new braille method
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fedab1a585
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ascii.py
74
ascii.py
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@ -1,5 +1,4 @@
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#! /usr/bin/env python3
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# -*- coding: utf-8 -*-
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#!/usr/bin/env python3
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"""
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ASCII
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"""
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@ -16,7 +15,7 @@ BRAIL_CHARS = "⠿⠾⠼⠸⠰⠠ "
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HEADERS = {'User-Agent': 'Gimme ascii.'}
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def scale_image(image, maxDim=100):
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def scale_image(image, maxDim=(100,100)):
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"""
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Resizes an image while preserving the aspect ratio. Chooses the
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dimension to scale by based on whichever is larger, ensuring that
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@ -27,14 +26,14 @@ def scale_image(image, maxDim=100):
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"""
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original_width, original_height = image.size
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original_width = original_width * 2
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if original_width <= maxDim and original_height <= maxDim:
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if original_width <= maxDim[0] and original_height <= maxDim[1]:
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new_width, new_height = image.size
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elif original_width > original_height:
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new_width = maxDim
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new_width = maxDim[0]
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aspect_ratio = original_height/float(original_width)
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new_height = int(aspect_ratio * new_width)
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else:
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new_height = maxDim
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new_height = maxDim[1]
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aspect_ratio = original_width/float(original_height)
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new_width = int(aspect_ratio * new_height)
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image = image.resize((new_width, new_height))
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@ -223,6 +222,58 @@ def handle_gif(imagePath, **kwargs):
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numpngw.write_apng(file, np_ascii_seq)
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def brail_char(chunk, threshold):
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"""
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Accepts a numpy matrix and spits out a brail character.
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"""
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chunk = np.array_split(chunk, 3, axis=0)
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chunk = np.concatenate(chunk, axis=1)
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chunk = np.array_split(chunk, 6, axis=1)
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dots = ""
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for sub_chunk in chunk:
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if np.mean(sub_chunk) < threshold:
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dots += "1"
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else:
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dots += "0"
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char = chr(int(dots, base=2)+10240)
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return char
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def image_to_brail(image, fontSize=(8,15)):
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"""
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An alternative method of generating brail ascii art.
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"""
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if not image:
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image = open_image(kwargs["imagePath"])
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if image.mode == "P":
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image = image.convert(image.palette.mode)
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if image.mode == "RGBA":
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image = alpha_composite(image).convert("RGB")
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image = image.convert("L")
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matSize = (image.size[0] // fontSize[0], image.size[1] // fontSize[1])
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if image.size[0] > fontSize[0]*100 or image.size[1] > fontSize[1]*100:
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image = scale_image(image, (fontSize[0]*100, fontSize[1]*100))
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image = image.crop((0, 0, matSize[0]*fontSize[0], matSize[1]*fontSize[1]))
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threshold = np.mean(image)
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grid = np.array(image)
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grid = np.split(grid, matSize[1], axis=0)
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grid = np.concatenate(grid, axis=1)
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grid = np.split(grid, matSize[0]*matSize[1], axis=1)
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for n, chunk in enumerate(grid):
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char = brail_char(chunk, threshold)
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grid[n] = char
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grid = "".join(grid)
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grid = [grid[n : n + matSize[0]] for n in range(0, len(grid), matSize[0])]
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return "\n".join(grid)
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if __name__=='__main__':
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import argparse
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@ -275,6 +326,11 @@ if __name__=='__main__':
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"--brail",
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action="store_true",
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help="Uses brail unicode characters instead of ascii characters.")
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parser.add_argument(
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"-B",
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"--brail2",
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action="store_true",
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help="A better braille algorithm for a better you.")
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args = parser.parse_args()
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if args.animated: # --animated includes --image
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@ -287,6 +343,12 @@ if __name__=='__main__':
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handle_gif(**vars(args))
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exit()
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if args.brail2:
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image = open_image(args.imagePath)
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chars = image_to_brail(image)
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print(chars)
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exit()
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image_ascii = image_to_ascii(None, **vars(args))
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if args.drawImage:
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image = ascii_to_image(image_ascii)
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