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Creates an Amazon Rekognition stream processor that you can use to detect and recognize faces in a streaming video.

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Detects faces within an image that is provided as input.

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The face-detection algorithm is most effective on frontal faces. For non-frontal or obscured faces, the algorithm might not detect the faces or might detect faces with lower confidence.

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Detects instances of real-world entities within an image (JPEG or PNG) provided as input. This includes objects like flower, tree, and table; events like wedding, graduation, and birthday party; and concepts like landscape, evening, and nature.

For an example, see Analyzing Images Stored in an Amazon S3 Bucket in the Amazon Rekognition Developer Guide.

DetectLabels does not support the detection of activities. However, activity detection is supported for label detection in videos. For more information, see StartLabelDetection in the Amazon Rekognition Developer Guide.

You pass the input image as base64-encoded image bytes or as a reference to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes is not supported. The image must be either a PNG or JPEG formatted file.

For each object, scene, and concept the API returns one or more labels. Each label provides the object name, and the level of confidence that the image contains the object. For example, suppose the input image has a lighthouse, the sea, and a rock. The response includes all three labels, one for each object.

{Name: lighthouse, Confidence: 98.4629}

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In the preceding example, the operation returns one label for each of the three objects. The operation can also return multiple labels for the same object in the image. For example, if the input image shows a flower (for example, a tulip), the operation might return the following three labels.

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In this example, the detection algorithm more precisely identifies the flower as a tulip.

In response, the API returns an array of labels. In addition, the response also includes the orientation correction. Optionally, you can specify MinConfidence to control the confidence threshold for the labels returned. The default is 55%. You can also add the MaxLabels parameter to limit the number of labels returned.

If the object detected is a person, the operation doesn't provide the same facial details that the DetectFaces operation provides.

DetectLabels returns bounding boxes for instances of common object labels in an array of Instance objects. An Instance object contains a BoundingBox object, for the location of the label on the image. It also includes the confidence by which the bounding box was detected.

DetectLabels also returns a hierarchical taxonomy of detected labels. For example, a detected car might be assigned the label car. The label car has two parent labels: Vehicle (its parent) and Transportation (its grandparent). The response returns the entire list of ancestors for a label. Each ancestor is a unique label in the response. In the previous example, Car, Vehicle, and Transportation are returned as unique labels in the response.

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", "httpStatusCode" : null } ], "hasBlobMemberAsPayload" : false, "input" : { "variableDeclarationType" : "DetectLabelsRequest", "variableName" : "detectLabelsRequest", "variableType" : "DetectLabelsRequest", "documentation" : "", "simpleType" : "DetectLabelsRequest", "variableSetterType" : "DetectLabelsRequest" }, "methodName" : "detectLabels", "operationName" : "DetectLabels", "paginated" : false, "returnType" : { "returnType" : "DetectLabelsResponse", "documentation" : null }, "syncReturnType" : "DetectLabelsResponse" }, "DetectModerationLabels" : { "authType" : "IAM", "authenticated" : true, "deprecated" : false, "documentation" : "

Detects explicit or suggestive adult content in a specified JPEG or PNG format image. Use DetectModerationLabels to moderate images depending on your requirements. For example, you might want to filter images that contain nudity, but not images containing suggestive content.

To filter images, use the labels returned by DetectModerationLabels to determine which types of content are appropriate.

For information about moderation labels, see Detecting Unsafe Content in the Amazon Rekognition Developer Guide.

You pass the input image either as base64-encoded image bytes or as a reference to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes is not supported. The image must be either a PNG or JPEG formatted file.

", "endpointDiscovery" : null, "endpointOperation" : false, "endpointTrait" : null, "exceptions" : [ { "exceptionName" : "InvalidS3ObjectException", "documentation" : "

Amazon Rekognition is unable to access the S3 object specified in the request.

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", "httpStatusCode" : null }, { "exceptionName" : "ProvisionedThroughputExceededException", "documentation" : "

The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon Rekognition.

", "httpStatusCode" : null }, { "exceptionName" : "InvalidImageFormatException", "documentation" : "

The provided image format is not supported.

