Menu
I am trying to convert python opencv image to QPixmap.
I follow the instruction shows Page Link and my code is attached below
img = cv2.imread('test.png')[:,:,::1]/255. imgDown = cv2.pyrDown(img) imgDown = np.float32(imgDown) cvRGBImg = cv2.cvtColor(imgDown, cv2.cv.CV_BGR2RGB) qimg = QtGui.QImage(cvRGBImg.data,cvRGBImg.shape[1], cvRGBImg.shape[0], QtGui.QImage.Format_RGB888) pixmap01 = QtGui.QPixmap.fromImage(qimg) self.image01TopTxt = QtGui.QLabel('window',self) self.imageLable01 = QtGui.QLabel(self) self.imageLable01.setPixmap(pixmap01) The code has no compile and runtime error but the conversion is wrong and I just get some noise image. I am not sure what the problem is. Could anyone help?
267
A QPixmap object can be converted into a QImage using the toImage() function. Likewise, a QImage can be converted into a QPixmap using the fromImage(). If this is too expensive an operation, you can use QBitmap::fromImage() instead.
OpenCV is the most popular computer vision library and has a wide range of features. It doesn't have its own internal storage format for images, instead, it uses NumPy arrays.
From the property editor dropdown select "Choose File…" and select an image file to insert. As you can see, the image is inserted, but the image is kept at its original size, cropped to the boundaries of the QLabel box. You need to resize the QLabel to be able to see the entire image.
OpenCV cv2 imread() You can read image into a numpy array using opencv library. The array contains pixel level data. And as per the requirement, you may modify the data of the image at a pixel level by updating the array values.
Use this to convert cvImage to Qimage, here cvImage is the original image.
height, width, channel = cvImg.shape bytesPerLine = 3 * width qImg = QImage(cvImg.data, width, height, bytesPerLine, QImage.Format_RGB888) and set this Qimage to Label.setPixmap parameter from Qimage. It works!!!
74
Just complementing the answer of AdityaIntwala, if the image appears to be red or blue, it is because the format is not RGB, but BGR (the inverse). In this case, use the QImage.rgbSwapped method to correct:
height, width, channel = cvImg.shape bytesPerLine = 3 * width qImg = QImage(cvImg.data, width, height, bytesPerLine, QImage.Format_RGB888).rgbSwapped() If you love us? You can donate to us via Paypal or buy me a coffee so we can maintain and grow! Thank you!
Donate Us With