vendor: update all dependencies
* Update all dependencies * Remove all `[[constraint]]` from Gopkg.toml * Add in the minimum number of `[[override]]` to build * Remove go get of github.com/inconshreveable/mousetrap as it is vendored * Update docs with new policy on constraints
This commit is contained in:
Nick Craig-Wood
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21383877df
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4902 changed files with 1443417 additions and 227283 deletions
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vendor/github.com/aws/aws-sdk-go/models/apis/rekognition/2016-06-27/docs-2.json
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"DetectModerationLabels": "<p>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.</p> <p>To filter images, use the labels returned by <code>DetectModerationLabels</code> to determine which types of content are appropriate. For information about moderation labels, see <a>moderation</a>.</p> <p>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 Amazon CLI to call Amazon Rekognition operations, passing image bytes is not supported. The image must be either a PNG or JPEG formatted file. </p>",
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"DetectText": "<p>Detects text in the input image and converts it into machine-readable text.</p> <p>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. </p> <p>The <code>DetectText</code> operation returns text in an array of 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. </p> <p>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.</p> <p>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.</p> <p>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. </p> <p>To be detected, text must be within +/- 30 degrees orientation of the horizontal axis.</p> <p>For more information, see <a>text-detection</a>.</p>",
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"GetCelebrityInfo": "<p>Gets the name and additional information about a celebrity based on his or her 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 <a>get-celebrity-info-procedure</a>.</p> <p>This operation requires permissions to perform the <code>rekognition:GetCelebrityInfo</code> action. </p>",
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"GetCelebrityRecognition": "<p>Gets the celebrity recognition results for a Rekognition Video analysis started by .</p> <p>Celebrity recognition in a video is an asynchronous operation. Analysis is started by a call to which returns a job identifier (<code>JobId</code>). When the celebrity recognition operation finishes, 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>. For more information, see <a>video</a>.</p> <p> <code>GetCelebrityRecognition</code> returns detected celebrities and the time(s) they are detected in an array (<code>Celebrities</code>) of objects. Each <code>CelebrityRecognition</code> contains information about the celebrity in a object and the time, <code>Timestamp</code>, the celebrity was detected. </p> <p>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.</p> <p>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 with the celebrity identifer.</p> <p>No information is returned for faces not recognized as celebrities.</p> <p>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>.</p>",
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"GetCelebrityRecognition": "<p>Gets the celebrity recognition results for a Rekognition Video analysis started by .</p> <p>Celebrity recognition in a video is an asynchronous operation. Analysis is started by a call to which returns a job identifier (<code>JobId</code>). When the celebrity recognition operation finishes, 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>. For more information, see <a>video</a>.</p> <p> <code>GetCelebrityRecognition</code> returns detected celebrities and the time(s) they are detected in an array (<code>Celebrities</code>) of objects. Each <code>CelebrityRecognition</code> contains information about the celebrity in a object and the time, <code>Timestamp</code>, the celebrity was detected. </p> <note> <p> <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 . </p> </note> <p>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.</p> <p>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 with the celebrity identifer.</p> <p>No information is returned for faces not recognized as celebrities.</p> <p>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>.</p>",
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"GetContentModeration": "<p>Gets the content moderation analysis results for a Rekognition Video analysis started by .</p> <p>Content moderation analysis of a video is an asynchronous operation. You start analysis by calling . which returns a job identifier (<code>JobId</code>). When analysis finishes, 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>GetCelebrityDetection</code> and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartCelebrityDetection</code>. For more information, see <a>video</a>. </p> <p> <code>GetContentModeration</code> returns detected content moderation labels, and the time they are detected, in an array, <code>ModerationLabels</code>, of objects. </p> <p>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. </p> <p>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>.</p> <p>For more information, see <a>moderation</a>.</p>",
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"GetFaceDetection": "<p>Gets face detection results for a Rekognition Video analysis started by .</p> <p>Face detection with Rekognition Video is an asynchronous operation. You start face detection by calling which returns a job identifier (<code>JobId</code>). When the face detection operation finishes, 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 and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartFaceDetection</code>.</p> <p> <code>GetFaceDetection</code> returns an array of detected faces (<code>Faces</code>) sorted by the time the faces were detected. </p> <p>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>.</p>",
