private IEnumerator CreateService()
{
if (string.IsNullOrEmpty(_iamApikey))
{
throw new WatsonException("Plesae provide IAM ApiKey for the service.");
}
Credentials credentials = null;
// Authenticate using iamApikey
TokenOptions tokenOptions = new TokenOptions()
{
IamApiKey = _iamApikey
};
credentials = new Credentials(tokenOptions, _serviceUrl);
// Wait for tokendata
while (!credentials.HasIamTokenData())
{
yield return(null);
}
// Create credential and instantiate service
_visualRecognition = new VisualRecognition(credentials);
_visualRecognition.VersionDate = _versionDate;
Runnable.Run(Examples());
}
private IEnumerator CreateService()
{
if (string.IsNullOrEmpty(_iamApikey))
{
throw new WatsonException("Please provide IAM ApiKey for the service.");
}
Credentials credentials = null;
TokenOptions tokenOptions = new TokenOptions()
{
IamApiKey = _iamApikey
};
credentials = new Credentials(tokenOptions, _serviceUrl);
//wait for token
while (!credentials.HasIamTokenData())
{
yield return(null);
}
//create credentials
_visualRecognition = new VisualRecognition(credentials);
_visualRecognition.VersionDate = "2019-02-26";
}
private void InstantiateVR()
{
TokenOptions iamTokenOptionsTangram = new TokenOptions()
{
IamApiKey = Secrets.APIKEY_TANGRAM
};
Credentials cTangram = new Credentials(iamTokenOptionsTangram);
_visualRecognitionTangram = new VisualRecognition(cTangram)
{
VersionDate = "2018-03-19"
};
TokenOptions iamTokenOptionsWaste = new TokenOptions()
{
IamApiKey = Secrets.APIKEY_WASTE
};
Credentials cWaste = new Credentials(iamTokenOptionsWaste);
_visualRecognitionWaste = new VisualRecognition(cWaste)
{
VersionDate = "2018-03-19"
};
}
private IEnumerator CreateService()
{
Credentials credentials = null;
if (!string.IsNullOrEmpty(_apikey))
{
// Authenticate using apikey
credentials = new Credentials(_apikey, _url);
}
else if (!string.IsNullOrEmpty(_iamApikey))
{
// Authenticate using iamApikey
TokenOptions tokenOptions = new TokenOptions()
{
IamApiKey = _iamApikey,
IamUrl = _iamUrl
};
credentials = new Credentials(tokenOptions, _url);
// Wait for tokendata
while (!credentials.HasIamTokenData())
{
yield return(null);
}
}
// Create credential and instantiate service
_visualRecognition = new VisualRecognition(credentials);
_visualRecognition.VersionDate = _versionDate;
Runnable.Run(Examples());
}
void OnEnable()
{
Application.targetFrameRate = 60;
Screen.sleepTimeout = SleepTimeout.NeverSleep;
#if UNITY_ANDROID
QuitOnEscOrBack = true;
#endif
if (m_ARCamera == null)
{
m_ARCamera = GetComponent <Camera>();
}
// Fallback to main camera
if (m_ARCamera == null)
{
m_ARCamera = Camera.main;
}
if (m_ARInterface == null)
{
m_ARInterface = InsightARInterface.GetInterface();
}
if (autoStartAR)
{
DoStartAR();
}
Credentials credentials = new Credentials("IJBxcBtV9wbCvLLS87RZ51Lbwg5ZUIJaunIb1Fb5l-Lw", "https://gateway.watsonplatform.net/visual-recognition/api");
_visualRecognition = new VisualRecognition(credentials);
}
private IEnumerator CreateService()
{
Debug.Log("Starting API Connection");
if (string.IsNullOrEmpty(_iamApikey))
{
throw new WatsonException("Please provide IAM ApiKey for the service.");
}
Credentials credentials = null;
TokenOptions tokenOptions = new TokenOptions()
{
IamApiKey = _iamApikey
};
credentials = new Credentials(tokenOptions, _serviceUrl);
//wait for token
while (!credentials.HasIamTokenData())
{
yield return(null);
}
//create credentials
_visualRecognition = new VisualRecognition(credentials);
_visualRecognition.VersionDate = "2019-03-27";
Debug.Log("Finished API Connection");
classifierIds.Add(classifierId);
}
//private string picURL = "C:\\Users\\Vasanth\\Downloads\\Hassan.jpg";
// Use this for initialization
void Start()
{
Credentials credentials = new Credentials("6b7e212e6ea3425fc358e6f795ec0f99e1b3b558",
