Word Artist

final.py

import cv2
import numpy as np
import matplotlib.pyplot as plt

# Put your text here
words = 'word-art'

n_special_characters = 0
for w in words:
    n_special_characters += w.isalpha()
n_special_characters = len(words) - n_special_characters

words = words.upper()

img = np.zeros(shape=(100,90 * len(words) + n_special_characters * 45), dtype=np.int16)
cv2.putText(img=img, text=words, org=(0, 100), fontFace=cv2.FONT_HERSHEY_PLAIN, fontScale=9, color=(255, 255, 255),thickness=5)
plt.imshow(img)
img = np.flip(img, axis=1)

# [blue, orange, green] SUM < 1!!
color_weight = [0.7, 0.1, 0.2]
dot_density = 0.05

xs_c1 = []
ys_c1 = []

xs_c2 = []
ys_c2 = []

xs_c3 = []
ys_c3 = []

for i in range(len(img)):
    for j in range(len(img[0])):
        
        if np.random.random() < dot_density and img[i][j] != 0:
            if np.random.random() < color_weight[0]:
                xs_c1.append(len(img[0]) - j)
                ys_c1.append(len(img) - i)
            elif np.random.random() < color_weight[0] + color_weight[1]:
                xs_c2.append(len(img[0]) - j)
                ys_c2.append(len(img) - i)
            elif np.random.random() < color_weight[1] + color_weight[2]:
                xs_c3.append(len(img[0]) - j)
                ys_c3.append(len(img) - i)


plt.figure(figsize=(16,3))
plt.axis('off')
plt.scatter(xs_c1, ys_c1)
plt.scatter(xs_c2, ys_c2)
plt.scatter(xs_c3, ys_c3)