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rekognition Update models to latest #3381

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Aug 11, 2023
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rekognition Update models to latest #3381

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2afa847
feat(aws-android-sdk-rekognition): update models to latest
awsmobilesdk Aug 7, 2023
fd9e319
Merge branch 'main' into models-update-JArekognit20230807cGEWbF2Y576
tylerjroach Aug 11, 2023
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49 changes: 34 additions & 15 deletions ...d-sdk-rekognition/src/main/java/com/amazonaws/services/rekognition/AmazonRekognition.java
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Original file line number Diff line number Diff line change
Expand Up @@ -883,9 +883,9 @@ CreateCollectionResult createCollection(CreateCollectionRequest createCollection
* an existing Amazon Rekognition Custom Labels dataset.
* </p>
* <p>
* To create a training dataset for a project, specify <code>train</code>
* To create a training dataset for a project, specify <code>TRAIN</code>
* for the value of <code>DatasetType</code>. To create the test dataset for
* a project, specify <code>test</code> for the value of
* a project, specify <code>TEST</code> for the value of
* <code>DatasetType</code>.
* </p>
* <p>
Expand Down Expand Up @@ -943,12 +943,18 @@ CreateDatasetResult createDataset(CreateDatasetRequest createDatasetRequest)
* <p>
* This API operation initiates a Face Liveness session. It returns a
* <code>SessionId</code>, which you can use to start streaming Face
* Liveness video and get the results for a Face Liveness session. You can
* use the <code>OutputConfig</code> option in the Settings parameter to
* provide an Amazon S3 bucket location. The Amazon S3 bucket stores
* reference images and audit images. You can use
* <code>AuditImagesLimit</code> to limit the number of audit images
* returned. This number is between 0 and 4. By default, it is set to 0. The
* Liveness video and get the results for a Face Liveness session.
* </p>
* <p>
* You can use the <code>OutputConfig</code> option in the Settings
* parameter to provide an Amazon S3 bucket location. The Amazon S3 bucket
* stores reference images and audit images. If no Amazon S3 bucket is
* defined, raw bytes are sent instead.
* </p>
* <p>
* You can use <code>AuditImagesLimit</code> to limit the number of audit
* images returned when <code>GetFaceLivenessSessionResults</code> is
* called. This number is between 0 and 4. By default, it is set to 0. The
* limit is best effort and based on the duration of the selfie-video.
* </p>
*
Expand Down Expand Up @@ -1819,10 +1825,12 @@ DetectFacesResult detectFaces(DetectFacesRequest detectFacesRequest)
* >Detecting Labels in an Image</a>.
* </p>
* <p>
* 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. The default and upper limit is 1000 labels.
* When getting labels, 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. The default and upper limit is 1000 labels.
* These arguments are only valid when supplying GENERAL_LABELS as a feature
* type.
* </p>
* <p>
* <b>Response Elements</b>
Expand Down Expand Up @@ -2513,6 +2521,11 @@ GetContentModerationResult getContentModeration(
* <code>NextToken</code> request parameter with the token value returned
* from the previous call to <code>GetFaceDetection</code>.
* </p>
* <p>
* Note that for the <code>GetFaceDetection</code> operation, the returned
* values for <code>FaceOccluded</code> and <code>EyeDirection</code> will
* always be "null".
* </p>
*
* @param getFaceDetectionRequest
* @return getFaceDetectionResult The response from the GetFaceDetection
Expand Down Expand Up @@ -2542,8 +2555,14 @@ GetFaceDetectionResult getFaceDetection(GetFaceDetectionRequest getFaceDetection
* <code>CreateFaceLivenessSession</code>. Returns the corresponding Face
* Liveness confidence score, a reference image that includes a face
* bounding box, and audit images that also contain face bounding boxes. The
* Face Liveness confidence score ranges from 0 to 100. The reference image
* can optionally be returned.
* Face Liveness confidence score ranges from 0 to 100.
* </p>
* <p>
* The number of audit images returned by
* <code>GetFaceLivenessSessionResults</code> is defined by the
* <code>AuditImagesLimit</code> paramater when calling
* <code>CreateFaceLivenessSession</code>. Reference images are always
* returned when possible.
* </p>
*
* @param getFaceLivenessSessionResultsRequest
Expand Down Expand Up @@ -2937,7 +2956,7 @@ GetSegmentDetectionResult getSegmentDetection(
* <p>
* <code>GetTextDetection</code> returns an array of detected text (
* <code>TextDetections</code>) sorted by the time the text was detected, up
* to 50 words per frame of video.
* to 100 words per frame of video.
* </p>
* <p>
* Each element of the array includes the detected text, the precentage
Expand Down
49 changes: 34 additions & 15 deletions ...rekognition/src/main/java/com/amazonaws/services/rekognition/AmazonRekognitionClient.java
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Original file line number Diff line number Diff line change
