1、openCV读取视频数据
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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
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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:
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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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原文链接:https://blog.csdn.net/guoqingru0311/article/details/122670435