视觉识别错误400（vmodel-idheader必须是non-empty）
Visual Recognition Error 400 (vmodel-id header must be non-empty)
当我尝试 运行 在 IBM Watson Github 上找到的示例视觉识别脚本时遇到错误。可以在此处找到错误：
我正在 运行使用 IBM Watson Unity SDK 编写脚本。错误代码为 400，并指出
Invalid Request: provided vmodel-id header must be non-empty.
我不知道是什么导致了这个错误，因为任何代码中都没有 vmodel-id。
代码与网站上的示例相同，减去 API 信息等。供参考：
**
* Copyright 2015 IBM Corp. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*/
#pragma warning disable 0649
// Uncomment to train a new classifier
//#define TRAIN_CLASSIFIER
// Uncommnent to delete the trained classifier
//#define DELETE_TRAINED_CLASSIFIER
using UnityEngine;
using System.Collections;
using IBM.Watson.DeveloperCloud.Services.VisualRecognition.v3;
using IBM.Watson.DeveloperCloud.Logging;
using IBM.Watson.DeveloperCloud.Utilities;
using System.Collections.Generic;
using IBM.Watson.DeveloperCloud.Connection;
public class ExampleVisualRecognition : MonoBehaviour
{
#region PLEASE SET THESE VARIABLES IN THE INSPECTOR
[Space(10)]
[Tooltip("The service URL (optional). This defaults to \"https://gateway.watsonplatform.net/visual-recognition/ap\"")]
[SerializeField]
private string _serviceUrl;
[Tooltip("The version date with which you would like to use the service in the form YYYY-MM-DD.")]
[SerializeField]
private string _versionDate;
[Header("IAM Authentication")]
[Tooltip("The IAM apikey.")]
[SerializeField]
private string _iamApikey;
#endregion
private VisualRecognition _visualRecognition;
private string _classifierID = "";
private string _imageURL = "https://upload.wikimedia.org/wikipedia/commons/e/e9/Official_portrait_of_Barack_Obama.jpg";
#if TRAIN_CLASSIFIER
private string _coreMLDownloadPath = "";
#endif
#if DELETE_TRAINED_CLASSIFIER
private string _classifierToDelete;
#endif
private bool _getClassifiersTested = false;
#if TRAIN_CLASSIFIER
private bool _trainClassifierTested = false;
private bool _getClassifierTested = false;
#endif
#if DELETE_TRAINED_CLASSIFIER
private bool _deleteClassifierTested = false;
#endif
private bool _classifyGetTested = false;
private bool _classifyPostTested = false;
private bool _detectFacesGetTested = false;
private bool _detectFacesPostTested = false;
#if TRAIN_CLASSIFIER
private bool _getCoreMLModelTested = false;
private bool _isClassifierReady = false;
#endif
void Start()
{
LogSystem.InstallDefaultReactors();
Runnable.Run(CreateService());
}
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 Examples()
{
// Get all classifiers
Log.Debug("ExampleVisualRecognition.Examples()", "Attempting to get all classifiers");
if (!_visualRecognition.GetClassifiersBrief(OnGetClassifiers, OnFail))
Log.Debug("ExampleVisualRecognition.GetClassifiers()", "Failed to get all classifiers!");
while (!_getClassifiersTested)
yield return null;
#if TRAIN_CLASSIFIER
// Train classifier
Log.Debug("ExampleVisualRecognition.Examples()", "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("ExampleVisualRecognition.TrainClassifier()", "Failed to train classifier!");
while (!_trainClassifierTested)
yield return null;
// Find classifier by ID
Log.Debug("ExampleVisualRecognition.Examples()", "Attempting to find classifier by ID");
if (!_visualRecognition.GetClassifier(OnGetClassifier, OnFail, _classifierID))
Log.Debug("ExampleVisualRecognition.GetClassifier()", "Failed to get classifier!");
while (!_getClassifierTested)
yield return null;
#endif
// Classify get
Log.Debug("ExampleVisualRecognition.Examples()", "Attempting to get classify via URL");
if (!_visualRecognition.Classify(_imageURL, OnClassifyGet, OnFail))
Log.Debug("ExampleVisualRecognition.Classify()", "Classify image failed!");
while (!_classifyGetTested)
yield return null;
// Classify post image
Log.Debug("ExampleVisualRecognition.Examples()", "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("ExampleVisualRecognition.Classify()", "Classify image failed!");
while (!_classifyPostTested)
yield return null;
