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| author | Zhineng Li <im@zhineng.li> | 2026-07-12 17:11:17 +0800 |
|---|---|---|
| committer | Zhineng Li <im@zhineng.li> | 2026-07-12 17:11:17 +0800 |
| commit | 1c7f908ce09f98fdcbf79ed2a8ae21be60eaa634 (patch) | |
| tree | 5f0857666365b7e40cdaa3733ebe1f3ba9e13c67 /data/zh_cn/objectdet | |
| parent | 7347bac4ab7e136157fc94777e6cf87ef9e08599 (diff) | |
| download | afterglow-metadata-full-1c7f908ce09f98fdcbf79ed2a8ae21be60eaa634.tar.gz afterglow-metadata-full-1c7f908ce09f98fdcbf79ed2a8ae21be60eaa634.zip | |
update APIs 20260712
Diffstat (limited to 'data/zh_cn/objectdet')
| -rw-r--r-- | data/zh_cn/objectdet/2019-12-30/api-docs.php | 2296 |
1 files changed, 742 insertions, 1554 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 index 38b768b..744d592 100644 --- a/data/zh_cn/objectdet/2019-12-30/api-docs.php +++ b/data/zh_cn/objectdet/2019-12-30/api-docs.php @@ -1,214 +1,46 @@ <?php return [ 'version' => '1.0', - 'info' => [ - 'style' => 'RPC', - 'product' => 'objectdet', - 'version' => '2019-12-30', - ], + 'info' => ['style' => 'RPC', 'product' => 'objectdet', 'version' => '2019-12-30'], 'directories' => [ [ - 'id' => 114562, - 'title' => '车辆检测', + 'children' => ['DetectVehicleICongestion'], 'type' => 'directory', - 'children' => [ - 'DetectVehicleICongestion', - 'DetectVehicleIllegalParking', - ], + 'title' => '车辆检测', + 'id' => 357266, ], [ - 'id' => 114557, - 'title' => '通用检测', + 'children' => ['DetectMainBody', 'DetectWhiteBaseImage', 'DetectObject', 'DetectIPCObject', 'DetectVideoIPCObject'], 'type' => 'directory', - 'children' => [ - 'DetectMainBody', - 'DetectWhiteBaseImage', - 'DetectObject', - 'DetectIPCObject', - 'DetectVideoIPCObject', - 'DetectWorkwear', - 'DetectKitchenAnimals', - ], + 'title' => '通用检测', + 'id' => 357258, ], [ - 'id' => 114576, - 'title' => '通用接口', + 'children' => ['GetAsyncJobResult'], 'type' => 'directory', - 'children' => [ - 'GetAsyncJobResult', - ], + 'title' => '通用接口', + 'id' => 357269, ], ], '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', - ], - ], - ], - ], - ], + 'schemas' => [], ], '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', - ], + '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', - ], + '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, - ], + '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' => [ @@ -218,141 +50,36 @@ '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', - ], + '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' => '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。', + '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' => [ - 'Ids' => [ - 'description' => '与各个指定区域相交集的车辆检测框的多个ID。', + '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' => '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]', - ], + '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'], ], ], ], @@ -361,59 +88,52 @@ ], 'errorCodes' => [ 400 => [ - [ - 'errorCode' => 'ParameterError', - 'errorMessage' => 'The parameter is invalid. Please check again.', - ], + ['errorCode' => 'ParameterError', 'errorMessage' => 'The parameter is invalid. Please check again.', 'description' => ''], ], 403 => [ - [ - 'errorCode' => 'AuthFailed', - 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.', - ], + ['errorCode' => 'AuthFailed', 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.', 'description' => ''], ], 408 => [ - [ - 'errorCode' => 'Timeout', - 'errorMessage' => 'The request has timed out.', - ], + ['errorCode' => 'Timeout', 'errorMessage' => 'The request has timed out.', 'description' => ''], ], 503 => [ - [ - 'errorCode' => 'ServiceUnavailable', - 'errorMessage' => 'The service is unavailable.', - ], + ['errorCode' => 'ServiceUnavailable', 'errorMessage' => 'The service is unavailable.', 'description' => ''], ], ], - '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', + '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" - .'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" + .'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=DetectVehicleICongestion)对该能力进行更直观试用以及在线购买。'."\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" - .'- 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" + .'- 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" - .'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" + .'- 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/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" + .'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. 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" + .'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" @@ -422,280 +142,29 @@ .'## 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" + .'- 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" - .'- 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" + .'## 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" - .'## 特色优势'."\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" - .'- 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" + .'## 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" - .'- 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~~)。', + .'