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"GetFaceSearch": "<p>Gets the face search results for Rekognition Video face search started by . 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.</p> <p>Face search in a video is an asynchronous operation. You start face search by calling to which returns a job identifier (<code>JobId</code>). When the search operation finishes, 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>. For more information, see <a>collections</a>.</p> <p>The search results are retured in an array, <code>Persons</code>, of objects. Each<code>PersonMatch</code> element contains details about the matching faces in the input collection, person information for the matched person, and the time the person was matched in the video.</p> <p>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.</p>",
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"GetFaceSearch": "<p>Gets the face search results for Rekognition Video face search started by . 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.</p> <p>Face search in a video is an asynchronous operation. You start face search by calling to which returns a job identifier (<code>JobId</code>). When the search operation finishes, 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>. For more information, see <a>collections</a>.</p> <p>The search results are retured in an array, <code>Persons</code>, of 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.</p> <note> <p> <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 . </p> </note> <p>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.</p>",
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"GetLabelDetection": "<p>Gets the label detection results of a Rekognition Video analysis started by . </p> <p>The label detection operation is started by a call to 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 and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartLabelDetection</code>.</p> <p> <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.</p> <p>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.</p> <p>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>.</p>",
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"GetPersonTracking": "<p>Gets the person tracking results of a Rekognition Video analysis started by .</p> <p>The person detection operation is started by a call to <code>StartPersonTracking</code> which returns a job identifier (<code>JobId</code>). When the person detection operation finishes, Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic registered in the initial call to <code>StartPersonTracking</code>.</p> <p>To get the results of the person tracking operation, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. If so, call and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartPersonTracking</code>.</p> <p> <code>GetPersonTracking</code> returns an array, <code>Persons</code>, of tracked persons and the time(s) they were tracked in the video. </p> <p>By default, the array is sorted by the time(s) a person is tracked in the video. You can sort by tracked persons by specifying <code>INDEX</code> for the <code>SortBy</code> input parameter.</p> <p>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>.</p>",
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"GetPersonTracking": "<p>Gets the person tracking results of a Rekognition Video analysis started by .</p> <p>The person detection operation is started by a call to <code>StartPersonTracking</code> which returns a job identifier (<code>JobId</code>). When the person detection operation finishes, Rekognition Video publishes a completion status to the Amazon Simple Notification Service topic registered in the initial call to <code>StartPersonTracking</code>.</p> <p>To get the results of the person tracking operation, first check that the status value published to the Amazon SNS topic is <code>SUCCEEDED</code>. If so, call and pass the job identifier (<code>JobId</code>) from the initial call to <code>StartPersonTracking</code>.</p> <p> <code>GetPersonTracking</code> returns an array, <code>Persons</code>, of tracked persons and the time(s) they were tracked in the video. </p> <note> <p> <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. For more information, see . </p> </note> <p>By default, the array is sorted by the time(s) a person is tracked in the video. You can sort by tracked persons by specifying <code>INDEX</code> for the <code>SortBy</code> input parameter.</p> <p>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>.</p>",
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"IndexFaces": "<p>Detects faces in the input image and adds them to the specified collection. </p> <p>Amazon Rekognition does not save the actual faces detected. Instead, the underlying detection algorithm first detects the faces in the input image, and for each face extracts facial features into a feature vector, and stores it in the back-end database. Amazon Rekognition uses feature vectors when performing face match and search operations using the and operations.</p> <p>If you are 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. To determine which version of the model you are using, check the the value of <code>FaceModelVersion</code> in the response from <code>IndexFaces</code>. For more information, see <a>face-detection-model</a>.</p> <p>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 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. </p> <p>In response, the operation returns an array of metadata for all detected faces. This includes, the bounding box of the detected face, confidence value (indicating the bounding box contains a face), a face ID assigned by the service for each face that is detected and stored, and an image ID assigned by the service for the input image. If you request all facial attributes (using the <code>detectionAttributes</code> parameter, Amazon Rekognition returns detailed facial attributes such as facial landmarks (for example, location of eye and mount) and other facial attributes such 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. </p> <p>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 Amazon CLI to call Amazon Rekognition operations, passing image bytes is not supported. The image must be either a PNG or JPEG formatted file. </p> <p>This operation requires permissions to perform the <code>rekognition:IndexFaces</code> action.</p>",
