summaryrefslogtreecommitdiff
path: root/data/zh_cn/objectdet/2019-12-30
diff options
context:
space:
mode:
authorZhineng Li <[email protected]>2026-02-13 10:54:11 +0800
committerZhineng Li <[email protected]>2026-02-13 10:54:11 +0800
commit7347bac4ab7e136157fc94777e6cf87ef9e08599 (patch)
tree0dec367dac6e152161a6f7cc0dba6ebbef1f34a2 /data/zh_cn/objectdet/2019-12-30
downloadacs-metadata-full-main.tar.gz
acs-metadata-full-main.zip
first commitHEADv1.0.0+20260212main
Diffstat (limited to 'data/zh_cn/objectdet/2019-12-30')
-rw-r--r--data/zh_cn/objectdet/2019-12-30/api-docs.php2231
1 files changed, 2231 insertions, 0 deletions
diff --git a/data/zh_cn/objectdet/2019-12-30/api-docs.php b/data/zh_cn/objectdet/2019-12-30/api-docs.php
new file mode 100644
index 0000000..38b768b
--- /dev/null
+++ b/data/zh_cn/objectdet/2019-12-30/api-docs.php
@@ -0,0 +1,2231 @@
+<?php return [
+ 'version' => '1.0',
+ 'info' => [
+ 'style' => 'RPC',
+ 'product' => 'objectdet',
+ 'version' => '2019-12-30',
+ ],
+ 'directories' => [
+ [
+ 'id' => 114562,
+ 'title' => '车辆检测',
+ 'type' => 'directory',
+ 'children' => [
+ 'DetectVehicleICongestion',
+ 'DetectVehicleIllegalParking',
+ ],
+ ],
+ [
+ 'id' => 114557,
+ 'title' => '通用检测',
+ 'type' => 'directory',
+ 'children' => [
+ 'DetectMainBody',
+ 'DetectWhiteBaseImage',
+ 'DetectObject',
+ 'DetectIPCObject',
+ 'DetectVideoIPCObject',
+ 'DetectWorkwear',
+ 'DetectKitchenAnimals',
+ ],
+ ],
+ [
+ 'id' => 114576,
+ 'title' => '通用接口',
+ 'type' => 'directory',
+ 'children' => [
+ 'GetAsyncJobResult',
+ ],
+ ],
+ ],
+ 'components' => [
+ 'schemas' => [
+ 'DetectObjectElement' => [
+ 'title' => '检测到的目标',
+ 'type' => 'object',
+ 'properties' => [
+ 'Type' => [
+ 'title' => '目标类型：PERSON, VEHICLE, PET',
+ 'type' => 'string',
+ 'example' => 'VEHICLE',
+ ],
+ 'X' => [
+ 'title' => '左上角x坐标(像素)',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '5',
+ ],
+ 'Y' => [
+ 'title' => '左上角y坐标(像素)',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '10',
+ ],
+ 'Width' => [
+ 'title' => '目标宽度(像素)',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '100',
+ ],
+ 'Height' => [
+ 'title' => '目标高度(像素)',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '200',
+ ],
+ 'Score' => [
+ 'title' => '目标置信度，范围为[0.0, 1.0]',
+ 'type' => 'number',
+ 'format' => 'float',
+ 'example' => '0.68225745',
+ ],
+ ],
+ ],
+ 'DetectObjectFrame' => [
+ 'title' => 'A short description of struct',
+ 'type' => 'object',
+ 'properties' => [
+ 'Time' => [
+ 'title' => '时间',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ ],
+ 'Elements' => [
+ 'title' => '结果集',
+ 'type' => 'array',
+ 'items' => [
+ '$ref' => '#/components/schemas/DetectObjectElement',
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ 'apis' => [
+ 'DetectVehicleICongestion' => [
+ 'summary' => '本文为您介绍目标检测（objectdet）类目下的车辆拥堵检测DetectVehicleICongestion的语法及示例。',
+ 'methods' => [
+ 'post',
+ ],
+ 'schemes' => [
+ 'http',
+ 'https',
+ ],
+ 'security' => [
+ [
+ 'AK' => [],
+ ],
+ ],
+ 'deprecated' => false,
+ 'systemTags' => [
+ 'operationType' => 'create',
+ ],
+ 'parameters' => [
+ [
+ 'name' => 'ImageURL',
+ 'in' => 'formData',
+ 'schema' => [
+ 'title' => 'A short description of struct',
+ 'description' => '图像URL地址。推荐使用上海地域的OSS链接，对于文件在本地或者非上海地域OSS链接的情况，请参见[文件URL处理](~~155645~~)。',
+ 'type' => 'string',
+ 'required' => true,
+ 'example' => 'http://viapi-test.oss-cn-shanghai.aliyuncs.com/viapi-3.0domepic/objectdet/DetectVehicleICongestion/DetectVehicleICongestion1.jpg',
+ 'maxItems' => 1,
+ 'minItems' => 20,
+ 'isFileTransferUrl' => true,
+ ],
+ ],
+ [
+ 'name' => 'RoadRegions',
+ 'in' => 'formData',
+ 'style' => 'json',
+ 'schema' => [
+ 'description' => '多个区域。格式为[RoadRegion\\_1, RoadRegion\\_2, ..., RoadRegion\\_N]。',
+ 'type' => 'array',
+ 'items' => [
+ 'type' => 'object',
+ 'properties' => [
+ 'RoadRegion' => [
+ 'description' => '任意四边形的四个顶点的坐标X和Y，格式为`[x1,y1,x2,y2,x3,y3,x4,y4]`。',
+ 'type' => 'array',
+ 'items' => [
+ 'type' => 'object',
+ 'properties' => [
+ 'Point' => [
+ 'description' => '四边形的顶点坐标。',
+ 'type' => 'object',
+ 'properties' => [
+ 'X' => [
+ 'description' => '坐标点的X值。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'required' => true,
+ 'example' => '400',
+ ],
+ 'Y' => [
+ 'description' => '坐标点的Y值。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'required' => true,
+ 'example' => '400',
+ ],
+ ],
+ 'required' => true,
+ ],
+ ],
+ 'required' => false,
+ ],
+ 'required' => true,
+ ],
+ ],
+ 'required' => false,
+ ],
+ 'required' => true,
+ ],
+ ],
+ [
+ 'name' => 'PreRegionIntersectFeatures',
+ 'in' => 'formData',
+ 'style' => 'json',
+ 'schema' => [
+ 'description' => '前一帧画面与各个指定区域相交集的车辆检测框对应的车辆特征。',
+ 'type' => 'array',
+ 'items' => [
+ 'type' => 'object',
+ 'properties' => [
+ 'Features' => [
+ 'description' => '特征为Base64编码的字符串。',
+ 'type' => 'array',
+ 'items' => [
+ 'description' => 'Base64编码的字符串。文件的Base64编码处理操作，请参见[文件Base64处理](~~468191~~)。',
+ 'type' => 'string',
+ 'required' => false,
+ 'example' => 'AEAMQQAAAA****ABhC',
+ ],
+ 'required' => false,
+ ],
+ ],
+ 'required' => false,
+ ],
+ 'required' => false,
+ ],
+ ],
+ ],
+ 'responses' => [
+ 200 => [
+ 'schema' => [
+ 'title' => 'Schema of Response',
+ 'description' => 'Schema of Response',
+ 'type' => 'object',
+ 'properties' => [
+ 'RequestId' => [
+ 'title' => 'Id of the request',
+ 'description' => '请求ID。',
+ 'type' => 'string',
+ 'example' => '4FC381BB-04F2-50F4-B54B-593042BCF3C6',
+ ],
+ 'Data' => [
+ 'description' => '返回的结果数据内容。',
+ 'type' => 'object',
+ 'properties' => [
+ 'Elements' => [
+ 'description' => '车辆检测框的集合。',
+ 'type' => 'array',
+ 'items' => [
+ 'type' => 'object',
+ 'properties' => [
+ 'Boxes' => [
+ 'description' => '检测框坐标，格式为`[left, top, right, bottom]`。',
+ 'type' => 'array',
+ 'items' => [
+ 'type' => 'object',
+ 'properties' => [
+ 'Left' => [
+ 'description' => '矩形区域的左上角横轴坐标。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '341',
+ ],
+ 'Top' => [
+ 'description' => '矩形区域的左上角纵轴坐标。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '434',
+ ],
+ 'Right' => [
+ 'description' => '矩形区域的右下角横轴坐标。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '589',
+ ],
+ 'Bottom' => [
+ 'description' => '矩形区域的右下角纵轴坐标。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '576',
+ ],
+ ],
+ ],
+ ],
+ 'Score' => [
+ 'description' => '检测框的置信度，范围为`[0,1]`。',
+ 'type' => 'number',
+ 'format' => 'float',
+ 'example' => '0.962890625',
+ ],
+ 'TypeName' => [
+ 'description' => '检测框对应的物体。取值仅为`vehicle`。',
+ 'type' => 'string',
+ 'example' => 'vehicle',
+ ],
+ 'Id' => [
+ 'description' => '检测框ID。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '1',
+ ],
+ ],
+ ],
+ ],
+ 'RegionIntersectFeatures' => [
+ 'description' => '与各个指定区域相交集的车辆检测框对应的车辆特征。',
+ 'type' => 'array',
+ 'items' => [
+ 'type' => 'object',
+ 'properties' => [
+ 'Features' => [
+ 'description' => '特征为Base64编码的字符串。文件的Base64编码处理操作，请参见[文件Base64处理](~~468191~~)。',
+ 'type' => 'array',
+ 'items' => [
+ 'description' => '此Base64编码用于匹配两帧之间的车辆是否为同一车辆。文件的Base64编码处理操作，请参见[文件Base64处理](~~468191~~)。',
+ 'type' => 'string',
+ 'example' => 'AEAMQQAAAA****ABhC',
+ ],
+ ],
+ ],
+ ],
+ ],
+ 'RegionIntersectMatched' => [
+ 'description' => '判断当前帧的RegionIntersectFeatures与PreRegionIntersectFeatures中哪一个特征是匹配的。',
+ 'type' => 'array',
+ 'items' => [
+ 'description' => '1',
+ 'type' => 'object',
+ 'properties' => [
+ 'Ids' => [
+ 'description' => '输出匹配的特征IDx。',
+ 'type' => 'array',
+ 'items' => [
+ 'description' => '当两帧之间的两个车辆是匹配时，说明该车辆在两帧之间的时间内存在滞留或拥堵现象。'."\n"
+ ."\n"
+ .' > **-1**代表没有匹配的特征，如果匹配将显示对应检测框ID。例如，车辆检测框ID为`[1,2,3]`，RegionIntersectMatched显示为`[-1,-1,-1]`，则表示三个区域均没有匹配，RegionIntersectMatched显示为`[-1,2,3]`，则表示区域1未匹配，区域2和3匹配。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '[-1,-1,-1]',
+ ],
+ ],
+ ],
+ ],
+ ],
+ 'RegionIntersects' => [
+ 'description' => '与各个指定区域相交集的车辆检测框对应的车辆特征。'."\n"
+ ."\n"
+ .'例如，返回结果为[ {"Ids":[1,3]}, {"Ids":[2,4]} ]，其中{"Ids":[1,3]}是与区域1相交集的车辆检测框的ID， {"Ids":[2,4]}是与区域2相交集的车辆检测框的ID。当车辆出现在给定区域内，说明存在车辆占道的情况。'."\n"
+ ."\n"
+ .'除了**RegionIntersects**里包含的ID的检测框外，其它的检测框为区域外的检测框。',
+ 'type' => 'array',
+ 'items' => [
+ 'description' => '1',
+ 'type' => 'object',
+ 'properties' => [
+ 'Ids' => [
+ 'description' => '与各个指定区域相交集的车辆检测框的多个ID。',
+ 'type' => 'array',
+ 'items' => [
+ 'description' => '与各个指定区域相交集的车辆检测框的多个ID。'."\n"
+ ."\n"
+ .'例如，{"Ids":[1,3]}是与相应区域相交集的车辆检测框的IDs。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '[1,2,3]',
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ 'errorCodes' => [
+ 400 => [
+ [
+ 'errorCode' => 'ParameterError',
+ 'errorMessage' => 'The parameter is invalid. Please check again.',
+ ],
+ ],
+ 403 => [
+ [
+ 'errorCode' => 'AuthFailed',
+ 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.',
+ ],
+ ],
+ 408 => [
+ [
+ 'errorCode' => 'Timeout',
+ 'errorMessage' => 'The request has timed out.',
+ ],
+ ],
+ 503 => [
+ [
+ 'errorCode' => 'ServiceUnavailable',
+ 'errorMessage' => 'The service is unavailable.',
+ ],
+ ],
+ ],
