Considering the following code
from PyQt5.QtWidgets import QMainWindow, QLabel, QSizePolicy, QApplication
from PyQt5.QtGui import QPixmap, QImage
from PyQt5.QtCore import Qt
import numpy as np
import sys
class Test(QMainWindow):
def __init__(self):
super().__init__()
self.initUI()
def initUI(self):
self.setGeometry(10,10,640, 400)
pixmap_label = QLabel()
pixmap_label.setSizePolicy(QSizePolicy.Ignored, QSizePolicy.Ignored)
pixmap_label.resize(640,400)
pixmap_label.setAlignment(Qt.AlignCenter)
im_np = np.ones((1800,2880,3),dtype=uint8)
im_np = np.transpose(im_np, (1,0,2))
qimage = QImage(im_np, im_np.shape[1], im_np.shape[0],
QImage.Format_RGB888)
pixmap = QPixmap(qimage)
pixmap = pixmap.scaled(640,400, Qt.KeepAspectRatio)
pixmap_label.setPixmap(pixmap)
self.setCentralWidget(pixmap_label)
self.show()
def main():
app = QApplication(sys.argv)
win = Test()
sys.exit(app.exec_())
if __name__=="__main__":
main()
I get the following error
TypeError: arguments did not match any overloaded call: QImage(): too many arguments QImage(QSize, QImage.Format): argument 1 has unexpected type ‘numpy.ndarray’ QImage(int, int, QImage.Format): argument 1 has unexpected type ‘numpy.ndarray’ QImage(bytes, int, int, QImage.Format): argument 1 has unexpected type ‘numpy.ndarray’
QImage(sip.voidptr, int, int, QImage.Format): argument 1 has unexpected type ‘numpy.ndarray’ QImage(bytes, int, int, int, QImage.Format): argument 1 has unexpected type ‘numpy.ndarray’
QImage(sip.voidptr, int, int, int, QImage.Format): argument 1 has unexpected type ‘numpy.ndarray’ QImage(List[str]): argument 1 has unexpected type ‘numpy.ndarray’ QImage(str, format: str = None): argument 1 has unexpected type ‘numpy.ndarray’ QImage(QImage): argument 1 has unexpected type ‘numpy.ndarray’ QImage(Any): too many arguments
According to this post this can be caused by numpy creating a view. Modifying the lines
im_np = np.array(img) im_np = np.transpose(im_np, (1,0,2))
To
im_np = np.array(img) im_np = np.transpose(im_np, (1,0,2)) im_np_cpy = np.copy(im_np)
Produces the same error. To test that I am not passing a view I print the result of the test
im_np_cpy.base is im_np
and it’s False. The image is visualised correctly with cv2. I am clearly missing something, any idea what?
Cheers!
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Answer
I added a copy after the transpose like this:
im_np = np.transpose(im_np,(1,0,2)).copy()
and that worked for me.