public Dictionary <string, bool> updateLineOccupancy(Mat frame, int frameIndex, Mat fgmask, List <Box> boxes)
{
//frameIndex++;
//if (frameIndex > START_DELAY && frameIndex % SUB_SAMPLING_FACTOR != 0) return frameIndex;
if (frameIndex > START_DELAY)
{
Bitmap fgmaskBit = OpenCvSharp.Extensions.BitmapConverter.ToBitmap(fgmask);
multiLaneDetector.notifyFrameArrival(frameIndex, boxes, fgmaskBit);
// bgs visualization with lines
if (DISPLAY_BGS)
{
List <Tuple <string, int[]> > lines = this.multiLaneDetector.getAllLines();
for (int i = 0; i < lines.Count; i++)
{
System.Drawing.Point p1 = new System.Drawing.Point(lines[i].Item2[0], lines[i].Item2[1]);
System.Drawing.Point p2 = new System.Drawing.Point(lines[i].Item2[2], lines[i].Item2[3]);
Cv2.Line(fgmask, p1.X, p1.Y, p2.X, p2.Y, new OpenCvSharp.Scalar(255, 0, 255, 255), 5);
}
Cv2.ImShow("BGS Output", fgmask);
Cv2.WaitKey(1);
}
}
occupancy = multiLaneDetector.getOccupancy();
foreach (string lane in occupancy.Keys)
{
if (frameIndex > 1)
{
if (occupancy[lane])
{
string blobName_BGS = $@"frame-{frameIndex}-BGS-{lane}-{occupancy[lane]}.jpg";
string fileName_BGS = @OutputFolder.OutputFolderBGSLine + blobName_BGS;
frame.SaveImage(fileName_BGS);
frame.SaveImage(@OutputFolder.OutputFolderAll + blobName_BGS);
}
}
updateCount(lane, occupancy);
}
return(occupancy);
}
public (Dictionary <string, int>, Dictionary <string, bool>) updateLineResults(Mat frame, int frameIndex, Mat fgmask, List <Box> boxes, ref long teleCountsBGS, bool savePictures = false)
{
if (frameIndex > START_DELAY)
{
Bitmap fgmaskBit = OpenCvSharp.Extensions.BitmapConverter.ToBitmap(fgmask);
multiLaneDetector.notifyFrameArrival(frameIndex, boxes, fgmaskBit);
// bgs visualization with lines
if (DISPLAY_BGS)
{
List <Tuple <string, int[]> > lines = this.multiLaneDetector.getAllLines();
for (int i = 0; i < lines.Count; i++)
{
System.Drawing.Point p1 = new System.Drawing.Point(lines[i].Item2[0], lines[i].Item2[1]);
System.Drawing.Point p2 = new System.Drawing.Point(lines[i].Item2[2], lines[i].Item2[3]);
Cv2.Line(fgmask, p1.X, p1.Y, p2.X, p2.Y, new Scalar(255, 0, 255, 255), 5);
}
Cv2.ImShow("BGS Output", fgmask);
Cv2.WaitKey(1);
}
}
counts = multiLaneDetector.getCounts();
if (counts_prev.Count != 0)
{
foreach (string lane in counts.Keys)
{
int diff = Math.Abs(counts[lane] - counts_prev[lane]);
if (diff > 0) //object detected by BGS-based counter
{
teleCountsBGS++;
//Console.WriteLine($"Line: {lane}\tCounts: {counts[lane]}");
if (savePictures)
{
string blobName_BGS = Utils.Utils.RemoveInvalidChars($@"frame-{frameIndex}-BGS-{lane}-{counts[lane]}.jpg");
string fileName_BGS = @OutputFolder.OutputFolderBGSLine + blobName_BGS;
frame.SaveImage(fileName_BGS);
frame.SaveImage(@OutputFolder.OutputFolderAll + blobName_BGS);
}
}
}
}
updateCount(counts);
//occupancy
occupancy = multiLaneDetector.getOccupancy();
foreach (string lane in occupancy.Keys)
{
//output frames that have line occupied by objects
//if (frameIndex > 1)
//{
// if (occupancy[lane])
// {
// string blobName_BGS = $@"frame-{frameIndex}-BGS-{lane}-{occupancy[lane]}.jpg";
// string fileName_BGS = @OutputFolder.OutputFolderBGSLine + blobName_BGS;
// frame.SaveImage(fileName_BGS);
// frame.SaveImage(@OutputFolder.OutputFolderAll + blobName_BGS);
// }
//}
updateCount(lane, occupancy);
}
return(counts, occupancy);
}