- 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。', ], 'DetectMainBody' => [ - 'methods' => [ - 'post', - 'get', - ], - 'schemes' => [ - 'http', - 'https', - ], + 'methods' => ['post', 'get'], + 'schemes' => ['http', 'https'], 'security' => [ [ 'AK' => [], @@ -708,13 +177,7 @@ [ '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, - ], + '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' => [ @@ -722,11 +185,7 @@ 'schema' => [ 'type' => 'object', 'properties' => [ - 'RequestId' => [ - 'description' => '请求ID。', - 'type' => 'string', - 'example' => '2E59C333-5480-4231-A8AB-BEE1001EA7FE', - ], + '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', @@ -735,62 +194,31 @@ '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', - ], + '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'], ], ], ], ], ], + 'description' => '', ], ], ], 'errorCodes' => [ 400 => [ - [ - 'errorCode' => 'ParameterError', - 'errorMessage' => 'The parameter is invalid. Please check again.', - ], + ['errorCode' => 'ParameterError', 'errorMessage' => 'The parameter is invalid. Please check again.', 'description' => ''], ], 403 => [ - [ - 'errorCode' => 'AuthFailed', - 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.', - ], + ['errorCode' => 'AuthFailed', 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.', 'description' => ''], ], 408 => [ - [ - 'errorCode' => 'Timeout', - 'errorMessage' => 'The request has timed out.', - ], + ['errorCode' => 'Timeout', 'errorMessage' => 'The request has timed out.', 'description' => ''], ], 503 => [ - [ - 'errorCode' => 'ServiceUnavailable', - 'errorMessage' => 'The service is unavailable.', - ], + ['errorCode' => 'ServiceUnavailable', 'errorMessage' => 'The service is unavailable.', 'description' => ''], ], ], '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":""}]', @@ -845,158 +273,16 @@ .'## 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' => [], + 'changeSet' => [], + 'flowControl' => [ + 'flowControlList' => [ + ['threshold' => '100', 'countWindow' => 1, 'regionId' => '*', 'api' => 'DetectMainBody'], ], ], - '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¶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', - ], + 'methods' => ['post'], + 'schemes' => ['http', 'https'], 'security' => [ [ 'AK' => [], @@ -1004,20 +290,12 @@ ], 'operationType' => 'read', 'deprecated' => false, - 'systemTags' => [ - 'operationType' => 'create', - ], + '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, - ], + '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' => [ @@ -1025,11 +303,7 @@ 'schema' => [ 'type' => 'object', 'properties' => [ - 'RequestId' => [ - 'description' => '请求ID。', - 'type' => 'string', - 'example' => '6EF97B44-2763-4EAD-8737-FB9F5EE25FE2', - ], + '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', @@ -1040,71 +314,38 @@ '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', - ], + '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', + 'items' => ['description' => '检测框坐标，格式为`[left, top, right, bottom]`。', 'type' => 'integer', 'format' => 'int32', 'example' => '[468, 238, 531, 299]'], + 'description' => '', ], + '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'], ], + 'description' => '', ], ], - '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', - ], + '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'], ], ], ], + 'description' => '', ], ], ], 'errorCodes' => [ 400 => [ - [ - 'errorCode' => 'ParameterError', - 'errorMessage' => 'The parameter is invalid. Please check again.', - ], + ['errorCode' => 'ParameterError', 'errorMessage' => 'The parameter is invalid. Please check again.', 'description' => ''], ], 403 => [ - [ - 'errorCode' => 'AuthFailed', - 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.', - ], + ['errorCode' => 'AuthFailed', 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.', 'description' => ''], ], 408 => [ - [ - 'errorCode' => 'Timeout', - 'errorMessage' => 'The request has timed out.', - ], + ['errorCode' => 'Timeout', 'errorMessage' => 'The request has timed out.', 'description' => ''], ], 503 => [ - [ - 'errorCode' => 'ServiceUnavailable', - 'errorMessage' => 'The service is unavailable.', - ], + ['errorCode' => 'ServiceUnavailable', 'errorMessage' => 'The service is unavailable.', 'description' => ''], ], ], '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":""}]', @@ -1165,36 +406,89 @@ .'## 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', + 'changeSet' => [], + 'flowControl' => [ + 'flowControlList' => [ + ['threshold' => '100', 'countWindow' => 1, 'regionId' => '*', 'api' => 'DetectObject'], + ], ], + ], + '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', - ], + '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' => [ - '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', + '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, + 'description' => '', + ], + 'required' => true, + ], + ], + 'required' => false, + 'description' => '', + ], 'required' => true, - 'example' => 'https://viapi-test.oss-cn-shanghai.aliyuncs.com/objectdet/detect-ipc-xxxx.jpg', - 'isFileTransferUrl' => 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, + 'description' => '', + ], + 'required' => false, ], ], ], @@ -1205,69 +499,90 @@ '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', - ], + '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' => '检测到的目标集合，如果没有目标则为空。', + 'description' => '车辆检测框的集合。', '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。', + 'Boxes' => [ + 'description' => '检测框坐标，格式为`[left, top, right, bottom]`。', '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]', + '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'], + ], + 'description' => '', ], ], - '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', + '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'], + ], + 'description' => '', + ], + ], + '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'], ], ], + 'description' => '', ], ], - 'Width' => [ - 'description' => '图像的宽度，单位像素。', - 'type' => 'integer', - 'format' => 'int64', - 'example' => '1600', + '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]'], + ], + ], + ], ], - 'Height' => [ - 'description' => '图像的高度，单位像素。', - 'type' => 'integer', - 'format' => 'int64', - 'example' => '1200', + '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]'], + ], + ], + ], ], ], ], @@ -1277,64 +592,47 @@ ], 'errorCodes' => [ 400 => [ - [ - 'errorCode' => 'ParameterError', - 'errorMessage' => 'The parameter is invalid. Please check again.', - ], + ['errorCode' => 'ParameterError', 'errorMessage' => 'The parameter is invalid. Please check again.', 'description' => ''], ], 403 => [ - [ - 'errorCode' => 'AuthFailed', - 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.', - ], + ['errorCode' => 'AuthFailed', 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.', 'description' => ''], ], 408 => [ - [ - 'errorCode' => 'Timeout', - 'errorMessage' => 'The request has timed out.', - ], + ['errorCode' => 'Timeout', 'errorMessage' => 'The request has timed out.', 'description' => ''], ], 503 => [ - [ - 'errorCode' => 'ServiceUnavailable', - 'errorMessage' => 'The service is unavailable.', - ], + ['errorCode' => 'ServiceUnavailable', 'errorMessage' => 'The service is unavailable.', 'description' => ''], ], ], - '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', + '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" - .'