private static void PredictImage(string filename, ImageNetPrediction Predicted)
{
//获取对象信息
Console.WriteLine(".....The objects in the image are detected as below....");
YoloWinMlParser _parser = new YoloWinMlParser();
IList <YoloBoundingBox> boundingBoxes = _parser.ParseOutputs(Predicted.PredictedLabels, 0.4f);
foreach (var box in boundingBoxes)
{
Console.WriteLine(box.Label + " and its Confidence score: " + box.Confidence + "Location: " + box.Rect);
}
//过滤
Console.WriteLine(".....The filtered objects as below....");
var filteredBoxes = _parser.NonMaxSuppress(boundingBoxes, 5, 0.6F);
Bitmap bitmapSource = Image.FromFile(filename) as Bitmap;
Bitmap bitmapOut = new Bitmap(bitmapSource, ImageNetSettings.imageWidth, ImageNetSettings.imageHeight);
Graphics graphics = Graphics.FromImage(bitmapOut);
foreach (var box in filteredBoxes)
{
Console.WriteLine(box.Label + " and its Confidence score: " + box.Confidence + "Location: " + box.Rect);
graphics.DrawRectangle(Pens.Red, box.Rect.X, box.Rect.Y, box.Rect.Width, box.Rect.Height);
graphics.DrawString(box.Label, new Font("宋体", 15), Brushes.Red, box.X + 10, box.Y);
}
bitmapOut.Save(filename + "_predicted.png");
bitmapOut?.Dispose();
bitmapSource?.Dispose();
}
public async void SetEncodingProperties(VideoEncodingProperties encodingProperties, IDirect3DDevice device)
{
currentEncodingProperties = encodingProperties;
canvasDevice = device != null?CanvasDevice.CreateFromDirect3D11Device(device) : CanvasDevice.GetSharedDevice();
parser = new YoloWinMlParser();
filteredBoxes = new List <YoloBoundingBox>();
await LoadModelAsync();
frameProcessingTimer = ThreadPoolTimer.CreatePeriodicTimer(EvaluateVideoFrame, poolTimerInterval);
}
