pyqt5调用摄像头

1、UI布局

2、代码

# !/usr/bin/python
# -*- coding: utf-8 -*-

"""
@contact: 微信 1257309054
@file: t.py
@time: 2023/9/10 0:16
@author: LDC
"""

import sys

import cv2
from PyQt5 import QtCore
from PyQt5 import QtWidgets, QtGui
from PyQt5.QtGui import QPixmap, QImage

from camera import Ui_MainWindow


class OpenCamera(QtWidgets.QMainWindow, Ui_MainWindow):
    def __init__(self):
        super(OpenCamera, self).__init__()
        self.setupUi(self)  # 创建窗体对象
        self.init()
        self.label_video.setScaledContents(True)  # 图片自适应

    def init(self):
        # 打开摄像头
        self.btn_open_camera.clicked.connect(self.open_camera)
        # 关闭摄像头
        self.btn_close_camera.clicked.connect(self.close_camera)

    def open_camera(self):
        # 打开摄像头
        self.is_close = False
        cap = cv2.VideoCapture(0)
        w, h = 640, 360

        cap.set(3, w)
        cap.set(4, h)

        while True:

            success, img = cap.read()
            mirrow = cv2.flip(img, 1)
            width, height = mirrow.shape[:2]  # 行:宽，列:高

            if cv2.waitKey(1) == 27:
                break

            # 显示图片
            image_show = cv2.cvtColor(mirrow, cv2.COLOR_BGR2RGB)  # opencv读的通道是BGR,要转成RGB

            self.showImage = QtGui.QImage(image_show.data, height, width, QImage.Format_RGB888)
            self.label_video.setPixmap(QPixmap.fromImage(self.showImage))  # 往显示视频的Label里显示QImage

            # 是否关闭摄像头
            if self.is_close:
                break

        # 释放摄像头 release camera
        cap.release()
        self.label_video.clear()  # 清除label组件上的图片

    def close_camera(self):
        # 关闭摄像头
        self.is_close = True


if __name__ == '__main__':
    QtCore.QCoreApplication.setAttribute(QtCore.Qt.AA_EnableHighDpiScaling)  # 自适应分辨率

    app = QtWidgets.QApplication(sys.argv)
    ui = OpenCamera()
    ui.show()
    sys.exit(app.exec_())