// Detect faces get
Log.Debug("ExampleVisualRecognition.Examples()", "Attempting to detect faces via URL");
if (!_visualRecognition.DetectFaces(_imageURL, OnDetectFacesGet, OnFail, "es"))
Log.Debug("ExampleVisualRecognition.DetectFaces()", "Detect faces failed!");
while (!_detectFacesGetTested)
yield return null;
// Detect faces post image
Log.Debug("ExampleVisualRecognition.Examples()", "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, "es"))
Log.Debug("ExampleVisualRecognition.DetectFaces()", "Detect faces failed!");
while (!_detectFacesPostTested)
yield return null;
#if DELETE_TRAINED_CLASSIFIER
Runnable.Run(IsClassifierReady(_classifierToDelete));
while (!_isClassifierReady)
yield return null;
// Download Core ML Model
Log.Debug("ExampleVisualRecognition.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;
// Delete classifier by ID
Log.Debug("ExampleVisualRecognition.Examples()", "Attempting to delete classifier");
if (!_visualRecognition.DeleteClassifier(OnDeleteClassifier, OnFail, _classifierToDelete))
Log.Debug("ExampleVisualRecognition.DeleteClassifier()", "Failed to delete classifier!");
while (!_deleteClassifierTested)
yield return null;
#endif
Log.Debug("ExampleVisualRecognition.Examples()", "Visual Recogition tests complete");
}
private void OnGetClassifiers(ClassifiersBrief classifiers, Dictionary<string, object> customData)
{
Log.Debug("ExampleVisualRecognition.OnGetClassifiers()", "VisualRecognition - GetClassifiers Response: {0}", customData["json"].ToString());
_getClassifiersTested = true;
}
#if DELETE_TRAINED_CLASSIFIER
private void OnGetClassifier(ClassifierVerbose classifier, Dictionary<string, object> customData)
{
Log.Debug("ExampleVisualRecognition.OnGetClassifier()", "VisualRecognition - GetClassifier Response: {0}", customData["json"].ToString());
_getClassifierTested = true;
}
#endif
#if DELETE_TRAINED_CLASSIFIER
private void OnDeleteClassifier(bool success, Dictionary<string, object> customData)
{
Log.Debug("ExampleVisualRecognition.OnDeleteClassifier()", "{0}", success);
_deleteClassifierTested = true;
}
#endif
#if TRAIN_CLASSIFIER
private void OnTrainClassifier(ClassifierVerbose classifier, Dictionary<string, object> customData)
{
Log.Debug("ExampleVisualRecognition.OnTrainClassifier()", "{0}", customData["json"].ToString());
#if DELETE_TRAINED_CLASSIFIER
_classifierToDelete = classifier.classifier_id;
#endif
_classifierID = classifier.classifier_id;
_trainClassifierTested = true;
}
#endif
private void OnClassifyGet(ClassifiedImages classify, Dictionary<string, object> customData)
{
Log.Debug("ExampleVisualRecognition.OnClassifyGet()", "{0}", customData["json"].ToString());
_classifyGetTested = true;
}
private void OnClassifyPost(ClassifiedImages classify, Dictionary<string, object> customData)
{
Log.Debug("ExampleVisualRecognition.OnClassifyPost()", "{0}", customData["json"].ToString());
_classifyPostTested = true;
}
private void OnDetectFacesGet(DetectedFaces multipleImages, Dictionary<string, object> customData)
{
Log.Debug("ExampleVisualRecognition.OnDetectFacesGet()", "{0}", customData["json"].ToString());
_detectFacesGetTested = true;
}
private void OnDetectFacesPost(DetectedFaces multipleImages, Dictionary<string, object> customData)
{
Log.Debug("ExampleVisualRecognition.OnDetectFacesPost()", "{0}", customData["json"].ToString());
_detectFacesPostTested = true;
}
#if DELETE_TRAINED_CLASSIFIER
private void OnGetCoreMLModel(byte[] resp, Dictionary<string, object> customData)
{
Log.Debug("ExampleVisualRecognition.OnGetCoreMLModel()", "SUCCESS!");
_getCoreMLModelTested = true;
}
#endif
#if DELETE_TRAINED_CLASSIFIER
#region Is Classifier Ready
// Checking if classifier is ready before deletion due to a known bug in the Visual Recognition service where
// if a classifier is deleted before it is `ready` or `failed` the classifier will still exist in object storage
// but will be inaccessable to the user.
