python - Principal Component Analysis (PCA) - accessing shape -


i beginner in python , trying apply principal component analysis (pca) set of images. want put images in matrix able perform pca. still @ beginning having errors.

import numpy np import image import os  #insert images matrix dirname = 'c:\users\karim\downloads\shp_marcel_train\marcel-train\a' x = [np.asarray(image.open(os.path.join(dirname, fn))) fn in os.listdir(dirname)]  #get dimensions num_data,dim = x.shape

it gives attributeerror: 'list' object has no attribute 'shape'

anyone can help?

a link detailed tutorial appreciated

when

[np.asarray(image.open(os.path.join(dirname, fn))) fn in os.listdir(dirname)]

it return array, stored in local variable x

you trying extract variables list, , hence error.

the individual elements within x have shape attributes. hence, need (modify according datastructure shape defined )

dim0 = x[0].shape , on


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