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" + .'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=DetectIPCObject)对该能力进行更直观试用以及在线购买。'."\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" - .'- 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" + .'- 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" - ."\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" + .'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/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" + .'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. 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" + .'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" @@ -1343,35 +641,32 @@ .'## 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)。', + .'- 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~~)。', + .'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IPC图像目标检测的错误码，详情请参见[常见错误码](~~146760~~)。'."\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。', + 'changeSet' => [ + ['createdAt' => '2022-09-29T08:00:44.000Z', 'description' => '请求参数发生变更'], + ['createdAt' => '2022-09-27T09:40:03.000Z', 'description' => '请求参数发生变更、响应参数发生变更'], + ['createdAt' => '2021-06-21T12:07:07.000Z', 'description' => '请求参数发生变更'], + ], + 'flowControl' => [ + 'flowControlList' => [ + ['threshold' => '100', 'countWindow' => 1, 'regionId' => '*', 'api' => 'DetectVehicleICongestion'], + ], + ], ], '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', - ], + 'methods' => ['post'], + 'schemes' => ['http', 'https'], 'security' => [ [ 'AK' => [], @@ -1379,49 +674,25 @@ ], 'operationType' => 'readAndWrite', 'deprecated' => false, - 'systemTags' => [ - 'operationType' => 'create', - ], + '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, - ], + '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', - ], + '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', - ], + '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' => [ @@ -1431,35 +702,14 @@ '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。', - ], + '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', - ], + '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。', @@ -1468,13 +718,7 @@ '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', - ], + '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', @@ -1482,57 +726,23 @@ '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', - ], + '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', - ], + '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'], ], ], ], @@ -1541,28 +751,16 @@ ], 'errorCodes' => [ 400 => [ - [ - 'errorCode' => 'ParameterError', - 'errorMessage' => 'The parameter is invalid. Please check again.', - ], + ['errorCode' => 'ParameterError', 'errorMessage' => 'The parameter is invalid. Please check again.', 'description' => ''], ], 403 => [ - [ - 'errorCode' => 'AuthFailed', - 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.', - ], + ['errorCode' => 'AuthFailed', 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.', 'description' => ''], ], 408 => [ - [ - 'errorCode' => 'Timeout', - 'errorMessage' => 'The request has timed out.', - ], + ['errorCode' => 'Timeout', 'errorMessage' => 'The request has timed out.', 'description' => ''], ], 503 => [ - [ - 'errorCode' => 'ServiceUnavailable', - 'errorMessage' => 'The service is unavailable.', - ], + ['errorCode' => 'ServiceUnavailable', 'errorMessage' => 'The service is unavailable.', 'description' => ''], ], ], '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":""}]', @@ -1637,472 +835,136 @@ .'## 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.', - ], + 'changeSet' => [], + 'flowControl' => [ + 'flowControlList' => [ + ['threshold' => '500', 'countWindow' => 1, 'regionId' => '*', 'api' => 'DetectVideoIPCObject'], ], ], - '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" - .''."\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', - ], + 'DetectWhiteBaseImage' => [ + 'methods' => ['post'], + 'schemes' => ['http', 'https'], 'security' => [ [ 'AK' => [], ], ], + 'operationType' => 'read', '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', + 'name' => 'ImageURL', '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, - ], + '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' => [ - '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', - ], + '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' => '检测结果。', + 'description' => '返回判断结果。', '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', - ], - ], - ], + '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'], ], + 'description' => '', ], ], ], ], ], + 'description' => '', ], ], ], 'errorCodes' => [ 400 => [ - [ - 'errorCode' => 'ParameterError', - 'errorMessage' => 'The parameter is invalid. Please check again.', - ], + ['errorCode' => 'ParameterError', 'errorMessage' => 'The parameter is invalid. Please check again.', 'description' => ''], ], 403 => [ - [ - 'errorCode' => 'AuthFailed', - 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.', - ], + ['errorCode' => 'AuthFailed', 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.', 'description' => ''], ], 408 => [ - [ - 'errorCode' => 'Timeout', - 'errorMessage' => 'The request has timed out.', - ], + ['errorCode' => 'Timeout', 'errorMessage' => 'The request has timed out.', 'description' => ''], ], 503 => [ - [ - 'errorCode' => 'ServiceUnavailable', - 'errorMessage' => 'The service is unavailable.', - ], + ['errorCode' => 'ServiceUnavailable', 'errorMessage' => 'The service is unavailable.', 'description' => ''], ], ], - '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" + '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¶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" - .'