+ 'responseDemo' => '[{"type":"json","example":"{\\n \\"RequestId\\": \\"4FC381BB-04F2-50F4-B54B-593042BCF3C6\\",\\n \\"Data\\": {\\n \\"Elements\\": [\\n {\\n \\"Boxes\\": [\\n {\\n \\"Left\\": 341,\\n \\"Top\\": 434,\\n \\"Right\\": 589,\\n \\"Bottom\\": 576\\n }\\n ],\\n \\"Score\\": 0.962890625,\\n \\"TypeName\\": \\"vehicle\\",\\n \\"Id\\": 1\\n }\\n ],\\n \\"RegionIntersectFeatures\\": [\\n {\\n \\"Features\\": [\\n \\"AEAMQQAAAA****ABhC\\"\\n ]\\n }\\n ],\\n \\"RegionIntersectMatched\\": [\\n {\\n \\"Ids\\": [\\n 0\\n ]\\n }\\n ],\\n \\"RegionIntersects\\": [\\n {\\n \\"Ids\\": [\\n 0\\n ]\\n }\\n ]\\n }\\n}","errorExample":""},{"type":"xml","example":"<DetectVehicleICongestionResponse>\\n <RequestId>4FC381BB-04F2-50F4-B54B-593042BCF3C6</RequestId>\\n <Data>\\n <RegionIntersectFeatures>\\n <Features>AOAQQQBA****FRD</Features>\\n <Features>AEAMQQAA****KRC</Features>\\n <Features>AEAMQQAA****BhC</Features>\\n </RegionIntersectFeatures>\\n <RegionIntersects>\\n <Ids>1</Ids>\\n <Ids>2</Ids>\\n <Ids>3</Ids>\\n </RegionIntersects>\\n <Elements>\\n <Score>0.962890625</Score>\\n <TypeName>vehicle</TypeName>\\n <Id>0</Id>\\n <Boxes>\\n <Left>341</Left>\\n <Top>434</Top>\\n <Right>589</Right>\\n <Bottom>576</Bottom>\\n </Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.9619140625</Score>\\n <TypeName>vehicle</TypeName>\\n <Id>1</Id>\\n <Boxes>\\n <Left>304</Left>\\n <Top>228</Top>\\n <Right>525</Right>\\n <Bottom>440</Bottom>\\n </Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.83203125</Score>\\n <TypeName>vehicle</TypeName>\\n <Id>2</Id>\\n <Boxes>\\n <Left>0</Left>\\n <Top>24</Top>\\n <Right>68</Right>\\n <Bottom>106</Bottom>\\n </Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.53125</Score>\\n <TypeName>vehicle</TypeName>\\n <Id>3</Id>\\n <Boxes>\\n <Left>0</Left>\\n <Top>0</Top>\\n <Right>58</Right>\\n <Bottom>38</Bottom>\\n </Boxes>\\n </Elements>\\n <RegionIntersectMatched>\\n <Ids>-1</Ids>\\n <Ids>-1</Ids>\\n <Ids>-1</Ids>\\n </RegionIntersectMatched>\\n </Data>\\n</DetectVehicleICongestionResponse>","errorExample":""}]',
+ 'title' => '车辆拥堵检测',
+ 'description' => '## 功能描述'."\n"
+ .'车辆拥堵检测能力根据图片中的车辆，判断是否发生拥堵。'."\n"
+ ."\n"
+ .'> - 您可以进入[在线咨询](https://www.aliyun.com/core/online-consult?from=aZgW6LJHr2)获取在线人工帮助。'."\n"
+ .'- 当前能力可在视觉智能开放平台有完整的免费产品体验，您可以单击[立即试用](https://vision.aliyun.com/experience/detail?&tagName=objectdet&children=DetectVehicleICongestion)对该能力进行更直观试用以及在线购买。'."\n"
+ .'- 阿里云视觉智能开放平台视觉AI能力API接入、接口使用或问题咨询等，请通过钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+ ."\n"
+ .'## 应用场景'."\n"
+ ."\n"
+ .'- 停车场拥堵检测：通过停车场摄像头间隔时间内捕捉的两张图像，检测车辆以及相对位置，判断是否发生拥堵。'."\n"
+ .'- 道路拥堵检测：通过道路监控间隔时间内捕捉的前后图像，检测车辆以及相对位置，判断是否发生拥堵。'."\n"
+ ."\n"
+ .'## 特色优势'."\n"
+ .'检测数据量少：无需较大数据量的视频，仅通过检测两张图片，即可判断是否发生拥堵。'."\n"
+ ."\n"
+ .'## 接入指引'."\n"
+ .'1. 注册阿里云账号：打开[阿里云官网](https://www.aliyun.com)，在阿里云官网右上角，单击**立即注册**，按照操作提示完成账号注册。'."\n"
+ .'2. 开通能力：请确保您已开通[目标检测服务](https://vision.aliyun.com/objectdet)，若未开通服务请[立即开通](https://common-buy.aliyun.com/?commodityCode=viapi_objectdet_public_cn#/open)。'."\n"
+ .'3. 创建AccessKey：请确保您已[创建AccessKey](~~175144~~)，如果您使用的是子账号AccessKey，您需要给子账号赋予AliyunVIAPIFullAccess权限，具体操作，请参见[RAM授权](~~145025~~)。'."\n"
+ .'4. 在线调试（可选）：您可以通过[OpenAPI Explorer](https://next.api.aliyun.com/api/objectdet/2019-12-30/DetectVehicleICongestion?lang=JAVA&sdkStyle=dara&params=%7B%22ImageURL%22%3A%22http%3A%2F%2Fviapi-test.oss-cn-shanghai.aliyuncs.com%2Fviapi-3.0domepic%2Fobjectdet%2FDetectVehicleICongestion%2FDetectVehicleICongestion1.jpg%22%2C%22%20RoadRegion%22%3A%22%5B100%2C125%2C830%2C125%2C100%2C425%2C830%2C425%5D%22%2C%22RoadRegions%22%3A%5B%7B%22RoadRegion%22%3A%5B%7B%22Point%22%3A%7B%22X%22%3A100%2C%22Y%22%3A125%7D%7D%2C%7B%22Point%22%3A%7B%22X%22%3A830%2C%22Y%22%3A125%7D%7D%2C%7B%22Point%22%3A%7B%22X%22%3A100%2C%22Y%22%3A425%7D%7D%2C%7B%22Point%22%3A%7B%22X%22%3A830%2C%22Y%22%3A425%7D%7D%5D%7D%5D%7D&tab=DEMO)在线调试能力，查看完整的调用示例代码及SDK依赖信息，也可以下载完整的工程。'."\n"
+ ."\n"
+ .'5. 开发接入步骤：'."\n"
+ .'- 在[SDK总览](~~145033~~)中选择您要接入使用的SDK语言。'."\n"
+ .'- 在对应语言的SDK文档中找到AI类目为目标检测（objectdet）类目的SDK包进行安装。'."\n"
+ .'- 参考文档中提供的示例代码进行适当修改后调用。'."\n"
+ ."\n"
+ .'6. 客户端直接调用：该能力常用的客户端调用方式包括以下几种。'."\n"
+ .'- [Web前端直接调用](~~467779~~)'."\n"
+ .'- [小程序场景下直接调用](~~467780~~)'."\n"
+ .'- [Android端直接调用](~~467781~~)'."\n"
+ .'- [iOS端直接调用](~~467782~~)'."\n"
+ ."\n"
+ .'## 输入限制'."\n"
+ ."\n"
+ .'- 图像格式：JPEG、JPG、PNG、BMP。'."\n"
+ .'- 图像大小：不超过500 KB。'."\n"
+ .'- 图像分辨率：大于20×20像素，小于800×800像素，长宽比小于等于2。'."\n"
+ .'- URL地址中不能包含中文字符。',
+ 'responseParamsDescription' => '## SDK参考'."\n"
+ .'阿里云视觉AI目标检测类目下的车辆拥堵检测能力推荐使用SDK调用，支持多种编程语言，调用时请选择AI类目为目标检测（objectdet）的SDK包，文件参数通过SDK调用可支持本地文件及任意URL，具体可参见[SDK总览](~~145033~~)。',
+ 'extraInfo' => '## 错误码'."\n"
+ .'关于车辆拥堵检测的错误码，详情请参见[常见错误码](~~146760~~)。'."\n"
+ ."\n"
+ .'## 安全声明'."\n"
+ .'- 请确保上传的图片或文件来源符合相应的法律法规。'."\n"
+ .'- 通过体验调试上传的临时文件有效期为1小时，在24小时后会被系统自动清理删除。',
+ ],
+ 'DetectVehicleIllegalParking' => [
+ 'summary' => '本文为您介绍目标检测（objectdet）类目下的车辆违停检测DetectVehicleIllegalParking的语法及示例。',
+ 'methods' => [
+ 'post',
+ ],
+ 'schemes' => [
+ 'http',
+ 'https',
+ ],
+ 'security' => [
+ [
+ 'AK' => [],
+ ],
+ ],
+ 'deprecated' => false,
+ 'systemTags' => [
+ 'operationType' => 'create',
+ ],
+ 'parameters' => [
+ [
+ 'name' => 'ImageURL',
+ 'in' => 'formData',
+ 'schema' => [
+ 'title' => 'A short description of struct',
+ 'description' => '图像URL地址。推荐使用上海地域的OSS链接，对于文件在本地或者非上海地域OSS链接的情况，请参见[文件URL处理](~~155645~~)。',
+ 'type' => 'string',
+ 'required' => true,
+ 'example' => 'http://viapi-test.oss-cn-shanghai.aliyuncs.com/viapi-3.0domepic/objectdet/DetectVehicleIllegalParking/DetectVehicleIllegalParking2.jpg',
+ 'maxItems' => 1,
+ 'minItems' => 20,
+ 'isFileTransferUrl' => true,
+ ],
+ ],
+ [
+ 'name' => 'RoadRegions',
+ 'in' => 'formData',
+ 'style' => 'json',
+ 'schema' => [
+ 'description' => '多个区域。格式为[RoadRegion\\_1, RoadRegion\\_2, ..., RoadRegion\\_N]。',
+ 'type' => 'array',
+ 'items' => [
+ 'type' => 'object',
+ 'properties' => [
+ 'RoadRegion' => [
+ 'description' => '任意四边形的四个顶点的坐标X和Y，格式为`[x1,y1,x2,y2,x3,y3,x4,y4]`。',
+ 'type' => 'array',
+ 'items' => [
+ 'type' => 'object',
+ 'properties' => [
+ 'Point' => [
+ 'description' => '四边形的顶点坐标。',
+ 'type' => 'object',
+ 'properties' => [
+ 'X' => [
+ 'description' => '坐标点的X值。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'required' => true,
+ 'example' => '400',
+ ],
+ 'Y' => [
+ 'description' => '坐标点的Y值。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'required' => true,
+ 'example' => '400',
+ ],
+ ],
+ 'required' => true,
+ ],
+ ],
+ 'required' => false,
+ ],
+ 'required' => true,
+ ],
+ ],
+ 'required' => false,
+ ],
+ 'required' => true,
+ ],
+ ],
+ ],
+ 'responses' => [
+ 200 => [
+ 'schema' => [
+ 'title' => 'Schema of Response',
+ 'description' => 'Schema of Response',
+ 'type' => 'object',
+ 'properties' => [
+ 'RequestId' => [
+ 'title' => 'Id of the request',
+ 'description' => '请求ID。',
+ 'type' => 'string',
+ 'example' => 'DB882EDD-991A-5A0C-A19B-CC7C4BA65E35',
+ ],
+ 'Data' => [
+ 'description' => '返回的结果数据内容。',
+ 'type' => 'object',
+ 'properties' => [
+ 'Elements' => [
+ 'description' => '车辆检测框的集合。',
+ 'type' => 'array',
+ 'items' => [
+ 'type' => 'object',
+ 'properties' => [
+ 'Boxes' => [
+ 'description' => '检测框坐标，格式为`[left, top, right, bottom]`。',
+ 'type' => 'array',
+ 'items' => [
+ 'type' => 'object',
+ 'properties' => [
+ 'Left' => [
+ 'description' => '矩形区域的左上角横轴坐标。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '413',
+ ],
+ 'Top' => [
+ 'description' => '矩形区域的左上角纵轴坐标。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '138',
+ ],
+ 'Right' => [
+ 'description' => '矩形区域的右下角横轴坐标。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '499',
+ ],
+ 'Bottom' => [
+ 'description' => '矩形区域的右下角纵轴坐标。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '268',
+ ],
+ ],
+ ],
+ ],
+ 'Score' => [
+ 'description' => '检测框的置信度，范围为`[0,1]`。',
+ 'type' => 'number',
+ 'format' => 'float',
+ 'example' => '0.9599609375',
+ ],
+ 'TypeName' => [
+ 'description' => '检测框对应的物体。取值仅为`vehicle`。',
+ 'type' => 'string',
+ 'example' => 'vehicle',
+ ],
+ 'Id' => [
+ 'description' => '检测框ID。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '1',
+ ],
+ ],
+ ],
+ ],
+ 'RegionIntersects' => [
+ 'description' => '与各个给定区域相交集的车辆检测框对应的车辆特征。'."\n"
+ ."\n"
+ .'例如，返回结果为[ {"Ids":[1,3]}, {"Ids":[2,4]} ]，其中{"Ids":[1,3]}是与区域1相交集的车辆检测框的ID， {"Ids":[2,4]}是与区域2相交集的车辆检测框的ID。当车辆出现在给定区域内，说明存在车辆占道的情况。'."\n"
+ ."\n"
+ .'除了**RegionIntersects**里包含的ID的检测框外，其它的检测框为区域外的检测框。',
+ 'type' => 'array',
+ 'items' => [
+ 'type' => 'object',
+ 'properties' => [
+ 'Ids' => [
+ 'description' => '与各个指定区域相交集的车辆检测框的多个ID。',
+ 'type' => 'array',
+ 'items' => [
+ 'description' => '与各个指定区域相交集的车辆检测框的多个ID。'."\n"
+ ."\n"
+ .'例如，{"Ids":[1,3]}是与相应区域相交集的车辆检测框的IDs。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '[1,2,3]',
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ 'errorCodes' => [
+ 400 => [
+ [
+ 'errorCode' => 'ParameterError',
+ 'errorMessage' => 'The parameter is invalid. Please check again.',
+ ],
+ ],
+ 403 => [
+ [
+ 'errorCode' => 'AuthFailed',
+ 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.',
+ ],
+ ],
+ 408 => [
+ [
+ 'errorCode' => 'Timeout',
+ 'errorMessage' => 'The request has timed out.',
+ ],
+ ],
+ 503 => [
+ [
+ 'errorCode' => 'ServiceUnavailable',
+ 'errorMessage' => 'The service is unavailable.',
+ ],
+ ],
+ ],
