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files/img2txt.py

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+"""
+@author: Viet Nguyen <nhviet1009@gmail.com>
+"""
+import argparse
+
+import cv2
+import numpy as np
+
+
+def get_args():
+    parser = argparse.ArgumentParser("Image to ASCII")
+    parser.add_argument("--input", type=str, default="data/input.jpg", help="Path to input image")
+    parser.add_argument("--output", type=str, default="data/output.txt", help="Path to output text file")
+    parser.add_argument("--mode", type=str, default="complex", choices=["simple", "complex"],
+                        help="10 or 70 different characters")
+    parser.add_argument("--num_cols", type=int, default=150, help="number of character for output's width")
+    args = parser.parse_args()
+    return args
+
+
+def main(opt):
+    if opt.mode == "simple":
+        CHAR_LIST = '@%#*+=-:. '
+    else:
+        CHAR_LIST = "$@B%8&WM#*oahkbdpqwmZO0QLCJUYXzcvunxrjft/\|()1{}[]?-_+~<>i!lI;:,\"^`'. "
+    num_chars = len(CHAR_LIST)
+    num_cols = opt.num_cols
+    image = cv2.imread(opt.input)
+    image = cv2.cvtColor(image, cv2.COLOR_BGR2GRAY)
+    height, width = image.shape
+    cell_width = width / opt.num_cols
+    cell_height = 2 * cell_width
+    num_rows = int(height / cell_height)
+    if num_cols > width or num_rows > height:
+        print("Too many columns or rows. Use default setting")
+        cell_width = 6
+        cell_height = 12
+        num_cols = int(width / cell_width)
+        num_rows = int(height / cell_height)
+
+    output_file = open(opt.output, 'w')
+    for i in range(num_rows):
+        for j in range(num_cols):
+            output_file.write(
+                CHAR_LIST[min(int(np.mean(image[int(i * cell_height):min(int((i + 1) * cell_height), height),
+                                          int(j * cell_width):min(int((j + 1) * cell_width),
+                                                                  width)]) * num_chars / 255), num_chars - 1)])
+        output_file.write("\n")
+    output_file.close()
+
+
+if __name__ == '__main__':
+    opt = get_args()
+    main(opt)