9, "end_point": 15, "id": 86 }, { "start_point": 15, "end_point": 10, "id": 87 }, { "start_point": 28, "end_point": 14, "id": 89 }, { "start_point": 14, "end_point": 12, "id": 90 }, { "start_point": 14, "end_point": 23, "id": 92 }, { "start_point": 19, "end_point": 27, "id": 94 } ], "DoorPoints": [ { "x": 660.9375, "y": 516.796875, "id": 95 }, { "x": 750.9375, "y": 210.9375, "id": 96 }, { "x": 345.9375, "y": 358.59375, "id": 97 }, { "x": 548.4375, "y": 594.84375, "id": 98 }, { "x": 278.4375, "y": 358.59375, "id": 99 } ], "Doors": [ { "start_point": 99, "end_point": 97, "id": 100, "host": 40, "category": 0 } ], "WindowPoints": [ { "x": 703.125, "y": 111.796875, "id": 101 }, { "x": 843.75, "y": 111.796875, "id": 102 }, { "x": 795.9375, "y": 111.796875, "id": 103 } ], "Windows": [ { "start_point": 103, "end_point": 102, "id": 104, "host": 87, "category": 0 } ], "RoomTypes": null } }
失败返回示例无参数
商品定价
| 规格 | 计费项 | 计费模式 | 目录价 |
|---|---|---|---|
| 按次收费 | 套餐一 | 按次套餐包 | 299.00元/1000次 |
| 套餐二 | 按次套餐包 | 499.00元/2000次 | |
| 套餐三 | 按次套餐包 | 599.00元/3000次 | |
| 套餐四 | 按次套餐包 | 749.00元/5000次 |
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使用指南 户型图识别服务系统使用手册.pdf 下载 平台支持范围服务内容：提供售前咨询和售后服务 售后服务时间：5 * 8小时 服务时间：工作日 9:00-17:00（北京时间） 服务电话：18964116291 服务邮箱：pangliangliang@hhome.com商品服务协议
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