python-opencv+PyQt5实现图片高斯模糊

import cv2
import sys
from PyQt5 import QtGui
from PyQt5.QtCore import Qt
from PyQt5.QtWidgets import QApplication, QWidget, QLabel, QVBoxLayout, QSlider

class QPixmapDemo(QWidget):
    val = 1
    def __init__(self):
        super().__init__()
        self.setUI()
        self.setImage()
        self.slh.valueChanged.connect(self.setVal)
    # 设置ui界面
    def setUI(self):
        self.resize(800, 600)
        self.setWindowTitle('picture')
        self.imgLabel = QLabel()
        self.imgLabel.resize(800, 600)  # 设置label的大小,图片会适配label的大小
        self.slh = QSlider(Qt.Horizontal)  # 水平slider
        self.slh.setMinimum(1)  # 设置最小值
        self.slh.setMaximum(10)  # 设置最大值
        self.slh.setSingleStep(0.1)  # 设置步长
        self.slh.setValue(0)  # 设置当前初始值
        self.slh.setTickPosition(QSlider.TicksAbove)  # 设置刻度在上方
        self.slh.setTickInterval(1)  # 设置每个刻度的间隔
        self.Vbox = QVBoxLayout()
        self.Vbox.addWidget(self.slh)
        self.Vbox.addWidget(self.imgLabel)
        self.setLayout(self.Vbox)
    def setVal(self):
        self.val = self.slh.value()
        self.setImage()
    def setImage(self):
        src = cv2.imread('/home/ly/Pictures/Screenshot from 2019-11-14 09-03-28.png')  # opencv读取图片
        img = cv2.GaussianBlur(src, (0, 0), self.val) #若ksize不为(0, 0)，则按照ksize计算，后面的sigmaX没有意义。若ksize为(0, 0)，则根据后面的sigmaX计算ksize
        img2 = cv2.cvtColor(img, cv2.COLOR_BGR2RGB)  # opencv读取的bgr格式图片转换成rgb格式
        _image = QtGui.QImage(img2[:], img2.shape[1], img2.shape[0], img2.shape[1] * 3,
                              QtGui.QImage.Format_RGB888)  # pyqt5转换成自己能放的图片格式
        jpg_out = QtGui.QPixmap(_image).scaled(self.imgLabel.width(), self.imgLabel.height())  # 设置图片大小
        self.imgLabel.setPixmap(jpg_out)  # 设置图片显示


if __name__ == '__main__':
    app = QApplication(sys.argv)
    win = QPixmapDemo()
    win.show()
    sys.exit(app.exec_())

 运行结果：