private void OnClassifyPost(ClassifyTopLevelMultiple classify, string customData)
{
Test(classify != null);
if (classify != null)
{
Log.Debug("TestVisualRecognition", "ClassifyImage POST images processed: " + classify.images_processed);
foreach (ClassifyTopLevelSingle image in classify.images)
{
Log.Debug("TestVisualRecognition", "\tClassifyImage POST source_url: " + image.source_url + ", resolved_url: " + image.resolved_url);
foreach (ClassifyPerClassifier classifier in image.classifiers)
{
Log.Debug("TestVisualRecognition", "\t\tClassifyImage POST classifier_id: " + classifier.classifier_id + ", name: " + classifier.name);
foreach (ClassResult classResult in classifier.classes)
{
Log.Debug("TestVisualRecognition", "\t\t\tClassifyImage POST class: " + classResult.m_class + ", score: " + classResult.score + ", type_hierarchy: " + classResult.type_hierarchy);
}
}
}
m_ClassifyPOSTTested = true;
}
else
{
Log.Debug("TestVisualRecognition", "Classification POST failed!");
}
}
private void OnClassify(ClassifyTopLevelMultiple classify, string data)
{
if (classify != null)
{
Log.Debug("ExampleVisualRecognition", "images processed: " + classify.images_processed);
foreach (ClassifyTopLevelSingle image in classify.images)
{
Log.Debug("ExampleVisualRecognition", "\tsource_url: " + image.source_url + ", resolved_url: " + image.resolved_url);
if (image.classifiers != null && image.classifiers.Length > 0)
{
foreach (ClassifyPerClassifier classifier in image.classifiers)
{
Log.Debug("ExampleVisualRecognition", "\t\tclassifier_id: " + classifier.classifier_id + ", name: " + classifier.name);
foreach (ClassResult classResult in classifier.classes)
{
Log.Debug("ExampleVisualRecognition", "\t\t\tclass: " + classResult.m_class + ", score: " + classResult.score + ", type_hierarchy: " + classResult.type_hierarchy);
}
}
}
}
}
else
{
Log.Debug("ExampleVisualRecognition", "Classification failed!");
}
}
/// <summary>
/// Called on Succes, parses json.
/// </summary>
/// <param name="classify"></param>
/// <param name="customData"></param>
private void OnClassify(ClassifyTopLevelMultiple classify, Dictionary <string, object> customData)
{
Log.Debug("ExampleVisualRecognition.OnClassify()", "Classify result: {0}", customData["json"].ToString());
earlDebug("WATSON SUCCES! : " + customData["json"].ToString());
WjsonToClass data = WjsonToClass.FromJson(customData["json"].ToString());
responseText.text = data.Images[0].Classifiers[0].Classes[0].PurpleClass;
AddObjectText(data.Images[0].Classifiers[0].Classes[0].PurpleClass);//Adds text to the Object Panel
try
{
ds.CreateEmotion(curEmote, System.Convert.ToSingle(data.Images[0].Classifiers[0].Classes[0].Score), System.DateTime.Now, data.Images[0].Classifiers[0].Classes[0].PurpleClass, data.Images[0].Classifiers[0].Classes[1].PurpleClass);
} catch (System.Exception e)
{
_ShowAndroidToastMessage("Failed to Query Emotions to database: " + e);
earlDebug("Failed to Query Emotions to database: " + e);
}
//Debug stuff
for (int i = 0; i < 2; i++)
{
earlDebug("Classifier scores begin: ");
earlDebug(data.Images[0].Classifiers[0].Classes[i].PurpleClass);
earlDebug(data.Images[0].Classifiers[0].Classes[i].Score.ToString());
earlDebug("Classifier scores end");
}
}
private void OnClassify(ClassifyTopLevelMultiple classify, Dictionary <string, object> customData)
{
Log.Debug("ExampleVisualRecognition.OnClassify()", "Classify result: {0}", customData["json"].ToString());
string fileText2Content;
fileText2Content = customData["json"].ToString();
string fileText2path = Application.persistentDataPath + "/json.txt";