## 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" + .'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" - .'## 特色优势'."\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" - .'- 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" + .'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：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" - .''."\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" - .'关于猫鼠识别的计费方式及报价，请参见[计费介绍](~~202484~~)。'."\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=DetectKitchenAnimals)。', + .'> 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" + .'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[猫鼠识别示例代码](~~604399~~)。', + .'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~~)。', + 'changeSet' => [], + 'flowControl' => [ + 'flowControlList' => [ + ['threshold' => '100', 'countWindow' => 1, 'regionId' => '*', 'api' => 'DetectWhiteBaseImage'], + ], + ], ], 'GetAsyncJobResult' => [ 'summary' => '查询异步任务结果GetAsyncJobResult的语法及示例。', - 'methods' => [ - 'get', - 'post', - ], - 'schemes' => [ - 'http', - 'https', - ], + 'methods' => ['get', 'post'], + 'schemes' => ['http', 'https'], 'security' => [ [ 'AK' => [], @@ -2115,12 +977,7 @@ [ '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', - ], + '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' => [ @@ -2129,47 +986,23 @@ 'description' => '1', 'type' => 'object', 'properties' => [ - 'RequestId' => [ - 'description' => '请求ID。', - 'type' => 'string', - 'example' => '87FC80D2-2571-4BBD-BD61-AFF7912C556D', - ], + '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', - ], + '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'], ], ], ], @@ -2178,28 +1011,16 @@ ], 'errorCodes' => [ 400 => [ - [ - 'errorCode' => 'ParameterError', - 'errorMessage' => 'The parameter is invalid. Please check again.', - ], + ['errorCode' => 'ParameterError', 'errorMessage' => 'The parameter is invalid. Please check again.', 'description' => ''], ], 403 => [ - [ - 'errorCode' => 'AuthFailed', - 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.', - ], + ['errorCode' => 'AuthFailed', 'errorMessage' => 'An error occurred while performing authorization. Please check your RAM configuration.', 'description' => ''], ], 408 => [ - [ - 'errorCode' => 'Timeout', - 'errorMessage' => 'The request has timed out.', - ], + ['errorCode' => 'Timeout', 'errorMessage' => 'The request has timed out.', 'description' => ''], ], 503 => [ - [ - 'errorCode' => 'ServiceUnavailable', - 'errorMessage' => 'The service is unavailable.', - ], + ['errorCode' => 'ServiceUnavailable', 'errorMessage' => 'The service is unavailable.', 'description' => ''], ], ], '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":""}]', @@ -2220,12 +1041,379 @@ .'## 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。', + 'changeSet' => [ + ['createdAt' => '2021-04-08T02:46:22.000Z', 'description' => 'OpenAPI 下线'], + ], + 'flowControl' => [ + 'flowControlList' => [ + ['threshold' => '100', 'countWindow' => 1, 'regionId' => '*', 'api' => 'GetAsyncJobResult'], + ], + ], + 'ramActions' => [ + [ + 'operationType' => '', + 'ramAction' => [ + 'action' => 'viapi-objectdet:GetAsyncJobResult', + 'authLevel' => 'operate', + 'actionConditions' => [], + 'resources' => [ + ['validationType' => 'always', 'product' => 'VisualIntelligenceAPI', 'resourceType' => '全部资源', 'arn' => '*'], + ], + ], + ], + ], ], ], 'endpoints' => [ + ['regionId' => 'cn-shanghai', 'regionName' => '华东2（上海）', 'areaId' => 'asiaPacific', 'areaName' => '亚太', 'public' => 'objectdet.cn-shanghai.aliyuncs.com', 'endpoint' => 'objectdet.cn-shanghai.aliyuncs.com', 'vpc' => 'objectdet-vpc.cn-shanghai.aliyuncs.com'], + ], + 'errorCodes' => [ + ['code' => 'AuthFailed', 'message' => 'An error occurred while performing authorization. Please check your RAM configuration.', 'http_code' => 403, 'description' => '授权失败，请检查RAM权限配置，操作流程可参考https://help.aliyun.com/document_detail/145025.htm。'], + ['code' => 'ClientError.IllegalArgument', 'message' => 'The request parameter has an error.', 'http_code' => 400, 'description' => '请求参数错误，详情查看message信息'], + ['code' => 'Data.Exist', 'message' => 'The data already exists.', 'http_code' => 409, 'description' => '数据已经存在'], + ['code' => 'EntityNotExist.Role', 'message' => '没有Ram权限，请联系主账号给你添加AliyunVIAPIFullAccess权限，操作流程可参考https://help.aliyun.com/document_detail/145025.htm', 'http_code' => 400, 'description' => '没有Ram权限，请联系主账号给你添加AliyunVIAPIFullAccess权限，操作流程可参考https://help.aliyun.com/document_detail/145025.htm'], + ['code' => 'IllegalUrlParameter', 'message' => 'Url不合法，请检查url能否正常打开', 'http_code' => 400, 'description' => 'Url不合法，请检查url能否正常打开 - 非上海OSS图片链接请参考：https://help.aliyun.com/document\\_detail/155645.html '], + ['code' => 'InternalError', 'message' => 'An error occurred to the algorithm service.', 'http_code' => 500, 'description' => '算法服务报错，请稍后重试。如重试后还报错请通过钉钉搜索群号23109592，加入阿里云视觉智能开放平台咨询群，与平台取得联系。 '], + ['code' => 'InternalError.Algo', 'message' => 'An algorithm error occurred.', 'http_code' => 500, 'description' => '算法服务报错，请稍后重试。如重试后还报错请通过钉钉搜索群号23109592，加入阿里云视觉智能开放平台咨询群，与平台取得联系。 '], + ['code' => 'InternalError.Busy', 'message' => 'Server busy.', 'http_code' => 500, 'description' => '后台服务忙，请稍后重试。如重试后还报错请通过钉钉搜索群号23109592，加入阿里云视觉智能开放平台咨询群，与平台取得联系。'], + ['code' => 'InternalError.Convert', 'message' => 'Failed to convert input parameters.', 'http_code' => 500, 'description' => '输入参数转换失败。'], + ['code' => 'InternalError.Decode', 'message' => 'Failed to decode the image.', 'http_code' => 500, 'description' => '图像解码失败，请通过钉钉搜索群号23109592，加入阿里云视觉智能开放平台咨询群，与平台取得联系。'], + ['code' => 'InternalError.Env', 'message' => 'Failed to initilize the environment.', 'http_code' => 500, 'description' => '初始化环境失败。