", "httpStatusCode" : null } ], "hasBlobMemberAsPayload" : false, "input" : { "variableDeclarationType" : "DetectModerationLabelsRequest", "variableName" : "detectModerationLabelsRequest", "variableType" : "DetectModerationLabelsRequest", "documentation" : "", "simpleType" : "DetectModerationLabelsRequest", "variableSetterType" : "DetectModerationLabelsRequest" }, "methodName" : "detectModerationLabels", "operationName" : "DetectModerationLabels", "paginated" : false, "returnType" : { "returnType" : "DetectModerationLabelsResponse", "documentation" : null }, "syncReturnType" : "DetectModerationLabelsResponse" }, "DetectText" : { "authType" : "IAM", "authenticated" : true, "deprecated" : false, "documentation" : "

Detects text in the input image and converts it into machine-readable text.

Pass the input image as base64-encoded image bytes or as a reference to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, you must pass it as a reference to an image in an Amazon S3 bucket. For the AWS CLI, passing image bytes is not supported. The image must be either a .png or .jpeg formatted file.

The DetectText operation returns text in an array of TextDetection elements, TextDetections. Each TextDetection element provides information about a single word or line of text that was detected in the image.

A word is one or more ISO basic latin script characters that are not separated by spaces. DetectText can detect up to 50 words in an image.

A line is a string of equally spaced words. A line isn't necessarily a complete sentence. For example, a driver's license number is detected as a line. A line ends when there is no aligned text after it. Also, a line ends when there is a large gap between words, relative to the length of the words. This means, depending on the gap between words, Amazon Rekognition may detect multiple lines in text aligned in the same direction. Periods don't represent the end of a line. If a sentence spans multiple lines, the DetectText operation returns multiple lines.

To determine whether a TextDetection element is a line of text or a word, use the TextDetection object Type field.

To be detected, text must be within +/- 90 degrees orientation of the horizontal axis.

For more information, see DetectText in the Amazon Rekognition Developer Guide.

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Amazon Rekognition is unable to access the S3 object specified in the request.

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You are not authorized to perform the action.

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Amazon Rekognition is temporarily unable to process the request. Try your call again.

", "httpStatusCode" : null }, { "exceptionName" : "ProvisionedThroughputExceededException", "documentation" : "

The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon Rekognition.

", "httpStatusCode" : null }, { "exceptionName" : "InvalidImageFormatException", "documentation" : "

The provided image format is not supported.

", "httpStatusCode" : null } ], "hasBlobMemberAsPayload" : false, "input" : { "variableDeclarationType" : "DetectTextRequest", "variableName" : "detectTextRequest", "variableType" : "DetectTextRequest", "documentation" : "", "simpleType" : "DetectTextRequest", "variableSetterType" : "DetectTextRequest" }, "methodName" : "detectText", "operationName" : "DetectText", "paginated" : false, "returnType" : { "returnType" : "DetectTextResponse", "documentation" : null }, "syncReturnType" : "DetectTextResponse" }, "GetCelebrityInfo" : { "authType" : "IAM", "authenticated" : true, "deprecated" : false, "documentation" : "

Gets the name and additional information about a celebrity based on his or her Amazon Rekognition ID. The additional information is returned as an array of URLs. If there is no additional information about the celebrity, this list is empty.

For more information, see Recognizing Celebrities in an Image in the Amazon Rekognition Developer Guide.

This operation requires permissions to perform the rekognition:GetCelebrityInfo action.

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Input parameter violated a constraint. Validate your parameter before calling the API operation again.

", "httpStatusCode" : null }, { "exceptionName" : "AccessDeniedException", "documentation" : "

You are not authorized to perform the action.

", "httpStatusCode" : null }, { "exceptionName" : "InternalServerErrorException", "documentation" : "

Amazon Rekognition experienced a service issue. Try your call again.

", "httpStatusCode" : null }, { "exceptionName" : "ThrottlingException", "documentation" : "

Amazon Rekognition is temporarily unable to process the request. Try your call again.

