feat(aws-android-sdk-rekognition): update models to latest (#2599)

Co-authored-by: Rafael Juliano <[email protected]>

Author: awsmobilesdk

aws-android-sdk-rekognition/src/main/java/com/amazonaws/services/rekognition/AmazonRekognition.java

@@ -695,19 +695,25 @@ DescribeStreamProcessorResult describeStreamProcessor(
      * <code>Geometry</code>).
      * </p>
      * <p>
-     * During training model calculates a threshold value that determines if a
-     * prediction for a label is true. By default,
-     * <code>DetectCustomLabels</code> doesn't return labels whose confidence
-     * value is below the model's calculated threshold value. To filter labels
-     * that are returned, specify a value for <code>MinConfidence</code> that is
-     * higher than the model's calculated threshold. You can get the model's
-     * calculated threshold from the model's training results shown in the
-     * Amazon Rekognition Custom Labels console. To get all labels, regardless
-     * of confidence, specify a <code>MinConfidence</code> value of 0.
+     * To filter labels that are returned, specify a value for
+     * <code>MinConfidence</code>. <code>DetectCustomLabelsLabels</code> only
+     * returns labels with a confidence that's higher than the specified value.
+     * The value of <code>MinConfidence</code> maps to the assumed threshold
+     * values created during training. For more information, see <i>Assumed
+     * threshold</i> in the Amazon Rekognition Custom Labels Developer Guide.
+     * Amazon Rekognition Custom Labels metrics expresses an assumed threshold
+     * as a floating point value between 0-1. The range of
+     * <code>MinConfidence</code> normalizes the threshold value to a percentage
+     * value (0-100). Confidence responses from <code>DetectCustomLabels</code>
+     * are also returned as a percentage. You can use <code>MinConfidence</code>
+     * to change the precision and recall or your model. For more information,
+     * see <i>Analyzing an image</i> in the Amazon Rekognition Custom Labels
+     * Developer Guide.
      * </p>
      * <p>
-     * You can also add the <code>MaxResults</code> parameter to limit the
-     * number of labels returned.
+     * If you don't specify a value for <code>MinConfidence</code>,
+     * <code>DetectCustomLabels</code> returns labels based on the assumed
+     * threshold of each label.
      * </p>
      * <p>
      * This is a stateless API operation. That is, the operation does not
@@ -717,6 +723,10 @@ DescribeStreamProcessorResult describeStreamProcessor(
      * This operation requires permissions to perform the
      * <code>rekognition:DetectCustomLabels</code> action.
      * </p>
+     * <p>
+     * For more information, see <i>Analyzing an image</i> in the Amazon
+     * Rekognition Custom Labels Developer Guide.
+     * </p>
      * 
      * @param detectCustomLabelsRequest
      * @return detectCustomLabelsResult The response from the DetectCustomLabels
@@ -1136,10 +1146,10 @@ DetectTextResult detectText(DetectTextRequest detectTextRequest) throws AmazonCl
 
     /**
      * <p>
-     * 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.
+     * Gets the name and additional information about a celebrity based on their
+     * 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.
      * </p>
      * <p>
      * For more information, see Recognizing Celebrities in an Image in the

aws-android-sdk-rekognition/src/main/java/com/amazonaws/services/rekognition/AmazonRekognitionClient.java

@@ -1343,19 +1343,25 @@ public DescribeStreamProcessorResult describeStreamProcessor(
      * <code>Geometry</code>).
      * </p>
      * <p>
-     * During training model calculates a threshold value that determines if a
-     * prediction for a label is true. By default,
-     * <code>DetectCustomLabels</code> doesn't return labels whose confidence
-     * value is below the model's calculated threshold value. To filter labels
-     * that are returned, specify a value for <code>MinConfidence</code> that is
-     * higher than the model's calculated threshold. You can get the model's
-     * calculated threshold from the model's training results shown in the
-     * Amazon Rekognition Custom Labels console. To get all labels, regardless
-     * of confidence, specify a <code>MinConfidence</code> value of 0.
+     * To filter labels that are returned, specify a value for
+     * <code>MinConfidence</code>. <code>DetectCustomLabelsLabels</code> only
+     * returns labels with a confidence that's higher than the specified value.
+     * The value of <code>MinConfidence</code> maps to the assumed threshold
+     * values created during training. For more information, see <i>Assumed
+     * threshold</i> in the Amazon Rekognition Custom Labels Developer Guide.
+     * Amazon Rekognition Custom Labels metrics expresses an assumed threshold
+     * as a floating point value between 0-1. The range of
+     * <code>MinConfidence</code> normalizes the threshold value to a percentage
+     * value (0-100). Confidence responses from <code>DetectCustomLabels</code>
+     * are also returned as a percentage. You can use <code>MinConfidence</code>
+     * to change the precision and recall or your model. For more information,
+     * see <i>Analyzing an image</i> in the Amazon Rekognition Custom Labels
+     * Developer Guide.
      * </p>
      * <p>
-     * You can also add the <code>MaxResults</code> parameter to limit the
-     * number of labels returned.
+     * If you don't specify a value for <code>MinConfidence</code>,
+     * <code>DetectCustomLabels</code> returns labels based on the assumed
+     * threshold of each label.
      * </p>
      * <p>
      * This is a stateless API operation. That is, the operation does not
@@ -1365,6 +1371,10 @@ public DescribeStreamProcessorResult describeStreamProcessor(
      * This operation requires permissions to perform the
      * <code>rekognition:DetectCustomLabels</code> action.
      * </p>
+     * <p>
+     * For more information, see <i>Analyzing an image</i> in the Amazon
+     * Rekognition Custom Labels Developer Guide.
+     * </p>
      * 
      * @param detectCustomLabelsRequest
      * @return detectCustomLabelsResult The response from the DetectCustomLabels
@@ -1944,10 +1954,10 @@ public DetectTextResult detectText(DetectTextRequest detectTextRequest)
 