请稍后重试。如重试后还报错请通过钉钉搜索群号23109592，加入阿里云视觉智能开放平台咨询群，与平台取得联系。'], + ['code' => 'InternalError.Mapping', 'message' => 'An algorithm error occurred.', 'http_code' => 500, 'description' => '内部算法处理错误'], + ['code' => 'InternalError.Model', 'message' => 'Failed to load the model.', 'http_code' => 500, 'description' => '模型加载错误，请通过钉钉搜索群号23109592，加入阿里云视觉智能开放平台咨询群，与平台取得联系。'], + ['code' => 'InternalError.Process', 'message' => 'An error occurred during inference.', 'http_code' => 500, 'description' => '推理过程异常，请通过钉钉搜索群号23109592，加入阿里云视觉智能开放平台咨询群，与平台取得联系。'], + ['code' => 'InternalError.Remote', 'message' => 'The request processing has failed due to some unknown error.', 'http_code' => 500, 'description' => '远程服务不可用，请稍后重试。如重试后还报错请通过钉钉搜索群号23109592，加入阿里云视觉智能开放平台咨询群，与平台取得联系。'], + ['code' => 'InternalError.Server', 'message' => 'The request processing has failed due to some unknown error.', 'http_code' => 500, 'description' => '系统内部错误，请稍后重试。如重试后还报错请通过钉钉搜索群号23109592，加入阿里云视觉智能开放平台咨询群，与平台取得联系。'], + ['code' => 'InternalError.Timeout', 'message' => 'The request has timed out.', 'http_code' => 500, 'description' => '算法服务报错，请稍后重试。如重试后还报错请通过钉钉搜索群号23109592，加入阿里云视觉智能开放平台咨询群，与平台取得联系。 '], + ['code' => 'InternalError.Transfer', 'message' => 'Failed to download or upload data. Procedure', 'http_code' => 500, 'description' => '下载或上传数据失败。'], + ['code' => 'InternalServerError', 'message' => 'A server error occurred while processing your request.', 'http_code' => 500, 'description' => '系统内部错误，请稍后重试。如重试后还报错请通过钉钉搜索群号23109592，加入阿里云视觉智能开放平台咨询群，与平台取得联系。'], + ['code' => 'InvalidAccessKeyId.Inactive', 'message' => 'AccessKeyId非法，请检查AccessKeyId是否被禁用，或者AccessKeyId和AccessKeySecret是否填写正确。', 'http_code' => 400, 'description' => 'AccessKeyId非法，请检查AccessKeyId是否被禁用，或者AccessKeyId和AccessKeySecret是否填写正确。请参考文档：https://help.aliyun.com/document\\_detail/175144.html，进入控制台，将对应的AccessKey启用。 '], + ['code' => 'InvalidAccessKeyId.NotFound', 'message' => 'AccessKeyId未找到，请检查AccessKeyId和AccessKeySecret是否填写正确。', 'http_code' => 400, 'description' => 'AccessKeyId未找到，请检查AccessKeyId和AccessKeySecret是否填写正确。请参考文档：https://help.aliyun.com/document\\_detail/175144.html，进入控制台，找到对应的AccessKeyId和AccessKeySecret。如果AccessKeySecret未保存，主账号可以通过查看Secret找回，子账号无法找回，可以新建一个AccessKey。 '], + ['code' => 'InvalidAccessKeySecret', 'message' => 'AccessKeyId或AccessKeySecret填写错误，请检查AccessKeyId和AccessKeySecret是否填写正确。', 'http_code' => 400, 'description' => 'AccessKeyId或AccessKeySecret填写错误，请检查AccessKeyId和AccessKeySecret是否填写正确。请参考文档：https://help.aliyun.com/document\\_detail/175144.html，进入控制台，找到对应的AccessKeyId和AccessKeySecret。如果AccessKeySecret未保存，主账号可以通过查看Secret找回，子账号无法找回，可以新建一个AccessKey。 '], + ['code' => 'InvalidAction.NotFound', 'message' => '能力未找到，请检查类目与能力是否匹配，检查访问域名与能力是否匹配，关于访问域名可参考：https://help.aliyun.com/document_detail/143103.htm。SDK接入请参考：https://help.aliyun.com/document_detail/145033.html，选择合适编程语言根据实例代码作相关修改进行接入。', 'http_code' => 400, 'description' => '能力未找到，请检查类目与能力是否匹配，检查访问域名与能力是否匹配，关于访问域名可参考：https://help.aliyun.com/document_detail/143103.htm。SDK接入请参考：https://help.aliyun.com/document_detail/145033.html，选择合适编程语言根据实例代码作相关修改进行接入。'], + ['code' => 'InvalidApi.ForbiddenInvoke', 'message' => '调用受限，请检查您调用的能力是否为受限能力，受限能力需要在控制台https://vision.console.aliyun.com/找到相应能力申请经过审批之后才能调用。如非上述情况，请检查账号是否欠费', 'http_code' => 400, 'description' => '调用受限，请检查您调用的能力是否为受限能力，受限能力需要在控制台https://vision.console.aliyun.com/找到相应能力申请经过审批之后才能调用。如非上述情况，请检查账号是否欠费'], + ['code' => 'InvalidApi.NotPurchase', 'message' => '产品未开通，请开通产品：https://common-buy.aliyun.com/?commodityCode=viapi_objectdet_public_cn#/open', 'http_code' => 400, 'description' => '产品未开通，请开通产品：https://common-buy.aliyun.com/?commodityCode=viapi_objectdet_public_cn#/open'], + ['code' => 'InvalidApi.OutOfService', 'message' => '产品未开通，请开通产品：https://common-buy.aliyun.com/?commodityCode=viapi_objectdet_public_cn#/open', 'http_code' => 400, 'description' => '产品未开通，请开通产品：https://common-buy.aliyun.com/?commodityCode=viapi_objectdet_public_cn#/open'], + ['code' => 'InvalidFile.Content', 'message' => 'The content format of the image or video is invalid.', 'http_code' => 400, 'description' => '请参考算法文档检查文件内容，更换包含符合算法要求的 '], + ['code' => 'InvalidFile.Decode', 'message' => 'Failed to decode the file.', 'http_code' => 400, 'description' => '请检查文件是否能够正常打开 '], + ['code' => 'InvalidFile.Download', 'message' => 'Failed to download the file.', 'http_code' => 400, 'description' => '文件无法下载，请检查链接是否可访问和本地网络情况 - 非上海OSS图片链接请参考：https://help.aliyun.com/document\\_detail/155645.html。请检查OSS链接是否过期等。 '], + ['code' => 'InvalidFile.Region', 'message' => 'The URL format of the file is invalid.', 'http_code' => 400, 'description' => '文件链接地域不对，非上海OSS文件链接请参考：https://help.aliyun.com/document\\_detail/155645.html '], + ['code' => 'InvalidFile.Resolution', 'message' => 'The resolution of the image or video is invalid.', 'http_code' => 400, 'description' => '文件分辨率超出限制，请检查文件分辨率和内容，修改文件分辨率后重试 '], + ['code' => 'InvalidFile.Type', 'message' => 'The file type of the image or video is invalid.', 'http_code' => 400, 'description' => '文件类型错误，请检查文件类型 - 请参考算法API文档，使用算法支持的文件类型。阿里云视觉智能开放平台能够读取文件并获取真实的文件类型，不是通过文件后缀名进行类型判断，只看文件后缀名是无效的，关于更多文件类型判断和处理信息可参考：https://help.aliyun.com/document_detail/470250.html'], + ['code' => 'InvalidFile.Unsafe', 'message' => 'Risky file URL.', 'http_code' => 400, 'description' => '不安全的文件链接，请确保上传的图片或文件来源符合相应的法律法规。'], + ['code' => 'InvalidFile.URL', 'message' => 'The URL format of the file is invalid.', 'http_code' => 400, 'description' => '文件无法下载，请检查链接是否可访问和本地网络情况 - 非上海OSS图片链接请参考：https://help.aliyun.com/document\\_detail/155645.html。请检查OSS链接是否过期等。 '], + ['code' => 'InvalidImage.Content', 'message' => '请参考算法文档检查图片内容，更换包含符合算法要求的', 'http_code' => 400, 'description' => '请参考算法文档检查图片内容，更换包含符合算法要求的'], + ['code' => 'InvalidImage.Decode', 'message' => 'The content format of the image or video is invalid.', 'http_code' => 400, 'description' => '请检查图片是否能够正常打开 '], + ['code' => 'InvalidImage.Download', 'message' => 'Failed to download the file.', 'http_code' => 400, 'description' => '图片无法下载，请检查链接是否可访问和本地网络情况 - 非上海OSS图片链接请参考：https://help.aliyun.com/document\\_detail/155645.html。