pyqt5+opencv 实现读取视频数据的方法
作者：郭庆汝
这篇文章主要介绍了pyqt5+opencv 实现读取视频数据的方法，本文通过实例代码给大家介绍的非常详细，对大家的学习或工作具有一定的参考借鉴价值,需要的朋友可以参考下
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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