But what about now, this is what images look like to a machine just pixel values for red green and blue.

但是现在呢，这是机器看到的图像，只是红绿蓝的像素值。

You can think of a screen's graphics as a huge matrix of pixel values.

您可以将屏幕的图形想象成一个巨大的像素值矩阵。

As we discussed, image data is typically stored as a list of pixel values.

正如我们所讨论的，图像数据通常存储为像素值列表。

This specifies what each pixel value underneath should be multiplied by.

这指定下面的每个像素值应该乘以什么。

This sequence of commands would consume on the order of 160 bits, which is way more efficient than keeping a huge matrix of pixel values!

这个命令序列将消耗大约 160 位，这比保留一个巨大的像素值矩阵更有效！

If we apply our kernel to every pixel in the photo, the result looks like this, where the highest pixel values are where there are strong vertical edges.

如果我们将我们的内核应用于照片中的每个像素，结果看起来像这样，其中最高像素值是有强垂直边缘的地方。