URL中不支持空格和中文字符，如包含请通过urlEncode编码之后再传入。请检查OSS链接是否过期等。 '], + ['code' => 'InvalidImage.NotFound', 'message' => 'The image file is not found in the parameter.', 'http_code' => 404, 'description' => '参数中的图片文件不存在'], + ['code' => 'InvalidImage.NotFoundFace', 'message' => 'No face is detected in the specified image.', 'http_code' => 404, 'description' => '图像中没找到人脸，请检查您的图像中是否包含人脸或人脸太小 '], + ['code' => 'InvalidImage.Region', 'message' => 'The URL format of the file is invalid.', 'http_code' => 400, 'description' => '图片链接地域不对，非上海OSS图片链接请参考：https://help.aliyun.com/document\\_detail/155645.html\\\\ '], + ['code' => 'InvalidImage.Resolution', 'message' => 'The resolution of the image or video is invalid.', 'http_code' => 400, 'description' => '文件分辨率超出限制，请检查文件分辨率和内容，修改文件分辨率后重试 '], + ['code' => 'InvalidImage.Timeout', 'message' => 'Failed to download the file due to timeout.', 'http_code' => 400, 'description' => '图片下载超时，请检查链接是否可访问和本地网络情况 - 非上海OSS图片链接请参考：https://help.aliyun.com/document\\_detail/155645.html。请检查OSS链接是否过期等。 '], + ['code' => 'InvalidImage.Type', 'message' => '图片类型错误，请检查图片类型 - 请参考算法API文档，使用算法支持的图片类型', 'http_code' => 400, 'description' => '图片类型错误，请检查图片类型 - 请参考算法API文档，使用算法支持的图片类型'], + ['code' => 'InvalidImage.Unsafe', 'message' => 'Risky file URL.', 'http_code' => 400, 'description' => 'URL不安全。请确保上传的图片或文件来源符合相应的法律法规。'], + ['code' => 'InvalidImage.URL', 'message' => 'The URL format of the file is invalid or URL access has failed.', 'http_code' => 400, 'description' => '图片链接非法，请检查图片链接是否可访问 - 非上海OSS图片链接请参考：https://help.aliyun.com/document\\_detail/155645.html。对于上海oss链接请使用标准的oss域名，目前暂不支持绑定cdn域名和自定义域名。 '], + ['code' => 'InvalidImage.URL', 'message' => 'The URL format of the file is invalid.', 'http_code' => 400, 'description' => '图片链接非法，请检查图片链接是否可访问 - 非上海OSS图片链接请参考：https://help.aliyun.com/document\\_detail/155645.html。对于上海oss链接请使用标准的oss域名，目前暂不支持绑定cdn域名和自定义域名。 '], + ['code' => 'InvalidImageType', 'message' => 'Invalid image type.', 'http_code' => 400, 'description' => '无效的图片类型。请参考调用能力的文档输入文档中支持的图片类型。'], + ['code' => 'InvalidParameter', 'message' => 'Invalid parameter value.', 'http_code' => 400, 'description' => '参数错误，请根据算法API文档和报错Message检查参数值。是否参数值前后多了空格或者其他特殊字符等。 '], + ['code' => 'InvalidParameter.BadRequest', 'message' => 'The request parameter or the data has an error.', 'http_code' => 400, 'description' => '参数错误，请根据算法API文档和报错Message检查参数值。是否参数值前后多了空格或者其他特殊字符等。 '], + ['code' => 'InvalidParameter.NotFound', 'message' => 'The requested data is not found.', 'http_code' => 400, 'description' => '参数错误，请根据算法API文档和报错Message检查参数值。是否参数值前后多了空格或者其他特殊字符等。 '], + ['code' => 'InvalidParameter.TooLarge', 'message' => 'The file size exceeds the limit.', 'http_code' => 400, 'description' => '参数错误，文件大小超出限制，请参考算法API文档调整文件大小 '], + ['code' => 'InvalidParameter.Type', 'message' => 'The data format of the request parameter is invalid.', 'http_code' => 400, 'description' => '请求参数的数据格式错误'], + ['code' => 'InvalidParameter.Unsuitable', 'message' => 'The data is empty or not suitable for processing.', 'http_code' => 400, 'description' => '数据为空或不适合被处理。'], + ['code' => 'InvalidParamter.Type', 'message' => 'The data format of the request parameter is invalid.', 'http_code' => 400, 'description' => '请求参数的数据格式错误'], + ['code' => 'InvalidRamRole', 'message' => '没有Ram权限，请联系主账号给你添加AliyunVIAPIFullAccess权限，操作流程可参考https://help.aliyun.com/document_detail/145025.htm', 'http_code' => 400, 'description' => '没有Ram权限，请联系主账号给你添加AliyunVIAPIFullAccess权限，操作流程可参考https://help.aliyun.com/document_detail/145025.htm'], + ['code' => 'InvalidResult', 'message' => '参数错误，请参考文档检查参数值，检查文件内容。请检查是否图片内容不完整或者太模糊等。', 'http_code' => 400, 'description' => '参数错误，请参考文档检查参数值，检查文件内容。请检查是否图片内容不完整或者太模糊等。'], + ['code' => 'InvalidSide', 'message' => 'Specified parameter Side is not valid. 请参考文档填写正确的Side参数', 'http_code' => 400, 'description' => 'Specified parameter Side is not valid. 请参考文档填写正确的Side参数'], + ['code' => 'InvalidTimeStamp.Expired', 'message' => '时间戳过期，请更新时间戳', 'http_code' => 400, 'description' => '时间戳过期，请更新时间戳。可以参考https://help.aliyun.com/document\\_detail/144904.html文档计算请求签名。如果您的语言比较常用，推荐使用SDK进行调用，详情可参考：https://help.aliyun.com/document\\_detail/145033.html '], + ['code' => 'InvalidVersion', 'message' => 'Specified parameter Version is not valid', 'http_code' => 400, 'description' => '版本未找到，请检查SDK版本是否匹配，检查版本与类目和能力是否匹配，关于SDK版本可参考：https://help.aliyun.com/document_detail/145033.html'], + ['code' => 'MissingAccessKeyId', 'message' => 'AccessKeyId未填写，请检查AccessKeyId和AccessKeySecret是否填写正确。', 'http_code' => 400, 'description' => 'AccessKeyId未填写，请检查AccessKeyId和AccessKeySecret是否填写正确。请参考文档：https://help.aliyun.com/document\\_detail/175144.html，进入控制台，找到对应的AccessKeyId和AccessKeySecret。如果AccessKeySecret未保存，主账号可以通过查看Secret找回，子账号无法找回，可以新建一个AccessKey。 '], + ['code' => 'MissingFileURL', 'message' => 'FileURL is required for this operation.', 'http_code' => 400, 'description' => '缺少文件参数FileURL，该参数为文件URL地址，文件输入推荐使用华东2（上海）区域的OSS链接-非上海OSS文件链接请参考：'."\n" + .'https://help.aliyun.com/document_detail/155645.html'], + ['code' => 'MissingImageURL', 'message' => 'ImageURL is required for this operation.', 'http_code' => 400, 'description' => '缺少图像参数ImageURL，该参数为图片URL地址，文件输入推荐使用华东2（上海）区域的OSS链接-非上海OSS文件链接请参考：'."\n" + .'https://help.aliyun.com/document_detail/155645.html'], + ['code' => 'MissingLimit', 'message' => 'Limit is required for this operation', 'http_code' => 400, 'description' => '缺少Limit参数，该参数是接口必填参数。推荐使用对应类目的SDK进行调用：https://help.aliyun.com/document_detail/145033.html'], + ['code' => 'MissingParameter', 'message' => 'A required parameter is not specified.', 'http_code' => 400, 'description' => '参数缺失，请参考文档检查参数值。'], + ['code' => 'MissingTasks', 'message' => 'Tasks is required for this operation.', 'http_code' => 400, 'description' => '缺少Tasks参数，该参数是接口必填参数。