public void BackgroundSubtractor_Example()
{
VideoCapture capture = new VideoCapture(0);
using var MOG2 = BackgroundSubtractorMOG2.Create();
using var MOG = BackgroundSubtractorMOG.Create();
using var GMG = BackgroundSubtractorGMG.Create();
using var KNN = BackgroundSubtractorKNN.Create();
using Mat frame = new Mat();
using Mat MOG2remove = new Mat();
using Mat MOGremove = new Mat();
using Mat GMG2remove = new Mat();
using Mat KNNremove = new Mat();
Window win_MOG2 = new Window("MOG2");
Window win_GMG = new Window("GMG");
Window win_MOG = new Window("MOG");
Window win_KNN = new Window("KNN");
while (Cv2.WaitKey(1) < 0)
{
capture.Read(frame);
MOG2.Apply(frame, MOG2remove);
MOG.Apply(frame, MOGremove);
GMG.Apply(frame, GMG2remove);
KNN.Apply(frame, KNNremove);
win_MOG2.ShowImage(MOG2remove);
win_GMG.ShowImage(MOGremove);
win_MOG.ShowImage(GMG2remove);
win_KNN.ShowImage(KNNremove);
}
}
public Filter(DeviceModel device, InferenceServer inferenceServer)
{
_device = device;
_inferenceServer = inferenceServer;
_inferenceChannel = inferenceServer.CreateChannel();
_segmentor = BackgroundSubtractorMOG2.Create(500, 16, true);
}
private static void BackgroundSubtractorSample()
{
var mog = BackgroundSubtractorMOG2.Create();
var mask = new Mat();
var colorImage = Cv2.ImRead(@"data\shapes.png");
mog.Apply(colorImage, mask, 0.01);
Window.ShowImages(colorImage, mask);
}
public void Apply()
{
using (var mog = BackgroundSubtractorMOG2.Create())
using (var src = Image("Data/Image/lenna.png"))
using (var dst = new Mat())
{
mog.Apply(src, dst);
}
}
void Start()
{
webCamTexture = new WebCamTexture(WebCamTexture.devices[0].name);
webCamTexture.Play();
// Avoid using new keyword in Update(), esp. with Mat and Texture2D
tex = new Texture2D(webCamTexture.width, webCamTexture.height, TextureFormat.RGBA32, false);
mat = fg = new Mat(webCamTexture.height, webCamTexture.width, MatType.CV_8UC4);
nm = new Mat();
mog2 = BackgroundSubtractorMOG2.Create(200, 16, true);
}
public void CheckProperties()
{
using (var mog = BackgroundSubtractorMOG2.Create())
{
mog.BackgroundRatio = mog.BackgroundRatio;
mog.ComplexityReductionThreshold = mog.ComplexityReductionThreshold;
mog.DetectShadows = mog.DetectShadows;
mog.History = mog.History;
mog.NMixtures = mog.NMixtures;
mog.ShadowThreshold = mog.ShadowThreshold;
mog.ShadowValue = mog.ShadowValue;
mog.VarInit = mog.VarInit;
mog.VarMax = mog.VarMax;
mog.VarMin = mog.VarMin;
mog.VarThreshold = mog.VarThreshold;
mog.VarThresholdGen = mog.BackgroundRatio;
}
}
//test image from https://play.google.com/store/apps/details?id=com.vizalevgames.finddifferences200levels
//thank for that
static void Main()
{
var org1 = new Mat("1.jpg");
var org2 = new Mat("2.jpg");
//create background subtraction method
var mog = BackgroundSubtractorMOG2.Create();
var mask = new Mat();
mog.Apply(org1, mask);
mog.Apply(org2, mask);
//reduce noise
Cv2.MorphologyEx(mask, mask, MorphTypes.Open, null, null, 2);
//convert mask from gray to BGR for AddWeighted function
var maskBgr = new Mat();
Cv2.CvtColor(mask, maskBgr, ColorConversionCodes.GRAY2BGR);
//apply two image as one
Cv2.AddWeighted(org1, 1.0, maskBgr, 0.5, 2.2, org1);
Cv2.AddWeighted(org2, 1.0, maskBgr, 0.5, 2.2, org2);
#region draw contours
var canny = new Mat();
Cv2.Canny(mask, canny, 15, 120);
Cv2.FindContours(canny, out var contours, out var _, RetrievalModes.External, ContourApproximationModes.ApproxSimple);
Cv2.DrawContours(org1, contours, -1, Scalar.Red, 2);
Cv2.DrawContours(org2, contours, -1, Scalar.Red, 2);
#endregion
using (new Window("org1", org1))
using (new Window("org2", org2))
using (new Window("mask", mask))
{
Cv2.WaitKey();
}
}
private void ProcImage3(ref System.Drawing.Bitmap src, ref System.Drawing.Bitmap srcB, out System.Drawing.Bitmap dst)
{
dst = null;
Mat srcImg = BitmapConverter.ToMat(src);
Cv2.CvtColor(srcImg, srcImg, ColorConversionCodes.BGRA2BGR);
Mat srcImgB = BitmapConverter.ToMat(srcB);
Cv2.CvtColor(srcImgB, srcImgB, ColorConversionCodes.BGRA2BGR);
Mat mask = new Mat();
double threshold = App.appSettings.DarkAreaThreshold;
BackgroundSubtractor backSub = BackgroundSubtractorMOG2.Create(1, threshold, true);
//BackgroundSubtractor backSub = BackgroundSubtractorMOG.Create(1, 5, 0.7, 0);
//BackgroundSubtractor backSub = BackgroundSubtractorGMG.Create(1, 0.5);
backSub.Apply(srcImgB, mask, 1);
backSub.Apply(srcImg, mask, 0);
Cv2.Threshold(mask, mask, 180, 255, ThresholdTypes.Binary);
var element = Cv2.GetStructuringElement(
MorphShapes.Rect,
new OpenCvSharp.Size(2 * 2 + 1, 2 * 2 + 1),
new OpenCvSharp.Point(2, 2));
Mat tmp = new Mat();
Cv2.MorphologyEx(mask, tmp, MorphTypes.Close, element, null, App.appSettings.Iterations);
Cv2.MorphologyEx(tmp, mask, MorphTypes.Open, element, null, App.appSettings.Iterations2);
Cv2.Erode(mask, tmp, element);
dst = BitmapConverter.ToBitmap(tmp);
}
public OcvOp()
{
mog2 = BackgroundSubtractorMOG2.Create();
}
