AWS.Tools.Rekognition.XML
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<doc> <assembly> <name>AWS.Tools.Rekognition</name> </assembly> <members> <member name="T:Amazon.PowerShell.Cmdlets.REK.AddREKDetectedFacesToCollectionCmdlet"> <summary> Detects faces in the input image and adds them to the specified collection. <para> 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 <a>SearchFaces</a> and <a>SearchFacesByImage</a> operations. </para><para> For more information, see Adding Faces to a Collection in the Amazon Rekognition Developer Guide. </para><para> To get the number of faces in a collection, call <a>DescribeCollection</a>. </para><para> If you're using version 1.0 of the face detection model, <code>IndexFaces</code> 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. </para><para> If you're using version 4 or later of the face model, image orientation information is not returned in the <code>OrientationCorrection</code> field. </para><para> To determine which version of the model you're using, call <a>DescribeCollection</a> and supply the collection ID. You can also get the model version from the value of <code>FaceModelVersion</code> in the response from <code>IndexFaces</code></para><para> For more information, see Model Versioning in the Amazon Rekognition Developer Guide. </para><para> If you provide the optional <code>ExternalImageID</code> for the input image you provided, Amazon Rekognition associates this ID with all faces that it detects. When you call the <a>ListFaces</a> 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. </para><para> You can specify the maximum number of faces to index with the <code>MaxFaces</code> 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. </para><para> The <code>QualityFilter</code> 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, <code>IndexFaces</code> filters detected faces. You can also explicitly filter detected faces by specifying <code>AUTO</code> for the value of <code>QualityFilter</code>. If you do not want to filter detected faces, specify <code>NONE</code>. </para><note><para> 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 <a>DescribeCollection</a>. </para></note><para> Information about faces detected in an image, but not indexed, is returned in an array of <a>UnindexedFace</a> objects, <code>UnindexedFaces</code>. Faces aren't indexed for reasons such as: </para><ul><li><para> The number of faces detected exceeds the value of the <code>MaxFaces</code> request parameter. </para></li><li><para> The face is too small compared to the image dimensions. </para></li><li><para> The face is too blurry. </para></li><li><para> The image is too dark. </para></li><li><para> The face has an extreme pose. </para></li></ul><para> In response, the <code>IndexFaces</code> operation returns an array of metadata for all detected faces, <code>FaceRecords</code>. This includes: </para><ul><li><para> The bounding box, <code>BoundingBox</code>, of the detected face. </para></li><li><para> A confidence value, <code>Confidence</code>, which indicates the confidence that the bounding box contains a face. </para></li><li><para> A face ID, <code>FaceId</code>, assigned by the service for each face that's detected and stored. </para></li><li><para> An image ID, <code>ImageId</code>, assigned by the service for the input image. </para></li></ul><para> If you request all facial attributes (by using the <code>detectionAttributes</code> 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 <code>IndexFaces</code> operation, Amazon Rekognition doesn't save duplicate face metadata. </para><para> 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. </para><para> This operation requires permissions to perform the <code>rekognition:IndexFaces</code> action. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.AddREKDetectedFacesToCollectionCmdlet.ImageBucket"> <summary> <para> <para>Name of the S3 bucket.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.AddREKDetectedFacesToCollectionCmdlet.ImageContent"> <summary> <para> <para>Blob of image bytes up to 5 MBs.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.AddREKDetectedFacesToCollectionCmdlet.CollectionId"> <summary> <para> <para>The ID of an existing collection to which you want to add the faces that are detected in the input images.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.AddREKDetectedFacesToCollectionCmdlet.DetectionAttribute"> <summary> <para> <para>An array of facial attributes that you want to be returned. This can be the default list of attributes or all attributes. If you don't specify a value for <code>Attributes</code> or if you specify <code>["DEFAULT"]</code>, the API returns the following subset of facial attributes: <code>BoundingBox</code>, <code>Confidence</code>, <code>Pose</code>, <code>Quality</code>, and <code>Landmarks</code>. If you provide <code>["ALL"]</code>, all facial attributes are returned, but the operation takes longer to complete.</para><para>If you provide both, <code>["ALL", "DEFAULT"]</code>, the service uses a logical AND operator to determine which attributes to return (in this case, all attributes). </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.AddREKDetectedFacesToCollectionCmdlet.ExternalImageId"> <summary> <para> <para>The ID you want to assign to all the faces detected in the image.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.AddREKDetectedFacesToCollectionCmdlet.MaxFace"> <summary> <para> <para>The maximum number of faces to index. The value of <code>MaxFaces</code> must be greater than or equal to 1. <code>IndexFaces</code> returns no more than 100 detected faces in an image, even if you specify a larger value for <code>MaxFaces</code>.</para><para>If <code>IndexFaces</code> detects more faces than the value of <code>MaxFaces</code>, the faces with the lowest quality are filtered out first. If there are still more faces than the value of <code>MaxFaces</code>, the faces with the smallest bounding boxes are filtered out (up to the number that's needed to satisfy the value of <code>MaxFaces</code>). Information about the unindexed faces is available in the <code>UnindexedFaces</code> array. </para><para>The faces that are returned by <code>IndexFaces</code> are sorted by the largest face bounding box size to the smallest size, in descending order.</para><para><code>MaxFaces</code> can be used with a collection associated with any version of the face model.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.AddREKDetectedFacesToCollectionCmdlet.ImageName"> <summary> <para> <para>S3 object key name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.AddREKDetectedFacesToCollectionCmdlet.QualityFilter"> <summary> <para> <para>A filter that specifies how much filtering is done to identify faces that are detected with low quality. Filtered faces aren't indexed. If you specify <code>AUTO</code>, filtering prioritizes the identification of 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. Low-quality detections can occur for a number of reasons. Some examples are an object that's misidentified as a face, a face that's too blurry, or a face with a pose that's too extreme to use. If you specify <code>NONE</code>, no filtering is performed. The default value is AUTO.</para><para>To use quality filtering, the collection you are using must be associated with version 3 of the face model.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.AddREKDetectedFacesToCollectionCmdlet.ImageVersion"> <summary> <para> <para>If the bucket is versioning enabled, you can specify the object version. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.AddREKDetectedFacesToCollectionCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.CompareREKFaceCmdlet"> <summary> Compares a face in the <i>source</i> input image with each of the 100 largest faces detected in the <i>target</i> input image. <note><para> If the source image contains multiple faces, the service detects the largest face and compares it with each face detected in the target image. </para></note><para> You pass the input and target images either as base64-encoded image bytes or as references to images 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. </para><para> In response, the operation returns an array of face matches ordered by similarity score in descending order. For each face match, the response provides a bounding box of the face, facial landmarks, pose details (pitch, role, and yaw), quality (brightness and sharpness), and confidence value (indicating the level of confidence that the bounding box contains a face). The response also provides a similarity score, which indicates how closely the faces match. </para><note><para> By default, only faces with a similarity score of greater than or equal to 80% are returned in the response. You can change this value by specifying the <code>SimilarityThreshold</code> parameter. </para></note><para><code>CompareFaces</code> also returns an array of faces that don't match the source image. For each face, it returns a bounding box, confidence value, landmarks, pose details, and quality. The response also returns information about the face in the source image, including the bounding box of the face and confidence value. </para><para> If the image doesn't contain Exif metadata, <code>CompareFaces</code> returns orientation information for the source and target images. Use these values to display the images with the correct image orientation. </para><para> If no faces are detected in the source or target images, <code>CompareFaces</code> returns an <code>InvalidParameterException</code> error. </para><note><para> This is a stateless API operation. That is, data returned by this operation doesn't persist. </para></note><para> For an example, see Comparing Faces in Images in the Amazon Rekognition Developer Guide. </para><para> This operation requires permissions to perform the <code>rekognition:CompareFaces</code> action. