play_sound_on_label_capture.py

import cv2
from darkflow.net.build import TFNet
import numpy as np
import time
from datetime import datetime
from playsound import playsound


options = {
    'model': '../cfg/yolo.cfg',
    'load': '../bin/yolo.weights',
    'threshold': 0.2,
    'gpu': 1.0
}

tfnet = TFNet(options)
colors = [tuple(255 * np.random.rand(3)) for _ in range(10)]

capture = cv2.VideoCapture(0)
capture.set(cv2.CAP_PROP_FRAME_WIDTH, 416)
capture.set(cv2.CAP_PROP_FRAME_HEIGHT, 416)

while True:
    stime = time.time()
    ret, frame = capture.read()
    results = tfnet.return_predict(frame)
    if ret:
        for color, result in zip(colors, results):
            tl = (result['topleft']['x'], result['topleft']['y'])
            br = (result['bottomright']['x'], result['bottomright']['y'])
            label = result['label']
            print(label)
            print('\a')
            if label=='person':
            	playsound('lion.mp3')
            	abc = str(datetime.now())
            	f = open('out.csv', 'a+')
            	f.write(label+'  '+abc)
            	f.write('\n')
            confidence = result['confidence']
            text = '{}: {:.0f}%'.format(label, confidence * 100)
            frame = cv2.rectangle(frame, tl, br, color, 5)
            frame = cv2.putText(
                frame, text, tl, cv2.FONT_HERSHEY_COMPLEX, 1, (0, 0, 0), 2)
        cv2.imshow('frame', frame)
        print('FPS {:.1f}'.format(1 / (time.time() - stime)))
    if cv2.waitKey(1) & 0xFF == ord('q'):
        break

capture.release()
cv2.destroyAllWindows()