private async Task StartTrackingAsync()
{
buttonStartTracking.Enabled = false;
var imageInfo = GetCurrentImage();
var yoloTracking = new YoloTracking(imageInfo.Width, imageInfo.Height);
var count = dataGridViewFiles.RowCount;
for (var i = 0; i < count; i++)
{
if (i > 0)
{
dataGridViewFiles.Rows[i - 1].Selected = false;
}
dataGridViewFiles.Rows[i].Selected = true;
dataGridViewFiles.CurrentCell = dataGridViewFiles.Rows[i].Cells[0];
var items = Detect();
var trackingItems = yoloTracking.Analyse(items);
DrawBoundingBoxes(trackingItems);
await Task.Delay(100);
}
buttonStartTracking.Enabled = true;
}
static void TestTracking()
{
Directory.CreateDirectory("trackingImages");
var configurationDetector = new ConfigurationDetector();
var config = configurationDetector.Detect();
using (var yoloWrapper = new YoloWrapper(config))
{
var yoloTracking = new YoloTracking(yoloWrapper, 200);
yoloTracking.SetTrackingObject(new Point(216, 343));
var files = Directory.GetFiles(@"test");
//yoloTracking.SetTrackingObject(new Point(385, 480));
//var files = Directory.GetFiles(@"test3");
foreach (var file in files)
{
var imageData = File.ReadAllBytes(file);
var trackingItem = yoloTracking.Analyse(imageData);
if (trackingItem == null)
{
continue;
}
var fileInfo = new FileInfo(file);
File.WriteAllBytes($@"trackingImages\{trackingItem.Index}.bmp", trackingItem.TaggedImageData);
}
}
Console.ReadLine();
}
//without validation i.e., output all yolo detections
public FrameDNNDarknet(string modelConfig, DNNMode dnnMode)
{
var configurationDetector = new ConfigurationDetector(modelConfig);
frameYolo = new YoloWrapper(configurationDetector.Detect(), dnnMode);
frameYoloTracking = new YoloTracking(frameYolo);
}
//distance-based validation
public FrameDNNDarknet(string modelConfig, DNNMode dnnMode, double rFactor)
{
var configurationDetector = new ConfigurationDetector(modelConfig);
frameYolo = new YoloWrapper(configurationDetector.Detect(), dnnMode);
frameYoloTracking = new YoloTracking(frameYolo, Convert.ToInt32(DNNConfig.ValidRange * rFactor));
}
//overlap ratio-based validation
public FrameDNNDarknet(string modelConfig, DNNMode dnnMode, List <Tuple <string, int[]> > lines)
{
var configurationDetector = new ConfigurationDetector(modelConfig);
frameYolo = new YoloWrapper(configurationDetector.Detect(), dnnMode);
frameYoloTracking = new YoloTracking(frameYolo);
_lines = lines;
}