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.CompareREKFaceCmdlet.SourceImageBucket"> <summary> <para> <para>Name of the S3 bucket.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.CompareREKFaceCmdlet.TargetImageBucket"> <summary> <para> <para>Name of the S3 bucket.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.CompareREKFaceCmdlet.SourceImageContent"> <summary> <para> <para>Blob of image bytes up to 5 MBs.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.CompareREKFaceCmdlet.TargetImageContent"> <summary> <para> <para>Blob of image bytes up to 5 MBs.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.CompareREKFaceCmdlet.SourceImageName"> <summary> <para> <para>S3 object key name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.CompareREKFaceCmdlet.TargetImageName"> <summary> <para> <para>S3 object key name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.CompareREKFaceCmdlet.SimilarityThreshold"> <summary> <para> <para>The minimum level of confidence in the face matches that a match must meet to be included in the <code>FaceMatches</code> array.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.CompareREKFaceCmdlet.SourceImageVersion"> <summary> <para> <para>If the bucket is versioning enabled, you can specify the object version. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.CompareREKFaceCmdlet.TargetImageVersion"> <summary> <para> <para>If the bucket is versioning enabled, you can specify the object version. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.CompareREKFaceCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.FindREKCelebrityCmdlet"> <summary> Returns an array of celebrities recognized in the input image. For more information, see Recognizing Celebrities in the Amazon Rekognition Developer Guide. <para><code>RecognizeCelebrities</code> returns the 100 largest faces in the image. It lists recognized celebrities in the <code>CelebrityFaces</code> array and unrecognized faces in the <code>UnrecognizedFaces</code> array. <code>RecognizeCelebrities</code> doesn't return celebrities whose faces aren't among the largest 100 faces in the image. </para><para> For each celebrity recognized, <code>RecognizeCelebrities</code> returns a <code>Celebrity</code> object. The <code>Celebrity</code> object contains the celebrity name, ID, URL links to additional information, match confidence, and a <code>ComparedFace</code> object that you can use to locate the celebrity's face on the image. </para><para> Amazon Rekognition doesn't retain information about which images a celebrity has been recognized in. Your application must store this information and use the <code>Celebrity</code> ID property as a unique identifier for the celebrity. If you don't store the celebrity name or additional information URLs returned by <code>RecognizeCelebrities</code>, you will need the ID to identify the celebrity in a call to the <a>GetCelebrityInfo</a> operation. </para><para> 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. </para><para> For an example, see Recognizing Celebrities in an Image in the Amazon Rekognition Developer Guide. </para><para> This operation requires permissions to perform the <code>rekognition:RecognizeCelebrities</code> operation. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKCelebrityCmdlet.ImageBucket"> <summary> <para> <para>Name of the S3 bucket.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKCelebrityCmdlet.ImageContent"> <summary> <para> <para>Blob of image bytes up to 5 MBs.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKCelebrityCmdlet.ImageName"> <summary> <para> <para>S3 object key name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKCelebrityCmdlet.ImageVersion"> <summary> <para> <para>If the bucket is versioning enabled, you can specify the object version. </para> </para> </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.FindREKFaceCmdlet"> <summary> Detects faces within an image that is provided as input. <para><code>DetectFaces</code> detects the 100 largest faces in the image. For each face detected, the operation returns face details. These details include a bounding box of the face, a confidence value (that the bounding box contains a face), and a fixed set of attributes such as facial landmarks (for example, coordinates of eye and mouth), gender, presence of beard, sunglasses, and so on. </para><para> 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. </para><para> 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 to call Amazon Rekognition operations, passing image bytes is not supported. The image must be either a PNG or JPEG formatted file. </para><note><para> This is a stateless API operation. That is, the operation does not persist any data. </para></note><para> This operation requires permissions to perform the <code>rekognition:DetectFaces</code> action. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKFaceCmdlet.Attribute"> <summary> <para> <para>An array of facial attributes you want to be returned. This can be the default list of attributes or all attributes. If you don't specify a value for <code>Attributes</code> or if you specify <code>["DEFAULT"]</code>, the API returns the following subset of facial attributes: <code>BoundingBox</code>, <code>Confidence</code>, <code>Pose</code>, <code>Quality</code>, and <code>Landmarks</code>. If you provide <code>["ALL"]</code>, all facial attributes are returned, but the operation takes longer to complete.</para><para>If you provide both, <code>["ALL", "DEFAULT"]</code>, the service uses a logical AND operator to determine which attributes to return (in this case, all attributes). </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKFaceCmdlet.ImageBucket"> <summary> <para> <para>Name of the S3 bucket.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKFaceCmdlet.ImageContent"> <summary> <para> <para>Blob of image bytes up to 5 MBs.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKFaceCmdlet.ImageName"> <summary> <para> <para>S3 object key name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKFaceCmdlet.ImageVersion"> <summary> <para> <para>If the bucket is versioning enabled, you can specify the object version. </para> </para> </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.FindREKLabelCmdlet"> <summary> 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. <para> For an example, see Analyzing Images Stored in an Amazon S3 Bucket in the Amazon Rekognition Developer Guide. </para><note><para><code>DetectLabels</code> 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. </para></note><para> 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. </para><para> 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. </para><para><code>{Name: lighthouse, Confidence: 98.4629}</code></para><para><code>{Name: rock,Confidence: 79.2097}</code></para><para><code> {Name: sea,Confidence: 75.061}</code></para><para> 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. </para><para><code>{Name: flower,Confidence: 99.0562}</code></para><para><code>{Name: plant,Confidence: 99.0562}</code></para><para><code>{Name: tulip,Confidence: 99.0562}</code></para><para> In this example, the detection algorithm more precisely identifies the flower as a tulip. </para><para> In response, the API returns an array of labels. In addition, the response also includes the orientation correction. Optionally, you can specify <code>MinConfidence</code> to control the confidence threshold for the labels returned. The default is 55%. You can also add the <code>MaxLabels</code> parameter to limit the number of labels returned. </para><note><para> If the object detected is a person, the operation doesn't provide the same facial details that the <a>DetectFaces</a> operation provides. </para></note><para><code>DetectLabels</code> returns bounding boxes for instances of common object labels in an array of <a>Instance</a> objects. An <code>Instance</code> object contains a <a>BoundingBox</a> object, for the location of the label on the image. It also includes the confidence by which the bounding box was detected. </para><para><code>DetectLabels</code> also returns a hierarchical taxonomy of detected labels. For example, a detected car might be assigned the label <i>car</i>. The label <i>car</i> has two parent labels: <i>Vehicle</i> (its parent) and <i>Transportation</i> (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, <i>Car</i>, <i>Vehicle</i>, and <i>Transportation</i> are returned as unique labels in the response. </para><para> This is a stateless API operation. That is, the operation does not persist any data. </para><para> This operation requires permissions to perform the <code>rekognition:DetectLabels</code> action. