Feature release prep 0.12.0

CHANGELOG.md

@@ -1,19 +1,19 @@
 Change Log
 ==========
 ## Version 0.12.0
-_2016_10_27_
+_2016-11-4_
 * New: Added streaming `SpeechToText` example.
 * New: Abstraction for `Personality Insights V3`
 
 ## Version 0.11.0
-_2016_10_27_
+_2016-10-27_
 * New: Abstracted `Speech to Text` customization methods.
 
 ## Version 0.10.0
-_2016_09_23_
+_2016-09-23_
 
 * New: Added `similarity search` to the `Visual Recognition` service.
-* Fix: `Touch Widget` improvmements.
+* Fix: `Touch Widget` improvements.
 * Fix: Disabled 3rd Party plugin warnings.
 * Fix: Removed `Conversation` Message overload method that takes only input and conversationID.
 * Fix: Rewrote `Conversation` example script to show how to create MessageRequest object.

README.md

@@ -1559,7 +1559,7 @@ private void OnGetCombinedData(CombinedCallData combinedData, string data)
 
 
 ### Personality Insights
-The IBM Watson™ [Personality Insights][personality_insights] service enables applications to derive insights from social media, enterprise data, or other digital communications. The service uses linguistic analytics to infer individuals' intrinsic personality characteristics, including Big Five, Needs, and Values, from digital communications such as email, text messages, tweets, and forum posts. The service can automatically infer, from potentially noisy social media, portraits of individuals that reflect their personality characteristics.
+The IBM Watson™ [Personality Insights][personality_insights] service provides a Representational State Transfer (REST) Application Programming Interface (API) that enables applications to derive insights from social media, enterprise data, or other digital communications. The service uses linguistic analytics to infer individuals' intrinsic personality characteristics, including Big Five, Needs, and Values, from digital communications such as email, text messages, tweets, and forum posts. The service can automatically infer, from potentially noisy social media, portraits of individuals that reflect their personality characteristics. The service can report consumption preferences based on the results of its analysis, and for JSON content that is timestamped, it can report temporal behavior.
 
 ```cs
 PersonalityInsights m_personalityInsights = new PersonalityInsights();

Scripts/UnitTests/TestSpeechToText.cs

@@ -208,10 +208,10 @@ public override IEnumerator RunTest()
       //	yield return null;
 
       //	DeleteCustomization
-      Log.Debug("TestSpeechToText", "**********  Attempting to to delete customization {0}", m_CreatedCustomizationID);
-      m_SpeechToText.DeleteCustomization(HandleDeleteCustomization, m_CreatedCustomizationID);
-      while (!m_DeleteCustomizationTested)
-        yield return null;
+      //Log.Debug("TestSpeechToText", "**********  Attempting to to delete customization {0}", m_CreatedCustomizationID);
+      //m_SpeechToText.DeleteCustomization(HandleDeleteCustomization, m_CreatedCustomizationID);
+      //while (!m_DeleteCustomizationTested)
+      //  yield return null;
 
       yield break;
     }

Scripts/UnitTests/TestVisualRecognition.cs

@@ -399,10 +399,14 @@ private void OnDetectFacesGet(FacesTopLevelMultiple multipleImages, string custo
           Log.Debug("TestVisualRecognition", "\tDetectFaces GET  source_url: {0}, resolved_url: {1}", faces.source_url, faces.resolved_url);
           foreach (OneFaceResult face in faces.faces)
           {
-            Log.Debug("TestVisualRecognition", "\t\tDetectFaces GET Face location: {0}, {1}, {2}, {3}", face.face_location.left, face.face_location.top, face.face_location.width, face.face_location.height);
-            Log.Debug("TestVisualRecognition", "\t\tDetectFaces GET Gender: {0}, Score: {1}", face.gender.gender, face.gender.score);
-            Log.Debug("TestVisualRecognition", "\t\tDetectFaces GET Age Min: {0}, Age Max: {1}, Score: {2}", face.age.min, face.age.max, face.age.score);
-            Log.Debug("TestVisualRecognition", "\t\tDetectFaces GET Name: {0}, Score: {1}, Type Heiarchy: {2}", face.identity.name, face.identity.score, face.identity.type_hierarchy);
+            if(face.face_location != null)
+              Log.Debug("TestVisualRecognition", "\t\tDetectFaces GET Face location: {0}, {1}, {2}, {3}", face.face_location.left, face.face_location.top, face.face_location.width, face.face_location.height);
+            if(face.gender != null)
+              Log.Debug("TestVisualRecognition", "\t\tDetectFaces GET Gender: {0}, Score: {1}", face.gender.gender, face.gender.score);
+            if(face.age != null)
+              Log.Debug("TestVisualRecognition", "\t\tDetectFaces GET Age Min: {0}, Age Max: {1}, Score: {2}", face.age.min, face.age.max, face.age.score);
+            if (face.identity != null)
+              Log.Debug("TestVisualRecognition", "\t\tDetectFaces GET Name: {0}, Score: {1}, Type Heiarchy: {2}", face.identity.name, face.identity.score, face.identity.type_hierarchy);
           }
         }
 
@@ -425,10 +429,14 @@ private void OnDetectFacesPost(FacesTopLevelMultiple multipleImages, string cust
           Log.Debug("TestVisualRecognition", "\tDetectFaces POST  source_url: {0}, resolved_url: {1}", faces.source_url, faces.resolved_url);
           foreach (OneFaceResult face in faces.faces)
           {
-            Log.Debug("TestVisualRecognition", "\t\tDetectFaces POST Face location: {0}, {1}, {2}, {3}", face.face_location.left, face.face_location.top, face.face_location.width, face.face_location.height);
-            Log.Debug("TestVisualRecognition", "\t\tDetectFaces POST Gender: {0}, Score: {1}", face.gender.gender, face.gender.score);
-            Log.Debug("TestVisualRecognition", "\t\tDetectFaces POST Age Min: {0}, Age Max: {1}, Score: {2}", face.age.min, face.age.max, face.age.score);
-            Log.Debug("TestVisualRecognition", "\t\tDetectFaces POST Name: {0}, Score: {1}, Type Heiarchy: {2}", face.identity.name, face.identity.score, face.identity.type_hierarchy);
+            if (face.face_location != null)
+              Log.Debug("TestVisualRecognition", "\t\tDetectFaces POST Face location: {0}, {1}, {2}, {3}", face.face_location.left, face.face_location.top, face.face_location.width, face.face_location.height);
+            if (face.gender != null)
+              Log.Debug("TestVisualRecognition", "\t\tDetectFaces POST Gender: {0}, Score: {1}", face.gender.gender, face.gender.score);
+            if (face.age != null)
+              Log.Debug("TestVisualRecognition", "\t\tDetectFaces POST Age Min: {0}, Age Max: {1}, Score: {2}", face.age.min, face.age.max, face.age.score);
+            if(face.identity != null)
+              Log.Debug("TestVisualRecognition", "\t\tDetectFaces POST Name: {0}, Score: {1}, Type Heiarchy: {2}", face.identity.name, face.identity.score, face.identity.type_hierarchy);
           }
         }
 

Scripts/Utilities/Constants.cs

@@ -62,7 +62,7 @@ public static class Resources
     public static class String
     {
       /// <exclude />
-      public const string VERSION = "watson-developer-cloud-unity-sdk-0.11.0";
+      public const string VERSION = "watson-developer-cloud-unity-sdk-0.12.0";
       /// <exclude />
       public const string DEBUG_DISPLAY_QUALITY = "Quality: {0}";
     }