", "httpStatusCode" : null }, { "exceptionName" : "ProvisionedThroughputExceededException", "documentation" : "

The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon Rekognition.

", "httpStatusCode" : null }, { "exceptionName" : "ResourceNotFoundException", "documentation" : "

The collection specified in the request cannot be found.

", "httpStatusCode" : null } ], "hasBlobMemberAsPayload" : false, "input" : { "variableDeclarationType" : "GetCelebrityInfoRequest", "variableName" : "getCelebrityInfoRequest", "variableType" : "GetCelebrityInfoRequest", "documentation" : "", "simpleType" : "GetCelebrityInfoRequest", "variableSetterType" : "GetCelebrityInfoRequest" }, "methodName" : "getCelebrityInfo", "operationName" : "GetCelebrityInfo", "paginated" : false, "returnType" : { "returnType" : "GetCelebrityInfoResponse", "documentation" : null }, "syncReturnType" : "GetCelebrityInfoResponse" }, "GetCelebrityRecognition" : { "authType" : "IAM", "authenticated" : true, "deprecated" : false, "documentation" : "

Gets the celebrity recognition results for a Amazon Rekognition Video analysis started by StartCelebrityRecognition.

Celebrity recognition in a video is an asynchronous operation. Analysis is started by a call to StartCelebrityRecognition which returns a job identifier (JobId). When the celebrity recognition operation finishes, Amazon Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic registered in the initial call to StartCelebrityRecognition. To get the results of the celebrity recognition analysis, first check that the status value published to the Amazon SNS topic is SUCCEEDED. If so, call GetCelebrityDetection and pass the job identifier (JobId) from the initial call to StartCelebrityDetection.

For more information, see Working With Stored Videos in the Amazon Rekognition Developer Guide.

GetCelebrityRecognition returns detected celebrities and the time(s) they are detected in an array (Celebrities) of CelebrityRecognition objects. Each CelebrityRecognition contains information about the celebrity in a CelebrityDetail object and the time, Timestamp, the celebrity was detected.

GetCelebrityRecognition only returns the default facial attributes (BoundingBox, Confidence, Landmarks, Pose, and Quality). The other facial attributes listed in the Face object of the following response syntax are not returned. For more information, see FaceDetail in the Amazon Rekognition Developer Guide.

By default, the Celebrities array is sorted by time (milliseconds from the start of the video). You can also sort the array by celebrity by specifying the value ID in the SortBy input parameter.

The CelebrityDetail object includes the celebrity identifer and additional information urls. If you don't store the additional information urls, you can get them later by calling GetCelebrityInfo with the celebrity identifer.

No information is returned for faces not recognized as celebrities.

Use MaxResults parameter to limit the number of labels returned. If there are more results than specified in MaxResults, the value of NextToken in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call GetCelebrityDetection and populate the NextToken request parameter with the token value returned from the previous call to GetCelebrityRecognition.

", "endpointDiscovery" : null, "endpointOperation" : false, "endpointTrait" : null, "exceptions" : [ { "exceptionName" : "AccessDeniedException", "documentation" : "

You are not authorized to perform the action.

", "httpStatusCode" : null }, { "exceptionName" : "InternalServerErrorException", "documentation" : "

Amazon Rekognition experienced a service issue. Try your call again.

", "httpStatusCode" : null }, { "exceptionName" : "InvalidParameterException", "documentation" : "

Input parameter violated a constraint. Validate your parameter before calling the API operation again.

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Pagination token in the request is not valid.

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The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon Rekognition.

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The collection specified in the request cannot be found.

", "httpStatusCode" : null }, { "exceptionName" : "ThrottlingException", "documentation" : "

Amazon Rekognition is temporarily unable to process the request. Try your call again.