File.WriteAllText(fileText2path, fileText2Content);
}
private void OnClassifyGet(ClassifyTopLevelMultiple classify, Dictionary <string, object> customData)
{
Log.Debug("ExampleVisualRecognition.OnClassifyGet()", "{0}", customData["json"].ToString());
string res = customData ["json"].ToString();
var N = JSON.Parse(res);
var classes = N ["images"] [0] ["classifiers"] [0] ["classes"];
string ans = classes [0] ["class"];
ObjectText.text = ans;
translate();
}
private void OnClassify(ClassifyTopLevelMultiple classify, string data)
{
processingImage = false;
if (classify != null)
{
Debug.Log("WebCamRecognition" + " images processed: " + classify.images_processed);
//foreach (ClassifyTopLevelSingle image in classify.images)
{
if (classify.images_processed >= 1 && classify.images.Length >= 1)
{
ClassifyTopLevelSingle image = classify.images [0];
Debug.Log("WebCamRecognition" + " \tsource_url: " + image.source_url + ", resolved_url: " + image.resolved_url);
CardClassResult result = new CardClassResult();
foreach (ClassifyPerClassifier classifier in image.classifiers)
{
Debug.Log("WebCamRecognition" + " \t\tclassifier_id: " + classifier.classifier_id + ", name: " + classifier.name);
if (classifier.name == "suicide_king")
{
foreach (ClassResult classResult in classifier.classes)
{
result.AddResult(classResult.m_class, classResult.score);
Debug.Log("WebCamRecognition" + " \t\t\tclass: " + classResult.m_class + ", score: " + classResult.score + ", type_hierarchy: " + classResult.type_hierarchy);
}
}
InferWatsonResult(result);
}
}
else
{
tryAgainGameObj.SetActive(true);
}
}
}
else
{
Debug.Log("WebCamRecognition" + " Classification failed!");
tryAgainGameObj.SetActive(true);
}
}
public ClassifyTopLevelMultiple Classify(string url, string[] classifierIDs = null, string[] owners = null, float threshold = 0, string acceptLanguage = "en")
{
ClassifyTopLevelMultiple result = null;
if (string.IsNullOrEmpty(url))
{
throw new ArgumentNullException("'url' is required for 'Classify()'");
}
string _classifierIDs = classifierIDs != null?string.Join(",", classifierIDs) : "default";
if (owners != null)
{
foreach (string owner in owners)
{
if (owner.ToLower() != "ibm" && owner.ToLower() != "me")
{
throw new ArgumentOutOfRangeException("Owners can only be a combination of IBM and me ('IBM', 'me', 'IBM,me').");
}
}
}
string _owners = owners != null?string.Join(",", owners) : "IBM,me";
try
{
result = this.Client.GetAsync($"{this.Endpoint}{PATH_CLASSIFY}")
.WithHeader("Accept-Language", "en")
.WithArgument("url", url)
.WithArgument("classifier_ids", _classifierIDs)
.WithArgument("owners", _owners)
.WithArgument("threshold", threshold.ToString())
.WithArgument("version", VERSION_DATE_2016_05_20)
.WithArgument("api_key", ApiKey)
.As <ClassifyTopLevelMultiple>()
.Result;
}
catch (AggregateException ae)
{
throw ae.Flatten();
}
return(result);
}
private void OnClassifyPost(ClassifyTopLevelMultiple classify, Dictionary <string, object> customData)
{
Log.Debug("ExampleVisualRecognition.OnClassifyPost()", "{0}", customData["json"].ToString());
_classifyPostTested = true;
}
private void OnClassifyPost(ClassifyTopLevelMultiple classify, Dictionary <string, object> customData)
{
Log.Debug("TestVisualRecognition.OnClassifyPost()", "VisualRecognition - ClassifyPost Response: {0}", customData["json"].ToString());
Test(classify != null);
_classifyPostTested = true;
}
private void OnClassifyPost(ClassifyTopLevelMultiple classify, string data)
{
Log.Debug("ExampleVisualRecognition", "VisualRecognition - ClassifyPost Response: {0}", data);
Test(classify != null);
_classifyPostTested = true;
}
