警告 |
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此对象不会返回 This object will not return a RESPONSE, 只返回图像识别结果! 请无接入能力的用户避免使用! |
我们提供了一个基于Python Selenium的模拟点击DEMO,有能力的可以参照学习
说明 |
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此接口开发难度较高,建议想节省时间的可以直接安装浏览器插件,自动点击通过 点此查看 |
创建任务
通过 createTask方法 创建识别任务
...
only image recognition results! Please avoid using it if you do not have integration capabilities. |
We have provided a demonstration of simulated clicks using Python Selenium. Those with the ability can reference it for learning purposes.
说明 |
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The development difficulty of this interface is relatively high. We recommend that those who want to save time can install our browser extension to automatically click through instead. Click here. |
Create Tasks
To create a recognition task using the createTask
method.
Request node:
状态
colour Green title INTERNATIONAL NODE https://api.yescaptcha.com
状态
colour Green title 国内节点CHINA NODE https://cn.yescaptcha.com
请求地址: Method address::
https://api.yescaptcha.com/createTask
请求格式:Request format:
POST
application/json
...
Example Structure
属性Parameters | 类型Type | 必须Required | 说明Purpose | ||||||||||||
---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
type | string | 是Yes | ReCaptchaV2Classification
100x100
| ||||||||||||
image | string | 是Yes | Base64 编码的图片,不要包含 The image encoded in Base64 should not include "data:image/***;base64," in the code.
| ||||||||||||
question | String | 是 | 问题 ID, 请查表, 以 Yes | Please refer to the table to find the Problem ID, which starts with /m/ 开头. | |||||||||||
confidence | int | 否 | 结果置信度分值,非必填,0.0 不匹配 ~1.0 完全匹配(分值越大匹配度越高),默认值为空 对于 对于 具体使用场景见下方说明。 |
请求示例
No | The confidence score of the result is optional, with a range of 0.0 indicating no match to 1.0 indicating a perfect match (the higher the score, the higher the match degree). The default value is empty. For Specifying this value is meaningless for Please see the explanation below for specific usage scenarios. |
Request Example
代码块 | ||
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| ||
{ "clientKey": "cc9c18d3e263515c2c072b36a7125eecc078618f", "task": { "type": "ReCaptchaV2Classification", "image": "/9j/4AAQSkZJRgABAQEAYABgAAD/2wBDAAgGBgcGBQgHBwcJCQgKDBQNDAsLDBkSEw8UHRofHh0aHBwgJC4nICIsIxwcKDc....", "question": "/m/0k4j" } } |
...
Response Example
代码块 |
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{ "errorId": 0, "errorCode": "", "errorDescription": "null", "status": "ready", "taskId": "3a9e8cb8-3871-11ec-9794-94e6f7355a0b", "solution": { "objects": [1,5,8], // 图像需要点击的位置 The position where the image needs to be clicked. "type": "multi" } } |
图片格式
...
The image format:
Standard Size 3x3: (300x300)
状态 | ||||
---|---|---|---|---|
|
代码块 |
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"solution": { "objects": [0,2,6], // 图像需要点击的位置The position where the image needs to be clicked. "type": "multi" } |
...
标准大小 Standard Size 4x4: (450x450)
状态 | ||||
---|---|---|---|---|
|
代码块 |
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"solution": { "objects": [9, 10, 11, 13, 14, 15], // 图像需要点击的位置,从0开始到15 The position where the image needs to be clicked ranges from 0 to 15. "type": "multi" } |
...
Standard Size 1x1: 刷出来的小图 (100x100)
状态 | ||||
---|---|---|---|---|
|
在按下3x3后, 如果不是imageselect类型, 会刷新小图
将小图缩放到100x100大小,通过上面的接口发送到后端,接口返回是否需要点击
hasObject 代表是否需要点击After selecting the 3x3 checkbox, if it is not an imageselect type, the small image will be refreshed.
The small image should be resized to 100x100 pixels and sent to the backend through the API. The API will return whether or not clicking is required.
"hasObject" represents whether or not clicking is required.
代码块 |
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"solution": { "hasObject": true / false, // 判断是否为目标物体 To determine whether an object is the target object "type": "single" } |
...
...
To find the Problem ID
...
ID 对照表: 中文并非 ReCaptcha 官方翻译, 仅供参考Comparison Table: The Chinese translation is not an official translation from ReCaptcha, and is provided for reference only.
代码块 |
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{ "/m/0pg52": "出租车", "/m/01bjv": "巴士", "/m/02yvhj": "校车", "/m/04_sv": "摩托车", "/m/013xlm": "拖拉机", "/m/01jk_4": "烟囱", "/m/014xcs": "人行横道", "/m/015qff": "红绿灯", "/m/0199g": "自行车", "/m/015qbp": "停车计价表", "/m/0k4j": "汽车", "/m/015kr": "桥", "/m/019jd": "船", "/m/0cdl1": "棕榈树", "/m/09d_r": "山", "/m/01pns0": "消防栓", "/m/01lynh": "楼梯" } |
代码块 |
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{ "/m/0pg52": "taxis", "/m/01bjv": "bus", "/m/02yvhj": "school bus", "/m/04_sv": "motorcycles", "/m/013xlm": "tractors", "/m/01jk_4": "chimneys", "/m/014xcs": "crosswalks", "/m/015qff": "traffic lights", "/m/0199g": "bicycles", "/m/015qbp": "parking meters", "/m/0k4j": "cars", "/m/015kr": "bridges", "/m/019jd": "boats", "/m/0cdl1": "palm trees", "/m/09d_r": "mountains or hills", "/m/01pns0": "fire hydrant", "/m/01lynh": "stairs" } |
...
