pyqt5 读取numpy arrray 显示图片
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2022-05-28 11:07:51
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目录
彩色图显示色调不正常——opencv(BGR)QT(RGB)需要进行转换
1、GUI界面(QT designer设计)
# -*- coding: utf-8 -*-
# Form implementation generated from reading ui file 'ImshowImgWithMatGUI.ui'
#
# Created by: PyQt5 UI code generator 5.15.1
#
# WARNING: Any manual changes made to this file will be lost when pyuic5 is
# run again. Do not edit this file unless you know what you are doing.
from PyQt5 import QtCore, QtGui, QtWidgets
class Ui_MainWindow(object):
def setupUi(self, MainWindow):
MainWindow.setObjectName("MainWindow")
MainWindow.resize(800, 600)
self.centralwidget = QtWidgets.QWidget(MainWindow)
self.centralwidget.setObjectName("centralwidget")
self.pushButton = QtWidgets.QPushButton(self.centralwidget)
self.pushButton.setGeometry(QtCore.QRect(280, 460, 201, 23))
self.pushButton.setObjectName("pushButton")
self.label = QtWidgets.QLabel(self.centralwidget)
self.label.setGeometry(QtCore.QRect(210, 90, 351, 291))
self.label.setObjectName("label")
MainWindow.setCentralWidget(self.centralwidget)
self.menubar = QtWidgets.QMenuBar(MainWindow)
self.menubar.setGeometry(QtCore.QRect(0, 0, 800, 23))
self.menubar.setObjectName("menubar")
MainWindow.setMenuBar(self.menubar)
self.statusbar = QtWidgets.QStatusBar(MainWindow)
self.statusbar.setObjectName("statusbar")
MainWindow.setStatusBar(self.statusbar)
self.retranslateUi(MainWindow)
QtCore.QMetaObject.connectSlotsByName(MainWindow)
def retranslateUi(self, MainWindow):
_translate = QtCore.QCoreApplication.translate
MainWindow.setWindowTitle(_translate("MainWindow", "MainWindow"))
self.pushButton.setText(_translate("MainWindow", "通过数组显示图片"))
self.label.setText(_translate("MainWindow", "TextLabel"))
2、逻辑函数(回调等)
import cv2 as cv
from PyQt5.QtGui import QImage,QPixmap
from PyQt5.QtWidgets import QApplication, QMainWindow
from ImshowImgWithMatGUI import Ui_MainWindow
import sys
class My_UI(QMainWindow, Ui_MainWindow):
def __init__(self):
QMainWindow.__init__(self)
Ui_MainWindow.__init__(self)
self.setupUi(self)
self.setWindowTitle('窗口标题')
def pushbuttonthing(self):
# 读取彩色图片
img_src = cv.imread(r"X:\4.jpg",)
img_src = cv.cvtColor(img_src,cv.COLOR_BGR2RGB)
# 读取label宽高
label_width = self.label.width()
label_height = self.label.height()
# 将图片转换为QImage
temp_imgSrc = QImage(img_src, img_src.shape[1], img_src.shape[0],img_src.shape[1]*3, QImage.Format_RGB888)
# 将图片转换为QPixmap方便显示
pixmap_imgSrc = QPixmap.fromImage(temp_imgSrc).scaled(label_width, label_height)
# 使用label进行显示
self.label.setPixmap(pixmap_imgSrc)
def run(self):
self.pushButton.clicked.connect(self.pushbuttonthing)
if __name__ == '__main__':
app = QApplication(sys.argv)
# 显示窗口
win = My_UI()
win.show()
win.run()
sys.exit(app.exec_())
3、显示图片在label上
1)显示彩色图
img_src是通过imread读取的彩色图像
QImage.Format_RGB888
# 将图片转换为QImage
temp_imgSrc = QImage(img_src, img_src.shape[1], img_src.shape[0],img_src.shape[1]*3, QImage.Format_RGB888)
# 将图片转换为QPixmap方便显示
pixmap_imgSrc = QPixmap.fromImage(temp_imgSrc).scaled(label_width, label_height)
# 使用label进行显示
self.label.setPixmap(pixmap_imgSrc)
彩色图显示色调不正常——opencv(BGR)QT(RGB)需要进行转换
img_src = cv.cvtColor(img_src,cv.COLOR_BGR2RGB)
2)显示灰度图
显示灰度图像(其中灰度图像是由彩色直接通过)
QImage.Format_Format_Grayscale8
# 将图片转换为QImage
temp_imgSrc = QImage(img_src, img_src.shape[1], img_src.shape[0], QImage.Format_Format_Grayscale8)
# 将图片转换为QPixmap方便显示
pixmap_imgSrc = QPixmap.fromImage(temp_imgSrc).scaled(label_width, label_height)
# 使用label进行显示
self.label.setPixmap(pixmap_imgSrc)
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