", "httpStatusCode" : null } ], "hasBlobMemberAsPayload" : false, "input" : { "variableDeclarationType" : "GetCelebrityRecognitionRequest", "variableName" : "getCelebrityRecognitionRequest", "variableType" : "GetCelebrityRecognitionRequest", "documentation" : "", "simpleType" : "GetCelebrityRecognitionRequest", "variableSetterType" : "GetCelebrityRecognitionRequest" }, "methodName" : "getCelebrityRecognition", "operationName" : "GetCelebrityRecognition", "paginated" : true, "returnType" : { "returnType" : "GetCelebrityRecognitionResponse", "documentation" : null }, "syncReturnType" : "GetCelebrityRecognitionResponse" }, "GetContentModeration" : { "authType" : "IAM", "authenticated" : true, "deprecated" : false, "documentation" : "

Gets the content moderation analysis results for a Amazon Rekognition Video analysis started by StartContentModeration.

Content moderation analysis of a video is an asynchronous operation. You start analysis by calling StartContentModeration which returns a job identifier (JobId). When analysis finishes, Amazon Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic registered in the initial call to StartContentModeration. To get the results of the content moderation analysis, first check that the status value published to the Amazon SNS topic is SUCCEEDED. If so, call GetContentModeration and pass the job identifier (JobId) from the initial call to StartContentModeration.

For more information, see Working with Stored Videos in the Amazon Rekognition Devlopers Guide.

GetContentModeration returns detected content moderation labels, and the time they are detected, in an array, ModerationLabels, of ContentModerationDetection objects.

By default, the moderated labels are returned sorted by time, in milliseconds from the start of the video. You can also sort them by moderated label by specifying NAME for the SortBy input parameter.

Since video analysis can return a large number of results, use the MaxResults parameter to limit the number of labels returned in a single call to GetContentModeration. If there are more results than specified in MaxResults, the value of NextToken in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call GetContentModeration and populate the NextToken request parameter with the value of NextToken returned from the previous call to GetContentModeration.

For more information, see Detecting Unsafe Content in the Amazon Rekognition Developer Guide.

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You are not authorized to perform the action.

", "httpStatusCode" : null }, { "exceptionName" : "InternalServerErrorException", "documentation" : "

Amazon Rekognition experienced a service issue. Try your call again.

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The collection specified in the request cannot be found.

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Amazon Rekognition is temporarily unable to process the request. Try your call again.

", "httpStatusCode" : null } ], "hasBlobMemberAsPayload" : false, "input" : { "variableDeclarationType" : "GetContentModerationRequest", "variableName" : "getContentModerationRequest", "variableType" : "GetContentModerationRequest", "documentation" : "", "simpleType" : "GetContentModerationRequest", "variableSetterType" : "GetContentModerationRequest" }, "methodName" : "getContentModeration", "operationName" : "GetContentModeration", "paginated" : true, "returnType" : { "returnType" : "GetContentModerationResponse", "documentation" : null }, "syncReturnType" : "GetContentModerationResponse" }, "GetFaceDetection" : { "authType" : "IAM", "authenticated" : true, "deprecated" : false, "documentation" : "

Gets face detection results for a Amazon Rekognition Video analysis started by StartFaceDetection.

Face detection with Amazon Rekognition Video is an asynchronous operation. You start face detection by calling StartFaceDetection which returns a job identifier (JobId). When the face detection operation finishes, Amazon Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic registered in the initial call to StartFaceDetection. To get the results of the face detection operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED. If so, call GetFaceDetection and pass the job identifier (JobId) from the initial call to StartFaceDetection.

GetFaceDetection returns an array of detected faces (Faces) sorted by the time the faces were detected.

Use MaxResults parameter to limit the number of labels returned. If there are more results than specified in MaxResults, the value of NextToken in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call GetFaceDetection and populate the NextToken request parameter with the token value returned from the previous call to GetFaceDetection.

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You are not authorized to perform the action.

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Amazon Rekognition experienced a service issue. Try your call again.

", "httpStatusCode" : null }, { "exceptionName" : "InvalidParameterException", "documentation" : "

Input parameter violated a constraint. Validate your parameter before calling the API operation again.

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Pagination token in the request is not valid.

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The collection specified in the request cannot be found.

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Amazon Rekognition is temporarily unable to process the request. Try your call again.

