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HCaptchaClassification: Hcaptcha图像识别

HCaptchaClassification: Hcaptcha图像识别

此对象不会返回 RESPONSE, 只返回图像识别结果! 请无接入能力的用户避免使用!

如果没有开发能力,可以直接购买我们的人机助手2.0,自动点击通过,点此查看

如果需要自行开发,可以参考教程:Hcaptcha图像识别接口教程(Python)

创建任务

通过 createTask方法 创建识别任务

请求节点: 国际节点 https://api.yescaptcha.com 国内节点 https://cn.yescaptcha.com

请求地址: https://api.yescaptcha.com/createTask

请求格式:POST application/json

对象结构

属性

类型

必须

说明

属性

类型

必须

说明

type

string

HCaptchaClassification 8 POINTS

queries

list[string]

Base64 编码的图片,不要包含 "data:image/***;base64,"

获取验证码上的九张小图,以列表形式拼合图片:[base64, base64,base64,……]

question

String

问题 ID, 请查表,支持中英文,其他语言请自行转换

anchors

list[string]

用来辅助识别的小图(九宫格右上角的小图)

*图片要求与queries相同,

*anchors或question必需要传一个,建议都传

*如果只能通过小图来判断的问题则必需要要传

请求示例

{ "clientKey": "cc9c18d3e263515c2c072b36a7125eecc078618f", "task": { "type": "HCaptchaClassification", "anchors": ["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"], "queries": [ "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", 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", 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", 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Py3d3GE9I5T/VK17X4W6XEwMksr465ZT/ADSu7JYd6bg9SaAsYcHg7QrY5FlGxH96JD/7LWnHZWUGBDawp/uxgfyFTkijjHNIBVKIOBj6Cl84+pqJivpUfmgnFAiczE+/1pQ2eSMfSq4PNPDcUDsSjcT1oPHelGAKM5oEKBmlwB2pu/0PNG4DvQA/8KDx0pAwNG4ZpgKOO9ISKNwPTpTCwzgUAOOD3ppWjPqKcF4zSAiJIPA/SjbuPPSn856cUEgcYoAZ5YB9qXI9BQW7UigOTigBpcDsKQSZ9KcI17k0uxB0HNBR/9k=", 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1INOgAwF/U/40wPNry0nublpUjADEnGQO5Nbnh20WyYvMPnPpg+v+Ndb/AGfH2H+fzp6WCKckf5/OkAxbOG4AwzDP+fSnjROcpJ+Z/wDrVdijVcYqyOBTArPKxGSxJ9SaiaU+pobgYqM81Qh/mn1P507ziB1/Wq+DRzQBYE5Pc/nSGU+p/Oq+SKCT60ATmY+p/OlExI61WzSBiDSAsmXmlD571AsijqKlV4T1JH+fpQMeRnml5A5FOURnpJ+lOMbOeMEUgIQM9qcV44qYwSKuSv6ioWOKAF+7RvPvTfMBpRk9KAP/2Q==" ], "question": "请单击每个包含卡车的图像。" // 直接上传问题整句 } }

响应示例

{ "errorId": 0, "errorCode": "", "status": "ready", "solution": { "objects": [true, false, false, true, true, false, true, true] // 返回图片是否为目标, "top_k": [0, 3, 4, 6, 7] // 返回图片对应的位置,从0开始计算 "confidences": [ 1.0, 0.0, 0.0, 1.0, 1.0, 0.0, 1.0, 1.0] // 目标置信度 }, "taskId": "5aa8be0c-94a5-11ec-80d7-00163f00a53c"" }

 

问题 ID的查找方式

获取红框部分的文字,直接传问题全文”请点击每张包含火车的图片。

 

ID 对照表

查询接口时,直接提交问题整句,如果遇到新的分类,请联系客服增加。

因为Hcaptcha更新太过频繁,所以文档不再列出所有分类,您只需要把网页上获取到的问题上传即可。

如果是全新的分类,我们将会在3个工作日内支持

如果是已经存的分类只是换了一种提问方式,我们会每天更新。

 

根据右上角提示图片自动匹配 update:20240228

现在可以直接传一张右上角提示的小图,来辅助系统识别,要求可以看上方说明

系统会结合问题与提示图片来匹配,所以仍然建议同时传问题和提示图

image-20240207-180850.png

如果是这种必须要通过辅助图片判断的问题,必须要上传小图否则无法识别

 

错误信息

errorCode

errorDescription

说明

errorCode

errorDescription

说明

ERROR_INTERNAL_SERVER_ERROR

服务器内部错误

请确保各项参数正确

ERROR_UNKNOWN_QUESTION

错误的问题ID

请检查问题ID是否正确

ERROR_PARSE_IMAGE_FAIL

解析图片失败

请确认图片BASE64编码是否正确

 

Hcaptcha新样式:

新样式:点击图像指定位置

如果您使用插件,插件已支持,请直接安装使用

如果您是自己调用图像识别接口开发,请按以下方式开发:

  1. 直接从网页上获取问题

    1. (建议简体中文或英文)

    2. (直接获取即可,全部问题都支持,点击类的新问题10分钟内自动更新支持

    3. (画框类的暂时还不支持)

  2. 获取图片提交到接口(建议直接将canvas转成图片base64最准确,建议转为jpg格式,不要png格式

  3. 返回需要点击的位置(相对于上传图片的位置),点击图片

  4. 如果上传的是canvas转换的图片,可能实际显示的大小与canvas不同,需要计算一下

    1. 比如返回的坐标box:['769','410'],其中x是769,比例计算方法:

    2. x * canvas显示宽度 / 实际提交的图片宽度 = canvas需要点击的x坐标

    3. 769 ×350 / 1000 = 269.15

 

请注意:

  1. 如果是截图,请截图红色区域,不要多不要少

  2. 如果是获取网页原图,请直接获取canvas图片转base64(jpg格式)

  3. 如果是必须要通过小图来判断的问题必须要传小图(anchors字段)

 

 

发送请求(与上面的正常请求是一样的):

{ "clientKey": "xxxxxxxxxxxxxxxxxxxxxxxxxxxxx", "task": { "type": "HCaptchaClassification", "anchors": [], // 如果上面有小图必须传小图 "queries": [ 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