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pyqt5+opencv 实现读取视频数据的方法

程序员文章站 2022-06-15 15:03:56
1、opencv读取视频数据import cv2if __name__ == '__main__': videopath = "./dataset/3700000000003_13-38-20....

1、opencv读取视频数据

import cv2

if __name__ == '__main__':
    videopath = "./dataset/3700000000003_13-38-20.055.mp4"
    namewindow = "detection window"  # 窗体名称
    cv2.namedwindow(namewindow)  # 设置窗体
    capture = cv2.videocapture(videopath)
    if capture.isopened():
        size = (capture.get(cv2.cap_prop_frame_width), capture.get(cv2.cap_prop_frame_height))  # 读取帧的宽、高
        speed = capture.get(cv2.cap_prop_fps)  # 获得帧速
        while true:
            ret, frame = capture.read()
            if ret:
                frame = cv2.resize(frame, (960, 540))
                cv2.imshow(namewindow, frame)
                if cv2.waitkey(1) & 0xff == 27:
                    break
            else:
                break
        capture.release()
        cv2.destroyallwindows()
    else:
        print("摄像头或视频读取失败")

2、opencv集成pyqt5读取视频数据

import cv2
import numpy as np
import sys
from pyqt5.qtgui import *
from pyqt5.qtcore import *
from pyqt5.qtwidgets import *

class video():
    def __init__(self, capture):
        self.capture = capture
        self.currentframe = np.array([])
    def capturenextframe(self):
        ret, readframe = self.capture.read()
        if (ret == true):
            self.currentframe = cv2.resize(readframe, (960, 540))
    def convertframe(self):
        try:
            height, width, channel = self.currentframe.shape
            bytesperline = 3 * width
            qimg = qimage(self.currentframe.data, width, height, bytesperline,
                               qimage.format_rgb888).rgbswapped()
            qimg = qpixmap.fromimage(qimg)
            return qimg
        except:
            return none
class win(qmainwindow):
    def __init__(self, parent=none):
        super().__init__()
        self.setgeometry(250, 80, 800, 600)  # 从屏幕(250,80)开始建立一个800*600的界面
        self.setwindowtitle('camera')
        self.videopath = "./dataset/3700000000003_13-38-20.055.mp4"
        self.video = video(cv2.videocapture(self.videopath))
        self._timer = qtimer(self)
        self._timer.timeout.connect(self.play)
        self._timer.start(27)
        self.update()
        self.videoframe = qlabel('videocapture')
        self.videoframe.setalignment(qt.aligncenter)
        self.setcentralwidget(self.videoframe)          # 设置图像数据填充控件
    def play(self):
            self.video.capturenextframe()
            self.videoframe.setpixmap(self.video.convertframe())
            self.videoframe.setscaledcontents(true)     # 设置图像自动填充控件
        except typeerror:
            print('no frame')
if __name__ == '__main__':
    app = qapplication(sys.argv)
    win = win()
    win.show()
    sys.exit(app.exec_())

pyqt5+opencv 实现读取视频数据的方法

界面美化版:

import sys
import os
import cv2

from pyqt5 import qtcore, qtgui, qtwidgets
from pyqt5.qtwidgets import *
from pyqt5.qtcore import *
from pyqt5.qtgui import qpalette, qbrush, qpixmap
class ui_mainwindow(qtwidgets.qwidget):
    def __init__(self, parent=none):
        super(ui_mainwindow, self).__init__(parent)
        self.timer_camera = qtcore.qtimer()  # 初始化定时器
        self.cap = cv2.videocapture()  # 初始化摄像头
        self.cam_num = r"d:\pycharmprojects\ele_good_pyqt5\dataset\00.flv"
        self.set_ui()
        self.slot_init()
        self.__flag_work = 0
        self.x = 0
        self.count = 0
    def set_ui(self):
        self.__layout_main = qtwidgets.qhboxlayout()  # 采用qhboxlayout类,按照从左到右的顺序来添加控件
        self.__layout_fun_button = qtwidgets.qhboxlayout()
        self.__layout_data_show = qtwidgets.qvboxlayout()  # qvboxlayout类垂直地摆放小部件
        self.button_open_camera = qtwidgets.qpushbutton(u'打开相机')
        self.button_close = qtwidgets.qpushbutton(u'退出')
        # button颜色修改
        button_color = [self.button_open_camera, self.button_close]
        for i in range(2):
            button_color[i].setstylesheet("qpushbutton{color:black}"
                                           "qpushbutton:hover{color:red}"
                                           "qpushbutton{background-color:rgb(78,255,255)}"
                                           "qpushbutton{border:2px}"
                                           "qpushbutton{border_radius:10px}"
                                           "qpushbutton{padding:2px 4px}")
        self.button_open_camera.setminimumheight(50)
        self.button_close.setminimumheight(50)
        # move()方法是移动窗口在屏幕上的位置到x = 500,y = 500的位置上
        self.move(500, 500)
        # 信息显示
        self.label_show_camera = qtwidgets.qlabel()
        self.label_move = qtwidgets.qlabel()
        self.label_move.setfixedsize(100, 100)
        self.label_show_camera.setfixedsize(641, 481)
        self.label_show_camera.setautofillbackground(false)
        self.__layout_fun_button.addwidget(self.button_open_camera)
        self.__layout_fun_button.addwidget(self.button_close)
        self.__layout_fun_button.addwidget(self.label_move)
        self.__layout_main.addlayout(self.__layout_fun_button)
        self.__layout_main.addwidget(self.label_show_camera)
        self.setlayout(self.__layout_main)
        self.label_move.raise_()            # 设置控件在最上层
        self.setwindowtitle(u'摄像头')
        '''
        # 设置背景颜色
        palette1 = qpalette()
        palette1.setbrush(self.backgroundrole(),qbrush(qpixmap('background.jpg')))
        self.setpalette(palette1)
    def slot_init(self):  # 建立通信连接
        self.button_open_camera.clicked.connect(self.button_open_camera_click)
        self.timer_camera.timeout.connect(self.show_camera)
        self.button_close.clicked.connect(self.close)
    def button_open_camera_click(self):
        if self.timer_camera.isactive() == false:
            flag = self.cap.open(self.cam_num)      # 打开摄像头操作
            if flag == false:
                msg = qtwidgets.qmessagebox.warning(self, u'warning', u'请检测相机与电脑是否连接正确',
                                                    buttons=qtwidgets.qmessagebox.ok,
                                                    defaultbutton=qtwidgets.qmessagebox.ok)
                # if msg==qtgui.qmessagebox.cancel:
                #                     pass
            else:
                self.timer_camera.start(30)
                self.button_open_camera.settext(u'关闭相机')        # 将控件内容设置为关闭
        else:
            self.timer_camera.stop()
            self.cap.release()
            self.label_show_camera.clear()
            self.button_open_camera.settext(u'打开相机')
    def show_camera(self):
        flag, self.image = self.cap.read()      # 读取摄像头数据
        show = cv2.resize(self.image, (640, 480))
        show = cv2.cvtcolor(show, cv2.color_bgr2rgb)
        showimage = qtgui.qimage(show.data, show.shape[1], show.shape[0], qtgui.qimage.format_rgb888)
        self.label_show_camera.setpixmap(qtgui.qpixmap.fromimage(showimage))
    def closeevent(self, event):
        print("关闭")
        ok = qtwidgets.qpushbutton()
        cancel = qtwidgets.qpushbutton()
        msg = qtwidgets.qmessagebox(qtwidgets.qmessagebox.warning, u'关闭', u'是否关闭!')
        msg.addbutton(ok, qtwidgets.qmessagebox.actionrole)
        msg.addbutton(cancel, qtwidgets.qmessagebox.rejectrole)
        ok.settext(u'确定')
        cancel.settext(u'取消')
        if msg.exec_() == qtwidgets.qmessagebox.rejectrole:
            event.ignore()
            if self.cap.isopened():
                self.cap.release()
            if self.timer_camera.isactive():
                self.timer_camera.stop()
            event.accept()
if __name__ == '__main__':
    app = qapplication(sys.argv)
    win = ui_mainwindow()
    win.show()
    sys.exit(app.exec_())

显示效果如下所示:

pyqt5+opencv 实现读取视频数据的方法

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