async void GetFrameAsync(object sender, EventArgs e)
        {
            if (!VideoPlayer.HasVideo)
            {
                return;
            }

            RenderTargetBitmap bmp =
                new RenderTargetBitmap(_vidWidth, _vidHeight,
                                       _dpi.Width, _dpi.Height, PixelFormats.Pbgra32);

            bmp.Render(VideoPlayer);

            painting.Children?.Clear();

            var result = await UploadImage(bmp);

            var predictions = PredictionResult.FromJson(result);
            var relevant    = predictions.Predictions.Where(x => x.Probability > 0.5);

            int i = 0;

            foreach (var prediction in relevant)
            {
                var boundingBox = new Rect(
                    prediction.BoundingBox.Left,
                    prediction.BoundingBox.Top,
                    prediction.BoundingBox.Width,
                    prediction.BoundingBox.Height);

                var rect = new Rectangle();
                rect.Stroke          = new SolidColorBrush(Color.FromRgb(100, (byte)(i * 10), 0));
                rect.StrokeThickness = 1;
                rect.Height          = boundingBox.Height * _vidHeight;
                rect.Width           = boundingBox.Width * _vidWidth;
                rect.Margin          = new Thickness(boundingBox.Left * _vidWidth, boundingBox.Top * _vidHeight, 0, 0);

                var text = new TextBlock();
                text.Text       = prediction.TagName;
                text.Margin     = rect.Margin;
                text.Background = new SolidColorBrush(Color.FromRgb(100, (byte)(i * 10), 0));
                text.Foreground = new SolidColorBrush(Color.FromRgb(250, 250, 250));
                painting.Children.Add(text);
                painting.Children.Add(rect);
            }
        }
Esempio n. 2
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        private async void btnTest_Click(object sender, RoutedEventArgs e)
        {
            BitmapImage bi         = videoPlayer.Source.Clone() as BitmapImage;
            string      folderPath = System.IO.Path.GetDirectoryName(System.Reflection.Assembly.GetEntryAssembly().Location);
            string      fileName   = $"{folderPath}\\lulu.png";

            //save the image
            bi.Save(fileName);

            //test if its lulu

            Gateway g = new Gateway();
            var     r = await g.MakePredictionRequest(fullfilepath : fileName);

            var pr = PredictionResult.FromJson(r);

            if (pr.Predictions.Any())
            {
                Prediction = (pr.Predictions.First().Probability * 100).ToString("n");
            }
        }