无法在我的 PyQt 程序中显示图像

Unable to Display Image in my PyQt program

我正在尝试编写一个程序,将 2 个图像与一个函数(使用 cv2)混合在一起,然后使用用 PyQT 编写的 GUI 在屏幕上显示它,所以我的第一次尝试是执行以下操作

imgComb = self.mergeimages(img1,img2)
self.label.setPixmap(QtGui.QPixmap(imgComb))

但是下面的代码不起作用,因为 setPixMap 不接受 Numpy Arrays 对象,因此建议我使用 setpixmap.fromimage 并将 Numpy 数组转换为图像,然后将图像转换为QTImage 代码如下

imgComb = self.mergeimages(img1,img2)
img3 = Image.fromarray(imgComb)
img4 = ImageQt(img3)
self.label.setPixmap(QtGui.QPixmap.fromImage(img4))

然而,以下代码使 python 完全崩溃,没有给出任何错误代码和退出代码:3221225477 如果我将图像保存到我的硬盘然后加载它,代码就可以工作但是我想避免这样做,当我试图弄清楚为什么会有这样的差异时,我注意到我创建的图像是一个类型的对象 PIL.Image.Image 但是从我的硬盘加载时它变成了 PIL.PngImagePlugin.PngImageFile 类型 在寻找解决方案时,我发现一个人似乎有类似的问题,尽管他的问题没有令人满意的答案 Why can't I make a GIF from PIL.Image.Image files but can with PIL.PngImagePlugin.PngImageFile? 我该怎么做才能解决这个问题?

编辑:完整代码

from PyQt5 import QtCore, QtGui, QtWidgets
import random
import cv2
from PIL import Image
from PIL.ImageQt import ImageQt



class Ui_MainWindow(object):
    
    def mergeimages(self,img1,img2):

        img2_gray = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)
        ret, mask = cv2.threshold(img2_gray, 245, 255, cv2.THRESH_BINARY)
        mask_inv = cv2.bitwise_not(mask)
        Attack = cv2.bitwise_and(img1, img1, mask=mask)
        Defense = cv2.bitwise_and(img2, img2, mask=mask_inv)
        result = cv2.add(Defense,Attack)
        return result
    
    def setupUi(self, MainWindow):
        MainWindow.setObjectName("MainWindow")
        MainWindow.resize(1000, 900)
        self.centralwidget = QtWidgets.QWidget(MainWindow)
        self.centralwidget.setObjectName("centralwidget")
        self.label = QtWidgets.QLabel(self.centralwidget)
        self.label.setGeometry(QtCore.QRect(190, 20, 674, 478))
        self.label.setStyleSheet("ImageCombined.png")
        self.label.setText("")
        img1 = cv2.imread("Image1.png")
        img2 = cv2.imread("Image2.png")
        img2 = cv2.flip(img2,1)
        imgComb = self.mergeimages(img1,img2)
        img3 = Image.fromarray(imgComb)
        img4 = ImageQt(img3)
        self.label.setPixmap(QtGui.QPixmap.fromImage(img4))
        self.label.setScaledContents(True)
        self.label.setObjectName("label")
        MainWindow.setCentralWidget(self.centralwidget)
        QtCore.QMetaObject.connectSlotsByName(MainWindow)

if __name__ == "__main__":
    import sys
    app = QtWidgets.QApplication(sys.argv)
    MainWindow = QtWidgets.QMainWindow()
    ui = Ui_MainWindow()
    ui.setupUi(MainWindow)
    MainWindow.show()
    sys.exit(app.exec_())

我只想在我的 GUI 中心显示生成的 imgComb

以下是将 cv2 图像转换为像素图的方法

h, w, ch = cv2_image.shape

bytes_per_line = ch * w
converted = QtGui.QImage(imgComb.data, w, h, bytes_per_line, QtGui.QImage.Format_RGB888)

converted = converted.scaled(target_width, target_height, Qt.KeepAspectRatio) # Only if you want to scale image

pic = QtGui.QPixmap.fromImage(converted)
#pic is pixmap which can directly be set to QLabel

这是您更新后的代码

from PyQt5 import QtCore, QtGui, QtWidgets
import random
import cv2



class Ui_MainWindow(object):

    def mergeimages(self, img1, img2):
        img2_gray = cv2.cvtColor(img2, cv2.COLOR_BGR2GRAY)
        ret, mask = cv2.threshold(img2_gray, 245, 255, cv2.THRESH_BINARY)
        mask_inv = cv2.bitwise_not(mask)
        Attack = cv2.bitwise_and(img1, img1, mask=mask)
        Defense = cv2.bitwise_and(img2, img2, mask=mask_inv)
        result = cv2.add(Defense, Attack)
        return result

    def setupUi(self, MainWindow):
        MainWindow.setObjectName("MainWindow")
        MainWindow.resize(1000, 900)
        self.centralwidget = QtWidgets.QWidget(MainWindow)
        self.centralwidget.setObjectName("centralwidget")
        self.label = QtWidgets.QLabel(self.centralwidget)
        self.label.setGeometry(QtCore.QRect(190, 20, 674, 478))
        self.label.setStyleSheet("ImageCombined.png")
        self.label.setText("")
        img1 = cv2.imread("Image1.png")
        img2 = cv2.imread("Image2.png")
        img2 = cv2.flip(img2, 1)
        imgComb = self.mergeimages(img1, img2)
# Change Start
        h, w, ch = imgComb.shape

        bytes_per_line = ch * w
        converted = QtGui.QImage(imgComb.data, w, h, bytes_per_line, QtGui.QImage.Format_RGB888)

        pic = QtGui.QPixmap.fromImage(converted)


        self.label.setPixmap(pic)
# Change End
        self.label.setScaledContents(True)
        self.label.setObjectName("label")
        MainWindow.setCentralWidget(self.centralwidget)
        QtCore.QMetaObject.connectSlotsByName(MainWindow)


if __name__ == "__main__":
    import sys

    app = QtWidgets.QApplication(sys.argv)
    MainWindow = QtWidgets.QMainWindow()
    ui = Ui_MainWindow()
    ui.setupUi(MainWindow)
    MainWindow.show()
    sys.exit(app.exec_())