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKLabelCmdlet.ImageBucket"> <summary> <para> <para>Name of the S3 bucket.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKLabelCmdlet.ImageContent"> <summary> <para> <para>Blob of image bytes up to 5 MBs.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKLabelCmdlet.MaxLabel"> <summary> <para> <para>Maximum number of labels you want the service to return in the response. The service returns the specified number of highest confidence labels. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKLabelCmdlet.MinConfidence"> <summary> <para> <para>Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn't return any labels with confidence lower than this specified value.</para><para>If <code>MinConfidence</code> is not specified, the operation returns labels with a confidence values greater than or equal to 55 percent.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKLabelCmdlet.ImageName"> <summary> <para> <para>S3 object key name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKLabelCmdlet.ImageVersion"> <summary> <para> <para>If the bucket is versioning enabled, you can specify the object version. </para> </para> </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.FindREKModerationLabelCmdlet"> <summary> Detects explicit or suggestive adult content in a specified JPEG or PNG format image. Use <code>DetectModerationLabels</code> to moderate images depending on your requirements. For example, you might want to filter images that contain nudity, but not images containing suggestive content. <para> To filter images, use the labels returned by <code>DetectModerationLabels</code> to determine which types of content are appropriate. </para><para> For information about moderation labels, see Detecting Unsafe Content in the Amazon Rekognition Developer Guide. </para><para> 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. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKModerationLabelCmdlet.S3Object_Bucket"> <summary> <para> <para>Name of the S3 bucket.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKModerationLabelCmdlet.Image_Byte"> <summary> <para> <para>Blob of image bytes up to 5 MBs.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKModerationLabelCmdlet.MinConfidence"> <summary> <para> <para>Specifies the minimum confidence level for the labels to return. Amazon Rekognition doesn't return any labels with a confidence level lower than this specified value.</para><para>If you don't specify <code>MinConfidence</code>, the operation returns labels with confidence values greater than or equal to 50 percent.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKModerationLabelCmdlet.S3Object_Name"> <summary> <para> <para>S3 object key name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKModerationLabelCmdlet.S3Object_Version"> <summary> <para> <para>If the bucket is versioning enabled, you can specify the object version. </para> </para> </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.FindREKTextCmdlet"> <summary> Detects text in the input image and converts it into machine-readable text. <para> 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. </para><para> The <code>DetectText</code> operation returns text in an array of <a>TextDetection</a> elements, <code>TextDetections</code>. Each <code>TextDetection</code> element provides information about a single word or line of text that was detected in the image. </para><para> A word is one or more ISO basic latin script characters that are not separated by spaces. <code>DetectText</code> can detect up to 50 words in an image. </para><para> 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 <code>DetectText</code> operation returns multiple lines. </para><para> To determine whether a <code>TextDetection</code> element is a line of text or a word, use the <code>TextDetection</code> object <code>Type</code> field. </para><para> To be detected, text must be within +/- 90 degrees orientation of the horizontal axis. </para><para> For more information, see DetectText in the Amazon Rekognition Developer Guide. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKTextCmdlet.ImageBucket"> <summary> <para> <para>Name of the S3 bucket.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKTextCmdlet.ImageContent"> <summary> <para> <para>Blob of image bytes up to 5 MBs.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKTextCmdlet.ImageName"> <summary> <para> <para>S3 object key name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.FindREKTextCmdlet.ImageVersion"> <summary> <para> <para>If the bucket is versioning enabled, you can specify the object version. </para> </para> </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.GetREKCelebrityInfoCmdlet"> <summary> 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. <para> For more information, see Recognizing Celebrities in an Image in the Amazon Rekognition Developer Guide. </para><para> This operation requires permissions to perform the <code>rekognition:GetCelebrityInfo</code> action. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKCelebrityInfoCmdlet.Id"> <summary> <para> <para>The ID for the celebrity. You get the celebrity ID from a call to the <a>RecognizeCelebrities</a> operation, which recognizes celebrities in an image. </para> </para> </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.GetREKCelebrityRecognitionCmdlet"> <summary> Gets the celebrity recognition results for a Amazon Rekognition Video analysis started by <a>StartCelebrityRecognition</a>. <para> Celebrity recognition in a video is an asynchronous operation. Analysis is started by a call to <a>StartCelebrityRecognition</a> which returns a job identifier (<code>JobId</code>). 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 <code>StartCelebrityRecognition</code>. To get the results of the celebrity recognition analysis, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. If so, call <code>GetCelebrityDetection</code> and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartCelebrityDetection</code>. </para><para> For more information, see Working With Stored Videos in the Amazon Rekognition Developer Guide. </para><para><code>GetCelebrityRecognition</code> returns detected celebrities and the time(s) they are detected in an array (<code>Celebrities</code>) of <a>CelebrityRecognition</a> objects. Each <code>CelebrityRecognition</code> contains information about the celebrity in a <a>CelebrityDetail</a> object and the time, <code>Timestamp</code>, the celebrity was detected. </para><note><para><code>GetCelebrityRecognition</code> only returns the default facial attributes (<code>BoundingBox</code>, <code>Confidence</code>, <code>Landmarks</code>, <code>Pose</code>, and <code>Quality</code>). The other facial attributes listed in the <code>Face</code> object of the following response syntax are not returned. For more information, see FaceDetail in the Amazon Rekognition Developer Guide. </para></note><para> By default, the <code>Celebrities</code> array is sorted by time (milliseconds from the start of the video). You can also sort the array by celebrity by specifying the value <code>ID</code> in the <code>SortBy</code> input parameter. </para><para> The <code>CelebrityDetail</code> 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 <a>GetCelebrityInfo</a> with the celebrity identifer. </para><para> No information is returned for faces not recognized as celebrities. </para><para> Use MaxResults parameter to limit the number of labels returned. If there are more results than specified in <code>MaxResults</code>, the value of <code>NextToken</code> in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call <code>GetCelebrityDetection</code> and populate the <code>NextToken</code> request parameter with the token value returned from the previous call to <code>GetCelebrityRecognition</code>. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKCelebrityRecognitionCmdlet.JobId"> <summary> <para> <para>Job identifier for the required celebrity recognition analysis. You can get the job identifer from a call to <code>StartCelebrityRecognition</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKCelebrityRecognitionCmdlet.SortBy"> <summary> <para> <para>Sort to use for celebrities returned in <code>Celebrities</code> field. Specify <code>ID</code> to sort by the celebrity identifier, specify <code>TIMESTAMP</code> to sort by the time the celebrity was recognized.