问题描述
假设我正在使用 opencv 从网络摄像头拍摄图像.
Suppose I am taking an image from the webcam using opencv.
_, img = self.cap.read() # numpy.ndarray (480, 640, 3)
然后我使用 img 创建一个 QImage qimg:
Then I create a QImage qimg using img:
qimg = QImage( data=img, width=img.shape[1], height=img.shape[0], bytesPerLine=img.strides[0], format=QImage.Format_Indexed8)
但它给出了一个错误提示:
But it gives an error saying that:
TypeError: 'data' 是一个未知的关键字参数
TypeError: 'data' is an unknown keyword argument
但是在 this 文档中说,构造函数应该有一个名为数据.
But said in this documentation, the constructor should have an argument named data.
我正在使用 anaconda 环境来运行这个项目.
I am using anaconda environment to run this project.
opencv 版本 = 3.1.4
opencv version = 3.1.4
pyqt 版本 = 5.9.2
pyqt version = 5.9.2
numpy 版本 = 1.15.0
numpy version = 1.15.0
推荐答案
他们的意思是需要data作为参数,而不是关键字叫data,下面的方法做了一个numpy/opencv的转换图像到 QImage:
What they are indicating is that the data is required as a parameter, not that the keyword is called data, the following method makes the conversion of a numpy/opencv image to QImage:
from PyQt5.QtGui import QImage, qRgb import numpy as np import cv2 gray_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 qim img = cv2.imread('/path/of/image') qimg = NumpyToQImage(img) assert(not qimg.isNull())
或者您可以使用 qimage2ndarray 库
当使用索引裁剪图片时只修改shape而不修改data,解决方法是复制一份
When using the indexes to crop the image is only modifying the shape but not the data, the solution is to make a copy
img = cv2.imread('/path/of/image') img = np.copy(img[200:500, 300:500, :]) # copy image qimg = NumpyToQImage(img) assert(not qimg.isNull())