import numpy as np
import cv2
import math
from matplotlib import pyplot as plt

def resize(input, percentage):
    original_width, original_height, channels = input.shape
    print("Original dimensions: [%d ; %d ; %d]" % (original_width, original_height, channels))
    new_width = int(math.ceil(original_width * (percentage/100)))
    new_height = int(math.ceil(original_height * (percentage / 100)))
    print("New dimensions: [%d ; %d ; %d]" % (new_width, new_height, channels))
    output = np.zeros((new_width,new_height,channels))
    print("New matrix created, type: %s" % (type(output)))
    for i in range(new_width):
        for j in range(new_height):
            output[i, j, 0] = input[math.floor(i / (percentage / 100)), math.floor(j / (percentage / 100)), 0]
            output[i, j, 1] = input[math.floor(i / (percentage / 100)), math.floor(j / (percentage / 100)), 1]
            output[i, j, 2] = input[math.floor(i / (percentage / 100)), math.floor(j / (percentage / 100)), 2]

    return output

ajtaci = cv2.imread('itcrowd.bmp', 1)
invader = cv2.imread('invader.bmp', 1)

cv2.imshow("test", resize(ajtaci, 50))

cv2.imshow("Ajtaci", ajtaci)


cv2.waitKey(0)
cv2.destroyAllWindows()