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKCelebrityRecognitionCmdlet.MaxResult"> <summary> <para> <para>Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKCelebrityRecognitionCmdlet.NextToken"> <summary> <para> <para>If the previous response was incomplete (because there is more recognized celebrities to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of celebrities. </para> </para> </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.GetREKCollectionCmdlet"> <summary> Describes the specified collection. You can use <code>DescribeCollection</code> to get information, such as the number of faces indexed into a collection and the version of the model used by the collection for face detection. <para> For more information, see Describing a Collection in the Amazon Rekognition Developer Guide. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKCollectionCmdlet.CollectionId"> <summary> <para> <para>The ID of the collection to describe.</para> </para> </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.GetREKCollectionIdListCmdlet"> <summary> Returns list of collection IDs in your account. If the result is truncated, the response also provides a <code>NextToken</code> that you can use in the subsequent request to fetch the next set of collection IDs. <para> For an example, see Listing Collections in the Amazon Rekognition Developer Guide. </para><para> This operation requires permissions to perform the <code>rekognition:ListCollections</code> action. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKCollectionIdListCmdlet.MaxResult"> <summary> <para> <para>Maximum number of collection IDs to return. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKCollectionIdListCmdlet.NextToken"> <summary> <para> <para>Pagination token from the previous response.</para> </para> </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.GetREKContentModerationCmdlet"> <summary> Gets the content moderation analysis results for a Amazon Rekognition Video analysis started by <a>StartContentModeration</a>. <para> Content moderation analysis of a video is an asynchronous operation. You start analysis by calling <a>StartContentModeration</a> which returns a job identifier (<code>JobId</code>). When analysis finishes, Amazon Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic registered in the initial call to <code>StartContentModeration</code>. To get the results of the content moderation analysis, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. If so, call <code>GetContentModeration</code> and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartContentModeration</code>. </para><para> For more information, see Working with Stored Videos in the Amazon Rekognition Devlopers Guide. </para><para><code>GetContentModeration</code> returns detected content moderation labels, and the time they are detected, in an array, <code>ModerationLabels</code>, of <a>ContentModerationDetection</a> objects. </para><para> 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 <code>NAME</code> for the <code>SortBy</code> input parameter. </para><para> Since video analysis can return a large number of results, use the <code>MaxResults</code> parameter to limit the number of labels returned in a single call to <code>GetContentModeration</code>. If there are more results than specified in <code>MaxResults</code>, the value of <code>NextToken</code> in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call <code>GetContentModeration</code> and populate the <code>NextToken</code> request parameter with the value of <code>NextToken</code> returned from the previous call to <code>GetContentModeration</code>. </para><para> For more information, see Detecting Unsafe Content in the Amazon Rekognition Developer Guide. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKContentModerationCmdlet.JobId"> <summary> <para> <para>The identifier for the content moderation job. Use <code>JobId</code> to identify the job in a subsequent call to <code>GetContentModeration</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKContentModerationCmdlet.SortBy"> <summary> <para> <para>Sort to use for elements in the <code>ModerationLabelDetections</code> array. Use <code>TIMESTAMP</code> to sort array elements by the time labels are detected. Use <code>NAME</code> to alphabetically group elements for a label together. Within each label group, the array element are sorted by detection confidence. The default sort is by <code>TIMESTAMP</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKContentModerationCmdlet.MaxResult"> <summary> <para> <para>Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKContentModerationCmdlet.NextToken"> <summary> <para> <para>If the previous response was incomplete (because there is more data to retrieve), Amazon Rekognition returns a pagination token in the response. You can use this pagination token to retrieve the next set of content moderation labels.</para> </para> </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.GetREKFaceDetectionCmdlet"> <summary> Gets face detection results for a Amazon Rekognition Video analysis started by <a>StartFaceDetection</a>. <para> Face detection with Amazon Rekognition Video is an asynchronous operation. You start face detection by calling <a>StartFaceDetection</a> which returns a job identifier (<code>JobId</code>). 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 <code>StartFaceDetection</code>. To get the results of the face detection operation, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. If so, call <a>GetFaceDetection</a> and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartFaceDetection</code>. </para><para><code>GetFaceDetection</code> returns an array of detected faces (<code>Faces</code>) sorted by the time the faces were detected. </para><para> Use MaxResults parameter to limit the number of labels returned. If there are more results than specified in <code>MaxResults</code>, the value of <code>NextToken</code> in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call <code>GetFaceDetection</code> and populate the <code>NextToken</code> request parameter with the token value returned from the previous call to <code>GetFaceDetection</code>. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKFaceDetectionCmdlet.JobId"> <summary> <para> <para>Unique identifier for the face detection job. The <code>JobId</code> is returned from <code>StartFaceDetection</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKFaceDetectionCmdlet.MaxResult"> <summary> <para> <para>Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKFaceDetectionCmdlet.NextToken"> <summary> <para> <para>If the previous response was incomplete (because there are more faces to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of faces.</para> </para> </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.GetREKFaceListCmdlet"> <summary> 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. <para> This operation requires permissions to perform the <code>rekognition:ListFaces</code> action. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKFaceListCmdlet.CollectionId"> <summary> <para> <para>ID of the collection from which to list the faces.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKFaceListCmdlet.MaxResult"> <summary> <para> <para>Maximum number of faces to return.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKFaceListCmdlet.NextToken"> <summary> <para> <para>If the previous response was incomplete (because there is more data to retrieve), Amazon Rekognition returns a pagination token in the response. You can use this pagination token to retrieve the next set of faces.</para> </para> </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.GetREKFaceSearchCmdlet"> <summary> Gets the face search results for Amazon Rekognition Video face search started by <a>StartFaceSearch</a>. 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. <para> Face search in a video is an asynchronous operation. You start face search by calling to <a>StartFaceSearch</a> which returns a job identifier (<code>JobId</code>). 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 <code>StartFaceSearch</code>. To get the search results, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. If so, call <code>GetFaceSearch</code> and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartFaceSearch</code>. </para><para> For more information, see Searching Faces in a Collection in the Amazon Rekognition Developer Guide. </para><para> The search results are retured in an array, <code>Persons</code>, of <a>PersonMatch</a> objects. Each<code>PersonMatch</code> 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. </para><note><para><code>GetFaceSearch</code> only returns the default facial attributes (<code>BoundingBox</code>, <code>Confidence</code>, <code>Landmarks</code>, <code>Pose</code>, and <code>Quality</code>). The other facial attributes listed in the <code>Face</code> object of the following response syntax are not returned. For more information, see FaceDetail in the Amazon Rekognition Developer Guide. </para></note><para> By default, the <code>Persons</code> 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 <code>INDEX</code> for the <code>SORTBY</code> input parameter. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKFaceSearchCmdlet.JobId"> <summary> <para> <para>The job identifer for the search request. You get the job identifier from an initial call to <code>StartFaceSearch</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKFaceSearchCmdlet.SortBy"> <summary> <para> <para>Sort to use for grouping faces in the response. Use <code>TIMESTAMP</code> to group faces by the time that they are recognized. Use <code>INDEX</code> to sort by recognized faces. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKFaceSearchCmdlet.MaxResult"> <summary> <para> <para>Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKFaceSearchCmdlet.NextToken"> <summary> <para> <para>If the previous response was incomplete (because there is more search results to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of search results. </para> </para> </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.GetREKLabelDetectionCmdlet"> <summary> Gets the label detection results of a Amazon Rekognition Video analysis started by <a>StartLabelDetection</a>. <para> The label detection operation is started by a call to <a>StartLabelDetection</a> which returns a job identifier (<code>JobId</code>). 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 <code>StartlabelDetection</code>. To get the results of the label detection operation, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. If so, call <a>GetLabelDetection</a> and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartLabelDetection</code>. </para><para><code>GetLabelDetection</code> returns an array of detected labels (<code>Labels</code>) sorted by the time the labels were detected. You can also sort by the label name by specifying <code>NAME</code> for the <code>SortBy</code> input parameter. </para><para> 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. </para><para> 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. </para><para> Use MaxResults parameter to limit the number of labels returned. If there are more results than specified in <code>MaxResults</code>, the value of <code>NextToken</code> in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call <code>GetlabelDetection</code> and populate the <code>NextToken</code> request parameter with the token value returned from the previous call to <code>GetLabelDetection</code>. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKLabelDetectionCmdlet.JobId"> <summary> <para> <para>Job identifier for the label detection operation for which you want results returned. You get the job identifer from an initial call to <code>StartlabelDetection</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKLabelDetectionCmdlet.SortBy"> <summary> <para> <para>Sort to use for elements in the <code>Labels</code> array. Use <code>TIMESTAMP</code> to sort array elements by the time labels are detected. Use <code>NAME</code> to alphabetically group elements for a label together. Within each label group, the array element are sorted by detection confidence. The default sort is by <code>TIMESTAMP</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKLabelDetectionCmdlet.MaxResult"> <summary> <para> <para>Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKLabelDetectionCmdlet.NextToken"> <summary> <para> <para>If the previous response was incomplete (because there are more labels to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of labels. </para> </para> </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.GetREKPersonTrackingCmdlet"> <summary> Gets the path tracking results of a Amazon Rekognition Video analysis started by <a>StartPersonTracking</a>. <para> The person path tracking operation is started by a call to <code>StartPersonTracking</code> which returns a job identifier (<code>JobId</code>). When the operation finishes, Amazon Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic registered in the initial call to <code>StartPersonTracking</code>. </para><para> To get the results of the person path tracking operation, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. If so, call <a>GetPersonTracking</a> and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartPersonTracking</code>. </para><para><code>GetPersonTracking</code> returns an array, <code>Persons</code>, of tracked persons and the time(s) their paths were tracked in the video. </para><note><para><code>GetPersonTracking</code> only returns the default facial attributes (<code>BoundingBox</code>, <code>Confidence</code>, <code>Landmarks</code>, <code>Pose</code>, and <code>Quality</code>). The other facial attributes listed in the <code>Face</code> object of the following response syntax are not returned. </para><para> For more information, see FaceDetail in the Amazon Rekognition Developer Guide. </para></note><para> 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 <code>INDEX</code> for the <code>SortBy</code> input parameter. </para><para> Use the <code>MaxResults</code> parameter to limit the number of items returned. If there are more results than specified in <code>MaxResults</code>, the value of <code>NextToken</code> in the operation response contains a pagination token for getting the next set of results. To get the next page of results, call <code>GetPersonTracking</code> and populate the <code>NextToken</code> request parameter with the token value returned from the previous call to <code>GetPersonTracking</code>. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKPersonTrackingCmdlet.JobId"> <summary> <para> <para>The identifier for a job that tracks persons in a video. You get the <code>JobId</code> from a call to <code>StartPersonTracking</code>. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKPersonTrackingCmdlet.SortBy"> <summary> <para> <para>Sort to use for elements in the <code>Persons</code> array. Use <code>TIMESTAMP</code> to sort array elements by the time persons are detected. Use <code>INDEX</code> to sort by the tracked persons. If you sort by <code>INDEX</code>, the array elements for each person are sorted by detection confidence. The default sort is by <code>TIMESTAMP</code>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKPersonTrackingCmdlet.MaxResult"> <summary> <para> <para>Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKPersonTrackingCmdlet.NextToken"> <summary> <para> <para>If the previous response was incomplete (because there are more persons to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of persons. </para> </para> </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.GetREKStreamProcessorCmdlet"> <summary> Provides information about a stream processor created by <a>CreateStreamProcessor</a>. You can get information about the input and output streams, the input parameters for the face recognition being performed, and the current status of the stream processor. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKStreamProcessorCmdlet.Name"> <summary> <para> <para>Name of the stream processor for which you want information.</para> </para> </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.GetREKStreamProcessorListCmdlet"> <summary> Gets a list of stream processors that you have created with <a>CreateStreamProcessor</a>.<br/><br/>This operation automatically pages all available results to the pipeline - parameters related to iteration are only needed if you want to manually control the paginated output. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKStreamProcessorListCmdlet.MaxResult"> <summary> <para> <para>Maximum number of stream processors you want Amazon Rekognition Video to return in the response. The default is 1000. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.GetREKStreamProcessorListCmdlet.NextToken"> <summary> <para> <para>If the previous response was incomplete (because there are more stream processors to retrieve), Amazon Rekognition Video returns a pagination token in the response. You can use this pagination token to retrieve the next set of stream processors. </para> </para> <para> <br/><b>Note:</b> This parameter is only used if you are manually controlling output pagination of the service API call. <br/>In order to manually control output pagination, assign $null, for the first call, and the value of $AWSHistory.LastServiceResponse.NextToken, for subsequent calls, to this parameter. </para> </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.NewREKCollectionCmdlet"> <summary> Creates a collection in an AWS Region. You can add faces to the collection using the <a>IndexFaces</a> operation. <para> For example, you might create collections, one for each of your application users. A user can then index faces using the <code>IndexFaces</code> operation and persist results in a specific collection. Then, a user can search the collection for faces in the user-specific container. </para><para> When you create a collection, it is associated with the latest version of the face model version. </para><note><para> Collection names are case-sensitive. </para></note><para> This operation requires permissions to perform the <code>rekognition:CreateCollection</code> action. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.NewREKCollectionCmdlet.CollectionId"> <summary> <para> <para>ID for the collection that you are creating.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.NewREKCollectionCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.NewREKStreamProcessorCmdlet"> <summary> Creates an Amazon Rekognition stream processor that you can use to detect and recognize faces in a streaming video. <para> Amazon Rekognition Video is a consumer of live video from Amazon Kinesis Video Streams. Amazon Rekognition Video sends analysis results to Amazon Kinesis Data Streams. </para><para> You provide as input a Kinesis video stream (<code>Input</code>) and a Kinesis data stream (<code>Output</code>) stream. You also specify the face recognition criteria in <code>Settings</code>. For example, the collection containing faces that you want to recognize. Use <code>Name</code> to assign an identifier for the stream processor. You use <code>Name</code> to manage the stream processor. For example, you can start processing the source video by calling <a>StartStreamProcessor</a> with the <code>Name</code> field. </para><para> After you have finished analyzing a streaming video, use <a>StopStreamProcessor</a> to stop processing. You can delete the stream processor by calling <a>DeleteStreamProcessor</a>. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.NewREKStreamProcessorCmdlet.KinesisVideoStream_Arn"> <summary> <para> <para>ARN of the Kinesis video stream stream that streams the source video.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.NewREKStreamProcessorCmdlet.KinesisDataStream_Arn"> <summary> <para> <para>ARN of the output Amazon Kinesis Data Streams stream.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.NewREKStreamProcessorCmdlet.FaceSearch_CollectionId"> <summary> <para> <para>The ID of a collection that contains faces that you want to search for.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.NewREKStreamProcessorCmdlet.FaceSearch_FaceMatchThreshold"> <summary> <para> <para>Minimum face match confidence score that must be met to return a result for a recognized face. Default is 70. 0 is the lowest confidence. 100 is the highest confidence.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.NewREKStreamProcessorCmdlet.Name"> <summary> <para> <para>An identifier you assign to the stream processor. You can use <code>Name</code> to manage the stream processor. For example, you can get the current status of the stream processor by calling <a>DescribeStreamProcessor</a>. <code>Name</code> is idempotent. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.NewREKStreamProcessorCmdlet.RoleArn"> <summary> <para> <para>ARN of the IAM role that allows access to the stream processor.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.NewREKStreamProcessorCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.RemoveREKCollectionCmdlet"> <summary> Deletes the specified collection. Note that this operation removes all faces in the collection. For an example, see <a>delete-collection-procedure</a>. <para> This operation requires permissions to perform the <code>rekognition:DeleteCollection</code> action. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.RemoveREKCollectionCmdlet.CollectionId"> <summary> <para> <para>ID of the collection to delete.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.RemoveREKCollectionCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.RemoveREKFaceCmdlet"> <summary> Deletes faces from a collection. You specify a collection ID and an array of face IDs to remove from the collection. <para> This operation requires permissions to perform the <code>rekognition:DeleteFaces</code> action. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.RemoveREKFaceCmdlet.CollectionId"> <summary> <para> <para>Collection from which to remove the specific faces.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.RemoveREKFaceCmdlet.FaceId"> <summary> <para> <para>An array of face IDs to delete.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.RemoveREKFaceCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.RemoveREKStreamProcessorCmdlet"> <summary> Deletes the stream processor identified by <code>Name</code>. You assign the value for <code>Name</code> when you create the stream processor with <a>CreateStreamProcessor</a>. You might not be able to use the same name for a stream processor for a few seconds after calling <code>DeleteStreamProcessor</code>. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.RemoveREKStreamProcessorCmdlet.Name"> <summary> <para> <para>The name of the stream processor you want to delete.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.RemoveREKStreamProcessorCmdlet.PassThru"> <summary> Returns the value passed to the Name parameter. By default, this cmdlet does not generate any output. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.RemoveREKStreamProcessorCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.SearchREKFaceCmdlet"> <summary> 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 <a>IndexFaces</a> operation. The operation compares the features of the input face with faces in the specified collection. <note><para> You can also search faces without indexing faces by using the <code>SearchFacesByImage</code> operation. </para></note><para> 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 <code>confidence</code> value for each face match, indicating the confidence that the specific face matches the input face. </para><para> For an example, see Searching for a Face Using Its Face ID in the Amazon Rekognition Developer Guide. </para><para> This operation requires permissions to perform the <code>rekognition:SearchFaces</code> action. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.SearchREKFaceCmdlet.CollectionId"> <summary> <para> <para>ID of the collection the face belongs to.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.SearchREKFaceCmdlet.FaceId"> <summary> <para> <para>ID of a face to find matches for in the collection.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.SearchREKFaceCmdlet.FaceMatchThreshold"> <summary> <para> <para>Optional value specifying the minimum confidence in the face match to return. For example, don't return any matches where confidence in matches is less than 70%.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.SearchREKFaceCmdlet.MaxFace"> <summary> <para> <para>Maximum number of faces to return. The operation returns the maximum number of faces with the highest confidence in the match.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.SearchREKFaceCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.SearchREKFacesByImageCmdlet"> <summary> 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. <note><para> To search for all faces in an input image, you might first call the <a>IndexFaces</a> operation, and then use the face IDs returned in subsequent calls to the <a>SearchFaces</a> operation. </para><para> You can also call the <code>DetectFaces</code> operation and use the bounding boxes in the response to make face crops, which then you can pass in to the <code>SearchFacesByImage</code> operation. </para></note><para> 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. </para><para> The 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 found. Along with the metadata, the response also includes a <code>similarity</code> indicating how similar the face is to the input face. In the response, the operation also returns the bounding box (and a confidence level that the bounding box contains a face) of the face that Amazon Rekognition used for the input image. </para><para> For an example, Searching for a Face Using an Image in the Amazon Rekognition Developer Guide. </para><para> This operation requires permissions to perform the <code>rekognition:SearchFacesByImage</code> action. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.SearchREKFacesByImageCmdlet.ImageBucket"> <summary> <para> <para>Name of the S3 bucket.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.SearchREKFacesByImageCmdlet.ImageContent"> <summary> <para> <para>Blob of image bytes up to 5 MBs.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.SearchREKFacesByImageCmdlet.CollectionId"> <summary> <para> <para>ID of the collection to search.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.SearchREKFacesByImageCmdlet.FaceMatchThreshold"> <summary> <para> <para>(Optional) Specifies the minimum confidence in the face match to return. For example, don't return any matches where confidence in matches is less than 70%.