import cv2
import matplotlib.pyplot as plt
import cvlib as cv
import urllib.request
import numpy as np
from cvlib.object_detection import draw_bbox
import concurrent.futures
url='enter your ip address '
im=None
def run1():
cv2.namedWindow("live transmission", cv2.WINDOW_AUTOSIZE)
while True:
img_resp=urllib.request.urlopen(url)
imgnp=np.array(bytearray(img_resp.read()),dtype=np.uint8)
im = cv2.imdecode(imgnp,-1)
cv2.imshow('live transmission',im)
key=cv2.waitKey(5)
if key==ord('q'):
break
cv2.destroyAllWindows()
def run2():
cv2.namedWindow("detection", cv2.WINDOW_AUTOSIZE)
while True:
img_resp=urllib.request.urlopen(url)
imgnp=np.array(bytearray(img_resp.read()),dtype=np.uint8)
im = cv2.imdecode(imgnp,-1)
bbox, label, conf = cv.detect_common_objects(im)
im = draw_bbox(im, bbox, label, conf)
cv2.imshow('detection',im)
key=cv2.waitKey(5)
if key==ord('q'):
break
cv2.destroyAllWindows()
if __name__ == '__main__':
print("started")
with concurrent.futures.ProcessPoolExecutor() as executer:
f1= executer.submit(run1)
f2= executer.submit(run2)
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