", "httpStatusCode" : null } ], "hasBlobMemberAsPayload" : false, "input" : { "variableDeclarationType" : "GetFaceDetectionRequest", "variableName" : "getFaceDetectionRequest", "variableType" : "GetFaceDetectionRequest", "documentation" : "", "simpleType" : "GetFaceDetectionRequest", "variableSetterType" : "GetFaceDetectionRequest" }, "methodName" : "getFaceDetection", "operationName" : "GetFaceDetection", "paginated" : true, "returnType" : { "returnType" : "GetFaceDetectionResponse", "documentation" : null }, "syncReturnType" : "GetFaceDetectionResponse" }, "GetFaceSearch" : { "authType" : "IAM", "authenticated" : true, "deprecated" : false, "documentation" : "

Gets the face search results for Amazon Rekognition Video face search started by StartFaceSearch. The search returns faces in a collection that match the faces of persons detected in a video. It also includes the time(s) that faces are matched in the video.

Face search in a video is an asynchronous operation. You start face search by calling to StartFaceSearch which returns a job identifier (JobId). When the search operation finishes, Amazon Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic registered in the initial call to StartFaceSearch. To get the search results, first check that the status value published to the Amazon SNS topic is SUCCEEDED. If so, call GetFaceSearch and pass the job identifier (JobId) from the initial call to StartFaceSearch.

For more information, see Searching Faces in a Collection in the Amazon Rekognition Developer Guide.

The search results are retured in an array, Persons, of PersonMatch objects. EachPersonMatch element contains details about the matching faces in the input collection, person information (facial attributes, bounding boxes, and person identifer) for the matched person, and the time the person was matched in the video.

GetFaceSearch only returns the default facial attributes (BoundingBox, Confidence, Landmarks, Pose, and Quality). The other facial attributes listed in the Face object of the following response syntax are not returned. For more information, see FaceDetail in the Amazon Rekognition Developer Guide.

By default, the Persons array is sorted by the time, in milliseconds from the start of the video, persons are matched. You can also sort by persons by specifying INDEX for the SORTBY input parameter.

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Amazon Rekognition experienced a service issue. Try your call again.

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The collection specified in the request cannot be found.

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Amazon Rekognition is temporarily unable to process the request. Try your call again.

", "httpStatusCode" : null } ], "hasBlobMemberAsPayload" : false, "input" : { "variableDeclarationType" : "GetFaceSearchRequest", "variableName" : "getFaceSearchRequest", "variableType" : "GetFaceSearchRequest", "documentation" : "", "simpleType" : "GetFaceSearchRequest", "variableSetterType" : "GetFaceSearchRequest" }, "methodName" : "getFaceSearch", "operationName" : "GetFaceSearch", "paginated" : true, "returnType" : { "returnType" : "GetFaceSearchResponse", "documentation" : null }, "syncReturnType" : "GetFaceSearchResponse" }, "GetLabelDetection" : { "authType" : "IAM", "authenticated" : true, "deprecated" : false, "documentation" : "

Gets the label detection results of a Amazon Rekognition Video analysis started by StartLabelDetection.

The label detection operation is started by a call to StartLabelDetection which returns a job identifier (JobId). When the label detection operation finishes, Amazon Rekognition publishes a completion status to the Amazon Simple Notification Service topic registered in the initial call to StartlabelDetection. To get the results of the label detection operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED. If so, call GetLabelDetection and pass the job identifier (JobId) from the initial call to StartLabelDetection.

GetLabelDetection returns an array of detected labels (Labels) sorted by the time the labels were detected. You can also sort by the label name by specifying NAME for the SortBy input parameter.

The labels returned include the label name, the percentage confidence in the accuracy of the detected label, and the time the label was detected in the video.

The returned labels also include bounding box information for common objects, a hierarchical taxonomy of detected labels, and the version of the label model used for detection.

Use MaxResults parameter to limit the number of labels returned. If there are more results than specified in MaxResults, the value of NextToken in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call GetlabelDetection and populate the NextToken request parameter with the token value returned from the previous call to GetLabelDetection.

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You are not authorized to perform the action.

