PyQt5 Opencv拍照

最新推荐文章于 2025-05-20 21:01:55 发布

转载最新推荐文章于 2025-05-20 21:01:55 发布 · 1k 阅读

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CC 4.0 BY-SA版权

原文链接：https://my.oschina.net/wjgood/blog/1573463

文章标签：

#c/c++ #人工智能 #ui

本文介绍了一个使用Python实现的简单应用程序，该程序利用PyQt5进行GUI开发，并结合OpenCV实现双摄像头视频流的实时显示及拍照功能。程序通过多线程方式更新图像，避免了UI阻塞。

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import sys
from PyQt5 import QtCore

import cv2
from PyQt5 import QtGui
from PyQt5.QtCore import QThread
from PyQt5.QtGui import QImage

from PyQt5.QtWidgets import QApplication, QWidget, QHBoxLayout, QLabel
from PyQt5.QtGui import QPixmap
from PyQt5.QtWidgets import QPushButton

def getCameraNum():
    """获取摄像头数量"""
    num = 0
    for i in range(0,5) :
        # 从摄像头中取得视频
        cap = cv2.VideoCapture(i)
        if cap.isOpened():
            num+=1
        cap.release()
    return num

class FrameThread(QThread):
    imgLab = None
    device = None
    paizhao = 0

    """摄像头拍照线程，摄像头拍照耗时较长容易卡住UI"""
    def __init__(self,deviceIndex,imgLab):
        QThread.__init__(self)
        self.imgLab = imgLab
        self.deviceIndex = deviceIndex

        self.device = cv2.VideoCapture(self.deviceIndex)  # 从摄像头中取得视频
        self.device.set(cv2.CAP_PROP_FRAME_WIDTH, 1600)
        self.device.set(cv2.CAP_PROP_FRAME_HEIGHT, 1200)

    def run(self):
        if self.device.isOpened():
            try:
                while True:
                    ret, frame = self.device.read()
                    height, width, bytesPerComponent = frame.shape
                    bytesPerLine = bytesPerComponent * width
                    # 变换彩色空间顺序
                    cv2.cvtColor(frame, cv2.COLOR_BGR2RGB, frame)
                    # 转为QImage对象
                    image = QImage(frame.data, width, height, bytesPerLine, QImage.Format_RGB888)
                    if self.paizhao == 1:
                        image.save("C:\\img"+str(self.deviceIndex)+".jpg")
                        self.paizhao = 0
                    pixmap = QPixmap.fromImage(image)
                    pixmap = pixmap.scaled(400, 300, QtCore.Qt.KeepAspectRatio)
                    self.imgLab.setPixmap(pixmap)
            finally:
                self.device.release()
        # if self.cap.isOpened():
        #     # 获取视频播放界面长宽
        #     width = int(self.cap.get(cv2.CAP_PROP_FRAME_WIDTH) + 0.5)
        #     height = int(self.cap.get(cv2.CAP_PROP_FRAME_HEIGHT) + 0.5)
        #     # 定义编码器 创建 VideoWriter 对象
        #     while (self.cap.isOpened()):
        #         # 读取帧摄像头
        #         ret, frame = self.cap.read()
        #         image = QtGui.QImage(frame, width, height, QtGui.QImage.Format_Indexed8)
        #         pixmap = QtGui.QPixmap.fromImage(image.mirrored(False, True))
        #         # pixmap = QPixmap('C:\left.jpg')
        #         self.imgLab.setPixmap(pixmap)

    def destroyed(self, QObject=None):
        self.device.release()




class Example(QWidget):

    def __init__(self):
        super().__init__()
        self.initUI()


    def initUI(self):
        hbox = QHBoxLayout(self)
        lb1 = QLabel(self)
        lb2 = QLabel(self)
        btn = QPushButton(self)
        btn.setText("拍照")
        btn.clicked.connect(self.paizhao)

        self.frameThread = FrameThread(0,lb1)
        self.frameThread.start()

        self.frameThread2 = FrameThread(1,lb2)
        self.frameThread2.start()

        hbox.addWidget(lb1)
        hbox.addWidget(lb2)
        hbox.addWidget(btn)
        self.setLayout(hbox)

        self.move(300, 300)
        self.setWindowTitle('像素图控件')        
        self.show()


    def paizhao(self):
        self.frameThread.paizhao = 1
        self.frameThread2.paizhao = 1

    def showDate(self, date):
        self.lb1.setText(date.toString())



if __name__ == '__main__':
    app = QApplication(sys.argv)

    ex = Example()
    sys.exit(app.exec_())

转载于:https://my.oschina.net/wjgood/blog/1573463