static void Run()
{
using (Mat image = CvInvoke.Imread("cat.jpg", LoadImageType.AnyColor | LoadImageType.AnyDepth))
using (LatentSvmDetector detector = new LatentSvmDetector(new string[] { "cat.xml" }))
{
Stopwatch watch = Stopwatch.StartNew();
MCvObjectDetection[] regions = detector.Detect(image, 0.5f);
watch.Stop();
foreach (MCvObjectDetection region in regions)
{
CvInvoke.Rectangle(image, region.Rect, new MCvScalar(0, 0, 255));
}
ImageViewer.Show(image, String.Format("Object detected in {0} milliseconds", watch.ElapsedMilliseconds));
}
}
static void Run()
{
using (Image <Bgr, Byte> image = new Image <Bgr, byte>("cat.jpg"))
using (LatentSvmDetector detector = new LatentSvmDetector("cat.xml"))
{
Stopwatch watch = Stopwatch.StartNew();
MCvObjectDetection[] regions = detector.Detect(image, 0.5f);
watch.Stop();
foreach (MCvObjectDetection region in regions)
{
if (region.score > -0.5)
{
image.Draw(region.Rect, new Bgr(Color.Red), 1);
}
}
ImageViewer.Show(image, String.Format("Object detected in {0} milliseconds", watch.ElapsedMilliseconds));
}
}
/// <summary>
///
/// </summary>
/// <param name="label"></param>
/// <param name="model"></param>
public DetectorBase(string label, string model)
{
_label = label;
_model = model;
_detector = new LatentSvmDetector(model);
}
internal static extern Seq cvLatentSvmDetectObjects(
IplImage image,
LatentSvmDetector detector,
MemStorage storage,
float overlap_threshold,
int numThreads);