script.py

import os
import time

import cv2

from sklearn.model_selection import KFold


model = KFold(n_splits=5, shuffle=False)

import numpy as np
from sklearn.model_selection import KFold
# start = time.perf_counter()
# time.sleep(2)
# end = time.perf_counter()
#
# print(end-start)

for i in range(1, 11):
    for j in range(1, 11):
        
kf = KFold(n_splits=2, shuffle=False)
for train, test in kf.split(X.shape[1]):
    print(train, test)
    print(f'de test: {X[train[0]]}, {X[train[1]]}')
cale = r'C:/Users/Sebi/Desktop/PatternRecogn/PatternRecogn/att_faces'

# # for i in range(1, 41):
# #     for j in range(1, 11):
# #         os.rename(f'{cale}/s{i}/{j}.pgm', f'{cale}/s{i}/p{i}_{j}.pgm')
# #
# nume = 'p5_1.pgm'
#
# start_index = nume.index('p')
# endindex = nume.index('_')
#
# substring = nume[start_index + 1:endindex]
#
# print(substring)