private BitmapSource VisualizeResult(VideoFrame frame)
{
// Draw any results on top of the image.
BitmapSource visImage = frame.Image.ToBitmapSource();
var result = _latestResultsToDisplay;
if (result != null)
{
// See if we have local face detections for this image.
var clientFaces = (OpenCvSharp.Rect[])frame.UserData;
if (clientFaces != null && result.Faces != null)
{
// If so, then the analysis results might be from an older frame. We need to match
// the client-side face detections (computed on this frame) with the analysis
// results (computed on the older frame) that we want to display.
MatchAndReplaceFaceRectangles(result.Faces, clientFaces);
}
visImage = Visualization.DrawFaces(visImage, result.Faces, result.EmotionScores, result.CelebrityNames);
visImage = Visualization.DrawTags(visImage, result.Tags);
}
return(visImage);
}
private BitmapSource VisualizeResult(VideoFrame frame)
{
// Draw any results on top of the image.
BitmapSource visImage = frame.Image.ToBitmapSource();
var result = _latestResultsToDisplay;
if (result != null)
{
// See if we have local face detections for this image.
var clientFaces = (OpenCvSharp.Rect[])frame.UserData;
if (clientFaces != null && result.Faces != null)
{
// If so, then the analysis results might be from an older frame. We need to match
// the client-side face detections (computed on this frame) with the analysis
// results (computed on the older frame) that we want to display.
MatchAndReplaceFaceRectangles(result.Faces, clientFaces);
}
if (result.IdentifyResults != null && result.IdentifyResults.Length > 0)
{
for (int idx = 0; idx < result.IdentifyResults.Length; idx++)
{
// Update identification result for rendering
var face = result.Faces[idx];
var res = result.IdentifyResults[idx];
result.PersonNames = new string[result.IdentifyResults.Length];
if (res.Candidates.Length > 0 && Persons.Any(p => p.PersonId == res.Candidates[0].PersonId.ToString()))
{
if (result.Faces[idx].FaceId == result.IdentifyResults[idx].FaceId)
{
result.PersonNames[idx] = Persons.Where(p => p.PersonId == res.Candidates[0].PersonId.ToString()).First().PersonName;
visImage = Visualization.DrawFaces(visImage, result.Faces, result.PersonNames);
}
else
{
result.PersonNames[idx] = "Unknown";
visImage = Visualization.DrawFaces(visImage, result.Faces, result.PersonNames);
}
}
else
{
result.PersonNames[idx] = "Unknown";
visImage = Visualization.DrawFaces(visImage, result.Faces, result.PersonNames);
}
}
}
//DB Operation
if (result.PersonNames != null)
{
DB_Operation(result.PersonNames);
}
}
return(visImage);
}
private BitmapSource VisualizeResult(VideoFrame frame)
{
// Draw any results on top of the image.
BitmapSource visImage = frame.Image.ToBitmapSource();
LiveCameraResult result = _latestResultsToDisplay;
if (result != null)
{
// See if we have local face detections for this image.
var clientFaces = (OpenCvSharp.Rect[])frame.UserData;
if (clientFaces != null && result.Faces != null)
{
// If so, then the analysis results might be from an older frame. We need to match
// the client-side face detections (computed on this frame) with the analysis
// results (computed on the older frame) that we want to display.
MatchAndReplaceFaceRectangles(result.Faces, clientFaces);
}
if (this.gameState == GameState.Explain)
{
this.Dispatcher.BeginInvoke((Action)(() =>
{
RightImage.Source = ImageProvider.Instructions;
//visImage = Visualization.DrawExplain(visImage);
}));
}
else if (this.gameState == GameState.RoundBegin)
{
visImage = VisualizeStartRound(frame);
}
else if (this.gameState == GameState.RoundEnd)
{
visImage = VisualizeEndRound(frame);
}
else if (this.gameState == GameState.Game)
{
// Compute round score
Dictionary <Guid, int> scores = round.ComputeFrameScorePerPlayer(result);
scoringSystem.AddToCurrentRound(scores);
visImage = Visualization.DrawFaces(visImage, round, result.Identities, scoringSystem, _mode);
SavePlayerImages(frame.Image.ToBitmapSource(), result);
}
else if (this.gameState == GameState.Participants)
{
visImage = Visualization.DrawParticipants(visImage, result.Faces);
}
else if (this.gameState == GameState.GameEnd)
{
_grabber.StopProcessingAsync();
visImage = VisualizeEndGame(frame);
}
}
return(visImage);
}
private BitmapSource VisualizeResult(VideoFrame frame)
{
// Draw any results on top of the image.
BitmapSource visImage = frame.Image.ToBitmapSource();
var result = _latestResultsToDisplay;
if (result != null)
{
// See if we have local face detections for this image.
var clientFaces = (OpenCvSharp.Rect[])frame.UserData;
if (clientFaces != null && result.Faces != null)
{
// If so, then the analysis results might be from an older frame. We need to match
// the client-side face detections (computed on this frame) with the analysis
// results (computed on the older frame) that we want to display.
MatchAndReplaceFaceRectangles(result.Faces, clientFaces);
}
visImage = Visualization.DrawFaces(visImage, result.Faces, result.EmotionScores, result.CelebrityNames);
IDictionary <string, string> tagCollection = new Dictionary <string, string>();
StandardsFinder standardsFinder = new StandardsFinder();
if (result.Tags != null && result.Tags.Count() > 0)
{
foreach (var tag in result.Tags)
{
var standardName = standardsFinder.GetStandards(tag.Name);
//tagCollection.Add(tag.Name,standardName);
tag.Name = tag.Name + " - " + standardName;
}
}
visImage = Visualization.DrawTags(visImage, result.Tags);
}
return(visImage);
}
/// <summary> Function which submits a frame to the Computer Vision API for celebrity
/// detection. </summary>
/// <param name="frame"> The video frame to submit. </param>
/// <returns> A <see cref="Task{LiveCameraResult}"/> representing the asynchronous API call,
/// and containing the celebrities returned by the API. </returns>
private BitmapSource VisualizeResult(VideoFrame frame)
{
// Draw any results on top of the image.
BitmapSource visImage = frame.Image.ToBitmapSource();
var result = _latestResultsToDisplay;
if (result != null)
{
// See if we have local face detections for this image.
var clientFaces = (OpenCvSharp.Rect[])frame.UserData;
if (clientFaces != null && result.Faces != null)
{
// If so, then the analysis results might be from an older frame. We need to match
// the client-side face detections (computed on this frame) with the analysis
// results (computed on the older frame) that we want to display.
MatchAndReplaceFaceRectangles(result.Faces, clientFaces);
}
var returnVal = Visualization.DrawFaces(visImage, result.Faces, result.EmotionScores, result.CelebrityNames, this);
visImage = returnVal.Item1;
// if (returnVal.Item2 != "" || returnVal.Item3 != "")
// {
//returnString,
//returnCode,
//customerAge,
//customerGender,
//customerEmotion
RESTPost(returnVal.Item2, returnVal.Item3, returnVal.Item4, returnVal.Item5, returnVal.Item6, returnVal.Item7);
// }
}
return(visImage);
}