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 override void Draw(Canvas canvas)
{
// draw the object border.
RectF rect = new RectF(this.mObject.Border);
rect.Left = this.TranslateX(rect.Left);
rect.Top = this.TranslateY(rect.Top);
rect.Right = this.TranslateX(rect.Right);
rect.Bottom = this.TranslateY(rect.Bottom);
canvas.DrawRect(rect, this.boxPaint);
// draw other object info.
canvas.DrawText(MLObjectGraphic.GetCategoryName(this.mObject.TypeIdentity), rect.Left, rect.Bottom, this.textPaint);
canvas.DrawText("trackingId: " + this.mObject.TracingIdentity, rect.Left, rect.Top, this.textPaint);
if (this.mObject.TypePossibility != null)
{
canvas.DrawText("confidence: " + this.mObject.TypePossibility, rect.Right, rect.Bottom, this.textPaint);
}
}
