update nuget

Author: shimat

CameraOpenCV/CameraOpenCV.csproj

@@ -187,13 +187,13 @@
   </ItemGroup>
   <ItemGroup>
     <PackageReference Include="Microsoft.NETCore.UniversalWindowsPlatform">
-      <Version>6.2.11</Version>
+      <Version>6.2.12</Version>
     </PackageReference>
     <PackageReference Include="OpenCvSharp4">
-      <Version>4.5.1.20201229</Version>
+      <Version>4.5.1.20210210</Version>
     </PackageReference>
     <PackageReference Include="OpenCvSharp4.runtime.uwp">
-      <Version>4.5.1.20201229</Version>
+      <Version>4.5.1.20210210</Version>
     </PackageReference>
   </ItemGroup>
   <ItemGroup />

SamplesCS/Samples/ArucoSample.cs

@@ -70,7 +70,7 @@ public void Run()
             using var normalizedImage = new Mat();
             Cv2.WarpPerspective(src, normalizedImage, transform, new Size(1024, 1024));
 
-            using var _1 = new Window("Original Image", WindowMode.AutoSize, src);
+            using var _1 = new Window("Original Image", src, WindowFlags.AutoSize);
             using var _2 = new Window($"Found {ids.Length} Markers", detectedMarkers);
             using var _3 = new Window("Normalized Image", normalizedImage);
 

SamplesCS/Samples/BinarizerSample.cs

@@ -39,11 +39,11 @@ public void Run()
             sw.Stop();
             Console.WriteLine($"Nick {sw.ElapsedMilliseconds} ms");
 
-            using (new Window("src", WindowMode.AutoSize, src))
-            using (new Window("Niblack", WindowMode.AutoSize, niblack))
-            using (new Window("Sauvola", WindowMode.AutoSize, sauvola))
-            using (new Window("Bernsen", WindowMode.AutoSize, bernsen))
-            using (new Window("Nick", WindowMode.AutoSize, nick))
+            using (new Window("src", src, WindowFlags.AutoSize))
+            using (new Window("Niblack", niblack, WindowFlags.AutoSize))
+            using (new Window("Sauvola", sauvola, WindowFlags.AutoSize))
+            using (new Window("Bernsen", bernsen, WindowFlags.AutoSize))
+            using (new Window("Nick", nick, WindowFlags.AutoSize))
             {
                 Cv2.WaitKey();
             }

SamplesCS/Samples/FaceDetection.cs

@@ -42,7 +42,7 @@ private Mat DetectFace(CascadeClassifier cascade)
 
                 // Detect faces
                 Rect[] faces = cascade.DetectMultiScale(
-                    gray, 1.08, 2, HaarDetectionType.ScaleImage, new Size(30, 30));
+                    gray, 1.08, 2, HaarDetectionTypes.ScaleImage, new Size(30, 30));
 
                 // Render all detected faces
                 foreach (Rect face in faces)

SamplesCS/Samples/HOGSample.cs

@@ -49,9 +49,9 @@ public void Run()
                 img.Rectangle(r.TopLeft, r.BottomRight, Scalar.Red, 3);
             }
 
-            using (var window = new Window("people detector", WindowMode.Normal, img))
+            using (var window = new Window("people detector", img, WindowFlags.Normal))
             {
-                window.SetProperty(WindowProperty.Fullscreen, 1);
+                window.SetProperty(WindowPropertyFlags.Fullscreen, 1);
                 Cv2.WaitKey(0);
             }
         }

SamplesCS/Samples/HistSample.cs

@@ -48,8 +48,8 @@ public void Run()
                     -1);
             }
 
-            using (new Window("Image", WindowMode.AutoSize | WindowMode.FreeRatio, src))
-            using (new Window("Histogram", WindowMode.AutoSize | WindowMode.FreeRatio, render))
+            using (new Window("Image", src, WindowFlags.AutoSize | WindowFlags.FreeRatio))
+            using (new Window("Histogram", render, WindowFlags.AutoSize | WindowFlags.FreeRatio))
             {
                 Cv2.WaitKey();
             }

SamplesCS/Samples/HoughLinesSample.cs

@@ -53,8 +53,8 @@ private void SampleCpp()
                 }
 
                 // (5) Show results
-                using (new Window("Hough_line_standard", WindowMode.AutoSize, imgStd))
-                using (new Window("Hough_line_probabilistic", WindowMode.AutoSize, imgProb))
+                using (new Window("Hough_line_standard", imgStd))
+                using (new Window("Hough_line_probabilistic", imgProb))
                 {
                     Window.WaitKey(0);
                 }

SamplesCS/Samples/InpaintSample.cs

@@ -32,7 +32,7 @@ public void Run()
             using var inpaintMask = new Mat(img0.Size(), MatType.CV_8U, Scalar.Black);
             using var inpainted = img0.EmptyClone();
 
-            using var wImage = new Window("image", WindowMode.AutoSize, img);
+            using var wImage = new Window("image", img);
             var prevPt = new Point(-1, -1);
             wImage.SetMouseCallback((MouseEventTypes ev, int x, int y, MouseEventFlags flags, IntPtr userdata) =>
             {
@@ -76,10 +76,10 @@ public void Run()
                         case 'i':   // do Inpaint
                         case '\r':
                             Cv2.Inpaint(img, inpaintMask, inpainted, 3, InpaintMethod.Telea);
-                            wInpaint1 ??= new Window("inpainted image (algorithm by Alexandru Telea)", WindowMode.AutoSize);
+                            wInpaint1 ??= new Window("inpainted image (algorithm by Alexandru Telea)", WindowFlags.AutoSize);
                             wInpaint1.ShowImage(inpainted);
                             Cv2.Inpaint(img, inpaintMask, inpainted, 3, InpaintMethod.NS);
-                            wInpaint2 ??= new Window("inpainted image (algorithm by Navier-Strokes)", WindowMode.AutoSize);
+                            wInpaint2 ??= new Window("inpainted image (algorithm by Navier-Strokes)", WindowFlags.AutoSize);
                             wInpaint2.ShowImage(inpainted);
                             break;
                         case 's': // save images

SamplesCS/Samples/OpenVinoFaceDetection.cs

@@ -23,8 +23,8 @@ public void Run()
             int frameWidth = frame.Cols;
 
             using var netFace = CvDnn.ReadNet(modelFace, modelFaceTxt);			
-            netFace.SetPreferableBackend(Net.Backend.INFERENCE_ENGINE);
-            netFace.SetPreferableTarget(Net.Target.CPU);
+            netFace.SetPreferableBackend(Backend.INFERENCE_ENGINE);
+            netFace.SetPreferableTarget(Target.CPU);
 
             using var blob = CvDnn.BlobFromImage(frame, 1.0, new OpenCvSharp.Size(672, 384), new OpenCvSharp.Scalar(0, 0, 0), false, false);
 			netFace.SetInput(blob);

SamplesCS/Samples/Pose.cs

@@ -36,8 +36,8 @@ public void Run()
             const int inHeight = 368;
 
             using var net = CvDnn.ReadNetFromCaffe(modelTxt, model);
-            net.SetPreferableBackend(Net.Backend.OPENCV);
-            net.SetPreferableTarget(Net.Target.CPU);
+            net.SetPreferableBackend(Backend.OPENCV);
+            net.SetPreferableTarget(Target.CPU);
 
             using var inpBlob = CvDnn.BlobFromImage(frame, 1.0 / 255, new Size(inWidth, inHeight), new Scalar(0, 0, 0), false, false);