QImage构造函数具有未知的关键字data

它们所指示的是需要将数据作为参数，而不是将关键字称为data，以下方法将numpy / opencv图像转换为QImage：

from PyQt5.QtGui import QImage, qRgbimport numpy as npimport cv2gray_color_table = [qRgb(i, i, i) for i in range(256)]def NumpyToQImage(im):    qim = QImage()    if im is None:        return qim    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)        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) elif im.shape[2] == 4:     qim = QImage(im.data, im.shape[1], im.shape[0], im.strides[0], QImage.Format_ARGB32)    return qimimg = cv2.imread('/path/of/image')qimg = NumpyToQImage(img)assert(not qimg.isNull())

或者您可以使用qimage2ndarray库

当使用索引裁剪图像时，仅修改

shape

data

img = cv2.imread('/path/of/image')img = np.copy(img[200:500, 300:500, :]) # copy imageqimg = NumpyToQImage(img)assert(not qimg.isNull())