public void GetEmotionInputTest()
{
var imagePath = @"E:\Senparc\AzureDemo\WebSite\Senparc.Web\Upload\Emotion\img.jpg";
var dt1 = DateTime.Now;
Console.WriteLine("Begin DateTime:{0}".With(dt1));
for (var i = 0; i < 10; i++)
{
//Thread thread = new Thread(() =>
//{
var dt2 = DateTime.Now;
Console.WriteLine("Async DateTime:{0}".With(dt2));
var emotion = EmotionApi.UploadAndStreamDetectEmotionsAsync(imagePath);
Console.WriteLine("=========={0}".With(emotion.Result.ToJson()));
Console.WriteLine("End Async DateTime:{0}".With((DateTime.Now - dt1).TotalMilliseconds));
//});
//thread.Start();
//var module = new EmotionApiModule();
//var result = _workFlowModuleService.GetEmotionInput(emotion[0]);
//Assert.IsNotNull(result);
//foreach (var parameter in result)
//{
// Console.WriteLine("=========={0}:{1}".With(parameter.Name, parameter.Value));
//}
}
Console.WriteLine("End DateTime:{0}".With((DateTime.Now - dt1).TotalMilliseconds));
}
public HowAreYouDialog(SentimentAnalysisService sentimentAnalysisService, EmotionApi emotionApi)
: base("HowAreYou")
{
Check.Required <ArgumentNullException>(() => sentimentAnalysisService != null);
Check.Required <ArgumentNullException>(() => emotionApi != null);
_sentimentAnalysisService = sentimentAnalysisService;
_emotionApi = emotionApi;
}
/// <summary>
/// Uploads the image stored from the properties here and returns a representation
/// of the object data.
/// </summary>
/// <returns></returns>
public async Task UploadAndAnalyzeImageAsync()
{
try
{
IsProgressBarEnabled = true;
//receive the JSON string if successful.
string rawData = await EmotionApi.PostImageAsync(SelectedImage, ImageBytes);
// From the derived raw string of JSON from the server, it will be
// deserialized to the model. See Model/EmotionData.cs for the definition files.
//
// Before implementing this, you have to go to:
// Tools->Package Manager->Package Manager Console
// then type (without quotes) "Install-Package Newtonsoft.Json".
// Ctrl + period when necessary.
List <EmotionData> people = JsonConvert.DeserializeObject <List <EmotionData> >(rawData);
// Now let's translate the data from the server to the RectGeometry property
// of each EmotionData, which represents the list of heads and their emotions,
// based on the API.
foreach (var emotion in people)
{
// create a geometry
RectangleGeometry geom = new RectangleGeometry();
geom.Rect = new Windows.Foundation.Rect(emotion.FaceRectangle.Left, emotion.FaceRectangle.Top, emotion.FaceRectangle.Width, emotion.FaceRectangle.Height);
// attach the geometry to the property
emotion.RectGeometry = geom;
}
IsProgressBarEnabled = false;
// The emotion data is now being assigned to the observable collection
// where the overlay of rectangles will be bound to.
DetectedFaces = new ObservableCollection <EmotionData>(people);
}
catch (Exception ex)
{
throw ex;
}
}
/// <summary>
/// 获取Api返回的Input[根据下面所有的工作项需要返回]
/// </summary>
/// <param name="fullAccountWorkFlow"></param>
/// <param name="picValue"></param>
/// <param name="currentModule"></param>
/// <returns></returns>
private async Task <Input> GetMoodsApiModuleInputAsync(FullAccountWorkFlow fullAccountWorkFlow, string picValue,
BaseModule currentModule)
{
if (picValue == null || fullAccountWorkFlow.Input.All(z => z.Name != picValue))
{
throw new Exception("输入参数节点有误认知服务{0}！".With(currentModule.Step));
}
var inputPic = fullAccountWorkFlow.Input.FirstOrDefault(z => z.Name == picValue);
var picUrl = Convert.ToString(inputPic.Value);
var absoluteUrl = Server.GetMapPath(picUrl.StartsWith("~/") ? picUrl : "~" + picUrl);
var emotionArray = await EmotionApi.UploadAndStreamDetectEmotionsAsync(absoluteUrl); //TODO:调用Azure情绪识别API
if (emotionArray == null || emotionArray.Length <= 0)
{
Log.LogUtility.DebugLogger.Info("图片路径：{0}！".With(absoluteUrl));
throw new Exception("您上传的图片没有监测到面部表情！");
}
var currentInput = GetEmotionInput(emotionArray[0]);
return(currentInput);
}
public void UploadAndStreamDetectEmotionsTest()
{
var imageFilePath = @"E:\Senparc\AzureDemo\WebSite\Senparc.Web\Upload\Emotion\happy.jpg";
Console.WriteLine("Begin Time: {0}", DateTime.Now);
var result = EmotionApi.UploadAndStreamDetectEmotions(imageFilePath);
Console.WriteLine("End Time: {0}", DateTime.Now);
Assert.IsNotNull(result);
foreach (var item in result)
{
Console.WriteLine(
"FaceRectangle=======Height：{0}====Width：{1}====Left：{2}====Top：{3}".With(
item.FaceRectangle.Height, item.FaceRectangle.Width,
item.FaceRectangle.Left, item.FaceRectangle.Top));
foreach (var keyValuePair in item.Scores.ToRankedList())
{
Console.WriteLine("Scores===={0}：{1}".With(keyValuePair.Key, keyValuePair.Value));
}
Console.WriteLine("=============================");
}
}