推荐使用对应类目的SDK进行调用：https://help.aliyun.com/document_detail/145033.html'], + ['code' => 'ParameterError', 'message' => 'The parameter is invalid. Please check again.', 'http_code' => 400, 'description' => '参数错误，请检查参数值。'], + ['code' => 'QuotaExceeded.DbCount', 'message' => 'The number of database exceeds the limit.', 'http_code' => 400, 'description' => '数据库数量超出限制'], + ['code' => 'QuotaExceeded.FaceGroupCount', 'message' => 'The number of database exceeds the limit.', 'http_code' => 400, 'description' => '数据库数量超出限制'], + ['code' => 'QuotaExceeded.FaceImageCount', 'message' => 'The number of image or trace exceeds the limit.', 'http_code' => 400, 'description' => '人脸、Trace数量超出限制，请根据文档中的限制检查，如需调整限制，请通过钉钉群（23109592）联系我们。'], + ['code' => 'QuotaExceeded.ImageCount', 'message' => 'The number of image or trace exceeds the limit.', 'http_code' => 400, 'description' => '人脸、Trace数量超出限制，请根据文档中的限制检查，如需调整限制，请通过钉钉群（23109592）联系我们。'], + ['code' => 'Retry', 'message' => 'An error occurred due to jitter. Please try again.', 'http_code' => 449, 'description' => '由于网络抖动等偶发原因导致失败，需要重试'], + ['code' => 'SDK.ServerUnreachable', 'message' => 'An SDK client error occurred.', 'http_code' => 400, 'description' => 'SDK端错误'], + ['code' => 'ServiceUnavailable', 'message' => 'The service is unavailable.', 'http_code' => 503, 'description' => '服务不可用，请稍后重试。如重试后还报错请通过钉钉搜索群号23109592，加入阿里云视觉智能开放平台咨询群，与平台取得联系。'], + ['code' => 'ServiceUnavailable', 'message' => 'A network error occurred.', 'http_code' => 500, 'description' => '算法服务报错，请稍后重试。如重试后还报错请通过钉钉搜索群号23109592，加入阿里云视觉智能开放平台咨询群，与平台取得联系。 '], + ['code' => 'SignatureDoesNotMatch', 'message' => '签名不正确，请重新计算签名。关于签名可参考文档：https://help.aliyun.com/document_detail/144904.html', 'http_code' => 400, 'description' => '签名不正确，请重新计算签名。可以参考https://help.aliyun.com/document\\_detail/144904.html文档计算请求签名。如果您的语言比较常用，推荐使用SDK进行调用，详情可参考：https://help.aliyun.com/document\\_detail/145033.html '], + ['code' => 'SignatureNonceUsed', 'message' => '签名已经被使用过，请重新计算签名。关于签名可参考文档：https://help.aliyun.com/document_detail/144904.html', 'http_code' => 400, 'description' => '签名已经被使用过，请重新计算签名。可以参考https://help.aliyun.com/document\\_detail/144904.html文档计算请求签名。如果您的语言比较常用，推荐使用SDK进行调用，详情可参考：https://help.aliyun.com/document\\_detail/145033.html '], + ['code' => 'Throttling', 'message' => 'The request was denied due to QPS limits.', 'http_code' => 400, 'description' => '调用被限流，请稍后再调用，或者购买QPS提升调用限制。关于QPS限制提升流程和处理请参考：https://help.aliyun.com/document_detail/604963.html。如果因业务需求需要更多QPS可通过钉钉搜索群号23109592，加入阿里云视觉智能开放平台咨询群与平台取得联系。'], + ['code' => 'Throttling.User', 'message' => 'The request was denied due to QPS limits.', 'http_code' => 400, 'description' => '调用被限流，请稍后再调用，或者购买QPS提升调用限制。关于QPS限制提升流程和处理请参考：https://help.aliyun.com/document_detail/604963.html。如果因业务需求需要更多QPS可通过钉钉搜索群号23109592，加入阿里云视觉智能开放平台咨询群与平台取得联系。'], + ['code' => 'Timeout', 'message' => 'The request has timed out.', 'http_code' => 408, 'description' => '请求超时，请稍后重试。如重试后还报错请通过钉钉搜索群号23109592，加入阿里云视觉智能开放平台咨询群，与平台取得联系。'], + ['code' => 'Unauthorized', 'message' => 'RAM authentication failed.', 'http_code' => 403, 'description' => '没有Ram权限，请联系主账号给你添加AliyunVIAPIFullAccess权限，操作流程可参考https://help.aliyun.com/document\\_detail/145025.htm '], + ['code' => 'UnsupportedHTTPMethod', 'message' => 'The HTTP request method is not supported.', 'http_code' => 403, 'description' => 'HTTP请求方法不支持。建议查看各个产品的API调用方式文档。'], + ], + 'changeSet' => [ + [ + 'apis' => [ + ['description' => '错误码发生变更', 'api' => 'DetectMainBody'], + ['description' => '错误码发生变更', 'api' => 'DetectTransparentImage'], + ['description' => '错误码发生变更', 'api' => 'GenerateVehicleRepairPlan'], + ], + 'createdAt' => '2022-11-07T01:42:01.000Z', + 'description' => '调整用户和API调用频率', + ], + [ + 'apis' => [ + ['description' => '响应参数发生变更', 'api' => 'DetectVideoIPCObject'], + ], + 'createdAt' => '2022-10-17T02:03:42.000Z', + 'description' => '修改异步任务Message为可见', + ], + [ + 'apis' => [ + ['description' => '请求参数发生变更', 'api' => 'DetectIPCObject'], + ['description' => '请求参数发生变更', 'api' => 'DetectKitchenAnimals'], + ['description' => '请求参数发生变更', 'api' => 'DetectVehicleICongestion'], + ['description' => '请求参数发生变更', 'api' => 'DetectVehicleIllegalParking'], + ['description' => '请求参数发生变更', 'api' => 'GetVehicleRepairPlan'], + ], + 'createdAt' => '2022-09-29T08:00:52.000Z', + 'description' => '多url参数支持本地文件上传', + ], + [ + 'apis' => [ + ['description' => '响应参数发生变更', 'api' => 'DetectKitchenAnimals'], + ['description' => '请求参数发生变更、响应参数发生变更', 'api' => 'DetectVehicleICongestion'], + ['description' => '请求参数发生变更、响应参数发生变更', 'api' => 'DetectVehicleIllegalParking'], + ['description' => '响应参数发生变更', 'api' => 'DetectVideoIPCObject'], + ], + 'createdAt' => '2022-09-27T09:40:15.000Z', + 'description' => '修改obj为可见', + ], [ - 'regionId' => 'cn-shanghai', - 'endpoint' => 'objectdet.cn-shanghai.aliyuncs.com', + 'apis' => [ + ['description' => '错误码发生变更', 'api' => 'ClassifyVehicleInsurance'], + ['description' => '错误码发生变更', 'api' => 'DetectVehicle'], + ['description' => '错误码发生变更', 'api' => 'GetVehicleRepairPlan'], + ['description' => '错误码发生变更', 'api' => 'RecognizeVehicleDamage'], + ['description' => '错误码发生变更', 'api' => 'RecognizeVehicleDashboard'], + ['description' => '错误码发生变更', 'api' => 'RecognizeVehicleParts'], + ], + 'createdAt' => '2022-03-30T09:08:25.000Z', + 'description' => '调整用户调用频率', + ], + [ + 'apis' => [ + ['description' => '请求参数发生变更', 'api' => 'DetectWorkwear'], + ], + 'createdAt' => '2022-01-13T09:01:19.000Z', + 'description' => '修改参数属性', + ], + [ + 'apis' => [ + ['description' => 'OpenAPI 下线', 'api' => 'DetectKitchenAnimals'], + ['description' => 'OpenAPI 下线', 'api' => 'DetectWorkwear'], + ], + 'createdAt' => '2021-10-29T08:17:36.000Z', + 'description' => '新增猫鼠检测、着装检测pop', + ], + [ + 'apis' => [ + ['description' => '请求参数发生变更', 'api' => 'DetectVehicleICongestion'], + ['description' => '请求参数发生变更', 'api' => 'DetectVehicleIllegalParking'], + ], + 'createdAt' => '2021-06-21T12:08:40.000Z', + 'description' => '新增可选入参 streamArn ', + ], + [ + 'apis' => [ + ['description' => 'OpenAPI 下线', 'api' => 'DetectVideoFrame'], + ], + 'createdAt' => '2021-05-27T08:51:58.000Z', + 'description' => '新增API: 视频帧回调API，用来检测视频流中的目标等', + ], + [ + 'apis' => [ + ['description' => '请求参数发生变更', 