from sklearn import datasets, svm, metrics
import cv2
import numpy as np
from matplotlib import pyplot as plt


tab =[]
for x in range(1,10):
    name='b'+str(x)+'.jpg'
    img=cv2.imread(name)
    cv2.imshow('df',img)
    tab.append(img)
    cv2.waitKey(100)
# hist = cv2.calcHist([obraz], [1], None, [8], [0,256])