+ 'responseDemo' => '[{"type":"json","example":"{\\n \\"RequestId\\": \\"DB882EDD-991A-5A0C-A19B-CC7C4BA65E35\\",\\n \\"Data\\": {\\n \\"Elements\\": [\\n {\\n \\"Boxes\\": [\\n {\\n \\"Left\\": 413,\\n \\"Top\\": 138,\\n \\"Right\\": 499,\\n \\"Bottom\\": 268\\n }\\n ],\\n \\"Score\\": 0.9599609375,\\n \\"TypeName\\": \\"vehicle\\",\\n \\"Id\\": 1\\n }\\n ],\\n \\"RegionIntersects\\": [\\n {\\n \\"Ids\\": [\\n 0\\n ]\\n }\\n ]\\n }\\n}","errorExample":""},{"type":"xml","example":"<DetectVehicleIllegalParkingResponse>\\n <RequestId>DB882EDD-991A-5A0C-A19B-CC7C4BA65E35</RequestId>\\n <Data>\\n <RegionIntersects>\\n <Ids>1</Ids>\\n <Ids>2</Ids>\\n <Ids>3</Ids>\\n <Ids>4</Ids>\\n <Ids>5</Ids>\\n <Ids>6</Ids>\\n <Ids>7</Ids>\\n <Ids>8</Ids>\\n <Ids>10</Ids>\\n <Ids>11</Ids>\\n </RegionIntersects>\\n <Elements>\\n <Score>0.9599609375</Score>\\n <TypeName>vehicle</TypeName>\\n <Id>0</Id>\\n <Boxes>\\n <Left>413</Left>\\n <Top>138</Top>\\n <Right>499</Right>\\n <Bottom>268</Bottom>\\n </Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.95751953125</Score>\\n <TypeName>vehicle</TypeName>\\n <Id>1</Id>\\n <Boxes>\\n <Left>146</Left>\\n <Top>121</Top>\\n <Right>371</Right>\\n <Bottom>284</Bottom>\\n </Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.93310546875</Score>\\n <TypeName>vehicle</TypeName>\\n <Id>2</Id>\\n <Boxes>\\n <Left>54</Left>\\n <Top>92</Top>\\n <Right>164</Right>\\n <Bottom>213</Bottom>\\n </Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.9326171875</Score>\\n <TypeName>vehicle</TypeName>\\n <Id>3</Id>\\n <Boxes>\\n <Left>94</Left>\\n <Top>141</Top>\\n <Right>171</Right>\\n <Bottom>232</Bottom>\\n </Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.9150390625</Score>\\n <TypeName>vehicle</TypeName>\\n <Id>4</Id>\\n <Boxes>\\n <Left>303</Left>\\n <Top>114</Top>\\n <Right>430</Right>\\n <Bottom>195</Bottom>\\n </Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.82080078125</Score>\\n <TypeName>vehicle</TypeName>\\n <Id>5</Id>\\n <Boxes>\\n <Left>14</Left>\\n <Top>134</Top>\\n <Right>32</Right>\\n <Bottom>154</Bottom>\\n </Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.767578125</Score>\\n <TypeName>vehicle</TypeName>\\n <Id>6</Id>\\n <Boxes>\\n <Left>0</Left>\\n <Top>132</Top>\\n <Right>17</Right>\\n <Bottom>151</Bottom>\\n </Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.767578125</Score>\\n <TypeName>vehicle</TypeName>\\n <Id>7</Id>\\n <Boxes>\\n <Left>37</Left>\\n <Top>133</Top>\\n <Right>56</Right>\\n <Bottom>162</Bottom>\\n </Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.765625</Score>\\n <TypeName>vehicle</TypeName>\\n <Id>8</Id>\\n <Boxes>\\n <Left>27</Left>\\n <Top>131</Top>\\n <Right>55</Right>\\n <Bottom>158</Bottom>\\n </Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.75341796875</Score>\\n <TypeName>vehicle</TypeName>\\n <Id>9</Id>\\n <Boxes>\\n <Left>408</Left>\\n <Top>14</Top>\\n <Right>499</Right>\\n <Bottom>143</Bottom>\\n </Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.517578125</Score>\\n <TypeName>vehicle</TypeName>\\n <Id>10</Id>\\n <Boxes>\\n <Left>164</Left>\\n <Top>130</Top>\\n <Right>183</Right>\\n <Bottom>144</Bottom>\\n </Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.355712890625</Score>\\n <TypeName>vehicle</TypeName>\\n <Id>11</Id>\\n <Boxes>\\n <Left>1</Left>\\n <Top>133</Top>\\n <Right>31</Right>\\n <Bottom>153</Bottom>\\n </Boxes>\\n </Elements>\\n </Data>\\n</DetectVehicleIllegalParkingResponse>","errorExample":""}]',
+ 'title' => '检测车辆非法停车',
+ 'description' => '## 服务说明'."\n"
+ .'由于产品业务调整，车辆违停检测服务于 即日起停止新用户开通调用，历史开通过该服务的老用户可继续调用，2026年04月20日后该服务将下架，不再支持新老用户调用，请尽早寻找替代方案。如果对车辆违停检测 API 服务使用有疑问，可通过搜索钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+ ."\n"
+ .'## 功能描述'."\n"
+ .'车辆违停检测能力可通过检测图片中目标区域内是否有车辆停放。'."\n"
+ ."\n"
+ .'> - 您可以进入[在线咨询](https://www.aliyun.com/core/online-consult?from=aZgW6LJHr2)获取在线人工帮助。'."\n"
+ .'- 阿里云视觉智能开放平台视觉AI能力API接入、接口使用或问题咨询等，请通过钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+ ."\n"
+ .'## 应用场景'."\n"
+ ."\n"
+ .'- 消防通道占用：通过检测消防通道区域是否有车辆，可以判断是否有车辆占用了消防通道。'."\n"
+ .'- 出入口违停：检测停车场、商场、小区、园区出入口指定区域是否有车辆违停。'."\n"
+ ."\n"
+ .'## 特色优势'."\n"
+ ."\n"
+ .'- 方便改造部署：仅需提供图像即可检测判断。'."\n"
+ .'- 支持多种角度：支持通过多种角度检测是否存在车辆违停。'."\n"
+ ."\n\n"
+ .'## 输入限制'."\n"
+ ."\n"
+ .'- 图像格式：JPEG、JPG、PNG、BMP。'."\n"
+ .'- 图像大小：建议不超过3M。'."\n"
+ .'- 图像分辨率：大于20×20像素，建议小于3000×3000像素。'."\n"
+ .'- URL地址中不能包含中文字符。'."\n"
+ .'## 安全声明'."\n"
+ .'- 请确保上传的图片或文件来源符合相应的法律法规。'."\n"
+ .'- 通过体验调试上传的临时文件有效期为1小时，在24小时后会被系统自动清理删除。'."\n"
+ ."\n"
+ .'## 计费说明'."\n"
+ .'关于车辆违停检测的计费方式及报价，请参见[计费介绍](~~202484~~)。'."\n"
+ ."\n"
+ .'> 下方调试接口为付费接口，如需免费体验调试请前往[体验中心](https://vision.aliyun.com/experience/detail?&tagName=objectdet&children=DetectVehicleIllegalParking)。',
+ 'responseParamsDescription' => '## SDK参考'."\n"
+ .'阿里云视觉AI目标检测类目下的车辆违停检测能力推荐使用SDK调用，支持多种编程语言，调用时请选择AI类目为目标检测（objectdet）的SDK包，文件参数通过SDK调用可支持本地文件及任意URL，具体可参见[SDK总览](~~145033~~)。',
+ ],
+ 'DetectMainBody' => [
+ 'methods' => [
+ 'post',
+ 'get',
+ ],
+ 'schemes' => [
+ 'http',
+ 'https',
+ ],
+ 'security' => [
+ [
+ 'AK' => [],
+ ],
+ ],
+ 'operationType' => 'read',
+ 'deprecated' => false,
+ 'systemTags' => [],
+ 'parameters' => [
+ [
+ 'name' => 'ImageURL',
+ 'in' => 'query',
+ 'schema' => [
+ 'description' => '图像URL地址。推荐使用上海地域的OSS链接，对于文件在本地或者非上海地域OSS链接的情况，请参见[文件URL处理](~~155645~~)。',
+ 'type' => 'string',
+ 'required' => true,
+ 'example' => 'http://viapi-test.oss-cn-shanghai.aliyuncs.com/viapi-3.0domepic/objectdet/DetectMainBody/DetectMainBody1.jpg',
+ 'isFileTransferUrl' => true,
+ ],
+ ],
+ ],
+ 'responses' => [
+ 200 => [
+ 'schema' => [
+ 'type' => 'object',
+ 'properties' => [
+ 'RequestId' => [
+ 'description' => '请求ID。',
+ 'type' => 'string',
+ 'example' => '2E59C333-5480-4231-A8AB-BEE1001EA7FE',
+ ],
+ 'Data' => [
+ 'description' => '返回的结果数据内容。',
+ 'type' => 'object',
+ 'properties' => [
+ 'Location' => [
+ 'description' => '图像定位信息。',
+ 'type' => 'object',
+ 'properties' => [
+ 'Width' => [
+ 'description' => '元素宽度。',
+ 'type' => 'integer',
+ 'format' => 'int32',
+ 'example' => '583',
+ ],
+ 'Height' => [
+ 'description' => '元素高度。',
+ 'type' => 'integer',
+ 'format' => 'int32',
+ 'example' => '320',
+ ],
+ 'Y' => [
+ 'description' => '元素y坐标。',
+ 'type' => 'integer',
+ 'format' => 'int32',
+ 'example' => '20',
+ ],
+ 'X' => [
+ 'description' => '元素x坐标。',
+ 'type' => 'integer',
+ 'format' => 'int32',
+ 'example' => '28',
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ 'errorCodes' => [
+ 400 => [
+ [
+ 'errorCode' => 'ParameterError',
+ 'errorMessage' => 'The parameter is invalid. Please check again.',
+ ],
+ ],
+ 403 => [
+ [
+ 'errorCode' => 'AuthFailed',
+ 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.',
+ ],
+ ],
+ 408 => [
+ [
+ 'errorCode' => 'Timeout',
+ 'errorMessage' => 'The request has timed out.',
+ ],
+ ],
+ 503 => [
+ [
+ 'errorCode' => 'ServiceUnavailable',
+ 'errorMessage' => 'The service is unavailable.',
+ ],
+ ],
+ ],
+ 'responseDemo' => '[{"type":"json","example":"{\\n \\"RequestId\\": \\"2E59C333-5480-4231-A8AB-BEE1001EA7FE\\",\\n \\"Data\\": {\\n \\"Location\\": {\\n \\"Width\\": 583,\\n \\"Height\\": 320,\\n \\"Y\\": 20,\\n \\"X\\": 28\\n }\\n }\\n}","errorExample":""},{"type":"xml","example":"<DetectMainBodyResponse>\\n <RequestId>2E59C333-5480-4231-A8AB-BEE1001EA7FE</RequestId>\\n <Data>\\n <Location>\\n <X>28</X>\\n <Y>20</Y>\\n <Height>320</Height>\\n <Width>583</Width>\\n </Location>\\n </Data>\\n</DetectMainBodyResponse>","errorExample":""}]',
+ 'title' => '主体检测',
+ 'summary' => '本文为您介绍目标检测（objectdet）类目下的主体检测DetectMainBody的语法及示例。',
+ 'description' => '## 功能描述'."\n"
+ .'主体检测能力对输入图片进行检测，输出主体定位信息。'."\n"
+ ."\n"
+ .'> - 您可以进入[在线咨询](https://www.aliyun.com/core/online-consult?from=aZgW6LJHr2)获取在线人工帮助。'."\n"
+ .'- 当前能力可在视觉智能开放平台有完整的免费产品体验，您可以单击[立即试用](https://vision.aliyun.com/experience/detail?&tagName=objectdet&children=DetectMainBody)对该能力进行更直观试用以及在线购买。'."\n"
+ .'- 阿里云视觉智能开放平台视觉AI能力API接入、接口使用或问题咨询等，请通过钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+ ."\n"
+ .'## 接入指引'."\n"
+ .'1. 注册阿里云账号：打开[阿里云官网](https://www.aliyun.com)，在阿里云官网右上角，单击**立即注册**，按照操作提示完成账号注册。'."\n"
+ .'2. 开通能力：请确保您已开通[目标检测服务](https://vision.aliyun.com/objectdet)，若未开通服务请[立即开通](https://common-buy.aliyun.com/?commodityCode=viapi_objectdet_public_cn#/open)。'."\n"
+ .'3. 创建AccessKey：请确保您已[创建AccessKey](~~175144~~)，如果您使用的是子账号AccessKey，您需要给子账号赋予AliyunVIAPIFullAccess权限，具体操作，请参见[RAM授权](~~145025~~)。'."\n"
+ .'4. 在线调试（可选）：您可以通过[OpenAPI Explorer](https://next.api.aliyun.com/api/objectdet/2019-12-30/DetectMainBody?lang=JAVA&sdkStyle=old&params=%7B%22ImageURL%22%3A%22http%3A%2F%2Fviapi-test.oss-cn-shanghai.aliyuncs.com%2Fviapi-3.0domepic%2Fobjectdet%2FDetectMainBody%2FDetectMainBody1.jpg%22%7D&tab=DEMO)在线调试能力，查看完整的调用示例代码及SDK依赖信息，也可以下载完整的工程。'."\n"
+ ."\n"
+ .'5. 开发接入步骤：'."\n"
+ .'- 在[SDK总览](~~145033~~)中选择您要接入使用的SDK语言。'."\n"
+ .'- 在对应语言的SDK文档中找到AI类目为目标检测（objectdet）类目的SDK包进行安装。'."\n"
+ .'- 参考文档中提供的示例代码进行适当修改后调用。'."\n"
+ ."\n"
+ .'6. 示例代码：该能力常用语言的示例代码，请参见[主体检测示例代码](~~604398~~)。'."\n"
+ ."\n"
+ .'7. 客户端直接调用：该能力常用的客户端调用方式包括以下几种。'."\n"
+ .'- [Web前端直接调用](~~467779~~)'."\n"
+ .'- [小程序场景下直接调用](~~467780~~)'."\n"
+ .'- [Android端直接调用](~~467781~~)'."\n"
+ .'- [iOS端直接调用](~~467782~~)'."\n"
+ ."\n"
+ .'## 输入限制'."\n"
+ ."\n"
+ .'- 图像格式：PNG（不支持8位、16位和64位的PNG）、JPG、JPEG、BMP。'."\n"
+ .'- 图像大小：不超过3 MB。'."\n"
+ .'- 图像分辨率：小于1280×1280像素。'."\n"
+ .'- URL地址中不能包含中文字符。'."\n"
+ ."\n"
+ .'## 计费说明'."\n"
+ .'关于主体检测的计费方式及报价，请参见[计费介绍](~~202484~~)。'."\n"
+ ."\n"
+ .'> 下方调试接口为付费接口，如需免费体验调试请前往[体验中心](https://vision.aliyun.com/experience/detail?&tagName=objectdet&children=DetectMainBody)。',
+ 'requestParamsDescription' => ' ',
+ 'responseParamsDescription' => '## SDK参考'."\n"
+ .'阿里云视觉AI目标检测类目下的主体检测能力推荐使用SDK调用，支持多种编程语言，调用时请选择AI类目为目标检测（objectdet）的SDK包，文件参数通过SDK调用可支持本地文件及任意URL，具体可参见[SDK总览](~~145033~~)。'."\n"
+ ."\n"
+ .'## 示例代码'."\n"
+ .'该能力常用语言的示例代码，请参见[主体检测示例代码](~~604398~~)。',
+ 'extraInfo' => '## 错误码'."\n"
+ .'关于主体检测的错误码，详情请参见[常见错误码](~~146760~~)。'."\n"
+ ."\n\n"
+ .'## 安全声明'."\n"
+ .'- 请确保上传的图片或文件来源符合相应的法律法规。'."\n"
+ .'- 通过体验调试上传的临时文件有效期为1小时，在24小时后会被系统自动清理删除。',
+ ],
+ 'DetectWhiteBaseImage' => [
+ 'methods' => [
+ 'post',
+ ],
+ 'schemes' => [
+ 'http',
+ 'https',
+ ],
+ 'security' => [
+ [
+ 'AK' => [],
+ ],
+ ],
+ 'operationType' => 'read',
+ 'deprecated' => false,
+ 'systemTags' => [],
+ 'parameters' => [
+ [
+ 'name' => 'ImageURL',
+ 'in' => 'formData',
+ 'schema' => [
+ 'description' => '图像URL地址。推荐使用上海地域的OSS链接，对于文件在本地或者非上海地域OSS链接的情况，请参见[文件URL处理](~~155645~~)。',
+ 'type' => 'string',
+ 'required' => true,
+ 'example' => 'http://viapi-test.oss-cn-shanghai.aliyuncs.com/viapi-3.0domepic/objectdet/DetectWhiteBaseImage/DetectWhiteBaseImage1.jpg',