"https://gateway-a.watsonplatform.net/visual-recognition/api");
_visualRecognition = new VisualRecognition(credentials);
_visualRecognition.VersionDate = "2016-05-20";
}
void Start()
{
LogSystem.InstallDefaultReactors();
// Create credential and instantiate service
Credentials credentials = new Credentials(_apikey, _url);
_visualRecognition = new VisualRecognition(credentials);
_visualRecognition.VersionDate = _visualRecognitionVersionDate;
Runnable.Run(Examples());
}
public void check()
{
string _apikey = "c5df3c97d2876236f153bc90b911298420ffbfbe";
string _url = "https://gateway-a.watsonplatform.net/visual-recognition/api";
string _visualRecognitionVersionDate = "2016-05-20";
LogSystem.InstallDefaultReactors();
Credentials credentials = new Credentials(_apikey, _url);
_visualRecognition = new VisualRecognition(credentials);
_visualRecognition.VersionDate = _visualRecognitionVersionDate;
StartCoroutine("TakePhoto");
}
// Use this for initialization
void Start()
{
ds = new dbManager("earldb.s3db");
ds.createTable();
emoteSnackbar.SetActive(false);
//defaultBackground = background.texture;
if (comp)
{
credentials = new Credentials("fa0d719942dea6bca4fe74a70b13ef9eff1d84c5", "https://watson-api-explorer.mybluemix.net/visual-recognition/api/v3/classify?");
_visualRecognition = new VisualRecognition(credentials);
_visualRecognition.VersionDate = _visualRecognitionVersionDate;
startFrontCam();
}
}
public override IEnumerator RunTest()
{
LogSystem.InstallDefaultReactors();
VcapCredentials vcapCredentials = new VcapCredentials();
fsData data = null;
string result = null;
string credentialsFilepath = "../sdk-credentials/credentials.json";
// Load credentials file if it exists. If it doesn't exist, don't run the tests.
if (File.Exists(credentialsFilepath))
{
result = File.ReadAllText(credentialsFilepath);
}
else
{
yield break;
}
// Add in a parent object because Unity does not like to deserialize root level collection types.
result = Utility.AddTopLevelObjectToJson(result, "VCAP_SERVICES");
// Convert json to fsResult
fsResult r = fsJsonParser.Parse(result, out data);
if (!r.Succeeded)
{
throw new WatsonException(r.FormattedMessages);
}
// Convert fsResult to VcapCredentials
object obj = vcapCredentials;
r = _serializer.TryDeserialize(data, obj.GetType(), ref obj);
if (!r.Succeeded)
{
throw new WatsonException(r.FormattedMessages);
}
// Set credentials from imported credntials
Credential credential = vcapCredentials.GetCredentialByname("visual-recognition-sdk")[0].Credentials;
_apikey = credential.ApiKey.ToString();
_url = credential.Url.ToString();
// Create credential and instantiate service
Credentials credentials = new Credentials(_apikey, _url);
_visualRecognition = new VisualRecognition(credentials);
_visualRecognition.VersionDate = _visualRecognitionVersionDate;
// Get all classifiers
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to get all classifiers");
if (!_visualRecognition.GetClassifiersBrief(OnGetClassifiers, OnFail))
{
Log.Debug("TestVisualRecognition.GetClassifiers()", "Failed to get all classifiers!");
}
while (!_getClassifiersTested)
{
yield return(null);
}
#if TRAIN_CLASSIFIER
_isClassifierReady = false;
// Train classifier
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to train classifier");
string positiveExamplesPath = Application.dataPath + "/Watson/Examples/ServiceExamples/TestData/visual-recognition-classifiers/giraffe_positive_examples.zip";
string negativeExamplesPath = Application.dataPath + "/Watson/Examples/ServiceExamples/TestData/visual-recognition-classifiers/negative_examples.zip";
Dictionary <string, string> positiveExamples = new Dictionary <string, string>();
positiveExamples.Add("giraffe", positiveExamplesPath);
