口罩检测跟踪
【摘要】
import osimport timeimport datetime import cv2import numpy as npfrom queue import Queuefrom threading import Thread, Event from onnx_mask.lib.RetinaFace.retinaface imp...
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import os
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import time
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import datetime
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import cv2
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import numpy as np
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from queue import Queue
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from threading import Thread, Event
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from onnx_mask.lib.RetinaFace.retinaface import RetinaF
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from track.tracker_run import TrackerRun
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from video_soure import MyProcess
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#from onnx_mask.lib.CenterFace.centerface import CenterFace
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class MaskDetectThread(Thread):
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def __init__(self, width, height, videoQueue):
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Thread.__init__(self)
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self.width = width
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self.height = height
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#self.cap = cv2.VideoCapture(0)
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self.videoQueue = videoQueue
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# self.centerface = CenterFace(self.height, self.width)
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self.centerface = RetinaF(self.height, self.width)
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self.MaskNet = cv2.dnn.readNetFromONNX(r'./onnx_mask/model/mobilenetv2.onnx')
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self.__flag = Event() # 用于暂停线程的标识
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self.__flag.set() # 设置为True
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self.__running = Event() # 用于停止线程的标识
文章来源: blog.csdn.net,作者:AI视觉网奇,版权归原作者所有,如需转载,请联系作者。
原文链接:blog.csdn.net/jacke121/article/details/104672051
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