+ 'isFileTransferUrl' => true,
+ ],
+ ],
+ ],
+ 'responses' => [
+ 200 => [
+ 'schema' => [
+ 'type' => 'object',
+ 'properties' => [
+ 'RequestId' => [
+ 'description' => '请求ID。',
+ 'type' => 'string',
+ 'example' => '7A7F9EEB-44C4-4592-9089-A6185B222B23',
+ ],
+ 'Data' => [
+ 'description' => '返回的结果数据内容。',
+ 'type' => 'object',
+ 'properties' => [
+ 'Elements' => [
+ 'description' => '返回判断结果。',
+ 'type' => 'array',
+ 'items' => [
+ 'type' => 'object',
+ 'properties' => [
+ 'WhiteBase' => [
+ 'description' => '是否白底图。'."\n"
+ ."\n"
+ .'- 0：非白底'."\n"
+ ."\n"
+ .'- 1：白底'."\n"
+ ."\n",
+ 'type' => 'integer',
+ 'format' => 'int32',
+ 'example' => '0',
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ 'errorCodes' => [
+ 400 => [
+ [
+ 'errorCode' => 'ParameterError',
+ 'errorMessage' => 'The parameter is invalid. Please check again.',
+ ],
+ ],
+ 403 => [
+ [
+ 'errorCode' => 'AuthFailed',
+ 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.',
+ ],
+ ],
+ 408 => [
+ [
+ 'errorCode' => 'Timeout',
+ 'errorMessage' => 'The request has timed out.',
+ ],
+ ],
+ 503 => [
+ [
+ 'errorCode' => 'ServiceUnavailable',
+ 'errorMessage' => 'The service is unavailable.',
+ ],
+ ],
+ ],
+ 'responseDemo' => '[{"type":"json","example":"{\\n \\"RequestId\\": \\"7A7F9EEB-44C4-4592-9089-A6185B222B23\\",\\n \\"Data\\": {\\n \\"Elements\\": [\\n {\\n \\"WhiteBase\\": 0\\n }\\n ]\\n }\\n}","errorExample":""},{"type":"xml","example":"<DetectWhiteBaseImageResponse>\\n <RequestId>7A7F9EEB-44C4-4592-9089-A6185B222B23</RequestId>\\n <Data>\\n <Elements>\\n <WhiteBase>0</WhiteBase>\\n </Elements>\\n </Data>\\n</DetectWhiteBaseImageResponse>","errorExample":""}]',
+ 'title' => '白底图检测',
+ 'summary' => '本文为您介绍目标检测（objectdet）类目下的白底图检测DetectWhiteBaseImage的语法及示例。',
+ 'description' => '## 功能描述'."\n"
+ .'白底图检测能力用于检测图片背景是否为白底图。'."\n"
+ ."\n"
+ .'> - 您可以进入[在线咨询](https://www.aliyun.com/core/online-consult?from=aZgW6LJHr2)获取在线人工帮助。'."\n"
+ .'- 当前能力可在视觉智能开放平台有完整的免费产品体验，您可以单击[立即试用](https://vision.aliyun.com/experience/detail?&tagName=objectdet&children=DetectWhiteBaseImage)对该能力进行更直观试用以及在线购买。'."\n"
+ .'- 阿里云视觉智能开放平台视觉AI能力API接入、接口使用或问题咨询等，请通过钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+ ."\n\n"
+ .'## 接入指引'."\n"
+ .'1. 注册阿里云账号：打开[阿里云官网](https://www.aliyun.com)，在阿里云官网右上角，单击**立即注册**，按照操作提示完成账号注册。'."\n"
+ .'2. 开通能力：请确保您已开通[目标检测服务](https://vision.aliyun.com/objectdet)，若未开通服务请[立即开通](https://common-buy.aliyun.com/?commodityCode=viapi_objectdet_public_cn#/open)。'."\n"
+ .'3. 创建AccessKey：请确保您已[创建AccessKey](~~175144~~)，如果您使用的是子账号AccessKey，您需要给子账号赋予AliyunVIAPIFullAccess权限，具体操作，请参见[RAM授权](~~145025~~)。'."\n"
+ .'4. 在线调试（可选）：您可以通过[OpenAPI Explorer](https://next.api.aliyun.com/api/objectdet/2019-12-30/DetectWhiteBaseImage?lang=JAVA&sdkStyle=old&params=%7B%22ImageURL%22%3A%22http%3A%2F%2Fviapi-test.oss-cn-shanghai.aliyuncs.com%2Fviapi-3.0domepic%2Fobjectdet%2FDetectWhiteBaseImage%2FDetectWhiteBaseImage1.jpg%22%7D&tab=DEMO)在线调试能力，查看完整的调用示例代码及SDK依赖信息，也可以下载完整的工程。'."\n"
+ ."\n"
+ .'5. 开发接入步骤：'."\n"
+ .'- 在[SDK总览](~~145033~~)中选择您要接入使用的SDK语言。'."\n"
+ .'- 在对应语言的SDK文档中找到AI类目为目标检测（objectdet）类目的SDK包进行安装。'."\n"
+ .'- 参考文档中提供的示例代码进行适当修改后调用。'."\n"
+ ."\n"
+ .'6. 示例代码：该能力常用语言的示例代码，请参见[白底图检测示例代码](~~604401~~)。'."\n"
+ ."\n"
+ .'7. 客户端直接调用：该能力常用的客户端调用方式包括以下几种。'."\n"
+ .'- [Web前端直接调用](~~467779~~)'."\n"
+ .'- [小程序场景下直接调用](~~467780~~)'."\n"
+ .'- [Android端直接调用](~~467781~~)'."\n"
+ .'- [iOS端直接调用](~~467782~~)'."\n"
+ ."\n"
+ .'## 输入限制'."\n"
+ .'- 图像格式：JPG、JPEG、PNG。'."\n"
+ .'- 图像大小：不超过3 MB。'."\n"
+ .'- 图像分辨率：大于32×32像素，小于1280×1280像素。'."\n"
+ .'- URL地址中不能包含中文字符。'."\n"
+ .'## 安全声明'."\n"
+ .'- 请确保上传的图片或文件来源符合相应的法律法规。'."\n"
+ .'- 通过体验调试上传的临时文件有效期为1小时，在24小时后会被系统自动清理删除。'."\n"
+ .'## 计费说明'."\n"
+ .'关于白底图检测的计费方式及报价，请参见[计费介绍](~~202484~~)。'."\n"
+ ."\n"
+ .'> 下方调试接口为付费接口，如需免费体验调试请前往[体验中心](https://vision.aliyun.com/experience/detail?&tagName=objectdet&children=DetectWhiteBaseImage)。',
+ 'requestParamsDescription' => ' ',
+ 'responseParamsDescription' => '## SDK参考'."\n"
+ .'阿里云视觉AI目标检测类目下的白底图检测能力推荐使用SDK调用，支持多种编程语言，调用时请选择AI类目为目标检测（objectdet）的SDK包，文件参数通过SDK调用可支持本地文件及任意URL，具体可参见[SDK总览](~~145033~~)。'."\n"
+ ."\n"
+ .'## 示例代码'."\n"
+ .'该能力常用语言的示例代码，请参见[白底图检测示例代码](~~604401~~)。',
+ ],
+ 'DetectObject' => [
+ 'methods' => [
+ 'post',
+ ],
+ 'schemes' => [
+ 'http',
+ 'https',
+ ],
+ 'security' => [
+ [
+ 'AK' => [],
+ ],
+ ],
+ 'operationType' => 'read',
+ 'deprecated' => false,
+ 'systemTags' => [
+ 'operationType' => 'create',
+ ],
+ 'parameters' => [
+ [
+ 'name' => 'ImageURL',
+ 'in' => 'formData',
+ 'schema' => [
+ 'description' => '图像URL地址。推荐使用上海地域的OSS链接，对于文件在本地或者非上海地域OSS链接的情况，请参见[文件URL处理](~~155645~~)。',
+ 'type' => 'string',
+ 'required' => true,
+ 'example' => 'http://viapi-test.oss-cn-shanghai.aliyuncs.com/viapi-3.0domepic/objectdet/DetectObject/DetectObject1.jpg',
+ 'isFileTransferUrl' => true,
+ ],
+ ],
+ ],
+ 'responses' => [
+ 200 => [
+ 'schema' => [
+ 'type' => 'object',
+ 'properties' => [
+ 'RequestId' => [
+ 'description' => '请求ID。',
+ 'type' => 'string',
+ 'example' => '6EF97B44-2763-4EAD-8737-FB9F5EE25FE2',
+ ],
+ 'Data' => [
+ 'description' => '返回的结果数据内容。',
+ 'type' => 'object',
+ 'properties' => [
+ 'Elements' => [
+ 'description' => '检测框数据集合。',
+ 'type' => 'array',
+ 'items' => [
+ 'type' => 'object',
+ 'properties' => [
+ 'Type' => [
+ 'description' => '检测框对应的物体名称。具体类型如下所示。',
+ 'type' => 'string',
+ 'example' => 'chair',
+ ],
+ 'Boxes' => [
+ 'type' => 'array',
+ 'items' => [
+ 'description' => '检测框坐标，格式为`[left, top, right, bottom]`。',
+ 'type' => 'integer',
+ 'format' => 'int32',
+ 'example' => '[468, 238, 531, 299]',
+ ],
+ ],
+ 'Score' => [
+ 'description' => '检测到物体的置信度，取值范围为0~1。',
+ 'type' => 'number',
+ 'format' => 'float',
+ 'example' => '0.266',
+ ],
+ ],
+ ],
+ ],
+ 'Width' => [
+ 'description' => '图片的宽度。',
+ 'type' => 'integer',
+ 'format' => 'int32',
+ 'example' => '533',
+ ],
+ 'Height' => [
+ 'description' => '图片的高度。',
+ 'type' => 'integer',
+ 'format' => 'int32',
+ 'example' => '300',
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ 'errorCodes' => [
+ 400 => [
+ [
+ 'errorCode' => 'ParameterError',
+ 'errorMessage' => 'The parameter is invalid. Please check again.',
+ ],
+ ],
+ 403 => [
+ [
+ 'errorCode' => 'AuthFailed',
+ 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.',
+ ],
+ ],
+ 408 => [
+ [
+ 'errorCode' => 'Timeout',
+ 'errorMessage' => 'The request has timed out.',
+ ],
+ ],
+ 503 => [
+ [
+ 'errorCode' => 'ServiceUnavailable',
+ 'errorMessage' => 'The service is unavailable.',
+ ],
+ ],
+ ],
+ 'responseDemo' => '[{"type":"json","example":"{\\n \\"RequestId\\": \\"6EF97B44-2763-4EAD-8737-FB9F5EE25FE2\\",\\n \\"Data\\": {\\n \\"Elements\\": [\\n {\\n \\"Type\\": \\"chair\\",\\n \\"Boxes\\": [\\n 0\\n ],\\n \\"Score\\": 0.266\\n }\\n ],\\n \\"Width\\": 533,\\n \\"Height\\": 300\\n }\\n}","errorExample":""},{"type":"xml","example":"<DetectObjectResponse>\\n <RequestId>6EF97B44-2763-4EAD-8737-FB9F5EE25FE2</RequestId>\\n <Data>\\n <Height>300</Height>\\n <Elements>\\n <Score>0.266</Score>\\n <Type>chair</Type>\\n <Boxes>468</Boxes>\\n <Boxes>238</Boxes>\\n <Boxes>531</Boxes>\\n <Boxes>299</Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.213</Score>\\n <Type>chair</Type>\\n <Boxes>452</Boxes>\\n <Boxes>168</Boxes>\\n <Boxes>531</Boxes>\\n <Boxes>233</Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.308</Score>\\n <Type>picture/frame</Type>\\n <Boxes>487</Boxes>\\n <Boxes>44</Boxes>\\n <Boxes>501</Boxes>\\n <Boxes>96</Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.257</Score>\\n <Type>picture/frame</Type>\\n <Boxes>477</Boxes>\\n <Boxes>67</Boxes>\\n <Boxes>484</Boxes>\\n <Boxes>98</Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.201</Score>\\n <Type>picture/frame</Type>\\n <Boxes>503</Boxes>\\n <Boxes>26</Boxes>\\n <Boxes>524</Boxes>\\n <Boxes>85</Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.515</Score>\\n <Type>pillow</Type>\\n <Boxes>161</Boxes>\\n <Boxes>141</Boxes>\\n <Boxes>181</Boxes>\\n <Boxes>158</Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.293</Score>\\n <Type>pillow</Type>\\n <Boxes>473</Boxes>\\n <Boxes>143</Boxes>\\n <Boxes>496</Boxes>\\n <Boxes>157</Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.214</Score>\\n <Type>pillow</Type>\\n <Boxes>241</Boxes>\\n <Boxes>145</Boxes>\\n <Boxes>253</Boxes>\\n <Boxes>166</Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.374</Score>\\n <Type>potted plant</Type>\\n <Boxes>449</Boxes>\\n <Boxes>97</Boxes>\\n <Boxes>477</Boxes>\\n <Boxes>140</Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.412</Score>\\n <Type>sofa</Type>\\n <Boxes>145</Boxes>\\n <Boxes>135</Boxes>\\n <Boxes>304</Boxes>\\n <Boxes>202</Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.269</Score>\\n <Type>sofa</Type>\\n <Boxes>443</Boxes>\\n <Boxes>136</Boxes>\\n <Boxes>531</Boxes>\\n <Boxes>190</Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.262</Score>\\n <Type>sofa</Type>\\n <Boxes>301</Boxes>\\n <Boxes>136</Boxes>\\n <Boxes>352</Boxes>\\n <Boxes>168</Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.242</Score>\\n <Type>sofa</Type>\\n <Boxes>452</Boxes>\\n <Boxes>167</Boxes>\\n <Boxes>531</Boxes>\\n <Boxes>230</Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.219</Score>\\n <Type>carpet</Type>\\n <Boxes>0</Boxes>\\n <Boxes>153</Boxes>\\n <Boxes>272</Boxes>\\n <Boxes>293</Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.458</Score>\\n <Type>coffee table</Type>\\n <Boxes>171</Boxes>\\n <Boxes>172</Boxes>\\n <Boxes>214</Boxes>\\n <Boxes>214</Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.358</Score>\\n <Type>coffee table</Type>\\n <Boxes>337</Boxes>\\n <Boxes>185</Boxes>\\n <Boxes>420</Boxes>\\n <Boxes>274</Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.285</Score>\\n <Type>coffee table</Type>\\n <Boxes>386</Boxes>\\n <Boxes>159</Boxes>\\n <Boxes>428</Boxes>\\n <Boxes>192</Boxes>\\n </Elements>\\n <Elements>\\n <Score>0.214</Score>\\n <Type>mirror</Type>\\n <Boxes>503</Boxes>\\n <Boxes>26</Boxes>\\n <Boxes>524</Boxes>\\n <Boxes>85</Boxes>\\n </Elements>\\n <Width>533</Width>\\n </Data>\\n</DetectObjectResponse>","errorExample":""}]',