if (!_visualRecognition.TrainClassifier(OnTrainClassifier, OnFail, "unity-test-classifier-ok-to-delete", positiveExamples, negativeExamplesPath))
{
Log.Debug("TestVisualRecognition.TrainClassifier()", "Failed to train classifier!");
}
while (!_trainClassifierTested)
{
yield return(null);
}
// Find classifier by ID
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to find classifier by ID");
if (!_visualRecognition.GetClassifier(OnGetClassifier, OnFail, _classifierID))
{
Log.Debug("TestVisualRecognition.GetClassifier()", "Failed to get classifier!");
}
while (!_getClassifierTested)
{
yield return(null);
}
//// Download Core ML Model
//Log.Debug("TestVisualRecognition.RunTest()", "Attempting to get Core ML Model");
//if(!_visualRecognition.GetCoreMLModel(OnGetCoreMLModel, OnFail, _classifierID))
// Log.Debug("TestVisualRecognition.GetCoreMLModel()", "Failed to get core ml model!");
//while (!_getCoreMLModelTested)
// yield return null;
#endif
// Classify get
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to get classify via URL");
if (!_visualRecognition.Classify(_imageURL, OnClassifyGet, OnFail))
{
Log.Debug("TestVisualRecognition.Classify()", "Classify image failed!");
}
while (!_classifyGetTested)
{
yield return(null);
}
// Classify post image
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to classify via image on file system");
string imagesPath = Application.dataPath + "/Watson/Examples/ServiceExamples/TestData/visual-recognition-classifiers/giraffe_to_classify.jpg";
string[] owners = { "IBM", "me" };
string[] classifierIDs = { "default", _classifierID };
if (!_visualRecognition.Classify(OnClassifyPost, OnFail, imagesPath, owners, classifierIDs, 0.5f))
{
Log.Debug("TestVisualRecognition.Classify()", "Classify image failed!");
}
while (!_classifyPostTested)
{
yield return(null);
}
// Detect faces get
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to detect faces via URL");
if (!_visualRecognition.DetectFaces(_imageURL, OnDetectFacesGet, OnFail))
{
Log.Debug("TestVisualRecognition.DetectFaces()", "Detect faces failed!");
}
while (!_detectFacesGetTested)
{
yield return(null);
}
// Detect faces post image
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to detect faces via image");
string faceExamplePath = Application.dataPath + "/Watson/Examples/ServiceExamples/TestData/visual-recognition-classifiers/obama.jpg";
if (!_visualRecognition.DetectFaces(OnDetectFacesPost, OnFail, faceExamplePath))
{
Log.Debug("TestVisualRecognition.DetectFaces()", "Detect faces failed!");
}
while (!_detectFacesPostTested)
{
yield return(null);
}
#if DELETE_TRAINED_CLASSIFIER
Runnable.Run(IsClassifierReady(_classifierToDelete));
while (!_isClassifierReady)
{
yield return(null);
}
// Delete classifier by ID
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to delete classifier");
if (!_visualRecognition.DeleteClassifier(OnDeleteClassifier, OnFail, _classifierToDelete))
{
Log.Debug("TestVisualRecognition.DeleteClassifier()", "Failed to delete classifier!");
}
while (!_deleteClassifierTested)
{
yield return(null);
}
#endif
Log.Debug("TestVisualRecognition.RunTest()", "Visual Recogition tests complete");
yield break;
}
public override IEnumerator RunTest()
{
LogSystem.InstallDefaultReactors();
VcapCredentials vcapCredentials = new VcapCredentials();
fsData data = null;
string result = null;
var vcapUrl = Environment.GetEnvironmentVariable("VCAP_URL");
var vcapUsername = Environment.GetEnvironmentVariable("VCAP_USERNAME");
var vcapPassword = Environment.GetEnvironmentVariable("VCAP_PASSWORD");
using (SimpleGet simpleGet = new SimpleGet(vcapUrl, vcapUsername, vcapPassword))
{
while (!simpleGet.IsComplete)
{
yield return(null);
}
result = simpleGet.Result;
}
// Add in a parent object because Unity does not like to deserialize root level collection types.
