python将IplImage转换为Qimage
我正在尝试使用openCV处理一些视频,然后将其放入pyqt Qimage中python将IplImage转换为Qimage,python,opencv,pyqt,qimage,iplimage,Python,Opencv,Pyqt,Qimage,Iplimage,我正在尝试使用openCV处理一些视频,然后将其放入pyqt Qimage中 我看到一些例子,但是它们都是C++的,我只能理解Python,< /P> 谁能帮我一下吗。。。谢谢您可以使用以下代码将numpy数组转换为QImage: from PyQt4.QtGui import QImage, qRgb import numpy as np class NotImplementedException: pass gray_color_table = [qRgb(i, i, i) fo
我看到一些例子,但是它们都是C++的,我只能理解Python,< /P>
谁能帮我一下吗。。。谢谢您可以使用以下代码将numpy数组转换为QImage:
from PyQt4.QtGui import QImage, qRgb
import numpy as np
class NotImplementedException:
pass
gray_color_table = [qRgb(i, i, i) for i in range(256)]
def toQImage(im, copy=False):
if im is None:
return QImage()
if im.dtype == np.uint8:
if len(im.shape) == 2:
qim = QImage(im.data, im.shape[1], im.shape[0], im.strides[0], QImage.Format_Indexed8)
qim.setColorTable(gray_color_table)
return qim.copy() if copy else qim
elif len(im.shape) == 3:
if im.shape[2] == 3:
qim = QImage(im.data, im.shape[1], im.shape[0], im.strides[0], QImage.Format_RGB888);
return qim.copy() if copy else qim
elif im.shape[2] == 4:
qim = QImage(im.data, im.shape[1], im.shape[0], im.strides[0], QImage.Format_ARGB32);
return qim.copy() if copy else qim
raise NotImplementedException
然后在调用toQImage()
另请参见OpenCV的CvMat和numpy阵列之间的转换。这对我来说很有效
camcapture = cv.CaptureFromCAM(0)
cv.SetCaptureProperty(camcapture,cv.CV_CAP_PROP_FRAME_WIDTH, 1280)
cv.SetCaptureProperty(camcapture,cv.CV_CAP_PROP_FRAME_HEIGHT, 720);
frame = cv.QueryFrame(camcapture)
image = QImage(frame.tostring(), frame.width, frame.height, QImage.Format_RGB888).rgbSwapped()
pixmap = QPixmap.fromImage(image)
我想在cvMat和QImage的对话中问同样的问题,但我没有找到任何python的例子 我是这样解决的:
pano = cv.CreateMat(int(height),int(width),0)
cv.Zero(pano)
cv.Resize(self.image,pano)
self._data=pano.tostring('raw')
image2=QImage(self._data,pano.width,pano.height,QtGui.QImage.Format_Indexed8)
self.imageLabel.setPixmap(QPixmap(image2))
这个函数为我使用QT5工作,使用本地磁盘上的JPEG
from PyQt5.QtGui import QImage
from PyQt5.QtGui import QImage
def convertMatToQImage(cvImg):
return QImage(cvImg.data, cvImg.shape[1], cvImg.shape[0], QImage.Format_RGB32)