+ 'title' => '物体检测',
+ 'summary' => '本文为您介绍目标检测（objectdet）类目下的物体检测DetectObject的语法及示例。',
+ 'description' => '## 功能描述'."\n"
+ .'物体检测能力可以检测输入图像中的物体。'."\n"
+ .'关于该接口功能的示例图如下：'."\n"
+ .'![](https://static-aliyun-doc.oss-cn-hangzhou.aliyuncs.com/file-manage-files/zh-CN/20230213/tusk/DetectObject.png" width="600)'."\n"
+ ."\n"
+ .'> - 您可以进入[在线咨询](https://www.aliyun.com/core/online-consult?from=aZgW6LJHr2)获取在线人工帮助。'."\n"
+ .'- 当前能力可在视觉智能开放平台有完整的免费产品体验，您可以单击[立即试用](https://vision.aliyun.com/experience/detail?&tagName=objectdet&children=DetectObject)对该能力进行更直观试用以及在线购买。'."\n"
+ .'- 阿里云视觉智能开放平台视觉AI能力API接入、接口使用或问题咨询等，请通过钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+ ."\n"
+ .'## 接入指引'."\n"
+ .'1. 注册阿里云账号：打开[阿里云官网](https://www.aliyun.com)，在阿里云官网右上角，单击**立即注册**，按照操作提示完成账号注册。'."\n"
+ .'2. 开通能力：请确保您已开通[目标检测服务](https://vision.aliyun.com/objectdet)，若未开通服务请[立即开通](https://common-buy.aliyun.com/?commodityCode=viapi_objectdet_public_cn#/open)。'."\n"
+ .'3. 创建AccessKey：请确保您已[创建AccessKey](~~175144~~)，如果您使用的是子账号AccessKey，您需要给子账号赋予AliyunVIAPIFullAccess权限，具体操作，请参见[RAM授权](~~145025~~)。'."\n"
+ .'4. 在线调试（可选）：您可以通过[OpenAPI Explorer](https://next.api.aliyun.com/api/objectdet/2019-12-30/DetectObject?lang=JAVA&sdkStyle=old&params=%7B%22ImageURL%22%3A%22http%3A%2F%2Fviapi-test.oss-cn-shanghai.aliyuncs.com%2Fviapi-3.0domepic%2Fobjectdet%2FDetectObject%2FDetectObject1.jpg%22%7D&tab=DEMO)在线调试能力，查看完整的调用示例代码及SDK依赖信息，也可以下载完整的工程。'."\n"
+ .'5. 开发接入步骤：'."\n"
+ ."\n"
+ .'- 在[SDK总览](~~145033~~)中选择您要接入使用的SDK语言。'."\n"
+ .'- 在对应语言的SDK文档中找到AI类目为目标检测（objectdet）类目的SDK包进行安装。'."\n"
+ .'- 参考文档中提供的示例代码进行适当修改后调用。'."\n"
+ ."\n"
+ .'6. 示例代码：该能力常用语言的示例代码，请参见[物体检测示例代码](~~604395~~)。'."\n"
+ ."\n"
+ .'7. 客户端直接调用：该能力常用的客户端调用方式包括以下几种。'."\n"
+ .'- [Web前端直接调用](~~467779~~)'."\n"
+ .'- [小程序场景下直接调用](~~467780~~)'."\n"
+ .'- [Android端直接调用](~~467781~~)'."\n"
+ .'- [iOS端直接调用](~~467782~~)'."\n"
+ ."\n"
+ .'## 输入限制'."\n"
+ ."\n"
+ .'- 图像格式：JPEG、JPG、PNG、BMP。'."\n"
+ .'- 图像大小：不超过3 MB。'."\n"
+ .'- 图像分辨率：大于20×20像素，小于4096×4096像素。'."\n"
+ .'- URL地址中不能包含中文字符。'."\n"
+ ."\n"
+ .'## 计费说明'."\n"
+ .'关于物体检测的计费方式及报价，请参见[计费介绍](~~202484~~)。'."\n"
+ ."\n"
+ .'> 下方调试接口为付费接口，如需免费体验调试请前往[体验中心](https://vision.aliyun.com/experience/detail?&tagName=objectdet&children=DetectObject)。',
+ 'requestParamsDescription' => ' ',
+ 'responseParamsDescription' => '## Type类型包括：'."\n"
+ ."\n"
+ .'human（人体）、sneakers（胶底运动鞋）、chair（椅子）、hat（帽子）、lamp（灯）、cabinet/shelf（橱柜/ 架子）、car（汽车）、glasses（眼镜）、picture/frame（照片/图画）、street lights（街灯）、helmet（头盔）、pillow（枕头）、glove（手套）、potted plant（盆栽植物）、flower（花）、monitor（显示屏）、plants pot/vase（花盆）、boots（靴子）、umbrella（伞）、boat（小船）、flag（旗帜）、speaker（扬声器/话筒）、trash bin/can（垃圾桶）、backpack（ 双肩背包）、sofa（沙发）、belt（腰带）、carpet（地毯）、coffee table（咖啡桌/茶几）、tie（领带）、bed（床）、traffic light（红绿灯）、necklace（项链）、mirror（镜子）、bicycle（自行车）、watch（手表）、horse（马）、traffic sign（交通标志）、stuffed animal（填充玩具动物）、motorbike/motorcycle（摩托车）、wild bird（鸟）、laptop（笔记本电脑）、cow（奶牛）、clock（时钟）、bus（公共汽车）、nightstand（床头柜）、sheep（绵羊）、traffic cone（锥形交通路标）、keyboard（键盘）、hockey stick（曲棍球球棍）、fan（电扇）、dog（狗）、blackboard/whiteboard（白板/黑板）、mouse（鼠标）、telephone（电话）、airplane（飞机）、skis（滑雪板）、soccer（英式足球）、combine with glove（棒球手套）、train（火车）、tent（帐篷）、sailboat（帆船）、kite（风筝）、computer box（计算机主机机箱）、elephant（大象）、stroller（折叠式婴儿车）、baseball bat（棒球棒）、skateboard（溜冰板）、surfboard（冲浪板）、cat（猫）、zebra（斑马）、sports car（跑车）、giraffe（长颈鹿）、radiator（散热器）、tennis racket（网球拍）、skating and skiing shoes（溜冰鞋）、baseball（棒球）、american football（美式橄榄球）、basketball（篮球）、printer（打印机）、fire hydrant（消防栓）、projector（投影仪）、fire extinguisher（灭火器）、tennis ball（网球）、frisbee（飞盘）、fire truck（消防车）、helicopter（直升飞机）、carriage（四轮马车）、bear（熊）、globe（地球仪）、volleyball（排球）。'."\n"
+ ."\n\n"
+ .'## SDK参考'."\n"
+ .'阿里云视觉AI目标检测类目下的物体检测能力推荐使用SDK调用，支持多种编程语言，调用时请选择AI类目为目标检测（objectdet）的SDK包，文件参数通过SDK调用可支持本地文件及任意URL，具体可参见[SDK总览](~~145033~~)。'."\n"
+ ."\n"
+ .'## 示例代码'."\n"
+ .'该能力常用语言的示例代码，请参见[物体检测示例代码](~~604395~~)。'."\n",
+ 'extraInfo' => '## 错误码'."\n"
+ .'关于物体检测的错误码，详情请参见[常见错误码](~~146760~~)。'."\n"
+ ."\n"
+ .'## 安全声明'."\n"
+ .'- 请确保上传的图片或文件来源符合相应的法律法规。'."\n"
+ .'- 通过体验调试上传的临时文件有效期为1小时，在24小时后会被系统自动清理删除。',
+ ],
+ 'DetectIPCObject' => [
+ 'summary' => '本文为您介绍目标检测（objectdet）类目下的IPC图像目标检测DetectIPCObject的语法及示例。',
+ 'methods' => [
+ 'post',
+ ],
+ 'schemes' => [
+ 'http',
+ 'https',
+ ],
+ 'security' => [
+ [
+ 'AK' => [],
+ ],
+ ],
+ 'deprecated' => false,
+ 'systemTags' => [
+ 'operationType' => 'create',
+ ],
+ 'parameters' => [
+ [
+ 'name' => 'ImageURL',
+ 'in' => 'formData',
+ 'schema' => [
+ 'title' => '图片URL地址',
+ 'description' => '图像URL地址。推荐使用上海地域的OSS链接，对于文件在本地或者非上海地域OSS链接的情况，请参见[文件URL处理](~~155645~~)。',
+ 'type' => 'string',
+ 'required' => true,
+ 'example' => 'https://viapi-test.oss-cn-shanghai.aliyuncs.com/objectdet/detect-ipc-xxxx.jpg',
+ 'isFileTransferUrl' => true,
+ ],
+ ],
+ ],
+ 'responses' => [
+ 200 => [
+ 'schema' => [
+ 'title' => 'Schema of Response',
+ 'description' => 'Schema of Response',
+ 'type' => 'object',
+ 'properties' => [
+ 'RequestId' => [
+ 'title' => 'Id of the request',
+ 'description' => '请求ID。',
+ 'type' => 'string',
+ 'example' => '7AE23740-A3E5-5607-8E10-895DCBD4C260',
+ ],
+ 'Data' => [
+ 'description' => '返回的结果数据内容。',
+ 'type' => 'object',
+ 'properties' => [
+ 'Elements' => [
+ 'description' => '检测到的目标集合，如果没有目标则为空。',
+ 'type' => 'array',
+ 'items' => [
+ 'description' => '1',
+ 'type' => 'object',
+ 'properties' => [
+ 'Type' => [
+ 'description' => '检测框对应的物体名称，取值如下：'."\n"
+ ."\n"
+ .'- PERSON：人物'."\n"
+ .'- VEHICLE：车辆'."\n"
+ .'- CAT：猫'."\n"
+ .'- DOG：狗',
+ 'type' => 'string',
+ 'example' => 'DOG',
+ ],
+ 'Score' => [
+ 'description' => '检测框的置信度，取值范围\\[0.0,1.0]。',
+ 'type' => 'number',
+ 'format' => 'float',
+ 'example' => '0.7138671875',
+ ],
+ 'Box' => [
+ 'description' => '检测框坐标。',
+ 'type' => 'array',
+ 'items' => [
+ 'description' => '检测框坐标，单位像素，格式为\\[left, top, right, bottom]。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '[10,150,1587,1193]',
+ ],
+ ],
+ 'TargetRate' => [
+ 'description' => '目标检测框的面积大小和图像大小的比例。取值范围\\[0.0,1.0]，1.0表示全屏。',
+ 'type' => 'number',
+ 'format' => 'float',
+ 'example' => '0.8566723958333333',
+ ],
+ ],
+ ],
+ ],
+ 'Width' => [
+ 'description' => '图像的宽度，单位像素。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '1600',
+ ],
+ 'Height' => [
+ 'description' => '图像的高度，单位像素。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '1200',
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ 'errorCodes' => [
+ 400 => [
+ [
+ 'errorCode' => 'ParameterError',
+ 'errorMessage' => 'The parameter is invalid. Please check again.',
+ ],
+ ],
+ 403 => [
+ [
+ 'errorCode' => 'AuthFailed',
+ 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.',
+ ],
+ ],
+ 408 => [
+ [
+ 'errorCode' => 'Timeout',
+ 'errorMessage' => 'The request has timed out.',
+ ],
+ ],
+ 503 => [
+ [
+ 'errorCode' => 'ServiceUnavailable',
+ 'errorMessage' => 'The service is unavailable.',
+ ],
+ ],
+ ],
+ 'responseDemo' => '[{"type":"json","example":"{\\n \\"RequestId\\": \\"7AE23740-A3E5-5607-8E10-895DCBD4C260\\",\\n \\"Data\\": {\\n \\"Elements\\": [\\n {\\n \\"Type\\": \\"DOG\\",\\n \\"Score\\": 0.7138671875,\\n \\"Box\\": [\\n 0\\n ],\\n \\"TargetRate\\": 0.8566723958333333\\n }\\n ],\\n \\"Width\\": 1600,\\n \\"Height\\": 1200\\n }\\n}","errorExample":""},{"type":"xml","example":"<DetectIPCObjectResponse>\\n <RequestId>7AE23740-A3E5-5607-8E10-895DCBD4C260</RequestId>\\n <Data>\\n <Height>1200</Height>\\n <Elements>\\n <TargetRate>0.21299583333333333</TargetRate>\\n <Type>CAT</Type>\\n <Score>0.85107421875</Score>\\n <Box>7</Box>\\n <Box>665</Box>\\n <Box>783</Box>\\n <Box>1192</Box>\\n </Elements>\\n <Elements>\\n <TargetRate>0.8566723958333333</TargetRate>\\n <Type>DOG</Type>\\n <Score>0.7138671875</Score>\\n <Box>10</Box>\\n <Box>150</Box>\\n <Box>1587</Box>\\n <Box>1193</Box>\\n </Elements>\\n <Width>1600</Width>\\n </Data>\\n</DetectIPCObjectResponse>","errorExample":""}]',
+ 'title' => 'IPC图像目标检测',
+ 'description' => '## 功能描述'."\n"
+ .'IPC图像目标检测能力可以检测到输入图像中的目标物体，例如人、车辆、宠物等。'."\n"
+ ."\n"
+ .'> - 您可以进入[在线咨询](https://www.aliyun.com/core/online-consult?from=aZgW6LJHr2)获取在线人工帮助。'."\n"
+ .'- 当前能力可在视觉智能开放平台有完整的免费产品体验，您可以单击[立即试用](https://vision.aliyun.com/experience/detail?&tagName=objectdet&children=DetectIPCObject)对该能力进行更直观试用以及在线购买。'."\n"
+ .'- 阿里云视觉智能开放平台视觉AI能力API接入、接口使用或问题咨询等，请通过钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+ ."\n"
+ .'## 应用场景'."\n"
+ ."\n"
+ .'- 智能看家：家中有人或宠物移动时可生成高精度视频，实现检测提醒功能。且可以关注宠物在家中的活动状况。'."\n"
+ .'- 智能看店：可对门店起到安防作用，尤其是在夜间，可及时知道有人进店。'."\n"
+ .'- 智能看厂：安全是厂区非常重要的事情，对于人员在岗以及人员入侵可以起到良好的监管作用。'."\n"
+ ."\n"
+ .'## 特色优势'."\n"
+ ."\n"
+ .'- 适用场景多：适应多种广泛的日常场景的目标检测，室内、室外、家居、店铺、商场、白天、夜间等。'."\n"
+ .'- 检测范围广：可检测的目标大小范围广，适用于大目标检测，也适用于较远摄像头下的小目标检测。'."\n"
+ .'- 检测效率高：高并发处理，处理时间短。'."\n"
+ ."\n"
+ .'## 接入指引'."\n"
+ .'1. 注册阿里云账号：打开[阿里云官网](https://www.aliyun.com)，在阿里云官网右上角，单击**立即注册**，按照操作提示完成账号注册。'."\n"
+ .'2. 开通能力：请确保您已开通[目标检测服务](https://vision.aliyun.com/objectdet)，若未开通服务请[立即开通](https://common-buy.aliyun.com/?commodityCode=viapi_objectdet_public_cn#/open)。'."\n"
+ .'3. 创建AccessKey：请确保您已[创建AccessKey](~~175144~~)，如果您使用的是子账号AccessKey，您需要给子账号赋予AliyunVIAPIFullAccess权限，具体操作，请参见[RAM授权](~~145025~~)。'."\n"
