realtime_object_detection.py

import os
import cv2
import time

import cvlib as cv
from cvlib.object_detection import draw_bbox

counter  = 0
fps      = 24.0

cap = cv2.VideoCapture(0)
cap.set(3,320)
cap.set(4,320)

fourcc = cv2.VideoWriter_fourcc(*'MJPG')
out = cv2.VideoWriter(
    filename,
    fourcc, fps, (int(cap.get(3)), int(cap.get(4)))
)

while(True):
    counter += 1
    bbox, label, conf = str(), str(), str()
    # Capture frame-by-frame
    ret, frame = cap.read()

    # Detect objects and draw on screen
    if counter == 30:
        counter = 0
        bbox, label, conf = cv.detect_common_objects(frame)

        print(label)
        if('person' and 'bottle') in label:
            os.system('speaker-test -tsine -f1000 -l1')
    #output_image = draw_bbox(frame, bbox, label, conf)
    #`output_image = draw_bbox(im, bbox, label, conf)


    #cv2.imshow('output',output_image)
    #if cv2.waitKey(1) & 0xFF == ord('q'):
    #    break

# When everything done, release the capture
cap.release()
out.release()
#$cv2.destroyAllWindows()