private IEnumerator IsClassifierReady(string classifierId)
{
Log.Debug("TestVisualRecognition.IsClassifierReady()", "Checking if classifier is ready in 15 seconds...");
yield return new WaitForSeconds(15f);
Dictionary<string, object> customData = new Dictionary<string, object>();
customData.Add("classifierId", classifierId);
if (!_visualRecognition.GetClassifier(OnCheckIfClassifierIsReady, OnFailCheckingIfClassifierIsReady, classifierId))
IsClassifierReady(classifierId);
}
private void OnCheckIfClassifierIsReady(ClassifierVerbose response, Dictionary<string, object> customData)
{
Log.Debug("TestVisualRecognition.IsClassifierReady()", "Classifier status is {0}", response.status);
if (response.status == "ready" || response.status == "failed")
{
_isClassifierReady = true;
}
else
{
Runnable.Run(IsClassifierReady(response.classifier_id));
}
}
private void OnFailCheckingIfClassifierIsReady(RESTConnector.Error error, Dictionary<string, object> customData)
{
IsClassifierReady(_classifierToDelete);
}
#endregion
#endif
private void OnFail(RESTConnector.Error error, Dictionary<string, object> customData)
{
Log.Error("ExampleRetrieveAndRank.OnFail()", "Error received: {0}", error.ToString());
}
}
示例中有错误。当 classify 运行时，不存在 classifierID，因此调用发送的数据不正确。 SDK 存储库中出现 issue。请更改 ExampleVisualRecognition.cs
中的第 155 行
string[] classifierIDs = { "default", _classifierID };
到
string[] classifierIDs = { "default" };
此问题已在 this pull request 中得到解决，如果您从 master 下载最新版本，则可以使用修复程序。
当我尝试 运行 在 IBM Watson Github 上找到的示例视觉识别脚本时遇到错误。可以在此处找到错误：
我正在 运行使用 IBM Watson Unity SDK 编写脚本。错误代码为 400，并指出
Invalid Request: provided vmodel-id header must be non-empty.
我不知道是什么导致了这个错误，因为任何代码中都没有 vmodel-id。
代码与网站上的示例相同，减去 API 信息等。供参考：
**
* Copyright 2015 IBM Corp. All Rights Reserved.
*
* Licensed under the Apache License, Version 2.0 (the "License");
* you may not use this file except in compliance with the License.
* You may obtain a copy of the License at
*
* http://www.apache.org/licenses/LICENSE-2.0
*
* Unless required by applicable law or agreed to in writing, software
* distributed under the License is distributed on an "AS IS" BASIS,
* WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
* See the License for the specific language governing permissions and
* limitations under the License.
*
*/
#pragma warning disable 0649
// Uncomment to train a new classifier
//#define TRAIN_CLASSIFIER
// Uncommnent to delete the trained classifier
//#define DELETE_TRAINED_CLASSIFIER
using UnityEngine;
using System.Collections;
using IBM.Watson.DeveloperCloud.Services.VisualRecognition.v3;
using IBM.Watson.DeveloperCloud.Logging;
using IBM.Watson.DeveloperCloud.Utilities;
using System.Collections.Generic;
using IBM.Watson.DeveloperCloud.Connection;
public class ExampleVisualRecognition : MonoBehaviour
{
#region PLEASE SET THESE VARIABLES IN THE INSPECTOR
[Space(10)]
[Tooltip("The service URL (optional). This defaults to \"https://gateway.watsonplatform.net/visual-recognition/ap\"")]
[SerializeField]
private string _serviceUrl;
[Tooltip("The version date with which you would like to use the service in the form YYYY-MM-DD.")]
[SerializeField]
private string _versionDate;
[Header("IAM Authentication")]
[Tooltip("The IAM apikey.")]