Expand Up @@ -1269,9 +1269,9 @@ public CreateCollectionResult createCollection(CreateCollectionRequest createCol
* an existing Amazon Rekognition Custom Labels dataset.
* </p>
* <p>
* To create a training dataset for a project, specify <code>train</code>
* To create a training dataset for a project, specify <code>TRAIN</code>
* for the value of <code>DatasetType</code>. To create the test dataset for
* a project, specify <code>test</code> for the value of
* a project, specify <code>TEST</code> for the value of
* <code>DatasetType</code>.
* </p>
* <p>
Expand Down Expand Up @@ -1355,12 +1355,18 @@ public CreateDatasetResult createDataset(CreateDatasetRequest createDatasetReque
* <p>
* This API operation initiates a Face Liveness session. It returns a
* <code>SessionId</code>, which you can use to start streaming Face
* Liveness video and get the results for a Face Liveness session. You can
* use the <code>OutputConfig</code> option in the Settings parameter to
* provide an Amazon S3 bucket location. The Amazon S3 bucket stores
* reference images and audit images. You can use
* <code>AuditImagesLimit</code> to limit the number of audit images
* returned. This number is between 0 and 4. By default, it is set to 0. The
* Liveness video and get the results for a Face Liveness session.
* </p>
* <p>
* You can use the <code>OutputConfig</code> option in the Settings
* parameter to provide an Amazon S3 bucket location. The Amazon S3 bucket
* stores reference images and audit images. If no Amazon S3 bucket is
* defined, raw bytes are sent instead.
* </p>
* <p>
* You can use <code>AuditImagesLimit</code> to limit the number of audit
* images returned when <code>GetFaceLivenessSessionResults</code> is
* called. This number is between 0 and 4. By default, it is set to 0. The
* limit is best effort and based on the duration of the selfie-video.
* </p>
*
Expand Down Expand Up @@ -2763,10 +2769,12 @@ public DetectFacesResult detectFaces(DetectFacesRequest detectFacesRequest)
* >Detecting Labels in an Image</a>.
* </p>
* <p>
* 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. The default and upper limit is 1000 labels.
* When getting labels, 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. The default and upper limit is 1000 labels.
* These arguments are only valid when supplying GENERAL_LABELS as a feature
* type.
* </p>
* <p>
* <b>Response Elements</b>
Expand Down Expand Up @@ -3698,6 +3706,11 @@ public GetContentModerationResult getContentModeration(
* <code>NextToken</code> request parameter with the token value returned
* from the previous call to <code>GetFaceDetection</code>.
* </p>
* <p>
* Note that for the <code>GetFaceDetection</code> operation, the returned
* values for <code>FaceOccluded</code> and <code>EyeDirection</code> will
* always be "null".
* </p>
*
* @param getFaceDetectionRequest
* @return getFaceDetectionResult The response from the GetFaceDetection
Expand Down Expand Up @@ -3753,8 +3766,14 @@ public GetFaceDetectionResult getFaceDetection(GetFaceDetectionRequest getFaceDe
* <code>CreateFaceLivenessSession</code>. Returns the corresponding Face
* Liveness confidence score, a reference image that includes a face
* bounding box, and audit images that also contain face bounding boxes. The
* Face Liveness confidence score ranges from 0 to 100. The reference image
* can optionally be returned.
* Face Liveness confidence score ranges from 0 to 100.
* </p>
* <p>
* The number of audit images returned by
* <code>GetFaceLivenessSessionResults</code> is defined by the
* <code>AuditImagesLimit</code> paramater when calling
* <code>CreateFaceLivenessSession</code>. Reference images are always
* returned when possible.
* </p>
*
* @param getFaceLivenessSessionResultsRequest
Expand Down Expand Up @@ -4284,7 +4303,7 @@ public GetSegmentDetectionResult getSegmentDetection(
* <p>
* <code>GetTextDetection</code> returns an array of detected text (
* <code>TextDetections</code>) sorted by the time the text was detected, up
* to 50 words per frame of video.
* to 100 words per frame of video.
* </p>
* <p>
* Each element of the array includes the detected text, the precentage
Expand Down
48 changes: 24 additions & 24 deletions ...ognition/src/main/java/com/amazonaws/services/rekognition/model/CreateDatasetRequest.java
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Original file line number Diff line number Diff line change
Expand Up @@ -26,9 +26,9 @@
* existing Amazon Rekognition Custom Labels dataset.
* </p>
* <p>
* To create a training dataset for a project, specify <code>train</code> for
* To create a training dataset for a project, specify <code>TRAIN</code> for
* the value of <code>DatasetType</code>. To create the test dataset for a
* project, specify <code>test</code> for the value of <code>DatasetType</code>.
* project, specify <code>TEST</code> for the value of <code>DatasetType</code>.
* </p>
* <p>
* The response from <code>CreateDataset</code> is the Amazon Resource Name
Expand Down Expand Up @@ -71,8 +71,8 @@ public class CreateDatasetRequest extends AmazonWebServiceRequest implements Ser

