Rtsp Player High memory, cpu usage

[DongkyuK25]

im novice developer using c#. I made User Control for playing rtsp from emgu.cv. I used this user control for my main program for playing 9 rtsp. but when i used my user control 9 times, it makes my cpu overflow, more than 70% cpu usage, also 1.3GB memory usage. i don't know what's wrong with my code. please help me anyone used emgu.cv in c#. it doesn't matter when playing only one rtsp. also tell me if my code seems bad, how to fix it! i don't know reason. please help me as fast as you can! this is my code

capture = new VideoCapture(rtspUrl, VideoCapture.API.Ffmpeg);
capture.SetCaptureProperty(CapProp.Fps, frame);
capture.Start();

Task.Run(async () =>
{
while (isPlaying)
{
UpdateFrame();
await Task.Delay(1000 / frame);
Thread.Sleep(1);
}
});
}

using (Mat frame = new Mat())
{
capture.Retrieve(frame, 0);
if (!frame.IsEmpty)
{
using (Image<Bgr, byte> image =
frame.ToImage<Bgr, byte>())
{
lock (captureLock)
{
try
{
if (!isRecording && videoWriter !=null)
videoWriter.Dispose();
else if (isRecording && videoWriter != null)
{
if(frame!=null)
videoWriter.Write(frame);
}
}
catch (System.AccessViolationException) { }
}
pictureBoxRTSP1.Invoke((MethodInvoker)(() =>pictureBoxRTSP1.Image = image.ToBitmap()));
}
}
else
{
}
}

[emgucv]

Performance issue are usually a result of the Open CV implementation.

You can try Open CV for python. If the performance is the same as Emgu CV, you can report the bug to the Open CV team. It will need to be fixed on the Open CV side. Once it is fixed in Open CV, Emgu CV will have the fix included.

Sample Open CV for python code ( reference from https://www.geeksforgeeks.org/python-opencv-capture-video-from-camera/ ):

# import the opencv library 
import cv2 
  
  
# define a video capture object 
vid = cv2.VideoCapture("{your_rtsp_url}") 
  
while(True): 
      
    # Capture the video frame 
    # by frame 
    ret, frame = vid.read() 
  
    # Display the resulting frame 
    cv2.imshow('frame', frame) 
      
    # the 'q' button is set as the 
    # quitting button you may use any 
    # desired button of your choice 
    if cv2.waitKey(1) & 0xFF == ord('q'): 
        break
  
# After the loop release the cap object 
vid.release() 
# Destroy all the windows 
cv2.destroyAllWindows()