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Amazon Rekognition experienced a service issue. Try your call again.

", "httpStatusCode" : null }, { "exceptionName" : "InvalidParameterException", "documentation" : "

Input parameter violated a constraint. Validate your parameter before calling the API operation again.

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Pagination token in the request is not valid.

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The collection specified in the request cannot be found.

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Amazon Rekognition is temporarily unable to process the request. Try your call again.

", "httpStatusCode" : null } ], "hasBlobMemberAsPayload" : false, "input" : { "variableDeclarationType" : "GetLabelDetectionRequest", "variableName" : "getLabelDetectionRequest", "variableType" : "GetLabelDetectionRequest", "documentation" : "", "simpleType" : "GetLabelDetectionRequest", "variableSetterType" : "GetLabelDetectionRequest" }, "methodName" : "getLabelDetection", "operationName" : "GetLabelDetection", "paginated" : true, "returnType" : { "returnType" : "GetLabelDetectionResponse", "documentation" : null }, "syncReturnType" : "GetLabelDetectionResponse" }, "GetPersonTracking" : { "authType" : "IAM", "authenticated" : true, "deprecated" : false, "documentation" : "

Gets the path tracking results of a Amazon Rekognition Video analysis started by StartPersonTracking.

The person path tracking operation is started by a call to StartPersonTracking which returns a job identifier (JobId). When the operation finishes, Amazon Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic registered in the initial call to StartPersonTracking.

To get the results of the person path tracking operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED. If so, call GetPersonTracking and pass the job identifier (JobId) from the initial call to StartPersonTracking.

GetPersonTracking returns an array, Persons, of tracked persons and the time(s) their paths were tracked in the video.

GetPersonTracking only returns the default facial attributes (BoundingBox, Confidence, Landmarks, Pose, and Quality). The other facial attributes listed in the Face object of the following response syntax are not returned.

For more information, see FaceDetail in the Amazon Rekognition Developer Guide.

By default, the array is sorted by the time(s) a person's path is tracked in the video. You can sort by tracked persons by specifying INDEX for the SortBy input parameter.

Use the MaxResults parameter to limit the number of items returned. If there are more results than specified in MaxResults, the value of NextToken in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call GetPersonTracking and populate the NextToken request parameter with the token value returned from the previous call to GetPersonTracking.

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You are not authorized to perform the action.

", "httpStatusCode" : null }, { "exceptionName" : "InternalServerErrorException", "documentation" : "

Amazon Rekognition experienced a service issue. Try your call again.

", "httpStatusCode" : null }, { "exceptionName" : "InvalidParameterException", "documentation" : "

Input parameter violated a constraint. Validate your parameter before calling the API operation again.

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Pagination token in the request is not valid.

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The number of requests exceeded your throughput limit. If you want to increase this limit, contact Amazon Rekognition.

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The collection specified in the request cannot be found.

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Amazon Rekognition is temporarily unable to process the request. Try your call again.

", "httpStatusCode" : null } ], "hasBlobMemberAsPayload" : false, "input" : { "variableDeclarationType" : "GetPersonTrackingRequest", "variableName" : "getPersonTrackingRequest", "variableType" : "GetPersonTrackingRequest", "documentation" : "", "simpleType" : "GetPersonTrackingRequest", "variableSetterType" : "GetPersonTrackingRequest" }, "methodName" : "getPersonTracking", "operationName" : "GetPersonTracking", "paginated" : true, "returnType" : { "returnType" : "GetPersonTrackingResponse", "documentation" : null }, "syncReturnType" : "GetPersonTrackingResponse" }, "IndexFaces" : { "authType" : "IAM", "authenticated" : true, "deprecated" : false, "documentation" : "

Detects faces in the input image and adds them to the specified collection.

Amazon Rekognition doesn't save the actual faces that are detected. Instead, the underlying detection algorithm first detects the faces in the input image. For each face, the algorithm extracts facial features into a feature vector, and stores it in the backend database. Amazon Rekognition uses feature vectors when it performs face match and search operations using the SearchFaces and SearchFacesByImage operations.