errorCodes
errorCode | errorDescription | 说明Purpose | |
---|---|---|---|
ERROR_INTERNAL_SERVER_ERROR | 服务器内部错误 | 请确保各项参数正确Internal server error | If the issue persists, please contact customer service |
ERROR_UNKNOWN_QUESTION | 错误的问题ID | 请检查问题ID是否正确Incorrect question ID | Please check whether the question ID is correct |
ERROR_ILLEGAL_IMAGE | 图片大小不符合要求 | 请缩放至指定大小450x450Image size does not meet the requirements | Please scale the image to the specified size: 450x450/300x300/100x100 |
ERROR_UNKNOW_450x450_QUESTION | 这个尺寸暂时不支持这个问题 | 暂时不能很好的识别这个问题相关的图片,请重试其他类型的图片 | |
ERROR_PARSE_IMAGE_FAIL | 解析图片失败 | 请确认图片BASE64编码是否正确 |
字段confidence使用说明
reCaptcha有三种类型的需要识别,1种是3x3的九宫格,1种是4x4的十六宫格,当3x3的图片点击之后会继续刷新小图,这种就是1x1的小图。
当开发者基于网页端开发时,1x1的小图容易判断与获取,但是基于移动端的开发者在开发者会遇到不方便获取1x1图片的情况。
因此,我们提供一个confidence
字段,当携带这个字段时3x3的图片不再默认返回3张得分最高的的结果(因为谷歌要求最少点击三个图片目标),而是返回所有符合条件的结果,这样就不需要再截图1X1的小图,可以直接将3X3的图片上传得到需要点击的位置。
以下面这张图为例:
...
如果我们请求识别小汽车
/m/0k4j
时,默认接口会返回三个结果
发送样例
...
This size is currently not supported for this question | The system may not be able to recognize images related to this question type. Please retry with other types of images | |
ERROR_PARSE_IMAGE_FAIL | Failed to parse image | Please confirm whether the image BASE64 encoding is correct |
Here's the explanation for the "confidence" field:
For reCaptcha, there are three types of images to be recognized: 3x3, 4x4, and 1x1 image (which appears after clicking on a 3x3 grid image).
When developing for web, it is easy to obtain the 1x1 image, but for mobile developers, it may be inconvenient to capture the 1x1 image. Therefore, we provide a "confidence" field. When this field is included in the request for a 3x3 grid image, it will not return only the top three scoring results by default (as Google requires at least three clicks on the image targets), but will return all matching results that meet the specified confidence threshold. This makes it unnecessary to capture the 1x1 image separately, as the clicked positions can be obtained directly from the uploaded 3x3 grid image.
Using the image below as an example:
...
If we request to identify the car /m/0k4j, the default API will return three results.
Request Sample
代码块 |
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{
"clientKey": "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx",
"task": {
"type": "ReCaptchaV2Classification",
"image": 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"question": "/m/0k4j"
}
} |
返回样例,默认返回了最符合的三个结果:1、2、7Here's an example response, which returns the top three matching results: 1, 2, and 7.
代码块 |
---|
{ "errorId": 0, "errorCode": "", "status": "ready", "solution": { "objects": [1,2,7], "type": "multi" }, "taskId": "e3a93b66-febb-11ec-90aa-d23550a55293" } |
...
If we add the "confidence" parameter with a value of 0.5 and send the request again...
代码块 |
---|
{ "clientKey": "xxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxxx", "task": { "confidence": 0.5, "type": "ReCaptchaV2Classification", "image": 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/Ks1i5y2K+rRW55hafD3xXKnl3eswW6Hqj3LMfyArRi+GESLh/Ekm7v5ducf↵qa9GtbSEckFsHua1obKAxqcHkUnXqPr+BXsoLof/2Q==", "question": "/m/0k4j" } } |
We will get five results because all of them have a score of 0.5 or higher, due to the inclusion of the "confidence" parameter.
代码块 |
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{ "errorId": 0, "errorCode": "", "questionstatus": "/m/0k4jready", } } |
会得到五个结果,因为这五个结果的得分都在0.5以上
代码块 |
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{ "errorId": 0,"solution": { "objects": [0,1,2,6,7], "errorCodetype": "multi", "status": "ready"}, "solutiontaskId": { "objects": [0,1,2,6,7], "type": "multi" }, "taskId": "44f700e2-febc-11ec-90aa-d23550a55293" } |
如果没有符合条件的,会返回空数组。
此时根据结果再次点击即可
截图如何判断是3x3还是4x4
如果是网页处理,直接获取图片传到接口,服务器会根据图片尺寸自动判断类型(根据图片大小)
但如果是截图就不方便判断,此时可以根据问题的类型来判断
3x3是“选择所有图片” 或者 Select all images with xxx
...
"44f700e2-febc-11ec-90aa-d23550a55293"
} |
If there are no matching results, an empty array will be returned.
In this case, we can click again based on the results.
How to determine whether a screenshot is a 3x3 or 4x4 grid for image verification.
If the image processing is performed on a webpage, we can directly obtain the image and pass it to the API. The server will automatically determine the grid type based on the image size.
If we are dealing with a screenshot, it can be inconvenient to determine the grid type based on image size. In this case, we can determine the grid type based on the type of problem presented in the image.
3x3: Select all images with xxx
4x4:Select all squares with xxx