[SerializeField]
private string _iamApikey;
#endregion
private VisualRecognition _visualRecognition;
private string _classifierID = "";
private string _imageURL = "https://upload.wikimedia.org/wikipedia/commons/e/e9/Official_portrait_of_Barack_Obama.jpg";
#if TRAIN_CLASSIFIER
private string _coreMLDownloadPath = "";
#endif
#if DELETE_TRAINED_CLASSIFIER
private string _classifierToDelete;
#endif
private bool _getClassifiersTested = false;
#if TRAIN_CLASSIFIER
private bool _trainClassifierTested = false;
private bool _getClassifierTested = false;
#endif
#if DELETE_TRAINED_CLASSIFIER
private bool _deleteClassifierTested = false;
#endif
private bool _classifyGetTested = false;
private bool _classifyPostTested = false;
private bool _detectFacesGetTested = false;
private bool _detectFacesPostTested = false;
#if TRAIN_CLASSIFIER
private bool _getCoreMLModelTested = false;
private bool _isClassifierReady = false;
#endif
void Start()
{
LogSystem.InstallDefaultReactors();
Runnable.Run(CreateService());
}
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 Examples()
{
// Get all classifiers
Log.Debug("ExampleVisualRecognition.Examples()", "Attempting to get all classifiers");
if (!_visualRecognition.GetClassifiersBrief(OnGetClassifiers, OnFail))
Log.Debug("ExampleVisualRecognition.GetClassifiers()", "Failed to get all classifiers!");
while (!_getClassifiersTested)
yield return null;
#if TRAIN_CLASSIFIER
// Train classifier
Log.Debug("ExampleVisualRecognition.Examples()", "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("ExampleVisualRecognition.TrainClassifier()", "Failed to train classifier!");
while (!_trainClassifierTested)
yield return null;
// Find classifier by ID
Log.Debug("ExampleVisualRecognition.Examples()", "Attempting to find classifier by ID");
if (!_visualRecognition.GetClassifier(OnGetClassifier, OnFail, _classifierID))
Log.Debug("ExampleVisualRecognition.GetClassifier()", "Failed to get classifier!");
while (!_getClassifierTested)
yield return null;
#endif
// Classify get
Log.Debug("ExampleVisualRecognition.Examples()", "Attempting to get classify via URL");
if (!_visualRecognition.Classify(_imageURL, OnClassifyGet, OnFail))
Log.Debug("ExampleVisualRecognition.Classify()", "Classify image failed!");
while (!_classifyGetTested)
yield return null;
// Classify post image
Log.Debug("ExampleVisualRecognition.Examples()", "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("ExampleVisualRecognition.Classify()", "Classify image failed!");
while (!_classifyPostTested)
yield return null;
// Detect faces get
Log.Debug("ExampleVisualRecognition.Examples()", "Attempting to detect faces via URL");
if (!_visualRecognition.DetectFaces(_imageURL, OnDetectFacesGet, OnFail, "es"))
Log.Debug("ExampleVisualRecognition.DetectFaces()", "Detect faces failed!");
while (!_detectFacesGetTested)
yield return null;
// Detect faces post image
Log.Debug("ExampleVisualRecognition.Examples()", "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, "es"))
Log.Debug("ExampleVisualRecognition.DetectFaces()", "Detect faces failed!");
while (!_detectFacesPostTested)
yield return null;
#if DELETE_TRAINED_CLASSIFIER
Runnable.Run(IsClassifierReady(_classifierToDelete));
while (!_isClassifierReady)
yield return null;
// Download Core ML Model
Log.Debug("ExampleVisualRecognition.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;
// Delete classifier by ID
Log.Debug("ExampleVisualRecognition.Examples()", "Attempting to delete classifier");
if (!_visualRecognition.DeleteClassifier(OnDeleteClassifier, OnFail, _classifierToDelete))
Log.Debug("ExampleVisualRecognition.DeleteClassifier()", "Failed to delete classifier!");
while (!_deleteClassifierTested)
yield return null;
#endif
Log.Debug("ExampleVisualRecognition.Examples()", "Visual Recogition tests complete");
}
private void OnGetClassifiers(ClassifiersBrief classifiers, Dictionary<string, object> customData)
{
