public void TransactResult(MLAnalyzer.Result result)
{
if (!liveObjectAnalyseActivity.mlsNeedToDetect)
{
return;
}
this.liveObjectAnalyseActivity.mOverlay.Clear();
SparseArray objectSparseArray = result.AnalyseList;
for (int i = 0; i < objectSparseArray.Size(); i++)
{
MLObjectGraphic graphic = new MLObjectGraphic(liveObjectAnalyseActivity.mOverlay, ((MLObject)(objectSparseArray.ValueAt(i))));
liveObjectAnalyseActivity.mOverlay.Add(graphic);
}
// When you need to implement a scene that stops after recognizing specific content
// and continues to recognize after finishing processing, refer to this code
for (int i = 0; i < objectSparseArray.Size(); i++)
{
if (((MLObject)(objectSparseArray.ValueAt(i))).TypeIdentity == MLObject.TypeFood)
{
liveObjectAnalyseActivity.mlsNeedToDetect = true;
liveObjectAnalyseActivity.mHandler.SendEmptyMessage(LiveObjectAnalyseActivity.StopPreview);
}
}
}
public void TransactResult(MLAnalyzer.Result result)
{
this.imgLiveAnalyseActivity.mOverlay.Clear();
SparseArray imageSegmentationResult = result.AnalyseList;
MLSegmentGraphic graphic = new MLSegmentGraphic(this.imgLiveAnalyseActivity.mPreview, this.imgLiveAnalyseActivity.mOverlay, (MLImageSegmentation)imageSegmentationResult.ValueAt(0), this.imgLiveAnalyseActivity.isFront);
this.imgLiveAnalyseActivity.mOverlay.Add(graphic);
}
public void TransactResult(MLAnalyzer.Result result)
{
this.mGraphicOverlay.Clear();
SparseArray faceSparseArray = result.AnalyseList;
for (int i = 0; i < faceSparseArray.Size(); i++)
{
MLFaceGraphic graphic = new MLFaceGraphic(this.mGraphicOverlay, (MLFace)faceSparseArray.ValueAt(i));
this.mGraphicOverlay.Add(graphic);
}
}
/// <summary>
/// Implemented from MLAnalyzer.IMLTransactor interface.
/// Process the results returned by the analyzer.
/// </summary>
public void TransactResult(MLAnalyzer.Result result)
{
mOverlay.Clear();
SparseArray imageSegmentationResult = result.AnalyseList;
IList <MLSceneDetection> list = new List <MLSceneDetection>();
for (int i = 0; i < imageSegmentationResult.Size(); i++)
{
list.Add((MLSceneDetection)imageSegmentationResult.ValueAt(i));
}
MLSceneDetectionGraphic sceneDetectionGraphic = new MLSceneDetectionGraphic(mOverlay, list);
mOverlay.Add(sceneDetectionGraphic);
mOverlay.PostInvalidate();
}
public void TransactResult(MLAnalyzer.Result result)
{
this.mGraphicOverlay.Clear();
SparseArray handKeypointsSparseArray = result.AnalyseList;
List <MLHandKeypoints> list = new List <MLHandKeypoints>();
for (int i = 0; i < handKeypointsSparseArray.Size(); i++)
{
list.Add((MLHandKeypoints)handKeypointsSparseArray.ValueAt(i));
}
HandKeypointGraphic graphic = new HandKeypointGraphic(this.mGraphicOverlay, list);
this.mGraphicOverlay.Add(graphic);
}
public void TransactResult(MLAnalyzer.Result result)
{
this.mGraphicOverlay.Clear();
SparseArray sparseArray = result.AnalyseList;
List <MLSkeleton> list = new List <MLSkeleton>();
for (int i = 0; i < sparseArray.Size(); i++)
{
list.Add((MLSkeleton)sparseArray.ValueAt(i));
}
// Remove invalid point.
List <MLSkeleton> skeletons = SkeletonUtils.GetValidSkeletons(list);
SkeletonGraphic graphic = new SkeletonGraphic(this.mGraphicOverlay, skeletons);
this.mGraphicOverlay.Add(graphic);
if (mActivity != null && !mActivity.IsFinishing)
{
mActivity.CompareSimilarity(skeletons);
}
}