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"ListCollections": "<p>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.</p> <p>For an example, see <a>list-collection-procedure</a>.</p> <p>This operation requires permissions to perform the <code>rekognition:ListCollections</code> action.</p>",
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"ListFaces": "<p>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 <a>list-faces-in-collection-procedure</a>. </p> <p>This operation requires permissions to perform the <code>rekognition:ListFaces</code> action.</p>",
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"ComparedFace$BoundingBox": "<p>Bounding box of the face.</p>",
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"ComparedSourceImageFace$BoundingBox": "<p>Bounding box of the face.</p>",
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"Face$BoundingBox": "<p>Bounding box of the face.</p>",
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"FaceDetail$BoundingBox": "<p>Bounding box of the face.</p>",
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"FaceDetail$BoundingBox": "<p>Bounding box of the face. Default attribute.</p>",
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"Geometry$BoundingBox": "<p>An axis-aligned coarse representation of the detected text's location on the image.</p>",
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"PersonDetail$BoundingBox": "<p>Bounding box around the detected person.</p>",
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"SearchFacesByImageResponse$SearchedFaceBoundingBox": "<p>The bounding box around the face in the input image that Amazon Rekognition used for the search.</p>"
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}
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},
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"FaceDetail": {
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"base": "<p>Structure containing attributes of the face that the algorithm detected.</p>",
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"base": "<p>Structure containing attributes of the face that the algorithm detected.</p> <p>A <code>FaceDetail</code> object contains either the default facial attributes or all facial attributes. The default attributes are <code>BoundingBox</code>, <code>Confidence</code>, <code>Landmarks</code>, <code>Pose</code>, and <code>Quality</code>.</p> <p> is the only Rekognition Video stored video operation that can return a <code>FaceDetail</code> object with all attributes. To specify which attributes to return, use the <code>FaceAttributes</code> input parameter for . The following Rekognition Video operations return only the default attributes. The corresponding Start operations don't have a <code>FaceAttributes</code> input parameter.</p> <ul> <li> <p>GetCelebrityRecognition</p> </li> <li> <p>GetPersonTracking</p> </li> <li> <p>GetFaceSearch</p> </li> </ul> <p>The Rekognition Image and operations can return all facial attributes. To specify which attributes to return, use the <code>Attributes</code> input parameter for <code>DetectFaces</code>. For <code>IndexFaces</code>, use the <code>DetectAttributes</code> input parameter.</p>",
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"refs": {
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"CelebrityDetail$Face": "<p>Face details for the recognized celebrity.</p>",
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"FaceDetailList$member": null,
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"base": "<p>Identifies face image brightness and sharpness. </p>",
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"refs": {
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"ComparedFace$Quality": "<p>Identifies face image brightness and sharpness. </p>",
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"FaceDetail$Quality": "<p>Identifies image brightness and sharpness.</p>"
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"FaceDetail$Quality": "<p>Identifies image brightness and sharpness. Default attribute.</p>"
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}
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},
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"ImageTooLargeException": {
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"base": null,
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"refs": {
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"ComparedFace$Landmarks": "<p>An array of facial landmarks.</p>",
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"FaceDetail$Landmarks": "<p>Indicates the location of landmarks on the face.</p>"
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"FaceDetail$Landmarks": "<p>Indicates the location of landmarks on the face. Default attribute.</p>"
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}
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},
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"LimitExceededException": {
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"base": "<p/>",