result = Utility.AddTopLevelObjectToJson(result, "VCAP_SERVICES");
// Convert json to fsResult
fsResult r = fsJsonParser.Parse(result, out data);
if (!r.Succeeded)
{
throw new WatsonException(r.FormattedMessages);
}
// Convert fsResult to VcapCredentials
object obj = vcapCredentials;
r = _serializer.TryDeserialize(data, obj.GetType(), ref obj);
if (!r.Succeeded)
{
throw new WatsonException(r.FormattedMessages);
}
// Set credentials from imported credntials
Credential credential = vcapCredentials.VCAP_SERVICES["visual_recognition"];
_apikey = credential.Apikey.ToString();
_url = credential.Url.ToString();
// Create credential and instantiate service
Credentials credentials = new Credentials(_apikey, _url);
_visualRecognition = new VisualRecognition(credentials);
_visualRecognition.VersionDate = _visualRecognitionVersionDate;
// Get all classifiers
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to get all classifiers");
if (!_visualRecognition.GetClassifiersBrief(OnGetClassifiers, OnFail))
{
Log.Debug("TestVisualRecognition.GetClassifiers()", "Failed to get all classifiers!");
}
while (!_getClassifiersTested)
{
yield return(null);
}
#if TRAIN_CLASSIFIER
// Train classifier
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to train classifier");
string positiveExamplesPath = Application.dataPath + "/Watson/Examples/ServiceExamples/TestData/visual-recognition-classifiers/giraffe_positive_examples.zip";
string negativeExamplesPath = Application.dataPath + "/Watson/Examples/ServiceExamples/TestData/visual-recognition-classifiers/negative_examples.zip";
Dictionary <string, string> positiveExamples = new Dictionary <string, string>();
positiveExamples.Add("giraffe", positiveExamplesPath);
if (!_visualRecognition.TrainClassifier(OnTrainClassifier, OnFail, "unity-test-classifier-example", positiveExamples, negativeExamplesPath))
{
Log.Debug("TestVisualRecognition.TrainClassifier()", "Failed to train classifier!");
}
while (!_trainClassifierTested)
{
yield return(null);
}
// Find classifier by ID
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to find classifier by ID");
if (!_visualRecognition.GetClassifier(OnGetClassifier, OnFail, _classifierID))
{
Log.Debug("TestVisualRecognition.GetClassifier()", "Failed to get classifier!");
}
while (!_getClassifierTested)
{
yield return(null);
}
// Download Core ML Model
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to get Core ML Model");
if (!_visualRecognition.GetCoreMLModel(OnGetCoreMLModel, OnFail, _classifierID))
{
Log.Debug("TestVisualRecognition.GetCoreMLModel()", "Failed to get core ml model!");
}
while (!_getCoreMLModelTested)
{
yield return(null);
}
#endif
// Classify get
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to get classify via URL");
if (!_visualRecognition.Classify(_imageURL, OnClassifyGet, OnFail))
{
Log.Debug("TestVisualRecognition.Classify()", "Classify image failed!");
}
while (!_classifyGetTested)
{
yield return(null);
}
// Classify post image
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to classify via image on file system");
string imagesPath = Application.dataPath + "/Watson/Examples/ServiceExamples/TestData/visual-recognition-classifiers/giraffe_to_classify.jpg";
string[] owners = { "IBM", "me" };
string[] classifierIDs = { "default", _classifierID };
if (!_visualRecognition.Classify(OnClassifyPost, OnFail, imagesPath, owners, classifierIDs, 0.5f))
{
Log.Debug("TestVisualRecognition.Classify()", "Classify image failed!");
}
while (!_classifyPostTested)
{
