// -----------------------------------------------------------------------
// KEY SAMPLE CODE ENDS HERE
// -----------------------------------------------------------------------
/// <summary>
/// This method parses the JSON ouput, and converts to a sequence of time frames with highlight region. A full video highlight is created if there is motion detected in the frame.
/// </summary>
/// <param name="json">JSON output of motion detection result.</param>
/// <returns>Sequence of time frames with highlight regions.</returns>
private static IEnumerable <FrameHighlight> GetHighlights(string json)
{
MotionDetectionResult motionDetectionResult = Helpers.FromJson <MotionDetectionResult>(json);
double timescale = motionDetectionResult.Timescale;
if (motionDetectionResult.Regions == null)
{
yield break;
}
List <int> regionIds = motionDetectionResult.Regions.Select(x => x.Id).ToList();
Rect hasMotionRect = new Rect(new Point(0, 0), new Size(1, 1)); // Uses this full-frame rectangle to represent motion is detected in one frame
Rect noMotionRect = new Rect(new Point(0, 0), new Size(0, 0)); // Uses this empty rectangle to represent motion is not detected
foreach (Fragment <MotionEvent> fragment in motionDetectionResult.Fragments)
{
if (fragment.Events == null || fragment.Events.Length == 0)
{
// If 'Events' is empty, there isn't any motion detected in this fragment
Rect[] rects = new Rect[regionIds.Count];
for (int i = 0; i < rects.Length; i++)
{
rects[i] = noMotionRect;
}
yield return(new FrameHighlight()
{
Time = fragment.Start / timescale, HighlightRects = rects.ToArray()
});
}
else
{
long interval = fragment.Interval.GetValueOrDefault();
for (int i = 0; i < fragment.Events.Length; i++)
{
double currentTime = (fragment.Start + interval * i) / timescale;
MotionEvent[] evts = fragment.Events[i];
Rect[] rects = regionIds.Select(id =>
{
MotionEvent evt = evts.FirstOrDefault(x => x.RegionId == id);
if (evt == null)
{
return(noMotionRect);
}
return(hasMotionRect);
}).ToArray();
yield return(new FrameHighlight()
{
Time = currentTime, HighlightRects = rects
});
}
}
}
}
private void SetupMotionSensor()
{
motionDetectionResults = new MotionDetectionResult();
MotionStatus.DataContext = motionDetectionResults;
motionSensor = MotionSensorFactory.Create();
motionSensor.InitGPIO();
motionSensor.MotionDetected += MotionSensor_MotionDetected;
motionSensor.MotionUndetected += MotionSensor_MotionUndetected;
}
private void ProcessOldFrame(MotionDetectionResult result)
{
if (IsStaticFrame(result.MotionRect))
{
this._manager.DisposeFrame(result.FrameGuid);
}
else
{
this._manager.MoveToMotionFrames(result);
}
}
public void MoveToMotionFrames( MotionDetectionResult frameResult )
{
var f = RetrieveFrame(frameResult.FrameGuid);
if (f != null)
{
if (this.motionFrames == null)
{
this.motionFrames = new List<Frame>();
}
f.MotionRectangles.Add(frameResult.MotionRect);
motionFrames.Add(f);
}
}
public void Test()
{
IMotionDetector motiondetector = new FaceProcessingWrapper.MotionDetector();
foreach (var file in System.IO.Directory.GetFiles(@"M:\测试图片\Lb", "*.jpg"))
{
var ipl = OpenCvSharp.IplImage.FromFile(file);
var frame = new Frame(ipl);
MotionDetectionResult result = new MotionDetectionResult();
var groupCaptured = motiondetector.Detect(frame, ref result);
System.Diagnostics.Debug.WriteLine(groupCaptured.ToString() + " " + result.MotionRect.Width);
}
}
public void MoveToMotionFrames(MotionDetectionResult frameResult)
{
var f = RetrieveFrame(frameResult.FrameGuid);
if (f != null)
{
if (this.motionFrames == null)
{
this.motionFrames = new List <Frame>();
}
f.MotionRectangles.Add(frameResult.MotionRect);
motionFrames.Add(f);
}
}
public bool ProcessFrame(Frame frame)
{
try
{
frame.GetImage();
}
catch (System.ArgumentException ex)
{
return(false);
}
this._manager.AddNewFrame(frame);
var oldFrameMotionResult = new MotionDetectionResult();
bool groupCaptured =
ProcessNewFrame(frame, ref oldFrameMotionResult);
ProcessOldFrame(oldFrameMotionResult);
return(groupCaptured);
}
private bool ProcessNewFrame(Frame frame, ref MotionDetectionResult detectionResult)
{
var result = CurrentMotionDetector.Detect(frame, ref detectionResult);
return(result);
}
