llxy2001-........../人脸特征点检测/facep/devs/videoplay.py

from PyQt5.QtCore import QThread
from PyQt5.QtWidgets import QApplication
from PyQt5.QtCore import pyqtSignal
import cv2
from cores.facepcore import FaceFeatures
import os
current_dir = os.path.dirname(__file__)
avi_file = os.path.join(current_dir, "data/huigexuandetu.mp4")

class CameraPlay(QThread):

    # 定义信号发送采集的视频图像
    sign_show = pyqtSignal(int, int, int , bytes)  # 前面三个是图像高度，宽度，深度，最后是图像数据

    def __init__(self, dev_id):
        super(CameraPlay, self).__init__()
        self.face = FaceFeatures()
        # 完成摄像头初始化
        self.dev = cv2.VideoCapture(avi_file, cv2.CAP_DSHOW)   # 避免报一个警告
        # self.dev = cv2.VideoCapture(0)  # 避免报一个警告
        self.dev.open(avi_file)
        self.isOver = False
        self.is_landmark = False

    
    # 线程运行函数
    def run(self):
        while not self.isOver:
            # 抓取视频
            status, img = self.dev.read()
            if not status:
                print("读取失败, 结束线程！")
                self.dev.release()
                self.exit(0)
                break
            # landmark处理
            if self.is_landmark:
                self.face.landmark(img)
            # 发送图像到窗体显示
            self.sign_show.emit(img.shape[0], img.shape[1], img.shape[2], img.tobytes())
            
            QThread.usleep(100000)

    def close(self):
        # 用来释放线程与设备
        self.isOver = True
        while self.isRunning():   # 避免提前释放设备导致run函数中的操作报错
            self.isOver = True
        if self.dev.isOpened():
            self.dev.release()

    def landmark(self, is_landmark):
        self.is_landmark = is_landmark