Video streaming using OpenCV and ONVIF is too slow

[kolyan288]

import cv2
from onvif import ONVIFCamera


ip = 'ip'
username = 'username'
password = 'password'

port_rtsp = 'port_rtsp'

cam = ONVIFCamera(ip, port, username, password, wsdl_dir = r'python-onvif-zeep/wsdl')

media = cam.create_media_service()
ptz = cam.create_ptz_service()

media_profile = media.GetProfiles()[0]

def make_rtsp(ip, port, username, password):
    return 'rtsp_link'

rtsp = make_rtsp(ip, port_rtsp, username, password)

# Open the video file
cap = cv2.VideoCapture(rtsp)

request = ptz.create_type("GetConfigurationOptions")
request.ConfigurationToken = media_profile.PTZConfiguration.token

ptz_configuration_options = ptz.GetConfigurationOptions(request)

relative_move_request = ptz.create_type("RelativeMove")
relative_move_request.ProfileToken = media_profile.token
relative_move_request.Speed = {'PanTilt': {'x': 0, 'y': 0}}

# Loop through the video frames
while cap.isOpened():
    # Read a frame from the video
    success, frame = cap.read()

    if success:
              
        cv2.imshow('camera', frame)
        pan_offset = 0.001
        tilt_offset = 0.001
        zoom_offset = 0

        relative_move_request.Translation = {"PanTilt": {"x": pan_offset, # 0.01 * abs_zoom
                                            "y": tilt_offset}, # 0.01 * abs_zoom
                                "Zoom": zoom_offset}

        relative_move_request.Speed = {'PanTilt': {'x': 0, 'y': 0}}

        ptz.RelativeMove(relative_move_request)

        if cv2.waitKey(1) & 0xFF == ord("q"):
            break
    else:
        # Break the loop if the end of the video is reached
        break

# Release the video capture object and close the display window
cap.release()
cv2.destroyAllWindows()

The frames displayed on the screen via OpenCV are transmitted with a delay relative to the actual frames from the PTZ camera

[kaburagisec]

You can try the script open_stream_with_ptz.py from the alternative library nirsimetri/onvif-python.