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.SearchREKFacesByImageCmdlet.MaxFace"> <summary> <para> <para>Maximum number of faces to return. The operation returns the maximum number of faces with the highest confidence in the match.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.SearchREKFacesByImageCmdlet.ImageName"> <summary> <para> <para>S3 object key name.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.SearchREKFacesByImageCmdlet.ImageVersion"> <summary> <para> <para>If the bucket is versioning enabled, you can specify the object version. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.SearchREKFacesByImageCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.StartREKCelebrityRecognitionCmdlet"> <summary> Starts asynchronous recognition of celebrities in a stored video. <para> Amazon Rekognition Video can detect celebrities in a video must be stored in an Amazon S3 bucket. Use <a>Video</a> to specify the bucket name and the filename of the video. <code>StartCelebrityRecognition</code> returns a job identifier (<code>JobId</code>) 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 <code>NotificationChannel</code>. To get the results of the celebrity recognition analysis, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. If so, call <a>GetCelebrityRecognition</a> and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartCelebrityRecognition</code>. </para><para> For more information, see Recognizing Celebrities in the Amazon Rekognition Developer Guide. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKCelebrityRecognitionCmdlet.ClientRequestToken"> <summary> <para> <para>Idempotent token used to identify the start request. If you use the same token with multiple <code>StartCelebrityRecognition</code> requests, the same <code>JobId</code> is returned. Use <code>ClientRequestToken</code> to prevent the same job from being accidently started more than once. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKCelebrityRecognitionCmdlet.JobTag"> <summary> <para> <para>Unique identifier you specify to identify the job in the completion status published to the Amazon Simple Notification Service topic. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKCelebrityRecognitionCmdlet.NotificationChannel_RoleArn"> <summary> <para> <para>The ARN of an IAM role that gives Amazon Rekognition publishing permissions to the Amazon SNS topic. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKCelebrityRecognitionCmdlet.NotificationChannel_SNSTopicArn"> <summary> <para> <para>The Amazon SNS topic to which Amazon Rekognition to posts the completion status.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKCelebrityRecognitionCmdlet.Video"> <summary> <para> <para>The video in which you want to recognize celebrities. The video must be stored in an Amazon S3 bucket.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKCelebrityRecognitionCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.StartREKContentModerationCmdlet"> <summary> Starts asynchronous detection of explicit or suggestive adult content in a stored video. <para> Amazon Rekognition Video can moderate content in a video stored in an Amazon S3 bucket. Use <a>Video</a> to specify the bucket name and the filename of the video. <code>StartContentModeration</code> returns a job identifier (<code>JobId</code>) 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 <code>NotificationChannel</code>. </para><para> To get the results of the content moderation analysis, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. If so, call <a>GetContentModeration</a> and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartContentModeration</code>. </para><para> For more information, see Detecting Unsafe Content in the Amazon Rekognition Developer Guide. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKContentModerationCmdlet.ClientRequestToken"> <summary> <para> <para>Idempotent token used to identify the start request. If you use the same token with multiple <code>StartContentModeration</code> requests, the same <code>JobId</code> is returned. Use <code>ClientRequestToken</code> to prevent the same job from being accidently started more than once. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKContentModerationCmdlet.JobTag"> <summary> <para> <para>Unique identifier you specify to identify the job in the completion status published to the Amazon Simple Notification Service topic. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKContentModerationCmdlet.MinConfidence"> <summary> <para> <para>Specifies the minimum confidence that Amazon Rekognition must have in order to return a moderated content label. Confidence represents how certain Amazon Rekognition is that the moderated content is correctly identified. 0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition doesn't return any moderated content labels with a confidence level lower than this specified value. If you don't specify <code>MinConfidence</code>, <code>GetContentModeration</code> returns labels with confidence values greater than or equal to 50 percent.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKContentModerationCmdlet.NotificationChannel_RoleArn"> <summary> <para> <para>The ARN of an IAM role that gives Amazon Rekognition publishing permissions to the Amazon SNS topic. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKContentModerationCmdlet.NotificationChannel_SNSTopicArn"> <summary> <para> <para>The Amazon SNS topic to which Amazon Rekognition to posts the completion status.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKContentModerationCmdlet.Video"> <summary> <para> <para>The video in which you want to moderate content. The video must be stored in an Amazon S3 bucket.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKContentModerationCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.StartREKFaceDetectionCmdlet"> <summary> Starts asynchronous detection of faces in a stored video. <para> Amazon Rekognition Video can detect faces in a video stored in an Amazon S3 bucket. Use <a>Video</a> to specify the bucket name and the filename of the video. <code>StartFaceDetection</code> returns a job identifier (<code>JobId</code>) 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 <code>NotificationChannel</code>. To get the results of the face detection operation, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. If so, call <a>GetFaceDetection</a> and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartFaceDetection</code>. </para><para> For more information, see Detecting Faces in a Stored Video in the Amazon Rekognition Developer Guide. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKFaceDetectionCmdlet.ClientRequestToken"> <summary> <para> <para>Idempotent token used to identify the start request. If you use the same token with multiple <code>StartFaceDetection</code> requests, the same <code>JobId</code> is returned. Use <code>ClientRequestToken</code> to prevent the same job from being accidently started more than once. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKFaceDetectionCmdlet.FaceAttribute"> <summary> <para> <para>The face attributes you want returned.</para><para><code>DEFAULT</code> - The following subset of facial attributes are returned: BoundingBox, Confidence, Pose, Quality and Landmarks. </para><para><code>ALL</code> - All facial attributes are returned.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKFaceDetectionCmdlet.JobTag"> <summary> <para> <para>Unique identifier you specify to identify the job in the completion status published to the Amazon Simple Notification Service topic. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKFaceDetectionCmdlet.NotificationChannel_RoleArn"> <summary> <para> <para>The ARN of an IAM role that gives Amazon Rekognition publishing permissions to the Amazon SNS topic. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKFaceDetectionCmdlet.NotificationChannel_SNSTopicArn"> <summary> <para> <para>The Amazon SNS topic to which Amazon Rekognition to posts the completion status.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKFaceDetectionCmdlet.Video"> <summary> <para> <para>The video in which you want to detect faces. The video must be stored in an Amazon S3 bucket.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKFaceDetectionCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.StartREKFaceSearchCmdlet"> <summary> Starts the asynchronous search for faces in a collection that match the faces of persons detected in a stored video. <para> The video must be stored in an Amazon S3 bucket. Use <a>Video</a> to specify the bucket name and the filename of the video. <code>StartFaceSearch</code> returns a job identifier (<code>JobId</code>) which you use to get the search results once the search has completed. When searching is finished, Amazon Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic that you specify in <code>NotificationChannel</code>. To get the search results, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. If so, call <a>GetFaceSearch</a> and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartFaceSearch</code>. For more information, see <a>procedure-person-search-videos</a>. