How to clustering multiple images by the name in python

Question

I have a multiple types of images in one folder and i want to save each type of Images in a different variable by the name and the first 6 character of the name is same and the primly character is the 7th.

i know how to import the images but my issue is how to separate it, and display them in the same time.

import cv2
import glop

image = [cv2.imread(img)for img in glop.glop ("c:/B/*.png")]

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e.g :

sa_01_DF001 "D Type",

sa_01_DF002 "D Type",

sa_01_NB001 "N Type",

sa_01_NB002 "N Type",

sa_01_KP001 "K Type",

sa_01_KP002 "K Type".

To summarize my problem :

• Separate the image by the name.
• Save each type into variable.
• Display multiple image in same time.

Answer 1

Thank you all for the answers, i solve my issue by this :

import cv2
import glob
from keras.models import Sequential
from keras.layers import Conv2D,MaxPooling2D
from keras.layers import Activation,Dropout,Flatten,Dense
import numpy
import os

seed = 10
numpy.random.seed(seed)
image_b = [cv2.imread(file_b)for file_b in glob.glob ("C:/BC/BENI/*.png")]
labels = [name[name.find("_") + 1 : name.find("-")] 
for name in glob.glob ("C:/BC/BENI/*.png")]
labeled_images = list(zip(image_b, labels))
all_image =('image_b')
X = all_image[:] 
Y = all_image[:]