| public Get ( CaptureProperty propertyId ) : double | ||
| propertyId | CaptureProperty | property identifier. |
| return | double | |
private void timer1_Tick(object sender, EventArgs e)
{
if (cap == null || pause)
{
return;
}
if (forwTo)
{
var ofps = cap.Get(5);//5 fps
forwTo = false;
var frm = cap.Get(7);//7 frame count
var secs = (frm / ofps) * 1000;
cap.Set(0, forwPosPercetange * secs);//posmsec 0
}
if (oneFrameStep && oneFrameStepDir == -1)
{
var pf = cap.Get(1);//1 posframes
cap.Set(1, Math.Max(0, pf - 2));
}
if (oneFrameStep)
{
pause = true; oneFrameStep = false;
}
Mat mat = new Mat();
cap.Read(mat);
pictureBox1.Image = BitmapConverter.ToBitmap(mat);
}
private void button1_Click(object sender, EventArgs e)
{
if (th != null)
{
button1.Text = "start";
stop = true;
th = null;
return;
}
button1.Text = "stop";
th = new Thread(() =>
{
cap = new OpenCvSharp.VideoCapture(path);
Stopwatch sw = Stopwatch.StartNew();
var session1 = new InferenceSession(netPath);
var inputMeta = session1.InputMetadata;
Mat mat = new Mat();
var nFrames = cap.Get(VideoCaptureProperties.FrameCount);
cap.Read(mat);
var sz = mat.Size();
if (inputDims[2] == -1)
{
sz.Height = mat.Height;
sz.Width = mat.Width;
}
string key = $"{sz.Width}x{sz.Height}";
if (!Processing.allPriorBoxes.ContainsKey(key))
{
var pd = Decoders.PriorBoxes2(sz.Width, sz.Height);;
Processing.allPriorBoxes.Add(key, pd);
}
var prior_data = Processing.allPriorBoxes[key];
var ofps = cap.Get(VideoCaptureProperties.Fps);
VideoWriter vid = null;
if (checkBox1.Checked)
{
vid = new VideoWriter("output.mp4", FourCC.XVID, ofps, mat.Size());
}
while (true)
{
if (stop)
{
break;
}
var pf = cap.Get(VideoCaptureProperties.PosFrames);
int perc = (int)Math.Round((pf / (float)nFrames) * 100);
progressBar1.Invoke(((Action)(() =>
{
label1.Text = $"{pf} / {nFrames} {perc}%";
progressBar1.Value = perc;
})));
if (!cap.Read(mat))
{
break;
}
Mat orig = mat.Clone();
if (inputDims[2] == -1)
{
inputDims[2] = mat.Height;
inputDims[3] = mat.Width;
}
mat.ConvertTo(mat, MatType.CV_32F);
object param = mat;
foreach (var pitem in preps)
{
param = pitem.Process(param);
}
var inputData = param as float[];
var tensor = new DenseTensor <float>(param as float[], inputDims);
var container = new List <NamedOnnxValue>();
container.Add(NamedOnnxValue.CreateFromTensor <float>(inputName, tensor));
float[] confd;
float[] locd;
using (var results = session1.Run(container))
{
var data = results.First().AsTensor <float>();
locd = data.ToArray();
confd = results.Skip(1).First().AsTensor <float>().ToArray();
}
Stopwatch sw2 = Stopwatch.StartNew();
var ret = Processing.boxesDecode(orig.Size(), confd, locd, new System.Drawing.Size(sz.Width, sz.Height), prior_data, visTresh);
if (checkBox1.Checked)
{
var out1 = Processing.drawBoxes(orig, ret.Item1, ret.Item2, visTresh, ret.Item3);
vid.Write(out1);
}
sw2.Stop();
}
vid.Release();
sw.Stop();
});
th.IsBackground = true;
th.Start();
}
