pyqt5+opencv 实现读取视频数据的方法

Cybill ·
更新时间:2024-09-20
· 678 次阅读

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_())

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:

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方法 数据 pyqt5 pyqt opencv

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