|
public GetOperationResultAsync ( Microsoft.ProjectOxford.Video.Contract.Operation operation ) : Task |
||
| operation | Microsoft.ProjectOxford.Video.Contract.Operation | The operation. |
| return | Task |
|
// -----------------------------------------------------------------------
// KEY SAMPLE CODE STARTS HERE
// -----------------------------------------------------------------------
private async Task DetectFaces(string subscriptionKey, string filePath)
{
_dataContext.IsWorking = true;
_dataContext.SourceUri = null;
_dataContext.ResultText = null;
Helpers.Log(LogIdentifier, "Start face tracking");
VideoServiceClient client = new VideoServiceClient(subscriptionKey);
client.Timeout = TimeSpan.FromMinutes(10);
using (FileStream originalStream = new FileStream(filePath, FileMode.Open, FileAccess.Read))
{
// Creates a video operation of face tracking
Helpers.Log(LogIdentifier, "Start uploading video");
Operation operation = await client.CreateOperationAsync(originalStream, new FaceDetectionOperationSettings());
Helpers.Log(LogIdentifier, "Uploading video done");
// Starts querying service status
OperationResult result = await client.GetOperationResultAsync(operation);
while (result.Status != OperationStatus.Succeeded && result.Status != OperationStatus.Failed)
{
Helpers.Log(LogIdentifier, "Server status: {0}, wait {1} seconds...", result.Status, QueryWaitTime.TotalSeconds);
await Task.Delay(QueryWaitTime);
result = await client.GetOperationResultAsync(operation);
}
Helpers.Log(LogIdentifier, "Finish processing with server status: " + result.Status);
// Processing finished, checks result
if (result.Status == OperationStatus.Succeeded)
{
// Gets output JSON
Helpers.Log(LogIdentifier, "Downloading result done");
_dataContext.SourceUri = new Uri(filePath);
_dataContext.ResultText = Helpers.FormatJson<FaceTracking>(result.ProcessingResult);
_dataContext.FrameHighlights = GetHighlights(result.ProcessingResult).ToList();
}
else
{
// Failed
Helpers.Log(LogIdentifier, "Fail reason: " + result.Message);
}
_dataContext.IsWorking = false;
}
}
public async Task UploadVideoAsync(MediaFile file)
{
Processing = true;
VideoServiceClient = new VideoServiceClient("9739e652e7214256ac48cb85e641a96e")
{
Timeout = TimeSpan.FromMinutes(10)
};
//Operation videoOperation;
try
{
//Stream testStream = file.GetStream();
using (Stream videoStream = file.GetStream())
{
var operation =
await VideoServiceClient.CreateOperationAsync(videoStream, new FaceDetectionOperationSettings());
OperationResult result = await VideoServiceClient.GetOperationResultAsync(operation);
while (result.Status != OperationStatus.Succeeded && result.Status != OperationStatus.Failed)
{
Debug.WriteLine(
$"Server status: {result.Status}, wait {QueryWaitTime.TotalSeconds} seconds");
await Task.Delay(QueryWaitTime);
result = await VideoServiceClient.GetOperationResultAsync(operation);
}
Debug.WriteLine($"Finish processing with server status: {result.Status}");
// Processing finished, check result
if (result.Status == OperationStatus.Succeeded)
{
var faceTrackingResult = JsonConvert.DeserializeObject<FaceTracking>(result.ProcessingResult);
NaturalVideoHeight = faceTrackingResult.Height;
NaturalVideoWidth = faceTrackingResult.Width;
FrameHighlights = GetHighlights(result.ProcessingResult).ToList();
}
}
}
catch (Exception ex)
{
// ignored
}
Processing = false;
}