yield return(null);
}
// Detect faces get
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to detect faces via URL");
if (!_visualRecognition.DetectFaces(_imageURL, OnDetectFacesGet, OnFail))
{
Log.Debug("TestVisualRecognition.DetectFaces()", "Detect faces failed!");
}
while (!_detectFacesGetTested)
{
yield return(null);
}
// Detect faces post image
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to detect faces via image");
string faceExamplePath = Application.dataPath + "/Watson/Examples/ServiceExamples/TestData/visual-recognition-classifiers/obama.jpg";
if (!_visualRecognition.DetectFaces(OnDetectFacesPost, OnFail, faceExamplePath))
{
Log.Debug("TestVisualRecognition.DetectFaces()", "Detect faces failed!");
}
while (!_detectFacesPostTested)
{
yield return(null);
}
#if DELETE_TRAINED_CLASSIFIER
#region Delay
Runnable.Run(Delay(_delayTime));
while (_isWaitingForDelay)
{
yield return(null);
}
#endregion
// Delete classifier by ID
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to delete classifier");
if (!_visualRecognition.DeleteClassifier(OnDeleteClassifier, OnFail, _classifierToDelete))
{
Log.Debug("TestVisualRecognition.DeleteClassifier()", "Failed to delete classifier!");
}
while (!_deleteClassifierTested)
{
yield return(null);
}
#endif
Log.Debug("TestVisualRecognition.RunTest()", "Visual Recogition tests complete");
yield break;
}
public override IEnumerator RunTest()
{
LogSystem.InstallDefaultReactors();
try
{
VcapCredentials vcapCredentials = new VcapCredentials();
fsData data = null;
// Get credentials from a credential file defined in environmental variables in the VCAP_SERVICES format.
// See https://www.ibm.com/watson/developercloud/doc/common/getting-started-variables.html.
var environmentalVariable = Environment.GetEnvironmentVariable("VCAP_SERVICES");
var fileContent = File.ReadAllText(environmentalVariable);
// Add in a parent object because Unity does not like to deserialize root level collection types.
fileContent = Utility.AddTopLevelObjectToJson(fileContent, "VCAP_SERVICES");
// Convert json to fsResult
fsResult r = fsJsonParser.Parse(fileContent, out data);
if (!r.Succeeded)
{
throw new WatsonException(r.FormattedMessages);
}
// Convert fsResult to VcapCredentials
object obj = vcapCredentials;
r = _serializer.TryDeserialize(data, obj.GetType(), ref obj);
if (!r.Succeeded)
{
throw new WatsonException(r.FormattedMessages);
}
// Set credentials from imported credntials
Credential credential = vcapCredentials.VCAP_SERVICES["visual_recognition"][TestCredentialIndex].Credentials;
_apikey = credential.Apikey.ToString();
_url = credential.Url.ToString();
}
catch
{
Log.Debug("TestVisualRecognition.RunTest()", "Failed to get credentials from VCAP_SERVICES file. Please configure credentials to run this test. For more information, see: https://github.com/watson-developer-cloud/unity-sdk/#authentication");
}
// Create credential and instantiate service
Credentials credentials = new Credentials(_apikey, _url);
_visualRecognition = new VisualRecognition(credentials);
_visualRecognition.VersionDate = _visualRecognitionVersionDate;
// Get all classifiers
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to get all classifiers");
if (!_visualRecognition.GetClassifiers(OnGetClassifiers, OnFail))
{
Log.Debug("TestVisualRecognition.GetClassifiers()", "Failed to get all classifiers!");
}
while (!_getClassifiersTested)
{
yield return(null);
}
#if TRAIN_CLASSIFIER
// Train classifier
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to train classifier");
