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我正在尝试创建一个 GUI 应用程序，该应用程序使用 Spinnaker SDK 从 GigE Vision 相机（FLIR Blackfly）获取视频源并将其显示在屏幕上。这就是我到目前为止所拥有的。它一直有效，直到我尝试拖动或调整窗口大小，此时它崩溃而没有错误或调试消息。帮助解决这个问题将不胜感激。谢谢！

import PySpin
import cv2
import sys
from PyQt5.QtWidgets import  QWidget, QLabel, QApplication
from PyQt5.QtCore import QThread, Qt, pyqtSignal, pyqtSlot
from PyQt5.QtGui import QImage, QPixmap

class Thread(QThread):
    changePixmap = pyqtSignal(QImage)

    def init_blackfly(self, cam_list, serial, ROI_y, ROI_x):
        cam = cam_list.GetBySerial(serial)
        
        #initializing the camera to make everything work
        cam.Init()

        #get sensor dimensions
        height = cam.HeightMax()
        width = cam.WidthMax()
        
        #calculate and apply ROI
        vertical_offset   = round( (height - ROI_y) / 2)
        horizontal_offset = round( (width  - ROI_x)  / 2)
        
        cam.Height.SetValue(ROI_y)
        cam.Width.SetValue(ROI_x)
        cam.OffsetY.SetValue(vertical_offset)
        cam.OffsetX.SetValue(horizontal_offset)
        
        #set the frame rate
        cam.AcquisitionFrameRateEnable.SetValue(True)
        cam.AcquisitionFrameRate.SetValue(60)
        
        #these parameters give inaccurate color, but increase dynamic range
        #start by exposure-compensating the image way down to capture the bright parts of the image
        cam.AutoExposureEVCompensation.SetValue(-2.0) 
        #compensate for the darker image by bumping the gamma
        cam.GammaEnable.SetValue(True)
        cam.Gamma.SetValue(0.5)
        #Enabe the image processor and set it to increase the saturation. The previous two steps reduce saturation
        cam.IspEnable.SetValue(True)
        cam.SaturationEnable.SetValue(True)
        cam.Saturation.SetValue(2)
        
        #reduce latency by changing the way buffers are handled. 
        cam.TLStream.StreamBufferHandlingMode.SetValue(PySpin.StreamBufferHandlingMode_NewestOnly)
        
        #grab new frames until stopped
        cam.AcquisitionMode.SetValue(PySpin.AcquisitionMode_Continuous)
        cam.BeginAcquisition()
        return cam

    def run(self):
        system = PySpin.System.GetInstance() #get the camera interface
        cam_list = system.GetCameras() #get the list of cameras
        
        cam = self.init_blackfly(cam_list, '13371337', 768, 1024)
        
        while True:
            frame_raw = cam.GetNextImage() #image directly from camera
            frame_col = frame_raw.Convert(PySpin.PixelFormat_BGR8, PySpin.HQ_LINEAR) #debayer the image

            frame_QT = QImage(frame_col.GetData(), 1024, 768, 3 * 1024, QImage.Format_BGR888) #convert the image into pyqt format
            self.changePixmap.emit(frame_QT)

class App(QWidget):
    def __init__(self):
        super().__init__()
        self.title = 'PyQt5 Video'
        self.left = 100
        self.top = 100
        self.width = 640
        self.height = 480
        self.initUI()

    @pyqtSlot(QImage)
    def setImage(self, image):
        self.label.setPixmap(QPixmap.fromImage(image))

    def initUI(self):
        self.setWindowTitle(self.title)
        self.setGeometry(self.left, self.top, self.width, self.height)
        self.resize(960, 540)
        # create a label
        self.label = QLabel(self)
        self.label.move(10, 10)
        self.label.resize(1024, 768)
        th = Thread(self)
        th.changePixmap.connect(self.setImage)
        th.start()
        self.show()
        
if __name__ == '__main__':
    app = QApplication(sys.argv)
    ex = App()
    sys.exit(app.exec_())```
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