Log.Debug("ExampleVisualRecognition.OnGetClassifiers()", "VisualRecognition - GetClassifiers Response: {0}", customData["json"].ToString());
_getClassifiersTested = true;
}
#if DELETE_TRAINED_CLASSIFIER
private void OnGetClassifier(ClassifierVerbose classifier, Dictionary<string, object> customData)
{
Log.Debug("ExampleVisualRecognition.OnGetClassifier()", "VisualRecognition - GetClassifier Response: {0}", customData["json"].ToString());
_getClassifierTested = true;
}
#endif
#if DELETE_TRAINED_CLASSIFIER
private void OnDeleteClassifier(bool success, Dictionary<string, object> customData)
{
Log.Debug("ExampleVisualRecognition.OnDeleteClassifier()", "{0}", success);
_deleteClassifierTested = true;
}
#endif
#if TRAIN_CLASSIFIER
private void OnTrainClassifier(ClassifierVerbose classifier, Dictionary<string, object> customData)
{
Log.Debug("ExampleVisualRecognition.OnTrainClassifier()", "{0}", customData["json"].ToString());
#if DELETE_TRAINED_CLASSIFIER
_classifierToDelete = classifier.classifier_id;
#endif
_classifierID = classifier.classifier_id;
_trainClassifierTested = true;
}
#endif
private void OnClassifyGet(ClassifiedImages classify, Dictionary<string, object> customData)
{
Log.Debug("ExampleVisualRecognition.OnClassifyGet()", "{0}", customData["json"].ToString());
_classifyGetTested = true;
}
private void OnClassifyPost(ClassifiedImages classify, Dictionary<string, object> customData)
{
Log.Debug("ExampleVisualRecognition.OnClassifyPost()", "{0}", customData["json"].ToString());
_classifyPostTested = true;
}
private void OnDetectFacesGet(DetectedFaces multipleImages, Dictionary<string, object> customData)
{
Log.Debug("ExampleVisualRecognition.OnDetectFacesGet()", "{0}", customData["json"].ToString());
_detectFacesGetTested = true;
}
private void OnDetectFacesPost(DetectedFaces multipleImages, Dictionary<string, object> customData)
{
Log.Debug("ExampleVisualRecognition.OnDetectFacesPost()", "{0}", customData["json"].ToString());
_detectFacesPostTested = true;
}
#if DELETE_TRAINED_CLASSIFIER
private void OnGetCoreMLModel(byte[] resp, Dictionary<string, object> customData)
{
Log.Debug("ExampleVisualRecognition.OnGetCoreMLModel()", "SUCCESS!");
_getCoreMLModelTested = true;
}
#endif
#if DELETE_TRAINED_CLASSIFIER
#region Is Classifier Ready
// Checking if classifier is ready before deletion due to a known bug in the Visual Recognition service where
// if a classifier is deleted before it is `ready` or `failed` the classifier will still exist in object storage
// but will be inaccessable to the user.
private IEnumerator IsClassifierReady(string classifierId)
{
Log.Debug("TestVisualRecognition.IsClassifierReady()", "Checking if classifier is ready in 15 seconds...");
yield return new WaitForSeconds(15f);
Dictionary<string, object> customData = new Dictionary<string, object>();
customData.Add("classifierId", classifierId);
if (!_visualRecognition.GetClassifier(OnCheckIfClassifierIsReady, OnFailCheckingIfClassifierIsReady, classifierId))
IsClassifierReady(classifierId);
}
private void OnCheckIfClassifierIsReady(ClassifierVerbose response, Dictionary<string, object> customData)
{
Log.Debug("TestVisualRecognition.IsClassifierReady()", "Classifier status is {0}", response.status);
if (response.status == "ready" || response.status == "failed")
{
_isClassifierReady = true;
}
else
{
Runnable.Run(IsClassifierReady(response.classifier_id));
}
}
private void OnFailCheckingIfClassifierIsReady(RESTConnector.Error error, Dictionary<string, object> customData)
{
IsClassifierReady(_classifierToDelete);
}
#endregion
#endif
private void OnFail(RESTConnector.Error error, Dictionary<string, object> customData)
{
Log.Error("ExampleRetrieveAndRank.OnFail()", "Error received: {0}", error.ToString());
}
}
示例中有错误。当 classify 运行时，不存在 classifierID，因此调用发送的数据不正确。 SDK 存储库中出现 issue。请更改 ExampleVisualRecognition.cs
中的第 155 行string[] classifierIDs = { "default", _classifierID };
到
string[] classifierIDs = { "default" };
此问题已在 this pull request 中得到解决，如果您从 master 下载最新版本，则可以使用修复程序。