/**
* <p>
* The type of the dataset. Specify <code>train</code> to create a training
* dataset. Specify <code>test</code> to create a test dataset.
* The type of the dataset. Specify <code>TRAIN</code> to create a training
* dataset. Specify <code>TEST</code> to create a test dataset.
* </p>
* <p>
* <b>Constraints:</b><br/>
Expand Down Expand Up @@ -168,16 +168,16 @@ public CreateDatasetRequest withDatasetSource(DatasetSource datasetSource) {

/**
* <p>
* The type of the dataset. Specify <code>train</code> to create a training
* dataset. Specify <code>test</code> to create a test dataset.
* The type of the dataset. Specify <code>TRAIN</code> to create a training
* dataset. Specify <code>TEST</code> to create a test dataset.
* </p>
* <p>
* <b>Constraints:</b><br/>
* <b>Allowed Values: </b>TRAIN, TEST
*
* @return <p>
* The type of the dataset. Specify <code>train</code> to create a
* training dataset. Specify <code>test</code> to create a test
* The type of the dataset. Specify <code>TRAIN</code> to create a
* training dataset. Specify <code>TEST</code> to create a test
* dataset.
* </p>
* @see DatasetType
Expand All @@ -188,16 +188,16 @@ public String getDatasetType() {

/**
* <p>
* The type of the dataset. Specify <code>train</code> to create a training
* dataset. Specify <code>test</code> to create a test dataset.
* The type of the dataset. Specify <code>TRAIN</code> to create a training
* dataset. Specify <code>TEST</code> to create a test dataset.
* </p>
* <p>
* <b>Constraints:</b><br/>
* <b>Allowed Values: </b>TRAIN, TEST
*
* @param datasetType <p>
* The type of the dataset. Specify <code>train</code> to create
* a training dataset. Specify <code>test</code> to create a test
* The type of the dataset. Specify <code>TRAIN</code> to create
* a training dataset. Specify <code>TEST</code> to create a test
* dataset.
* </p>
* @see DatasetType
Expand All @@ -208,8 +208,8 @@ public void setDatasetType(String datasetType) {

