Converts Hubble Images into Sound

Deep Space Musical

from statistics import median
import numpy as np
import cv2
import skimage.measure
import matplotlib.pyplot as plt
import winsound

finalnotes = []

im = cv2.imread(r'C:\Users\vikas\OneDrive\Desktop\Back ground\pillars.jpg', 0) # Can be many different formats.

x=cv2.resize(im, (1500, 1000))

x = skimage.measure.block_reduce(x, (3,3), np.max)
x = skimage.measure.block_reduce(x, (4,4), np.mean)
nim = skimage.measure.block_reduce(x, (4,4), np.mean)

notes = np.ndarray.flatten(nim)

notes=list(notes)

for item in notes:
    if item < 30:
        finalnotes.append(item*10)
        
    elif item < 50:
        finalnotes.append(item*4)
        
    elif item < 150:
        finalnotes.append(item*5)
        
    elif item>150:
        finalnotes.append(item*15)        

plt.imshow(nim)
for n in range(0,672):
        
    winsound.Beep(int(finalnotes[n]), 350)
    print(n)