For more information, see Adding Faces to a Collection in the Amazon Rekognition Developer Guide.

To get the number of faces in a collection, call DescribeCollection.

If you're using version 1.0 of the face detection model, IndexFaces indexes the 15 largest faces in the input image. Later versions of the face detection model index the 100 largest faces in the input image.

If you're using version 4 or later of the face model, image orientation information is not returned in the OrientationCorrection field.

To determine which version of the model you're using, call DescribeCollection and supply the collection ID. You can also get the model version from the value of FaceModelVersion in the response from IndexFaces

For more information, see Model Versioning in the Amazon Rekognition Developer Guide.

If you provide the optional ExternalImageID for the input image you provided, Amazon Rekognition associates this ID with all faces that it detects. When you call the ListFaces operation, the response returns the external ID. You can use this external image ID to create a client-side index to associate the faces with each image. You can then use the index to find all faces in an image.

You can specify the maximum number of faces to index with the MaxFaces input parameter. This is useful when you want to index the largest faces in an image and don't want to index smaller faces, such as those belonging to people standing in the background.

The QualityFilter input parameter allows you to filter out detected faces that don’t meet the required quality bar chosen by Amazon Rekognition. The quality bar is based on a variety of common use cases. By default, IndexFaces filters detected faces. You can also explicitly filter detected faces by specifying AUTO for the value of QualityFilter. If you do not want to filter detected faces, specify NONE.

To use quality filtering, you need a collection associated with version 3 of the face model. To get the version of the face model associated with a collection, call DescribeCollection.

Information about faces detected in an image, but not indexed, is returned in an array of UnindexedFace objects, UnindexedFaces. Faces aren't indexed for reasons such as:

  • The number of faces detected exceeds the value of the MaxFaces request parameter.

  • The face is too small compared to the image dimensions.

  • The face is too blurry.

  • The image is too dark.

  • The face has an extreme pose.

In response, the IndexFaces operation returns an array of metadata for all detected faces, FaceRecords. This includes:

  • The bounding box, BoundingBox, of the detected face.

  • A confidence value, Confidence, which indicates the confidence that the bounding box contains a face.

  • A face ID, FaceId, assigned by the service for each face that's detected and stored.

  • An image ID, ImageId, assigned by the service for the input image.

If you request all facial attributes (by using the detectionAttributes parameter), Amazon Rekognition returns detailed facial attributes, such as facial landmarks (for example, location of eye and mouth) and other facial attributes like gender. If you provide the same image, specify the same collection, and use the same external ID in the IndexFaces operation, Amazon Rekognition doesn't save duplicate face metadata.

The input image is passed either as base64-encoded image bytes, or as a reference to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes isn't supported. The image must be formatted as a PNG or JPEG file.

This operation requires permissions to perform the rekognition:IndexFaces action.

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Returns list of collection IDs in your account. If the result is truncated, the response also provides a NextToken that you can use in the subsequent request to fetch the next set of collection IDs.

For an example, see Listing Collections in the Amazon Rekognition Developer Guide.

This operation requires permissions to perform the rekognition:ListCollections action.

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Returns metadata for faces in the specified collection. This metadata includes information such as the bounding box coordinates, the confidence (that the bounding box contains a face), and face ID. For an example, see Listing Faces in a Collection in the Amazon Rekognition Developer Guide.

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Gets a list of stream processors that you have created with CreateStreamProcessor.

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Returns an array of celebrities recognized in the input image. For more information, see Recognizing Celebrities in the Amazon Rekognition Developer Guide.

RecognizeCelebrities returns the 100 largest faces in the image. It lists recognized celebrities in the CelebrityFaces array and unrecognized faces in the UnrecognizedFaces array. RecognizeCelebrities doesn't return celebrities whose faces aren't among the largest 100 faces in the image.

For each celebrity recognized, RecognizeCelebrities returns a Celebrity object. The Celebrity object contains the celebrity name, ID, URL links to additional information, match confidence, and a ComparedFace object that you can use to locate the celebrity's face on the image.

