hw.py

import cv2
import numpy as np
import tkinter as tk
from PIL import Image, ImageTk
import pickle

def load_obj(name ):
    with open('obj/' + name + '.pkl', 'rb') as f:
        return pickle.load(f)
        
s_dict  =  load_obj("storage_dict")       
hw_dict= s_dict[0]
pc_dict= s_dict[1]
nm_dict = s_dict[2]


pc = {"-":0,".":1,",":2,"/":3,"\\":4,":":5,"&":6,"%":7,"^":8,"(":9,")":10,"[":11,"]":12,"@":13,"#":14,"!":15}

f = open("input.txt", "r")
ans = []
max_len = -1

for line in f:
    print(line)
    line = line.rstrip().lower()
    
    start = 0
    while(line[start]==" "):
        start+=1
    
    if ord(line[start])-97 in hw_dict:
        im_v = hw_dict[ord(line[start])-97].copy()
    elif line[start] in pc:
        im_v = pc_dict[pc[line[start]]].copy()
    
    elif line[start].isnumeric():
        im_v = nm_dict[int(line[start])].copy()
    
    
    for x in line[start+1::]:
        if(ord(x)==32):
            prev =   im_v.shape[1]
            space = np.zeros([im_v.shape[0],hw_dict[0].shape[1]],dtype=np.uint8)
            space.fill(255)
            im_v = cv2.hconcat([im_v,space])

        elif(ord(x)>=97 and ord(x)<=122):  
            prev =   im_v.shape[1]
            im_v = cv2.hconcat([im_v,    cv2.resize(hw_dict[ord(x)-97], (hw_dict[ord(x)-97].shape[1], im_v.shape[0]))  ])
    
        elif( x in pc):
            prev =   im_v.shape[1]
            im_v = cv2.hconcat([im_v,    cv2.resize(pc_dict[pc[x]], (pc_dict[pc[x]].shape[1], im_v.shape[0]))  ])           
         
    ans.append(im_v)
    if(im_v.shape[1]>max_len):
        max_len = im_v.shape[1]
        
deficit_length = [max_len-x.shape[1] for x in ans]

hor_line =    np.zeros([1,max_len],dtype=np.uint8) 

im_v = ans[0]
space = np.zeros([im_v.shape[0],deficit_length[0]],dtype=np.uint8)
space.fill(255)
left_margin = np.zeros([1,max_len],dtype=np.uint8)
left_margin.fill(255)
im_v = cv2.hconcat([im_v,space])
final = cv2.vconcat([im_v,hor_line])  

for i in range(1,len(ans)):
    im_v = ans[i]
    space = np.zeros([im_v.shape[0],deficit_length[i]],dtype=np.uint8)
    space.fill(255)
    im_v = cv2.hconcat([im_v,space])
    
    final = cv2.vconcat([final,im_v,hor_line])  
      

while True:
    cv2.imshow('x', final)
    if cv2.waitKey(100) == 27:
        break
cv2.destroyAllWindows()