+ .'4. 在线调试（可选）：您可以通过[OpenAPI Explorer](https://next.api.aliyun.com/api/objectdet/2019-12-30/DetectIPCObject?lang=JAVA&sdkStyle=old&params=%7B%22ImageURL%22%3A%22https%3A%2F%2Fviapi-test.oss-cn-shanghai.aliyuncs.com%2Fviapi-3.0domepic%2Fobjectdet%2FDetectIPCObject%2FDetectIPCObject1.jpg%22%7D&tab=DEMO)在线调试能力，查看完整的调用示例代码及SDK依赖信息，也可以下载完整的工程。'."\n"
+ .'5. 开发接入步骤：'."\n"
+ .'- 在[SDK总览](~~145033~~)中选择您要接入使用的SDK语言。'."\n"
+ .'- 在对应语言的SDK文档中找到AI类目为目标检测（objectdet）类目的SDK包进行安装。'."\n"
+ .'- 参考文档中提供的示例代码进行适当修改后调用。'."\n"
+ ."\n"
+ .'6. 示例代码：该能力常用语言的示例代码，请参见[IPC图像目标检测示例代码](~~604396~~)。'."\n"
+ ."\n"
+ .'7. 客户端直接调用：该能力常用的客户端调用方式包括以下几种。'."\n"
+ .'- [Web前端直接调用](~~467779~~)'."\n"
+ .'- [小程序场景下直接调用](~~467780~~)'."\n"
+ .'- [Android端直接调用](~~467781~~)'."\n"
+ .'- [iOS端直接调用](~~467782~~)'."\n"
+ ."\n"
+ .'## 输入限制'."\n"
+ ."\n"
+ .'- 图像格式：JPEG、JPG、PNG、BMP。'."\n"
+ .'- 图像大小：不超过2 MB。'."\n"
+ .'- 图像分辨率：大于20×20像素，小于1024×1024像素。并非越高清准确度越高，推荐值：最大边为640像素。'."\n"
+ .'- URL地址中不能包含中文字符。'."\n"
+ ."\n"
+ .'## 计费说明'."\n"
+ .'关于IPC图像目标检测的计费方式及报价，请参见[计费介绍](~~202484~~)。'."\n"
+ ."\n"
+ .'> 下方调试接口为付费接口，如需免费体验调试请前往[体验中心](https://vision.aliyun.com/experience/detail?&tagName=objectdet&children=DetectIPCObject)。',
+ 'responseParamsDescription' => '## SDK参考'."\n"
+ .'阿里云视觉AI目标检测类目下的IPC图像目标检测能力推荐使用SDK调用，支持多种编程语言，调用时请选择AI类目为目标检测（objectdet）的SDK包，文件参数通过SDK调用可支持本地文件及任意URL，具体可参见[SDK总览](~~145033~~)。'."\n"
+ ."\n"
+ .'## 示例代码'."\n"
+ .'该能力常用语言的示例代码，请参见[IPC图像目标检测示例代码](~~604396~~)。',
+ 'extraInfo' => '## 错误码'."\n"
+ .'关于IPC图像目标检测的错误码，详情请参见[常见错误码](~~146760~~)。'."\n"
+ ."\n"
+ .'## 安全声明'."\n"
+ .'- 请确保上传的图片或文件来源符合相应的法律法规。'."\n"
+ .'- 通过体验调试上传的临时文件有效期为1小时，在24小时后会被系统自动清理删除。',
+ ],
+ 'DetectVideoIPCObject' => [
+ 'summary' => '本文为您介绍目标检测（objectdet）类目下的IPC视频目标检测DetectVideoIPCObject的语法及示例。',
+ 'methods' => [
+ 'post',
+ ],
+ 'schemes' => [
+ 'http',
+ 'https',
+ ],
+ 'security' => [
+ [
+ 'AK' => [],
+ ],
+ ],
+ 'operationType' => 'readAndWrite',
+ 'deprecated' => false,
+ 'systemTags' => [
+ 'operationType' => 'create',
+ ],
+ 'parameters' => [
+ [
+ 'name' => 'VideoURL',
+ 'in' => 'formData',
+ 'schema' => [
+ 'title' => '视频文件URL地址',
+ 'description' => '视频文件URL地址。推荐使用上海地域的OSS链接，对于文件在本地或者非上海地域OSS链接的情况，请参见[文件URL处理](~~155645~~)。',
+ 'type' => 'string',
+ 'required' => true,
+ 'example' => 'http://viapi-test.oss-cn-shanghai.aliyuncs.com/viapi-3.0domepic/objectdet/DetectVideoIPCObject/DetectVideoIPCObject1.mp4',
+ 'isFileTransferUrl' => true,
+ ],
+ ],
+ [
+ 'name' => 'StartTimestamp',
+ 'in' => 'formData',
+ 'schema' => [
+ 'title' => '视频的开始时间戳(秒)，即UTC时间，默认为0',
+ 'description' => '视频实际开始时间的时间戳。例如视频开始时间是2021年8月16日12:00，对应时间戳为1629086400。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'required' => false,
+ 'minimum' => '0',
+ 'example' => '1629086400',
+ ],
+ ],
+ [
+ 'name' => 'CallbackOnlyHasObject',
+ 'in' => 'formData',
+ 'schema' => [
+ 'title' => '是否只有检测到物体才回调',
+ 'description' => '是否回调消息过滤。'."\n"
+ ."\n"
+ .'- true：如果输入的视频中检测到有目标，才会执行回调，否则不执行。'."\n"
+ .'- false: 无论是否检测到有目标，都执行回调。',
+ 'type' => 'boolean',
+ 'required' => false,
+ 'example' => 'true',
+ 'default' => 'false',
+ ],
+ ],
+ ],
+ 'responses' => [
+ 200 => [
+ 'schema' => [
+ 'title' => 'Schema of Response',
+ 'description' => 'Schema of Response',
+ 'type' => 'object',
+ 'properties' => [
+ 'RequestId' => [
+ 'title' => 'JobId',
+ 'description' => '请求ID。',
+ 'type' => 'string',
+ 'example' => '35B11E1B-800C-4598-B5AA-577E3BDBD917',
+ ],
+ 'Message' => [
+ 'description' => '提交异步任务后的提示信息。',
+ 'type' => 'string',
+ 'example' => '该调用为异步调用，任务已提交成功，请以requestId的值作为jobId参数调用同类目下GetAsyncJobResult接口查询任务执行状态和结果。',
+ ],
+ 'Data' => [
+ 'description' => '返回的结果数据内容。该数据需要在异步任务执行成功后，通过调用[GetAsyncJobResult](~~607824~~)接口，对其Result字段进行JSON反序列化之后得到。',
+ 'type' => 'object',
+ 'properties' => [
+ 'Width' => [
+ 'title' => '视频文件的分辨率(像素)',
+ 'description' => '视频宽度分辨率，单位像素。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '1280',
+ ],
+ 'Height' => [
+ 'title' => '视频文件的分辨率(像素)',
+ 'description' => '视频高度分辨率，单位像素。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '720',
+ ],
+ 'Frames' => [
+ 'title' => '视频帧的集合，未检测到目标的帧不列出',
+ 'description' => '视频帧的集合，未检测到目标的帧不列出。',
+ 'type' => 'array',
+ 'items' => [
+ 'description' => '1',
+ 'type' => 'object',
+ 'properties' => [
+ 'Time' => [
+ 'title' => '视频帧时间，startTimestamp+视频帧的相对时间的值，单位毫秒，如果startTimestamp为空，则是相对时间',
+ 'description' => '时间戳，单位秒。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '6124533574',
+ ],
+ 'Elements' => [
+ 'description' => '检测到的目标集合，如果没有目标则为空。',
+ 'type' => 'array',
+ 'items' => [
+ 'description' => '1',
+ 'type' => 'object',
+ 'properties' => [
+ 'Type' => [
+ 'description' => '检测框对应的物体名称。取值如下：'."\n"
+ ."\n"
+ .'- PERSON：人'."\n"
+ .'- VEHICLE：车辆'."\n"
+ .'- PET：宠物',
+ 'type' => 'string',
+ 'example' => 'PERSON',
+ ],
+ 'X' => [
+ 'description' => '左上角X轴坐标，单位像素。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '289',
+ ],
+ 'Y' => [
+ 'description' => '左上角Y轴坐标，单位像素。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '271',
+ ],
+ 'Width' => [
+ 'description' => '检测框宽度，单位像素。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '100',
+ ],
+ 'Height' => [
+ 'description' => '检测框高度，单位像素。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '156',
+ ],
+ 'Score' => [
+ 'description' => '检测框的置信度，取值范围为\\[0.0,1.0]。',
+ 'type' => 'number',
+ 'format' => 'float',
+ 'example' => '0.7812',
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ 'InputFile' => [
+ 'title' => '输入文件信息',
+ 'description' => '输入文件信息。',
+ 'type' => 'string',
+ 'example' => 'oss://viapi-test/viapi-3.0domepic/objectdet/DetectVideoIPCObject/DetectVideoIPCObject4.mp4',
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ 'errorCodes' => [
+ 400 => [
+ [
+ 'errorCode' => 'ParameterError',
+ 'errorMessage' => 'The parameter is invalid. Please check again.',
+ ],
+ ],
+ 403 => [
+ [
+ 'errorCode' => 'AuthFailed',
+ 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.',
+ ],
+ ],
+ 408 => [
+ [
+ 'errorCode' => 'Timeout',
+ 'errorMessage' => 'The request has timed out.',
+ ],
+ ],
+ 503 => [
+ [
+ 'errorCode' => 'ServiceUnavailable',
+ 'errorMessage' => 'The service is unavailable.',
+ ],
+ ],
+ ],
+ 'responseDemo' => '[{"type":"json","example":"{\\n \\"RequestId\\": \\"35B11E1B-800C-4598-B5AA-577E3BDBD917\\",\\n \\"Message\\": \\"该调用为异步调用，任务已提交成功，请以requestId的值作为jobId参数调用同类目下GetAsyncJobResult接口查询任务执行状态和结果。\\",\\n \\"Data\\": {\\n \\"Width\\": 1280,\\n \\"Height\\": 720,\\n \\"Frames\\": [\\n {\\n \\"Time\\": 6124533574,\\n \\"Elements\\": [\\n {\\n \\"Type\\": \\"PERSON\\",\\n \\"X\\": 289,\\n \\"Y\\": 271,\\n \\"Width\\": 100,\\n \\"Height\\": 156,\\n \\"Score\\": 0.7812\\n }\\n ]\\n }\\n ],\\n \\"InputFile\\": \\"oss://viapi-test/viapi-3.0domepic/objectdet/DetectVideoIPCObject/DetectVideoIPCObject4.mp4\\"\\n }\\n}","errorExample":""},{"type":"xml","example":"<DetectVideoIPCObjectResponse>\\n <RequestId>35B11E1B-800C-4598-B5AA-577E3BDBD917</RequestId>\\n <Message>该调用为异步调用，任务已提交成功，请以requestId的值作为jobId参数调用同类目下GetAsyncJobResult接口查询任务执行状态和结果。</Message>\\n</DetectVideoIPCObjectResponse>","errorExample":""}]',
+ 'title' => 'IPC视频目标检测',
+ 'description' => '## 功能描述'."\n"
+ .'IPC视频目标检测能力可以检测到输入视频中的目标物体，例如人、车辆、宠物等。'."\n"
+ ."\n"
+ .'> - 您可以进入[在线咨询](https://www.aliyun.com/core/online-consult?from=aZgW6LJHr2)获取在线人工帮助。'."\n"
+ .'- 当前能力可在视觉智能开放平台有完整的免费产品体验，您可以单击[立即试用](https://vision.aliyun.com/experience/detail?&tagName=objectdet&children=DetectVideoIPCObject)对该能力进行更直观试用以及在线购买。'."\n"
+ .'- 阿里云视觉智能开放平台视觉AI能力API接入、接口使用或问题咨询等，请通过钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+ ."\n"
+ .'## 应用场景'."\n"
+ ."\n"
+ .'- 智能看家：家中有人或宠物移动时可生成高精度视频，实现检测提醒功能。且可以关注宠物在家中的活动状况。'."\n"
+ .'- 智能看店：可对门店起到安防作用，尤其是在夜间，可及时知道有人进店。'."\n"
+ .'- 智能看厂：安全是厂区非常重要的事情，对于人员在岗以及人员入侵可以起到良好的监管作用。'."\n"
+ ."\n"
+ .'## 特色优势'."\n"
+ ."\n"
+ .'- 适用场景多：适应多种广泛的日常场景的目标检测，室内、室外、家居、店铺、商场、白天、夜间等。'."\n"
+ .'- 检测范围广：可检测的目标大小范围广，适用于大目标检测，也适用于较远摄像头下的小目标检测。'."\n"
+ .'- 检测效率高：高并发处理，处理时间短。'."\n"
+ ."\n\n"
+ .'## 接入指引'."\n"
+ .'1. 注册阿里云账号：打开[阿里云官网](https://www.aliyun.com)，在阿里云官网右上角，单击**立即注册**，按照操作提示完成账号注册。'."\n"
+ .'2. 开通能力：请确保您已开通[目标检测服务](https://vision.aliyun.com/objectdet)，若未开通服务请[立即开通](https://common-buy.aliyun.com/?commodityCode=viapi_objectdet_public_cn#/open)。'."\n"
+ .'3. 创建AccessKey：请确保您已[创建AccessKey](~~175144~~)，如果您使用的是子账号AccessKey，您需要给子账号赋予AliyunVIAPIFullAccess权限，具体操作，请参见[RAM授权](~~145025~~)。'."\n"
+ .'4. 在线调试（可选）：您可以通过[OpenAPI Explorer](https://next.api.aliyun.com/api/objectdet/2019-12-30/DetectVideoIPCObject?lang=JAVA&sdkStyle=old&params=%7B%22VideoURL%22%3A%22http%3A%2F%2Fviapi-test.oss-cn-shanghai.aliyuncs.com%2Fviapi-3.0domepic%2Fobjectdet%2FDetectVideoIPCObject%2FDetectVideoIPCObject1.mp4%22%7D&tab=DEMO)在线调试能力，查看完整的调用示例代码及SDK依赖信息，也可以下载完整的工程。'."\n"
+ ."\n"
+ .'5. 开发接入步骤：'."\n"
+ .'- 在[SDK总览](~~145033~~)中选择您要接入使用的SDK语言。'."\n"
+ .'- 在对应语言的SDK文档中找到AI类目为目标检测（objectdet）类目的SDK包进行安装。'."\n"
+ .'- 参考文档中提供的示例代码进行适当修改后调用。'."\n"
+ ."\n"
+ .'6. 示例代码：该能力常用语言查询异步任务结果的示例代码，请参见[查询异步任务结果示例代码](~~607974~~)。'."\n"
+ ."\n"
+ .'7. 客户端直接调用：该能力常用的客户端调用方式包括以下几种。'."\n"
+ .'- [Web前端直接调用](~~467779~~)'."\n"
+ .'- [小程序场景下直接调用](~~467780~~)'."\n"
+ .'- [Android端直接调用](~~467781~~)'."\n"
+ .'- [iOS端直接调用](~~467782~~)'."\n"
+ ."\n"
+ .'## 输入限制'."\n"
+ ."\n"
+ .'- 视频格式：H264、H265。'."\n"
+ .'- 视频分辨率：大于20×20像素，小于4096×4096像素。'."\n"
+ .'- 视频帧率：要求在35帧以内。'."\n"
+ .'- 视频大小：不超过10 MB。'."\n"
+ .'- 视频时长：不超过10秒。'."\n"
+ .'- URL地址中不能包含中文字符。'."\n"
+ ."\n"
+ .'## 计费说明'."\n"
+ .'关于IPC视频目标检测的计费方式及报价，请参见[计费介绍](~~202484~~)。'."\n"
+ ."\n"
+ .'> 下方调试接口为付费接口，如需免费体验调试请前往[体验中心](https://vision.aliyun.com/experience/detail?&tagName=objectdet&children=DetectVideoIPCObject)。'."\n"
+ ."\n"
+ .'## 调用步骤'."\n"
+ .'该能力为异步能力，需分两步进行调用。'."\n"
+ .'第一步调用DetectVideoIPCObject接口提交任务，请求成功后，得到一个任务ID。'."\n"
+ .'第二步调用[GetAsyncJobResult](~~607824~~)接口查询结果，根据任务ID查询任务执行状态和结果。如果任务还在处理中，可稍等一段时间后再进行查询。',
