如何为Numpy数组添加新尺寸? [英] How can I add new dimensions to a Numpy array?

问题描述

我从一个图像的numpy数组开始.

I'm starting off with a numpy array of an image.

In[1]:img = cv2.imread('test.jpg')

形状是640x480 RGB图像的预期形状.

The shape is what you might expect for a 640x480 RGB image.

In[2]:img.shape
Out[2]: (480, 640, 3)

但是，我拥有的这张图像是一帧视频，长度为100帧.理想情况下，我希望有一个包含该视频中所有数据的数组，以使img.shape返回(480, 640, 3, 100).

However, this image that I have is a frame of a video, which is 100 frames long. Ideally, I would like to have a single array that contains all the data from this video such that img.shape returns (480, 640, 3, 100).

将下一帧(即另一组图像数据，另一个480 x 640 x 3数组)添加到我的初始数组中的最佳方法是什么?

What is the best way to add the next frame -- that is, the next set of image data, another 480 x 640 x 3 array -- to my initial array?

推荐答案

您在问如何向NumPy数组添加维度，以便可以扩展该维度以容纳新数据.可以添加维，如下所示:

You're asking how to add a dimension to a NumPy array, so that that dimension can then be grown to accommodate new data. A dimension can be added as follows:

image = image[..., np.newaxis]

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