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"base": "<p>An Amazon Rekognition service limit was exceeded. For example, if you start too many Rekognition Video jobs concurrently, calls to start operations (<code>StartLabelDetection</code>, for example) will raise a <code>LimitExceededException</code> exception (HTTP status code: 400) until the number of concurrently running jobs is below the Amazon Rekognition service limit. </p>",
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"refs": {
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}
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},
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"MaxResults": {
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"base": null,
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"refs": {
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"GetCelebrityRecognitionRequest$MaxResults": "<p>Maximum number of celebrities you want Rekognition Video to return in the response. The default is 1000.</p>",
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"GetContentModerationRequest$MaxResults": "<p>Maximum number of content moderation labels to return. The default is 1000.</p>",
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"GetFaceDetectionRequest$MaxResults": "<p>Maximum number of detected faces to return. The default is 1000.</p>",
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"GetFaceSearchRequest$MaxResults": "<p>Maximum number of search results you want Rekognition Video to return in the response. The default is 1000.</p>",
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"GetLabelDetectionRequest$MaxResults": "<p>Maximum number of labels you want Amazon Rekognition to return in the response. The default is 1000.</p>",
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"GetPersonTrackingRequest$MaxResults": "<p>Maximum number of tracked persons to return. The default is 1000. </p>",
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"GetCelebrityRecognitionRequest$MaxResults": "<p>Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.</p>",
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"GetContentModerationRequest$MaxResults": "<p>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.</p>",
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"GetFaceDetectionRequest$MaxResults": "<p>Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.</p>",
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"GetFaceSearchRequest$MaxResults": "<p>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.</p>",
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"GetLabelDetectionRequest$MaxResults": "<p>Maximum number of results to return per paginated call. The largest value you can specify is 1000. If you specify a value greater than 1000, a maximum of 1000 results is returned. The default value is 1000.</p>",
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"GetPersonTrackingRequest$MaxResults": "<p>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.</p>",
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"ListStreamProcessorsRequest$MaxResults": "<p>Maximum number of stream processors you want Rekognition Video to return in the response. The default is 1000. </p>"
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}
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},
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"EyeOpen$Confidence": "<p>Level of confidence in the determination.</p>",
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"Eyeglasses$Confidence": "<p>Level of confidence in the determination.</p>",
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"Face$Confidence": "<p>Confidence level that the bounding box contains a face (and not a different object such as a tree).</p>",
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"FaceDetail$Confidence": "<p>Confidence level that the bounding box contains a face (and not a different object such as a tree).</p>",
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"FaceDetail$Confidence": "<p>Confidence level that the bounding box contains a face (and not a different object such as a tree). Default attribute.</p>",
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||||
"FaceMatch$Similarity": "<p>Confidence in the match of this face with the input face.</p>",
|
||||
"FaceSearchSettings$FaceMatchThreshold": "<p>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.</p>",
|
||||
"Gender$Confidence": "<p>Level of confidence in the determination.</p>",
|
||||
|
|
@ -962,7 +962,7 @@
|
|||
}
|
||||
},
|
||||
"PersonMatch": {
|
||||
"base": "<p>Information about a person whose face matches a face(s) in a Amazon Rekognition collection. Includes information about the faces in the Amazon Rekognition collection (,information about the person (<a>PersonDetail</a>) and the timestamp for when the person was detected in a video. An array of <code>PersonMatch</code> objects is returned by . </p>",
|
||||
"base": "<p>Information about a person whose face matches a face(s) in a Amazon Rekognition collection. Includes information about the faces in the Amazon Rekognition collection (, information about the person (<a>PersonDetail</a>) and the timestamp for when the person was detected in a video. An array of <code>PersonMatch</code> objects is returned by . </p>",
|
||||
"refs": {
|
||||
"PersonMatches$member": null
|
||||
}
|
||||
|
|
@ -995,7 +995,7 @@
|
|||
"base": "<p>Indicates the pose of the face as determined by its pitch, roll, and yaw.</p>",
|
||||
"refs": {
|
||||
"ComparedFace$Pose": "<p>Indicates the pose of the face as determined by its pitch, roll, and yaw.</p>",
|
||||
"FaceDetail$Pose": "<p>Indicates the pose of the face as determined by its pitch, roll, and yaw.</p>"
|
||||
"FaceDetail$Pose": "<p>Indicates the pose of the face as determined by its pitch, roll, and yaw. Default attribute.</p>"
|
||||
}
|
||||
},
|
||||
"ProvisionedThroughputExceededException": {
|
||||
|
|
|
|||
Loading…
Add table
Add a link
Reference in a new issue