+ 'responseParamsDescription' => '## 查询结果'."\n"
+ .'该接口为异步接口，当前并未返回真实的请求结果，您需要通过返回的RequestId调用GetAsyncJobResult接口来获取该接口的真实请求结果。详情请参见[GetAsyncJobResult](~~607824~~)。'."\n"
+ ."\n"
+ .'## SDK参考'."\n"
+ .'阿里云视觉AI目标检测类目下的IPC视频目标检测能力推荐使用SDK调用，支持多种编程语言，调用时请选择AI类目为目标检测（objectdet）的SDK包，文件参数通过SDK调用可支持本地文件及任意URL，具体可参见[SDK总览](~~145033~~)。'."\n"
+ ."\n"
+ .'## 示例代码'."\n"
+ .'该能力常用语言查询异步任务结果的示例代码，请参见[查询异步任务结果示例代码](~~607974~~)。',
+ 'extraInfo' => '## 错误码'."\n"
+ .'关于IPC视频目标检测的错误码，详情请参见[常见错误码](~~146760~~)。'."\n"
+ ."\n"
+ .'## 安全声明'."\n"
+ .'- 请确保上传的图片或文件来源符合相应的法律法规。'."\n"
+ .'- 通过体验调试上传的临时文件有效期为1小时，在24小时后会被系统自动清理删除。',
+ ],
+ 'DetectWorkwear' => [
+ 'summary' => '本文为您介绍目标检测（objectdet）类目下的着装检测DetectWorkwear的语法及示例。',
+ 'methods' => [
+ 'post',
+ ],
+ 'schemes' => [
+ 'http',
+ 'https',
+ ],
+ 'security' => [
+ [
+ 'AK' => [],
+ ],
+ ],
+ 'deprecated' => false,
+ 'systemTags' => [],
+ 'parameters' => [
+ [
+ 'name' => 'Clothes',
+ 'in' => 'formData',
+ 'style' => 'json',
+ 'schema' => [
+ 'description' => '着装参数设置',
+ 'type' => 'object',
+ 'properties' => [
+ 'MaxNum' => [
+ 'description' => '设定最多识别多少人体。最大值为5。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'required' => false,
+ 'example' => '1',
+ ],
+ 'Threshold' => [
+ 'description' => '设定阈值。取值范围0.0~1.0，数值越大，要求和样本数据相似度越高，默认0.4。',
+ 'type' => 'number',
+ 'format' => 'double',
+ 'required' => false,
+ 'example' => '0.4',
+ ],
+ ],
+ 'required' => false,
+ 'example' => 'AiStore',
+ ],
+ ],
+ [
+ 'name' => 'ImageUrl',
+ 'in' => 'formData',
+ 'schema' => [
+ 'description' => '图像URL地址。推荐使用上海地域的OSS链接，对于文件在本地或者非上海地域OSS链接的情况，请参见[文件URL处理](~~155645~~)。',
+ 'type' => 'string',
+ 'required' => false,
+ 'example' => 'https://viapi-test.oss-cn-shanghai.aliyuncs.com/test-team/zhangchaorun/tiyan/xxxx.jpg',
+ 'isFileTransferUrl' => true,
+ ],
+ ],
+ [
+ 'name' => 'Labels',
+ 'in' => 'formData',
+ 'style' => 'repeatList',
+ 'schema' => [
+ 'type' => 'array',
+ 'items' => [
+ 'description' => '检测的属性，取值如下：'."\n"
+ ."\n"
+ .'- mask：口罩'."\n"
+ .'- hat：帽子'."\n"
+ .'- clothes：衣服'."\n"
+ .'> clothes属性已废弃，检测结果将不再输出clothes（衣服）检测的结果。'."\n",
+ 'type' => 'string',
+ 'required' => false,
+ 'example' => 'hat',
+ ],
+ 'required' => false,
+ 'maxItems' => 3,
+ 'minItems' => 0,
+ ],
+ ],
+ ],
+ 'responses' => [
+ 200 => [
+ 'schema' => [
+ 'title' => 'Schema of Response',
+ 'description' => 'Schema of Response',
+ 'type' => 'object',
+ 'properties' => [
+ 'RequestId' => [
+ 'title' => 'Id of the request',
+ 'description' => '请求ID。',
+ 'type' => 'string',
+ 'example' => '16CA8094-D7BC-51D4-8D55-6AC59AB20E0B',
+ ],
+ 'Data' => [
+ 'description' => '返回的结果数据内容。',
+ 'type' => 'object',
+ 'properties' => [
+ 'Elements' => [
+ 'description' => '检测结果。',
+ 'type' => 'array',
+ 'items' => [
+ 'type' => 'object',
+ 'properties' => [
+ 'Property' => [
+ 'description' => '检测结果属性。仅当**Type**返回0或1时，该字段显示返回结果，否则返回为空。',
+ 'type' => 'array',
+ 'items' => [
+ 'type' => 'object',
+ 'properties' => [
+ 'Label' => [
+ 'description' => '检测的属性。',
+ 'type' => 'string',
+ 'example' => 'hat',
+ ],
+ 'Probability' => [
+ 'description' => '检测概率数据。',
+ 'type' => 'object',
+ 'properties' => [
+ 'No' => [
+ 'description' => '确定未戴口罩、未穿工装、未戴帽子的概率。',
+ 'type' => 'number',
+ 'format' => 'double',
+ 'example' => '0.00036084422',
+ ],
+ 'Threshold' => [
+ 'description' => '系统推荐的阈值。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '0',
+ ],
+ 'Unknown' => [
+ 'description' => '未知概率。',
+ 'type' => 'number',
+ 'format' => 'double',
+ 'example' => '0.0006906331',
+ ],
+ 'Yes' => [
+ 'description' => '确定戴口罩、穿工装、戴帽子的概率。',
+ 'type' => 'number',
+ 'format' => 'double',
+ 'example' => '0.9989485',
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ 'Rectangles' => [
+ 'description' => '检测结果位置信息。',
+ 'type' => 'object',
+ 'properties' => [
+ 'Height' => [
+ 'description' => '高度，单位像素。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '96',
+ ],
+ 'Left' => [
+ 'description' => '左上角Y坐标，单位像素。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '1067',
+ ],
+ 'Top' => [
+ 'description' => '左上角X坐标，单位像素。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '426',
+ ],
+ 'Width' => [
+ 'description' => '宽度，单位像素。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '88',
+ ],
+ ],
+ ],
+ 'Score' => [
+ 'description' => '检测结果概率值。',
+ 'type' => 'number',
+ 'format' => 'double',
+ 'example' => '0.63913465',
+ ],
+ 'Type' => [
+ 'description' => '检测结果类型。取值如下：'."\n"
+ ."\n"
+ .'- 0：人体'."\n"
+ .'- 1：人头'."\n"
+ .'- 2：人脸'."\n"
+ .'- 3：手',
+ 'type' => 'string',
+ 'example' => '1',
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ 'errorCodes' => [
+ 400 => [
+ [
+ 'errorCode' => 'ParameterError',
+ 'errorMessage' => 'The parameter is invalid. Please check again.',
+ ],
+ ],
+ 403 => [
+ [
+ 'errorCode' => 'AuthFailed',
+ 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.',
+ ],
+ ],
+ 408 => [
+ [
+ 'errorCode' => 'Timeout',
+ 'errorMessage' => 'The request has timed out.',
+ ],
+ ],
+ 503 => [
+ [
+ 'errorCode' => 'ServiceUnavailable',
+ 'errorMessage' => 'The service is unavailable.',
+ ],
+ ],
+ ],
+ 'responseDemo' => '[{"type":"json","example":"{\\n \\"RequestId\\": \\"16CA8094-D7BC-51D4-8D55-6AC59AB20E0B\\",\\n \\"Data\\": {\\n \\"Elements\\": [\\n {\\n \\"Property\\": [\\n {\\n \\"Label\\": \\"hat\\",\\n \\"Probability\\": {\\n \\"No\\": 0.00036084422,\\n \\"Threshold\\": 0,\\n \\"Unknown\\": 0.0006906331,\\n \\"Yes\\": 0.9989485\\n }\\n }\\n ],\\n \\"Rectangles\\": {\\n \\"Height\\": 96,\\n \\"Left\\": 1067,\\n \\"Top\\": 426,\\n \\"Width\\": 88\\n },\\n \\"Score\\": 0.63913465,\\n \\"Type\\": \\"1\\"\\n }\\n ]\\n }\\n}","errorExample":""},{"type":"xml","example":"<DetectWorkwearResponse>\\r\\n <RequestId>16CA8094-D7BC-51D4-8D55-6AC59AB20E0B</RequestId>\\r\\n <Data>\\r\\n <Elements>\\r\\n <Property>\\r\\n <Label>hat</Label>\\r\\n <Probability>\\r\\n <No>0.00036084422</No>\\r\\n <Threshold>0</Threshold>\\r\\n <Unknown>0.0006906331</Unknown>\\r\\n <Yes>0.9989485</Yes>\\r\\n </Probability>\\r\\n </Property>\\r\\n <Rectangles>\\r\\n <Height>96</Height>\\r\\n <Left>1067</Left>\\r\\n <Top>426</Top>\\r\\n <Width>88</Width>\\r\\n </Rectangles>\\r\\n <Score>0.63913465</Score>\\r\\n <Type>1</Type>\\r\\n </Elements>\\r\\n </Data>\\r\\n</DetectWorkwearResponse>","errorExample":""}]',
+ 'title' => '着装检测',
+ 'description' => '## 服务说明'."\n"
+ .'由于产品业务调整，着装检测服务于 即日起停止新用户开通调用，历史开通过该服务的老用户可继续调用，2026年04月20日后该服务将下架，不再支持新老用户调用，请尽早寻找替代方案。如果对着装检测 API 服务使用有疑问，可通过搜索钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+ ."\n"
+ .'## 功能描述'."\n"
+ .'着装检测能力基于视觉AI算法、物联网、大数据分析技术，检测指定场景范围内的人员帽子、口罩、工作服等穿戴情况，对不规范穿戴行为进行实时预警。'."\n"
+ ."\n"
+ .'> - 您可以进入[在线咨询](https://www.aliyun.com/core/online-consult?from=aZgW6LJHr2)获取在线人工帮助。'."\n"
+ .'- 阿里云视觉智能开放平台视觉AI能力API接入、接口使用或问题咨询等，请通过钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+ ."\n\n"
+ .'## 应用场景'."\n"
+ .'工作人员规范着装识别：检测餐厅（后厨、前场）、服务大厅、工地、工厂、油田等场景下的工作人员着装（衣服、帽子、口罩等）是否合规，针对不规范行为进行实时预警，并提醒进行相应整改。'."\n"
+ ."\n\n"
+ .'## 特色优势'."\n"
+ ."\n"
+ .'- 识别准确：基于大量场景样本的基础上，对不同环境、光线、角度、目标状态等进行针对性的训练学习，算法模型识别精度高。'."\n"
+ .'- 适应性强：算法模型场景适应性强，可直接用于不同空间布局的场景、各类餐厅后厨及用餐前场。'."\n"
+ .'- 自研算法：通过多端多场景风险发现互通，形成检测、预警、整改、优化全链路闭环，结合数据分析、规则提取实现反哺生产，进而优化模型性能。'."\n"
+ ."\n\n"
+ .'## 输入限制'."\n"
+ ."\n"
+ .'- 图像格式：JPG、JPEG、PNG、BMP。'."\n"
+ .'- 图像大小：不超过2 MB，长宽比建议为16:9。'."\n"
+ .'- 图像分辨率：大于1080×720像素。'."\n"
+ .'- URL地址中不能包含中文字符。'."\n"
+ .'- 推荐的图像和检测目标的分辨率如下表所示。'."\n"
+ .'![](https://viapi-oss.oss-cn-shanghai.aliyuncs.com/doc/objectdet/cloth.png)'."\n"
+ ."\n"
+ .'## 安全声明'."\n"
+ .'- 请确保上传的图片或文件来源符合相应的法律法规。'."\n"
+ .'- 通过体验调试上传的临时文件有效期为1小时，在24小时后会被系统自动清理删除。'."\n"
+ ."\n"
+ .'## 计费说明'."\n"
+ .'关于着装检测的计费方式及报价，请参见[计费介绍](~~202484~~)。'."\n"
+ ."\n"
+ .'> 下方调试接口为付费接口。',
+ 'responseParamsDescription' => '## SDK参考'."\n"
+ .'阿里云视觉AI目标检测类目下的着装检测能力推荐使用SDK调用，支持多种编程语言，调用时请选择AI类目为目标检测（objectdet）的SDK包，文件参数通过SDK调用可支持本地文件及任意URL，具体可参见[SDK总览](~~145033~~)。'."\n"
+ ."\n"
+ .'## 示例代码'."\n"
+ .'该能力常用语言的示例代码，请参见[着装检测示例代码](~~477842~~)。',
+ ],
+ 'DetectKitchenAnimals' => [
+ 'summary' => '本文为您介绍目标检测（objectdet）类目下的猫鼠识别DetectKitchenAnimals的语法及示例。',
+ 'methods' => [
+ 'post',
+ ],
+ 'schemes' => [
+ 'http',
+ 'https',
+ ],
+ 'security' => [
+ [
+ 'AK' => [],
+ ],
+ ],
+ 'deprecated' => false,
+ 'systemTags' => [],
+ 'parameters' => [
+ [
+ 'name' => 'ImageURLA',
+ 'in' => 'formData',
+ 'schema' => [
+ 'description' => '图像A的URL地址。推荐使用上海地域的OSS链接，对于文件在本地或者非上海地域OSS链接的情况，请参见[文件URL处理](~~155645~~)。',
+ 'type' => 'string',
+ 'required' => true,
+ 'example' => 'http://viapi-test.oss-cn-shanghai.aliyuncs.com/viapi-3.0domepic/objectdet/DetectKitchenAnimals/DetectKitchenAnimals-left1.png',
+ 'isFileTransferUrl' => true,
+ ],
+ ],
+ [
+ 'name' => 'ImageURLB',
+ 'in' => 'formData',
+ 'schema' => [
+ 'description' => '图像B的URL地址。推荐使用上海地域的OSS链接，对于文件在本地或者非上海地域OSS链接的情况，请参见[文件URL处理](~~155645~~)。',
+ 'type' => 'string',
+ 'required' => true,
+ 'example' => 'http://viapi-test.oss-cn-shanghai.aliyuncs.com/viapi-3.0domepic/objectdet/DetectKitchenAnimals/DetectKitchenAnimals-right1.png',
+ 'isFileTransferUrl' => true,
+ ],
+ ],
+ ],
+ 'responses' => [
+ 200 => [
+ 'schema' => [
+ 'title' => 'Schema of Response',
+ 'description' => 'Schema of Response',
+ 'type' => 'object',
+ 'properties' => [
+ 'RequestId' => [
+ 'title' => 'Id of the request',
+ 'description' => '请求ID。',
+ 'type' => 'string',
+ 'example' => 'C306F16F-30E1-54F4-93DF-A52CCF6664D1',
+ ],
+ 'Data' => [
+ 'description' => '返回的结果数据内容。',
+ 'type' => 'object',
+ 'properties' => [
+ 'Elements' => [
+ 'description' => '检测结果。',
+ 'type' => 'array',
+ 'items' => [
+ 'type' => 'object',
+ 'properties' => [
+ 'Type' => [
+ 'description' => '检测结果类型。取值如下：'."\n"
+ ."\n"