/**
* <p>
* The type of the dataset. Specify <code>train</code> to create a training
* dataset. Specify <code>test</code> to create a test dataset.
* The type of the dataset. Specify <code>TRAIN</code> to create a training
* dataset. Specify <code>TEST</code> to create a test dataset.
* </p>
* <p>
* Returns a reference to this object so that method calls can be chained
Expand All @@ -219,8 +219,8 @@ public void setDatasetType(String datasetType) {
* <b>Allowed Values: </b>TRAIN, TEST
*
* @param datasetType <p>
* The type of the dataset. Specify <code>train</code> to create
* a training dataset. Specify <code>test</code> to create a test
* The type of the dataset. Specify <code>TRAIN</code> to create
* a training dataset. Specify <code>TEST</code> to create a test
* dataset.
* </p>
* @return A reference to this updated object so that method calls can be
Expand All @@ -234,16 +234,16 @@ public CreateDatasetRequest withDatasetType(String datasetType) {

/**
* <p>
* The type of the dataset. Specify <code>train</code> to create a training
* dataset. Specify <code>test</code> to create a test dataset.
* The type of the dataset. Specify <code>TRAIN</code> to create a training
* dataset. Specify <code>TEST</code> to create a test dataset.
* </p>
* <p>
* <b>Constraints:</b><br/>
* <b>Allowed Values: </b>TRAIN, TEST
*
* @param datasetType <p>
* The type of the dataset. Specify <code>train</code> to create
* a training dataset. Specify <code>test</code> to create a test
* The type of the dataset. Specify <code>TRAIN</code> to create
* a training dataset. Specify <code>TEST</code> to create a test
* dataset.
* </p>
* @see DatasetType
Expand All @@ -254,8 +254,8 @@ public void setDatasetType(DatasetType datasetType) {

/**
* <p>
* The type of the dataset. Specify <code>train</code> to create a training
* dataset. Specify <code>test</code> to create a test dataset.
* The type of the dataset. Specify <code>TRAIN</code> to create a training
* dataset. Specify <code>TEST</code> to create a test dataset.
* </p>
* <p>
* Returns a reference to this object so that method calls can be chained
Expand All @@ -265,8 +265,8 @@ public void setDatasetType(DatasetType datasetType) {
* <b>Allowed Values: </b>TRAIN, TEST
*
* @param datasetType <p>
* The type of the dataset. Specify <code>train</code> to create
* a training dataset. Specify <code>test</code> to create a test
* The type of the dataset. Specify <code>TRAIN</code> to create
* a training dataset. Specify <code>TEST</code> to create a test
* dataset.
* </p>
* @return A reference to this updated object so that method calls can be
Expand Down
20 changes: 13 additions & 7 deletions .../main/java/com/amazonaws/services/rekognition/model/CreateFaceLivenessSessionRequest.java
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Original file line number Diff line number Diff line change
Expand Up @@ -23,13 +23,19 @@
* <p>
* This API operation initiates a Face Liveness session. It returns a
* <code>SessionId</code>, which you can use to start streaming Face Liveness
* video and get the results for a Face Liveness session. You can use the
* <code>OutputConfig</code> option in the Settings parameter to provide an
* Amazon S3 bucket location. The Amazon S3 bucket stores reference images and
* audit images. You can use <code>AuditImagesLimit</code> to limit the number
* of audit images returned. This number is between 0 and 4. By default, it is
* set to 0. The limit is best effort and based on the duration of the
* selfie-video.
* video and get the results for a Face Liveness session.
* </p>
* <p>
* You can use the <code>OutputConfig</code> option in the Settings parameter to
* provide an Amazon S3 bucket location. The Amazon S3 bucket stores reference
* images and audit images. If no Amazon S3 bucket is defined, raw bytes are
* sent instead.
* </p>
* <p>
* You can use <code>AuditImagesLimit</code> to limit the number of audit images
* returned when <code>GetFaceLivenessSessionResults</code> is called. This
* number is between 0 and 4. By default, it is set to 0. The limit is best
* effort and based on the duration of the selfie-video.
* </p>
*/
public class CreateFaceLivenessSessionRequest extends AmazonWebServiceRequest implements
Expand Down
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