Python realtime camera(video) image process - opencv

Question

When realtime camera detects some text, it would be processed through function(img_process in my code)
but it takes so long time(long lag), camera seems to be stopped.
I'd like to make camera pretend working continuously (keep taking and showing image)
code is as below
from PIL import Image #pip install pillow
from pytesseract import * #pip install pytesseract
import pytesseract
import configparser
import os
import cv2
import numpy as np
import pandas as pd
from imutils.video import VideoStream
from imutils.video import FPS
import argparse
import imutils
import time
from concurrent.futures import ThreadPoolExecutor
config = configparser.ConfigParser()
config.read(os.path.dirname(os.path.realpath(__file__)) + os.sep + 'envs' + os.sep + 'property.ini')
if __name__ == "__main__":
data = pd.read_csv('./test6.txt', sep='\t', engine='python')
print("Part N/O Scan...")
vs = VideoStream(src=1).start()
time.sleep(2.0)
fps = FPS().start()
while True:
frame = vs.read()
frame = imutils.resize(frame, width=500)
(h, w) = frame.shape[:2]
blob = cv2.dnn.blobFromImage(cv2.resize(frame, (300, 300)),
0.007843, (300, 300), 127.5)
#problem(delay) happen in this line
img_process(frame)
cv2.imshow("Frame", frame)
key = cv2.waitKey(1) & 0xFF
if key == ord("q"):
break
fps.update()
fps.stop()
print("[INFO] elapsed time: {:.2f}".format(fps.elapsed()))
print("[INFO] approx. FPS: {:.2f}".format(fps.fps()))
cv2.destroyAllWindows()
vs.stop()

Answer 1

In that case, what I usually do is skip a few frames from the input. Add something like this in the while loop
while True:
for i in range(5): # you can adjust this number
frame = vs.read()
frame = imutils.resize(frame, width=500)
This works pretty well if you want the video output in realtime.