Running tkinter (packange pythin3-tk in Linux) as a separate process to display images, generated in main program

1_tkinter_separate.py

# My answer here: https://stackoverflow.com/questions/52793096/reload-and-zoom-image/52818151#52818151

from PIL import ImageTk, Image

from scipy.ndimage import rotate
from scipy.misc import imresize
import numpy as np
import time


# do not import *, as there is another Image
from tkinter import NW, Tk, Canvas, Label

from multiprocessing import Process, Queue


# initial image
image = Image.open("2_img.png")


# convert to numpy
image = np.array(image)
        

# process which will show updated images
def display_process(q):
    # initialize window and label which will show images
    master = Tk()
    label = Label(master)
    label.pack()
    
    
    # take numpy image from Queue, draw in on canvas
    def change_img(): 
        # get one image from queue. 
        # if there is no one, None will be received
        image = q.get()
        # if not image received yet, skip
        if image is not None:
            print(image.shape)
            # image array should be uint8 type with 3 channels (x, x, 3)
            photo = ImageTk.PhotoImage(image = Image.fromarray(image))
            label.configure(image=photo)
            label.image = photo
            
        
        # schedule next update
        master.update_idletasks()
        # check for new image each 50ms
        master.after(50, change_img)
    
        
    change_img()
    master.mainloop() # draw canves, locks process

# Queue, through which exchange will be made
q = Queue()
q.put(image)

p = Process(target=display_process, args=(q,))
p.daemon = True # exit process on program exit

p.start() # start process




# main program (your loop code here) ----------

# Example:


for i in range(10):
    # take numpy image, rotate it
    image = rotate(image, 90)
    
    # you can use fixed zoom factor for your images
    # interp='nearest' uses nearest neghbor interpolation without smoothing
    # (so you can see pixels)
    image2 = imresize(image, 5.0, interp='nearest')
    # send it to process
    q.put(image2)
    time.sleep(0.5)

2_img.png