'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":"\\n 4FC381BB-04F2-50F4-B54B-593042BCF3C6\\n \\n \\n AOAQQQBA****FRD\\n AEAMQQAA****KRC\\n AEAMQQAA****BhC\\n \\n \\n 1\\n 2\\n 3\\n \\n \\n 0.962890625\\n vehicle\\n 0\\n \\n 341\\n 434\\n 589\\n 576\\n \\n \\n \\n 0.9619140625\\n vehicle\\n 1\\n \\n 304\\n 228\\n 525\\n 440\\n \\n \\n \\n 0.83203125\\n vehicle\\n 2\\n \\n 0\\n 24\\n 68\\n 106\\n \\n \\n \\n 0.53125\\n vehicle\\n 3\\n \\n 0\\n 0\\n 58\\n 38\\n \\n \\n \\n -1\\n -1\\n -1\\n \\n \\n","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¶ms=%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":"\\n DB882EDD-991A-5A0C-A19B-CC7C4BA65E35\\n \\n \\n 1\\n 2\\n 3\\n 4\\n 5\\n 6\\n 7\\n 8\\n 10\\n 11\\n \\n \\n 0.9599609375\\n vehicle\\n 0\\n \\n 413\\n 138\\n 499\\n 268\\n \\n \\n \\n 0.95751953125\\n vehicle\\n 1\\n \\n 146\\n 121\\n 371\\n 284\\n \\n \\n \\n 0.93310546875\\n vehicle\\n 2\\n \\n 54\\n 92\\n 164\\n 213\\n \\n \\n \\n 0.9326171875\\n vehicle\\n 3\\n \\n 94\\n 141\\n 171\\n 232\\n \\n \\n \\n 0.9150390625\\n vehicle\\n 4\\n \\n 303\\n 114\\n 430\\n 195\\n \\n \\n \\n 0.82080078125\\n vehicle\\n 5\\n \\n 14\\n 134\\n 32\\n 154\\n \\n \\n \\n 0.767578125\\n vehicle\\n 6\\n \\n 0\\n 132\\n 17\\n 151\\n \\n \\n \\n 0.767578125\\n vehicle\\n 7\\n \\n 37\\n 133\\n 56\\n 162\\n \\n \\n \\n 0.765625\\n vehicle\\n 8\\n \\n 27\\n 131\\n 55\\n 158\\n \\n \\n \\n 0.75341796875\\n vehicle\\n 9\\n \\n 408\\n 14\\n 499\\n 143\\n \\n \\n \\n 0.517578125\\n vehicle\\n 10\\n \\n 164\\n 130\\n 183\\n 144\\n \\n \\n \\n 0.355712890625\\n vehicle\\n 11\\n \\n 1\\n 133\\n 31\\n 153\\n \\n \\n \\n","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":"\\n 2E59C333-5480-4231-A8AB-BEE1001EA7FE\\n \\n \\n 28\\n 20\\n 320\\n 583\\n \\n \\n","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¶ms=%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":"\\n 7A7F9EEB-44C4-4592-9089-A6185B222B23\\n \\n \\n 0\\n \\n \\n","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¶ms=%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":"\\n 6EF97B44-2763-4EAD-8737-FB9F5EE25FE2\\n \\n 300\\n \\n 0.266\\n chair\\n 468\\n 238\\n 531\\n 299\\n \\n \\n 0.213\\n chair\\n 452\\n 168\\n 531\\n 233\\n \\n \\n 0.308\\n picture/frame\\n 487\\n 44\\n 501\\n 96\\n \\n \\n 0.257\\n picture/frame\\n 477\\n 67\\n 484\\n 98\\n \\n \\n 0.201\\n picture/frame\\n 503\\n 26\\n 524\\n 85\\n \\n \\n 0.515\\n pillow\\n 161\\n 141\\n 181\\n 158\\n \\n \\n 0.293\\n pillow\\n 473\\n 143\\n 496\\n 157\\n \\n \\n 0.214\\n pillow\\n 241\\n 145\\n 253\\n 166\\n \\n \\n 0.374\\n potted plant\\n 449\\n 97\\n 477\\n 140\\n \\n \\n 0.412\\n sofa\\n 145\\n 135\\n 304\\n 202\\n \\n \\n 0.269\\n sofa\\n 443\\n 136\\n 531\\n 190\\n \\n \\n 0.262\\n sofa\\n 301\\n 136\\n 352\\n 168\\n \\n \\n 0.242\\n sofa\\n 452\\n 167\\n 531\\n 230\\n \\n \\n 0.219\\n carpet\\n 0\\n 153\\n 272\\n 293\\n \\n \\n 0.458\\n coffee table\\n 171\\n 172\\n 214\\n 214\\n \\n \\n 0.358\\n coffee table\\n 337\\n 185\\n 420\\n 274\\n \\n \\n 0.285\\n coffee table\\n 386\\n 159\\n 428\\n 192\\n \\n \\n 0.214\\n mirror\\n 503\\n 26\\n 524\\n 85\\n \\n 533\\n \\n","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¶ms=%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":"\\n 7AE23740-A3E5-5607-8E10-895DCBD4C260\\n \\n 1200\\n \\n 0.21299583333333333\\n CAT\\n 0.85107421875\\n 7\\n 665\\n 783\\n 1192\\n \\n \\n 0.8566723958333333\\n DOG\\n 0.7138671875\\n 10\\n 150\\n 1587\\n 1193\\n \\n 1600\\n \\n","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¶ms=%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":"\\n 35B11E1B-800C-4598-B5AA-577E3BDBD917\\n 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","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¶ms=%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":"\\r\\n 16CA8094-D7BC-51D4-8D55-6AC59AB20E0B\\r\\n \\r\\n \\r\\n \\r\\n \\r\\n \\r\\n 0.00036084422\\r\\n 0\\r\\n 0.0006906331\\r\\n 0.9989485\\r\\n \\r\\n \\r\\n \\r\\n 96\\r\\n 1067\\r\\n 426\\r\\n 88\\r\\n \\r\\n 0.63913465\\r\\n 1\\r\\n \\r\\n \\r\\n","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":"\\n C306F16F-30E1-54F4-93DF-A52CCF6664D1\\n \\n \\n mouse\\n 0.75105053\\n \\n 292\\n 1048\\n 64\\n 64\\n \\n \\n \\n cat\\n 0.4602436\\n \\n 1344\\n 208\\n 112\\n 164\\n \\n \\n \\n","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":"87FC80D2-2571-4BBD-BD61-AFF7912C556D\\n\\n PROCESS_SUCCESS\\n paramsIllegal\\n {\\\\\\"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 InvalidParameter\\n 35B11E1B-800C-4598-B5AA-577E3BDBD917\\n","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', ], ], ];