/// <summary>
/// Releases all resources used by this <see cref="NcnnObject"/>.
/// </summary>
/// <param name="disposing">Indicate value whether <see cref="IDisposable.Dispose"/> method was called.</param>
private void Dispose(bool disposing)
{
if (this.IsDisposed)
{
return;
}
// pre-disposing
{
if (disposing)
{
// managed dispose
}
// unmanaged dispose
}
this.IsDisposed = true;
if (disposing)
{
// managed dispose
}
// unmanaged dispose
Ncnn.DestroyGpuInstance();
}
public void CheckClassification()
{
const string image = "goldfish.jpg";
using (var m = NcnnDotNet.OpenCV.Cv2.ImRead(image, NcnnDotNet.OpenCV.CvLoadImage.Color))
{
if (m.IsEmpty)
{
Assert.False(true, $"Failed to load {image}.");
}
if (Ncnn.IsSupportVulkan)
{
Ncnn.CreateGpuInstance();
}
var clsScores = new List <float>();
DetectSqueezeNet(m, clsScores);
if (!clsScores.Any())
{
Assert.False(true, $"Failed to classify {image}. Reason: No classification");
}
if (Ncnn.IsSupportVulkan)
{
Ncnn.DestroyGpuInstance();
}
var top = PrintTop(clsScores);
if (top.Item1 < 0.9)
{
Assert.False(true, $"Failed to classify {image}. Reason: Low Score");
}
if (top.Item2 != 1)
{
Assert.False(true, $"Failed to classify {image}. Reason: Wrong class");
}
}
}
private static int Main(string[] args)
{
if (args.Length != 1)
{
Console.WriteLine($"Usage: {nameof(PeleeNetSSDSeg)} [imagepath]");
return(-1);
}
var imagepath = args[0];
using (var m = Cv2.ImRead(imagepath, CvLoadImage.Grayscale))
{
if (m.IsEmpty)
{
Console.WriteLine($"cv::imread {imagepath} failed");
return(-1);
}
if (Ncnn.IsSupportVulkan)
{
Ncnn.CreateGpuInstance();
}
var objects = new List <Object>();
using var segOut = new NcnnDotNet.Mat();
DetectPeleeNet(m, objects, segOut);
if (Ncnn.IsSupportVulkan)
{
Ncnn.DestroyGpuInstance();
}
DrawObjects(m, objects, segOut);
}
return(0);
}
private static int Main(string[] args)
{
if (args.Length != 1)
{
Console.WriteLine($"Usage: {nameof(ShuffleNetV2)} [imagepath]");
return(-1);
}
var imagepath = args[0];
using (var m = Cv2.ImRead(imagepath, CvLoadImage.Grayscale))
{
if (m.IsEmpty)
{
Console.WriteLine($"cv::imread {imagepath} failed");
return(-1);
}
if (Ncnn.IsSupportVulkan)
{
Ncnn.CreateGpuInstance();
}
var clsScores = new List <float>();
DetectShuffleNetV2(m, clsScores);
if (Ncnn.IsSupportVulkan)
{
Ncnn.DestroyGpuInstance();
}
PrintTopK(clsScores, 3);
}
return(0);
}
private static int Main(string[] args)
{
if (args.Length != 1)
{
Console.WriteLine($"Usage: {nameof(RetinaFace)} [imagepath]");
return(-1);
}
var imagepath = args[0];
using (var m = Cv2.ImRead(imagepath, CvLoadImage.Grayscale))
{
if (m.IsEmpty)
{
Console.WriteLine($"cv::imread {imagepath} failed");
return(-1);
}
if (Ncnn.IsSupportVulkan)
{
Ncnn.CreateGpuInstance();
}
var keyPoints = new List <FaceObject>();
DetectRetinaFace(m, keyPoints);
if (Ncnn.IsSupportVulkan)
{
Ncnn.DestroyGpuInstance();
}
DrawFaceObject(m, keyPoints);
}
return(0);
}
public DetectResult Detect(byte[] file)
{
using var frame = Cv2.ImDecode(file, CvLoadImage.Grayscale);
if (frame.IsEmpty)
{
throw new NotSupportedException("This file is not supported!!");
}
if (Ncnn.IsSupportVulkan)
{
Ncnn.CreateGpuInstance();
}
using var inMat = Mat.FromPixels(frame.Data, NcnnDotNet.PixelType.Bgr2Rgb, frame.Cols, frame.Rows);
var faceInfos = this._UltraFace.Detect(inMat).ToArray();
if (Ncnn.IsSupportVulkan)
{
Ncnn.DestroyGpuInstance();
}
return(new DetectResult(frame.Cols, frame.Rows, faceInfos));
}
public DetectResult Detect(byte[] file)
{
using var m = Cv2.ImDecode(file, CvLoadImage.Grayscale);
if (m.IsEmpty)
{
throw new NotSupportedException("This file is not supported!!");
}
if (Ncnn.IsSupportVulkan)
{
Ncnn.CreateGpuInstance();
}
var objects = new List <Object>();
DetectYoloV3(m, objects);
if (Ncnn.IsSupportVulkan)
{
Ncnn.DestroyGpuInstance();
}
return(new DetectResult(m.Cols, m.Rows, objects));
}