Here’s a minimal working example with optional FPS control. If you need to extract frames from your process back to the main program, you can use multiprocessing.Queue()
to transfer frames since multiprocesses have an independent memory stack.
import multiprocessing as mp
import cv2, time
def capture_frames():
src="https://stackoverflow.com/questions/72120491/test.mp4"
capture = cv2.VideoCapture(src)
capture.set(cv2.CAP_PROP_BUFFERSIZE, 2)
# FPS = 1/X, X = desired FPS
FPS = 1/120
FPS_MS = int(FPS * 1000)
while True:
# Ensure camera is connected
if capture.isOpened():
(status, frame) = capture.read()
# Ensure valid frame
if status:
cv2.imshow('frame', frame)
else:
break
if cv2.waitKey(1) & 0xFF == ord('q'):
break
time.sleep(FPS)
capture.release()
cv2.destroyAllWindows()
if __name__ == '__main__':
print('Starting video stream')
capture_process = mp.Process(target=capture_frames, args=())
capture_process.start()
Related camera/IP/RTSP/streaming, FPS, video, threading, and multiprocessing posts