image = np.array(plt.imread("kierowca.jpg"))
image = image[:,:,2]
image2 = image
mean = np.mean(image)

unique_elements, counts_elements = np.unique(image2, return_counts=True)
cumulativeSumCounts = np.cumsum(counts_elements)
for x,y in zip(unique_elements,cumulativeSumCounts):
    image2[image2 == x] = ((y - min(cumulativeSumCounts)) * 255)/ (np.size(image2))
X,Y,uniqueE,countsE = Histogram(image2,iloscP)
plt.bar(X,Y,width = zakres,edgecolor='red',align = "edge")
plt.xticks(X,fontsize = 10)

plt.show()