Amazon Rekognition doesn't retain information about which images a celebrity has been recognized in. Your application must store this information and use the Celebrity ID property as a unique identifier for the celebrity. If you don't store the celebrity name or additional information URLs returned by RecognizeCelebrities, you will need the ID to identify the celebrity in a call to the GetCelebrityInfo operation.

You pass the input image either as base64-encoded image bytes or as a reference to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes is not supported. The image must be either a PNG or JPEG formatted file.

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For a given input face ID, searches for matching faces in the collection the face belongs to. You get a face ID when you add a face to the collection using the IndexFaces operation. The operation compares the features of the input face with faces in the specified collection.

You can also search faces without indexing faces by using the SearchFacesByImage operation.

The operation response returns an array of faces that match, ordered by similarity score with the highest similarity first. More specifically, it is an array of metadata for each face match that is found. Along with the metadata, the response also includes a confidence value for each face match, indicating the confidence that the specific face matches the input face.

For an example, see Searching for a Face Using Its Face ID in the Amazon Rekognition Developer Guide.

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For a given input image, first detects the largest face in the image, and then searches the specified collection for matching faces. The operation compares the features of the input face with faces in the specified collection.

To search for all faces in an input image, you might first call the IndexFaces operation, and then use the face IDs returned in subsequent calls to the SearchFaces operation.

You can also call the DetectFaces operation and use the bounding boxes in the response to make face crops, which then you can pass in to the SearchFacesByImage operation.

You pass the input image either as base64-encoded image bytes or as a reference to an image in an Amazon S3 bucket. If you use the AWS CLI to call Amazon Rekognition operations, passing image bytes is not supported. The image must be either a PNG or JPEG formatted file.

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Starts asynchronous recognition of celebrities in a stored video.

Amazon Rekognition Video can detect celebrities in a video must be stored in an Amazon S3 bucket. Use Video to specify the bucket name and the filename of the video. StartCelebrityRecognition returns a job identifier (JobId) which you use to get the results of the analysis. When celebrity recognition analysis is finished, Amazon Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic that you specify in NotificationChannel. To get the results of the celebrity recognition analysis, first check that the status value published to the Amazon SNS topic is SUCCEEDED. If so, call GetCelebrityRecognition and pass the job identifier (JobId) from the initial call to StartCelebrityRecognition.

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Starts asynchronous detection of explicit or suggestive adult content in a stored video.

Amazon Rekognition Video can moderate content in a video stored in an Amazon S3 bucket. Use Video to specify the bucket name and the filename of the video. StartContentModeration returns a job identifier (JobId) which you use to get the results of the analysis. When content moderation analysis is finished, Amazon Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic that you specify in NotificationChannel.

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Starts asynchronous detection of faces in a stored video.

Amazon Rekognition Video can detect faces in a video stored in an Amazon S3 bucket. Use Video to specify the bucket name and the filename of the video. StartFaceDetection returns a job identifier (JobId) that you use to get the results of the operation. When face detection is finished, Amazon Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic that you specify in NotificationChannel. To get the results of the face detection operation, first check that the status value published to the Amazon SNS topic is SUCCEEDED. If so, call GetFaceDetection and pass the job identifier (JobId) from the initial call to StartFaceDetection.

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All Rights Reserved.\n *\n * Licensed under the Apache License, Version 2.0 (the \"License\").\n * You may not use this file except in compliance with the License.\n * A copy of the License is located at\n *\n * http://aws.amazon.com/apache2.0\n *\n * or in the \"license\" file accompanying this file. This file is distributed\n * on an \"AS IS\" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either\n * express or implied. See the License for the specific language governing\n * permissions and limitations under the License.\n */\n", "sdkBaseResponseFqcn" : "software.amazon.awssdk.awscore.AwsResponse", "sdkModeledExceptionBaseClassName" : "RekognitionException", "sdkModeledExceptionBaseFqcn" : "software.amazon.awssdk.services.rekognition.model.RekognitionException", "sdkRequestBaseClassName" : "RekognitionRequest", "sdkResponseBaseClassName" : "RekognitionResponse" }




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