'api' => 'DetectVideoIPCObject'], + ], + 'createdAt' => '2021-04-25T07:55:19.000Z', + 'description' => '新增参数CallbackOnlyHasObject', + ], + [ + 'apis' => [ + ['description' => '请求参数发生变更', 'api' => 'DetectVideoIPCObject'], + ], + 'createdAt' => '2021-04-15T02:17:20.000Z', + 'description' => '新增入参StartTimestamp', + ], + [ + 'apis' => [ + ['description' => '响应参数发生变更', 'api' => 'DetectVideoIPCObject'], + ], + 'createdAt' => '2021-04-08T11:34:47.000Z', + 'description' => '新增输出字段inputFile', + ], + [ + 'apis' => [ + ['description' => 'OpenAPI 下线', 'api' => 'DetectVideoIPCObject'], + ['description' => 'OpenAPI 下线', 'api' => 'GetAsyncJobResult'], + ], + 'createdAt' => '2021-04-08T05:59:01.000Z', + 'description' => '新增API: DetectIPCObject', + ], + ], + 'flowControl' => [ + 'flowControlList' => [ + ['threshold' => '100', 'countWindow' => 1, 'regionId' => '*', 'api' => 'GetAsyncJobResult'], + ['threshold' => '100', 'countWindow' => 1, 'regionId' => '*', 'api' => 'DetectMainBody'], + ['threshold' => '100', 'countWindow' => 1, 'regionId' => '*', 'api' => 'DetectVehicleICongestion'], + ['threshold' => '100', 'countWindow' => 1, 'regionId' => '*', 'api' => 'DetectVehicleIllegalParking'], + ['threshold' => '2000', 'countWindow' => 1, 'regionId' => '*', 'api' => 'DetectIPCObject'], + ['threshold' => '100', 'countWindow' => 1, 'regionId' => '*', 'api' => 'DetectWorkwear'], + ['threshold' => '100', 'countWindow' => 1, 'regionId' => '*', 'api' => 'DetectKitchenAnimals'], + ['threshold' => '500', 'countWindow' => 1, 'regionId' => '*', 'api' => 'DetectVideoIPCObject'], + ['threshold' => '100', 'countWindow' => 1, 'regionId' => '*', 'api' => 'DetectWhiteBaseImage'], + ['threshold' => '100', 'countWindow' => 1, 'regionId' => '*', 'api' => 'DetectObject'], + ], + ], + 'ram' => [ + 'productCode' => 'VisualIntelligenceAPI', + 'productName' => '视觉智能开放平台', + 'ramCodes' => ['viapi-imageseg', 'viapi-imageaudit', 'viapi-ocr', 'viapi-objectdet', 'viapi-imageenhan', 'viapi-videorecog', 'viapi-imageprocess', 'viapi', 'viapi-ekyc', 'viapi-imgsearch', 'viapi-goodstech', 'viapi-facebody', 'viapi-threedvision', 'viapi-videoenhan', 'viapi-imagerecog', 'viapi-videoseg', 'viapi-regen', 'viapi-aigen'], + 'ramLevel' => '服务级', + 'ramConditions' => [], + 'ramActions' => [ + [ + 'apiName' => 'DetectKitchenAnimals', + 'description' => '猫鼠识别', + 'operationType' => '', + 'ramAction' => [ + 'action' => 'viapi-objectdet:DetectKitchenAnimals', + 'authLevel' => 'operate', + 'actionConditions' => [], + 'resources' => [ + ['validationType' => 'always', 'product' => 'VisualIntelligenceAPI', 'resourceType' => '全部资源', 'arn' => '*'], + ], + ], + ], + [ + 'apiName' => 'DetectIPCObject', + 'description' => 'IPC图像目标检测', + 'operationType' => 'create', + 'ramAction' => [ + 'action' => 'viapi-objectdet:DetectIPCObject', + 'authLevel' => 'operate', + 'actionConditions' => [], + 'resources' => [ + ['validationType' => 'always', 'product' => 'VisualIntelligenceAPI', 'resourceType' => '全部资源', 'arn' => '*'], + ], + ], + ], + [ + 'apiName' => 'DetectWorkwear', + 'description' => '着装检测', + 'operationType' => '', + 'ramAction' => [ + 'action' => 'viapi-objectdet:DetectWorkwear', + 'authLevel' => 'operate', + 'actionConditions' => [], + 'resources' => [ + ['validationType' => 'always', 'product' => 'VisualIntelligenceAPI', 'resourceType' => '全部资源', 'arn' => '*'], + ], + ], + ], + [ + 'apiName' => 'DetectVehicleICongestion', + 'description' => '车辆拥堵检测', + 'operationType' => 'create', + 'ramAction' => [ + 'action' => 'viapi-objectdet:DetectVehicleICongestion', + 'authLevel' => 'operate', + 'actionConditions' => [], + 'resources' => [ + ['validationType' => 'always', 'product' => 'VisualIntelligenceAPI', 'resourceType' => '全部资源', 'arn' => '*'], + ], + ], + ], + [ + 'apiName' => 'GetAsyncJobResult', + 'description' => '查询异步任务结果', + 'operationType' => '', + 'ramAction' => [ + 'action' => 'viapi-objectdet:GetAsyncJobResult', + 'authLevel' => 'operate', + 'actionConditions' => [], + 'resources' => [ + ['validationType' => 'always', 'product' => 'VisualIntelligenceAPI', 'resourceType' => '全部资源', 'arn' => '*'], + ], + ], + ], + [ + 'apiName' => 'DetectVehicleIllegalParking', + 'description' => '车辆违停检测', + 'operationType' => 'create', + 'ramAction' => [ + 'action' => 'viapi-objectdet:DetectVehicleIllegalParking', + 'authLevel' => 'operate', + 'actionConditions' => [], + 'resources' => [ + ['validationType' => 'always', 'product' => 'VisualIntelligenceAPI', 'resourceType' => '全部资源', 'arn' => '*'], + ], + ], + ], + [ + 'apiName' => 'DetectWhiteBaseImage', + 'description' => '白底图检测', + 'operationType' => '', + 'ramAction' => [ + 'action' => 'viapi-objectdet:DetectWhiteBaseImage', + 'authLevel' => 'operate', + 'actionConditions' => [], + 'resources' => [ + ['validationType' => 'always', 'product' => 'VisualIntelligenceAPI', 'resourceType' => '全部资源', 'arn' => '*'], + ], + ], + ], + [ + 'apiName' => 'DetectObject', + 'description' => '物体检测', + 'operationType' => 'create', + 'ramAction' => [ + 'action' => 'viapi-objectdet:DetectObject', + 'authLevel' => 'operate', + 'actionConditions' => [], + 'resources' => [ + ['validationType' => 'always', 'product' => 'VisualIntelligenceAPI', 'resourceType' => '全部资源', 'arn' => '*'], + ], + ], + ], + [ + 'apiName' => 'DetectVideoIPCObject', + 'description' => 'IPC视频目标检测', + 'operationType' => 'create', + 'ramAction' => [ + 'action' => 'viapi-objectdet:DetectVideoIPCObject', + 'authLevel' => 'operate', + 'actionConditions' => [], + 'resources' => [ + ['validationType' => 'always', 'product' => 'VisualIntelligenceAPI', 'resourceType' => '全部资源', 'arn' => '*'], + ], + ], + ], + [ + 'apiName' => 'DetectMainBody', + 'description' => '主体检测', + 'operationType' => '', + 'ramAction' => [ + 'action' => 'viapi-objectdet:DetectMainBody', + 'authLevel' => 'operate', + 'actionConditions' => [], + 'resources' => [ + ['validationType' => 'always', 'product' => 'VisualIntelligenceAPI', 'resourceType' => '全部资源', 'arn' => '*'], + ], + ], + ], ], + 'resourceTypes' => [], ], ]; |