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKFaceSearchCmdlet.ClientRequestToken"> <summary> <para> <para>Idempotent token used to identify the start request. If you use the same token with multiple <code>StartFaceSearch</code> requests, the same <code>JobId</code> is returned. Use <code>ClientRequestToken</code> to prevent the same job from being accidently started more than once. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKFaceSearchCmdlet.CollectionId"> <summary> <para> <para>ID of the collection that contains the faces you want to search for.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKFaceSearchCmdlet.FaceMatchThreshold"> <summary> <para> <para>The minimum confidence in the person match to return. For example, don't return any matches where confidence in matches is less than 70%. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKFaceSearchCmdlet.JobTag"> <summary> <para> <para>Unique identifier you specify to identify the job in the completion status published to the Amazon Simple Notification Service topic. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKFaceSearchCmdlet.NotificationChannel_RoleArn"> <summary> <para> <para>The ARN of an IAM role that gives Amazon Rekognition publishing permissions to the Amazon SNS topic. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKFaceSearchCmdlet.NotificationChannel_SNSTopicArn"> <summary> <para> <para>The Amazon SNS topic to which Amazon Rekognition to posts the completion status.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKFaceSearchCmdlet.Video"> <summary> <para> <para>The video you want to search. The video must be stored in an Amazon S3 bucket. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKFaceSearchCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.StartREKLabelDetectionCmdlet"> <summary> Starts asynchronous detection of labels in a stored video. <para> Amazon Rekognition Video can detect labels in a video. Labels are instances of real-world entities. This includes objects like flower, tree, and table; events like wedding, graduation, and birthday party; concepts like landscape, evening, and nature; and activities like a person getting out of a car or a person skiing. </para><para> The video must be stored in an Amazon S3 bucket. Use <a>Video</a> to specify the bucket name and the filename of the video. <code>StartLabelDetection</code> returns a job identifier (<code>JobId</code>) which you use to get the results of the operation. When label detection is finished, Amazon Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic that you specify in <code>NotificationChannel</code>. </para><para> To get the results of the label detection operation, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. If so, call <a>GetLabelDetection</a> and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartLabelDetection</code>. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKLabelDetectionCmdlet.ClientRequestToken"> <summary> <para> <para>Idempotent token used to identify the start request. If you use the same token with multiple <code>StartLabelDetection</code> requests, the same <code>JobId</code> is returned. Use <code>ClientRequestToken</code> to prevent the same job from being accidently started more than once. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKLabelDetectionCmdlet.JobTag"> <summary> <para> <para>Unique identifier you specify to identify the job in the completion status published to the Amazon Simple Notification Service topic. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKLabelDetectionCmdlet.MinConfidence"> <summary> <para> <para>Specifies the minimum confidence that Amazon Rekognition Video must have in order to return a detected label. Confidence represents how certain Amazon Rekognition is that a label is correctly identified.0 is the lowest confidence. 100 is the highest confidence. Amazon Rekognition Video doesn't return any labels with a confidence level lower than this specified value.</para><para>If you don't specify <code>MinConfidence</code>, the operation returns labels with confidence values greater than or equal to 50 percent.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKLabelDetectionCmdlet.NotificationChannel_RoleArn"> <summary> <para> <para>The ARN of an IAM role that gives Amazon Rekognition publishing permissions to the Amazon SNS topic. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKLabelDetectionCmdlet.NotificationChannel_SNSTopicArn"> <summary> <para> <para>The Amazon SNS topic to which Amazon Rekognition to posts the completion status.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKLabelDetectionCmdlet.Video"> <summary> <para> <para>The video in which you want to detect labels. The video must be stored in an Amazon S3 bucket.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKLabelDetectionCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.StartREKPersonTrackingCmdlet"> <summary> Starts the asynchronous tracking of a person's path in a stored video. <para> Amazon Rekognition Video can track the path of people in a video stored in an Amazon S3 bucket. Use <a>Video</a> to specify the bucket name and the filename of the video. <code>StartPersonTracking</code> returns a job identifier (<code>JobId</code>) which you use to get the results of the operation. When label detection is finished, Amazon Rekognition publishes a completion status to the Amazon Simple Notification Service topic that you specify in <code>NotificationChannel</code>. </para><para> To get the results of the person detection operation, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. If so, call <a>GetPersonTracking</a> and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartPersonTracking</code>. </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKPersonTrackingCmdlet.ClientRequestToken"> <summary> <para> <para>Idempotent token used to identify the start request. If you use the same token with multiple <code>StartPersonTracking</code> requests, the same <code>JobId</code> is returned. Use <code>ClientRequestToken</code> to prevent the same job from being accidently started more than once. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKPersonTrackingCmdlet.JobTag"> <summary> <para> <para>Unique identifier you specify to identify the job in the completion status published to the Amazon Simple Notification Service topic. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKPersonTrackingCmdlet.NotificationChannel_RoleArn"> <summary> <para> <para>The ARN of an IAM role that gives Amazon Rekognition publishing permissions to the Amazon SNS topic. </para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKPersonTrackingCmdlet.NotificationChannel_SNSTopicArn"> <summary> <para> <para>The Amazon SNS topic to which Amazon Rekognition to posts the completion status.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKPersonTrackingCmdlet.Video"> <summary> <para> <para>The video in which you want to detect people. The video must be stored in an Amazon S3 bucket.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKPersonTrackingCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.StartREKStreamProcessorCmdlet"> <summary> Starts processing a stream processor. You create a stream processor by calling <a>CreateStreamProcessor</a>. To tell <code>StartStreamProcessor</code> which stream processor to start, use the value of the <code>Name</code> field specified in the call to <code>CreateStreamProcessor</code>. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKStreamProcessorCmdlet.Name"> <summary> <para> <para>The name of the stream processor to start processing.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKStreamProcessorCmdlet.PassThru"> <summary> Returns the value passed to the Name parameter. By default, this cmdlet does not generate any output. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StartREKStreamProcessorCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> <member name="T:Amazon.PowerShell.Cmdlets.REK.StopREKStreamProcessorCmdlet"> <summary> Stops a running stream processor that was created by <a>CreateStreamProcessor</a>. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StopREKStreamProcessorCmdlet.Name"> <summary> <para> <para>The name of a stream processor created by <a>CreateStreamProcessor</a>.</para> </para> </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StopREKStreamProcessorCmdlet.PassThru"> <summary> Returns the value passed to the Name parameter. By default, this cmdlet does not generate any output. </summary> </member> <member name="P:Amazon.PowerShell.Cmdlets.REK.StopREKStreamProcessorCmdlet.Force"> <summary> This parameter overrides confirmation prompts to force the cmdlet to continue its operation. This parameter should always be used with caution. </summary> </member> </members> </doc> |