string positiveExamplesPath = Application.dataPath + "/Watson/Examples/ServiceExamples/TestData/visual-recognition-classifiers/giraffe_positive_examples.zip";
string negativeExamplesPath = Application.dataPath + "/Watson/Examples/ServiceExamples/TestData/visual-recognition-classifiers/negative_examples.zip";
Dictionary <string, string> positiveExamples = new Dictionary <string, string>();
positiveExamples.Add("giraffe", positiveExamplesPath);
if (!_visualRecognition.TrainClassifier(OnTrainClassifier, OnFail, "unity-test-classifier-example", positiveExamples, negativeExamplesPath))
{
Log.Debug("TestVisualRecognition.TrainClassifier()", "Failed to train classifier!");
}
while (!_trainClassifierTested)
{
yield return(null);
}
// Find classifier by ID
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to find classifier by ID");
if (!_visualRecognition.GetClassifier(OnGetClassifier, OnFail, _classifierID))
{
Log.Debug("TestVisualRecognition.GetClassifier()", "Failed to get classifier!");
}
while (!_getClassifierTested)
{
yield return(null);
}
#endif
// Classify get
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to get classify via URL");
if (!_visualRecognition.Classify(_imageURL, OnClassifyGet, OnFail))
{
Log.Debug("TestVisualRecognition.Classify()", "Classify image failed!");
}
while (!_classifyGetTested)
{
yield return(null);
}
// Classify post image
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to classify via image on file system");
string imagesPath = Application.dataPath + "/Watson/Examples/ServiceExamples/TestData/visual-recognition-classifiers/giraffe_to_classify.jpg";
string[] owners = { "IBM", "me" };
string[] classifierIDs = { "default", _classifierID };
if (!_visualRecognition.Classify(OnClassifyPost, OnFail, imagesPath, owners, classifierIDs, 0.5f))
{
Log.Debug("TestVisualRecognition.Classify()", "Classify image failed!");
}
while (!_classifyPostTested)
{
yield return(null);
}
// Detect faces get
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to detect faces via URL");
if (!_visualRecognition.DetectFaces(_imageURL, OnDetectFacesGet, OnFail))
{
Log.Debug("TestVisualRecognition.DetectFaces()", "Detect faces failed!");
}
while (!_detectFacesGetTested)
{
yield return(null);
}
// Detect faces post image
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to detect faces via image");
string faceExamplePath = Application.dataPath + "/Watson/Examples/ServiceExamples/TestData/visual-recognition-classifiers/obama.jpg";
if (!_visualRecognition.DetectFaces(OnDetectFacesPost, OnFail, faceExamplePath))
{
Log.Debug("TestVisualRecognition.DetectFaces()", "Detect faces failed!");
}
while (!_detectFacesPostTested)
{
yield return(null);
}
#if DELETE_TRAINED_CLASSIFIER
#region Delay
Runnable.Run(Delay(_delayTime));
while (_isWaitingForDelay)
{
yield return(null);
}
#endregion
// Delete classifier by ID
Log.Debug("TestVisualRecognition.RunTest()", "Attempting to delete classifier");
if (!_visualRecognition.DeleteClassifier(OnDeleteClassifier, OnFail, _classifierToDelete))
{
Log.Debug("TestVisualRecognition.DeleteClassifier()", "Failed to delete classifier!");
}
while (!_deleteClassifierTested)
{
yield return(null);
}
#endif
Log.Debug("TestVisualRecognition.RunTest()", "Visual Recogition tests complete");
yield break;
}
void Start()
{
m_VisualRecognition = new VisualRecognition();
}
void Awake()
{
Debug.Assert(m_WebCamWidget != null, "[Controller]: Web camera widget is not assigned");
m_VisualRecognition = new VisualRecognition();
}
