"""

we perform PCA on the set of RGB pixel values throughout the ImageNet training

set. To each training image, we add multiples of the found principal components,

with magnitudes proportional to the corresponding eigenvalues times a random 

variable drawn from a Gaussian with mean zero and standard deviation 0.1.

"""

​

Also check out:

https://keras.io/keras_cv/