Bug fix: Clipping input data to the valid range for imshow with RGB data ([0..1] for floats or [0..255]

Today is another happy experience of correcting mistakes:

In the actual project of k-means for image compression, I encountered such a problem of pyplot displaying image error: Clipping input data to the valid range for imshow with RGB data ([0..1] forfloats or [0..255] for i

The reason for the error

1. The matplotlib.pyplot.imshow() function automatically normalizes its values ​​when processing grayscale images

2. When dealing with color images, it does not, but converts floating point values ​​to [0, 1] and integer values ​​to the range [0, 255]

Because we use color photos, we need to normalize the dataset:

A=(A-mean(A))span>/std(A)

But this still gives this warning, and the resulting image is seriously non-compliant.Because our method above is to convert floating point numbers to [-1, 1]

The correct solution

A=A/255.

This bug eliminates!