     /**
      * <p>
-     * 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.
+     * Gets the name and additional information about a celebrity based on their
+     * 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.
      * </p>
      * <p>
      * For more information, see Recognizing Celebrities in an Image in the

aws-android-sdk-rekognition/src/main/java/com/amazonaws/services/rekognition/model/Celebrity.java

@@ -69,6 +69,13 @@ public class Celebrity implements Serializable {
      */
     private Float matchConfidence;
 
+    /**
+     * <p>
+     * The known gender identity for the celebrity that matches the provided ID.
+     * </p>
+     */
+    private KnownGender knownGender;
+
     /**
      * <p>
      * An array of URLs pointing to additional information about the celebrity.
@@ -369,6 +376,54 @@ public Celebrity withMatchConfidence(Float matchConfidence) {
         return this;
     }
 
+    /**
+     * <p>
+     * The known gender identity for the celebrity that matches the provided ID.
+     * </p>
+     *
+     * @return <p>
+     *         The known gender identity for the celebrity that matches the
+     *         provided ID.
+     *         </p>
+     */
+    public KnownGender getKnownGender() {
+        return knownGender;
+    }
+
+    /**
+     * <p>
+     * The known gender identity for the celebrity that matches the provided ID.
+     * </p>
+     *
+     * @param knownGender <p>
+     *            The known gender identity for the celebrity that matches the
+     *            provided ID.
+     *            </p>
+     */
+    public void setKnownGender(KnownGender knownGender) {
+        this.knownGender = knownGender;
+    }
+
+    /**
+     * <p>
+     * The known gender identity for the celebrity that matches the provided ID.
+     * </p>
+     * <p>
+     * Returns a reference to this object so that method calls can be chained
+     * together.
+     *
+     * @param knownGender <p>
+     *            The known gender identity for the celebrity that matches the
+     *            provided ID.
+     *            </p>
+     * @return A reference to this updated object so that method calls can be
+     *         chained together.
+     */
+    public Celebrity withKnownGender(KnownGender knownGender) {
+        this.knownGender = knownGender;
+        return this;
+    }
+
     /**
      * Returns a string representation of this object; useful for testing and
      * debugging.
@@ -389,7 +444,9 @@ public String toString() {
         if (getFace() != null)
             sb.append("Face: " + getFace() + ",");
         if (getMatchConfidence() != null)
-            sb.append("MatchConfidence: " + getMatchConfidence());
+            sb.append("MatchConfidence: " + getMatchConfidence() + ",");
+        if (getKnownGender() != null)
+            sb.append("KnownGender: " + getKnownGender());
         sb.append("}");
         return sb.toString();
     }
@@ -405,6 +462,8 @@ public int hashCode() {
         hashCode = prime * hashCode + ((getFace() == null) ? 0 : getFace().hashCode());
         hashCode = prime * hashCode
                 + ((getMatchConfidence() == null) ? 0 : getMatchConfidence().hashCode());
+        hashCode = prime * hashCode
+                + ((getKnownGender() == null) ? 0 : getKnownGender().hashCode());
         return hashCode;
     }
 
@@ -440,6 +499,11 @@ public boolean equals(Object obj) {
         if (other.getMatchConfidence() != null
                 && other.getMatchConfidence().equals(this.getMatchConfidence()) == false)
             return false;
+        if (other.getKnownGender() == null ^ this.getKnownGender() == null)
+            return false;
+        if (other.getKnownGender() != null
+                && other.getKnownGender().equals(this.getKnownGender()) == false)
+            return false;
         return true;
     }
 }