+ .'- mouse：老鼠'."\n"
+ .'- cat：猫',
+ 'type' => 'string',
+ 'example' => 'mouse',
+ ],
+ 'Score' => [
+ 'description' => '检测结果概率值。',
+ 'type' => 'number',
+ 'format' => 'float',
+ 'example' => '0.75105053',
+ ],
+ 'Rectangles' => [
+ 'description' => '检测目标位置。',
+ 'type' => 'object',
+ 'properties' => [
+ 'Top' => [
+ 'description' => '左上角X坐标，单位像素。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '1048',
+ ],
+ 'Left' => [
+ 'description' => '左上角Y坐标，单位像素。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '292',
+ ],
+ 'Height' => [
+ 'description' => '高度，单位像素。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '64',
+ ],
+ 'Width' => [
+ 'description' => '宽度，单位像素。',
+ 'type' => 'integer',
+ 'format' => 'int64',
+ 'example' => '64',
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ 'errorCodes' => [
+ 400 => [
+ [
+ 'errorCode' => 'ParameterError',
+ 'errorMessage' => 'The parameter is invalid. Please check again.',
+ ],
+ ],
+ 403 => [
+ [
+ 'errorCode' => 'AuthFailed',
+ 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.',
+ ],
+ ],
+ 408 => [
+ [
+ 'errorCode' => 'Timeout',
+ 'errorMessage' => 'The request has timed out.',
+ ],
+ ],
+ 503 => [
+ [
+ 'errorCode' => 'ServiceUnavailable',
+ 'errorMessage' => 'The service is unavailable.',
+ ],
+ ],
+ ],
+ 'responseDemo' => '[{"type":"json","example":"{\\n \\"RequestId\\": \\"C306F16F-30E1-54F4-93DF-A52CCF6664D1\\",\\n \\"Data\\": {\\n \\"Elements\\": [\\n {\\n \\"Type\\": \\"mouse\\",\\n \\"Score\\": 0.75105053,\\n \\"Rectangles\\": {\\n \\"Top\\": 1048,\\n \\"Left\\": 292,\\n \\"Height\\": 64,\\n \\"Width\\": 64\\n }\\n }\\n ]\\n }\\n}","errorExample":""},{"type":"xml","example":"<DetectKitchenAnimalsResponse>\\n <RequestId>C306F16F-30E1-54F4-93DF-A52CCF6664D1</RequestId>\\n <Data>\\n <Elements>\\n <Type>mouse</Type>\\n <Score>0.75105053</Score>\\n <Rectangles>\\n <Left>292</Left>\\n <Top>1048</Top>\\n <Height>64</Height>\\n <Width>64</Width>\\n </Rectangles>\\n </Elements>\\n <Elements>\\n <Type>cat</Type>\\n <Score>0.4602436</Score>\\n <Rectangles>\\n <Left>1344</Left>\\n <Top>208</Top>\\n <Height>112</Height>\\n <Width>164</Width>\\n </Rectangles>\\n </Elements>\\n </Data>\\n</DetectKitchenAnimalsResponse>","errorExample":""}]',
+ 'title' => '猫鼠识别',
+ 'description' => '## 服务说明'."\n"
+ .'由于产品业务调整，猫鼠识别服务于 即日起停止新用户开通调用，历史开通过该服务的老用户可继续调用，2026年04月20日后该服务将下架，不再支持新老用户调用，请尽早寻找替代方案。如果对猫鼠识别 API 服务使用有疑问，可通过搜索钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+ ."\n"
+ .'## 功能描述'."\n"
+ .'猫鼠识别能力基于视觉AI算法、物联网和大数据分析技术，可以检测出场景中是否有猫、老鼠等动物，实现实时预警。'."\n"
+ ."\n"
+ .'> - 您可以进入[在线咨询](https://www.aliyun.com/core/online-consult?from=aZgW6LJHr2)获取在线人工帮助。'."\n"
+ .'- 阿里云视觉智能开放平台视觉AI能力API接入、接口使用或问题咨询等，请通过钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+ ."\n"
+ .'## 应用场景'."\n"
+ .'餐饮后厨或仓库：针对后厨操作间、食材存储仓库等场地，实时检测是否有猫、老鼠等动物，并进行实时预警，提醒工作人员进行相应处理防范。'."\n"
+ ."\n"
+ .'## 特色优势'."\n"
+ ."\n"
+ .'- 识别准确：基于大量场景样本的基础上，对不同环境、光线、角度、目标状态等进行针对性的训练学习，算法模型识别精度高。'."\n"
+ .'- 适应性强：算法模型场景适应性强，可直接用于不同空间布局的场景、各类餐厅后厨及用餐前场。'."\n"
+ .'- 自研算法：通过多端多场景风险发现互通，形成检测、预警、整改、优化全链路闭环，结合数据分析、规则提取实现反哺生产，进而优化模型性能。'."\n"
+ ."\n\n"
+ ."\n"
+ .'## 输入限制'."\n"
+ ."\n"
+ .'- 图像格式：JPG、JPEG、PNG、BMP。'."\n"
+ .'- 图像大小：不超过4 MB，长宽比建议为16:9。'."\n"
+ .'- 图像分辨率：大于1080×720像素。'."\n"
+ .'- 输入的连续图像尺寸需要保持一致。'."\n"
+ .'- 需要采集摄像头视角的图像。'."\n"
+ .'- 图像URL地址中不能包含中文字符。'."\n"
+ .'- 推荐的图像和检测目标的分辨率如下表所示。'."\n"
+ .'![](https://viapi-oss.oss-cn-shanghai.aliyuncs.com/doc/objectdet/cat_mouse.png)'."\n"
+ .'## 安全声明'."\n"
+ .'- 请确保上传的图片或文件来源符合相应的法律法规。'."\n"
+ .'- 通过体验调试上传的临时文件有效期为1小时，在24小时后会被系统自动清理删除。'."\n"
+ .'## 计费说明'."\n"
+ .'关于猫鼠识别的计费方式及报价，请参见[计费介绍](~~202484~~)。'."\n"
+ ."\n"
+ .'> 下方调试接口为付费接口，如需免费体验调试请前往[体验中心](https://vision.aliyun.com/experience/detail?&tagName=objectdet&children=DetectKitchenAnimals)。',
+ 'responseParamsDescription' => '## SDK参考'."\n"
+ .'阿里云视觉AI目标检测类目下的猫鼠识别能力推荐使用SDK调用，支持多种编程语言，调用时请选择AI类目为目标检测（objectdet）的SDK包，文件参数通过SDK调用可支持本地文件及任意URL，具体可参见[SDK总览](~~145033~~)。'."\n"
+ ."\n"
+ .'## 示例代码'."\n"
+ .'该能力常用语言的示例代码，请参见[猫鼠识别示例代码](~~604399~~)。',
+ ],
+ 'GetAsyncJobResult' => [
+ 'summary' => '查询异步任务结果GetAsyncJobResult的语法及示例。',
+ 'methods' => [
+ 'get',
+ 'post',
+ ],
+ 'schemes' => [
+ 'http',
+ 'https',
+ ],
+ 'security' => [
+ [
+ 'AK' => [],
+ ],
+ ],
+ 'operationType' => 'readAndWrite',
+ 'deprecated' => false,
+ 'systemTags' => [],
+ 'parameters' => [
+ [
+ 'name' => 'JobId',
+ 'in' => 'formData',
+ 'schema' => [
+ 'description' => '异步接口返回的RequestId，输入后可以查询异步接口的真实请求结果。',
+ 'type' => 'string',
+ 'required' => true,
+ 'example' => '35B11E1B-800C-4598-B5AA-577E3BDBD917',
+ ],
+ ],
+ ],
+ 'responses' => [
+ 200 => [
+ 'schema' => [
+ 'description' => '1',
+ 'type' => 'object',
+ 'properties' => [
+ 'RequestId' => [
+ 'description' => '请求ID。',
+ 'type' => 'string',
+ 'example' => '87FC80D2-2571-4BBD-BD61-AFF7912C556D',
+ ],
+ 'Data' => [
+ 'description' => '返回的结果数据内容。',
+ 'type' => 'object',
+ 'properties' => [
+ 'Status' => [
+ 'description' => '异步任务状态。包括：'."\n"
+ ."\n"
+ .'- QUEUING：任务排队中'."\n"
+ .'- PROCESSING：异步处理中'."\n"
+ .'- PROCESS_SUCCESS：处理成功'."\n"
+ .'- PROCESS_FAILED：处理失败'."\n"
+ .'- TIMEOUT_FAILED：任务超时未处理完成'."\n"
+ .'- LIMIT_RETRY_FAILED：超过最大重试次数',
+ 'type' => 'string',
+ 'example' => 'PROCESS_SUCCESS',
+ ],
+ 'ErrorMessage' => [
+ 'description' => '异步任务错误码信息。',
+ 'type' => 'string',
+ 'example' => 'paramsIllegal',
+ ],
+ 'Result' => [
+ 'description' => '异步任务返回的真实请求结果。',
+ 'type' => 'string',
+ 'example' => '{\\"inputFile\\":\\"oss://public-vigen-video/guotian.xgt/test_images/test_video\\",\\"width\\":1280,\\"height\\":720,\\"frames\\":[{\\"time\\":6124533574,\\"elements\\":[{\\"type\\":\\"PERSON\\",\\"score\\":0.7812,\\"x\\":289,\\"y\\":271,\\"width\\":100,\\"height\\":156},{\\"type\\":\\"PERSON\\",\\"score\\":0.4377,\\"x\\":917,\\"y\\":267,\\"width\\":34,\\"height\\":51}]}]}]}"}',
+ ],
+ 'ErrorCode' => [
+ 'description' => '异步任务错误码。',
+ 'type' => 'string',
+ 'example' => 'InvalidParameter',
+ ],
+ 'JobId' => [
+ 'description' => '异步任务ID。',
+ 'type' => 'string',
+ 'example' => '35B11E1B-800C-4598-B5AA-577E3BDBD917',
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ ],
+ 'errorCodes' => [
+ 400 => [
+ [
+ 'errorCode' => 'ParameterError',
+ 'errorMessage' => 'The parameter is invalid. Please check again.',
+ ],
+ ],
+ 403 => [
+ [
+ 'errorCode' => 'AuthFailed',
+ 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.',
+ ],
+ ],
+ 408 => [
+ [
+ 'errorCode' => 'Timeout',
+ 'errorMessage' => 'The request has timed out.',
+ ],
+ ],
+ 503 => [
+ [
+ 'errorCode' => 'ServiceUnavailable',
+ 'errorMessage' => 'The service is unavailable.',
+ ],
+ ],
+ ],
+ 'responseDemo' => '[{"type":"json","example":"{\\n \\"RequestId\\": \\"87FC80D2-2571-4BBD-BD61-AFF7912C556D\\",\\n \\"Data\\": {\\n \\"Status\\": \\"PROCESS_SUCCESS\\",\\n \\"ErrorMessage\\": \\"paramsIllegal\\",\\n \\"Result\\": \\"{\\\\\\\\\\\\\\"inputFile\\\\\\\\\\\\\\":\\\\\\\\\\\\\\"oss://public-vigen-video/guotian.xgt/test_images/test_video\\\\\\\\\\\\\\",\\\\\\\\\\\\\\"width\\\\\\\\\\\\\\":1280,\\\\\\\\\\\\\\"height\\\\\\\\\\\\\\":720,\\\\\\\\\\\\\\"frames\\\\\\\\\\\\\\":[{\\\\\\\\\\\\\\"time\\\\\\\\\\\\\\":6124533574,\\\\\\\\\\\\\\"elements\\\\\\\\\\\\\\":[{\\\\\\\\\\\\\\"type\\\\\\\\\\\\\\":\\\\\\\\\\\\\\"PERSON\\\\\\\\\\\\\\",\\\\\\\\\\\\\\"score\\\\\\\\\\\\\\":0.7812,\\\\\\\\\\\\\\"x\\\\\\\\\\\\\\":289,\\\\\\\\\\\\\\"y\\\\\\\\\\\\\\":271,\\\\\\\\\\\\\\"width\\\\\\\\\\\\\\":100,\\\\\\\\\\\\\\"height\\\\\\\\\\\\\\":156},{\\\\\\\\\\\\\\"type\\\\\\\\\\\\\\":\\\\\\\\\\\\\\"PERSON\\\\\\\\\\\\\\",\\\\\\\\\\\\\\"score\\\\\\\\\\\\\\":0.4377,\\\\\\\\\\\\\\"x\\\\\\\\\\\\\\":917,\\\\\\\\\\\\\\"y\\\\\\\\\\\\\\":267,\\\\\\\\\\\\\\"width\\\\\\\\\\\\\\":34,\\\\\\\\\\\\\\"height\\\\\\\\\\\\\\":51}]}]}]}\\\\\\"}\\",\\n \\"ErrorCode\\": \\"InvalidParameter\\",\\n \\"JobId\\": \\"35B11E1B-800C-4598-B5AA-577E3BDBD917\\"\\n }\\n}","errorExample":""},{"type":"xml","example":"<RequestId>87FC80D2-2571-4BBD-BD61-AFF7912C556D</RequestId>\\n<Data>\\n <Status>PROCESS_SUCCESS</Status>\\n <ErrorMessage>paramsIllegal</ErrorMessage>\\n <Result>{\\\\\\"inputFile\\\\\\":\\\\\\"oss://public-vigen-video/guotian.xgt/test_images/test_video\\\\\\",\\\\\\"width\\\\\\":1280,\\\\\\"height\\\\\\":720,\\\\\\"frames\\\\\\":[{\\\\\\"time\\\\\\":6124533574,\\\\\\"elements\\\\\\":[{\\\\\\"type\\\\\\":\\\\\\"PERSON\\\\\\",\\\\\\"score\\\\\\":0.7812,\\\\\\"x\\\\\\":289,\\\\\\"y\\\\\\":271,\\\\\\"width\\\\\\":100,\\\\\\"height\\\\\\":156},{\\\\\\"type\\\\\\":\\\\\\"PERSON\\\\\\",\\\\\\"score\\\\\\":0.4377,\\\\\\"x\\\\\\":917,\\\\\\"y\\\\\\":267,\\\\\\"width\\\\\\":34,\\\\\\"height\\\\\\":51}]}]}]}\\"}</Result>\\n <ErrorCode>InvalidParameter</ErrorCode>\\n <JobId>35B11E1B-800C-4598-B5AA-577E3BDBD917</JobId>\\n</Data>","errorExample":""}]',
+ 'title' => '查询异步任务结果',
+ 'description' => '## 功能描述'."\n"
+ .'针对异步接口，调用API接口后，返回的并不是真正的请求结果，您需要保存返回结果中的RequestId，然后调用GetAsyncJobResult来获取真正的请求结果。'."\n"
+ ."\n"
+ .'> - 异步任务的文件有过期时间，有效期是30分钟。如需长期使用，需及时将文件下载到本地服务器或存储在OSS中。有关OSS更多操作信息，请参见[上传文件](~~31886~~)。'."\n"
+ .'- 阿里云视觉智能开放平台视觉AI能力API接入、接口使用或问题咨询等，请通过钉钉群（23109592）加入阿里云视觉智能开放平台咨询群联系我们。'."\n"
+ ."\n\n"
+ .'当前目标检测类目中IPC视频目标检测（DetectVideoIPCObject）为异步接口，需要调用GetAsyncJobResult来获取真实的请求结果。',
+ 'extraInfo' => '## 错误码'."\n"
+ .'关于查询异步任务结果的错误码，详情请参见[常见错误码](~~146760~~)。'."\n"
+ ."\n"
+ .'## SDK参考'."\n"
+ .'阿里云视觉AI能力支持使用SDK调用，具体可参见[SDK总览](~~145033~~)下载安装。'."\n"
+ ."\n"
+ .'## 安全声明'."\n"
+ .'- 请确保上传的图片或文件来源符合相应的法律法规。'."\n"
+ .'- 通过体验调试上传的临时文件有效期为1小时，在24小时后会被系统自动清理删除。',
+ ],
+ ],
+ 'endpoints' => [
+ [
+ 'regionId' => 'cn-shanghai',
+ 'endpoint' => 'objectdet.cn-shanghai.aliyuncs.com',
+ ],
+ ],
+];
generated by cgit v1.2.3 (git 2.46.0) at 2026-03-07 11:40:59 +0000