362 lines
10 KiB
Python
Executable File
362 lines
10 KiB
Python
Executable File
#! /usr/bin/env python3
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# -*- coding: utf-8 -*-
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"""
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ASCII
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"""
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from io import BytesIO
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import argparse
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import requests
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from PIL import Image, ImageFont, ImageDraw
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#import imageio
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import numpy as np
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import numpngw
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import module
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from tools import web
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ASCII_CHARS = "$@%#*+=-:. "
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BRAIL_CHARS = "⠿⠾⠼⠸⠰⠠ "
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HEADERS = {'User-Agent': 'Gimme the ascii.'}
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def scale_image(image, size=(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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neither width or height is ever larger than the accepted size tuple.
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Because text characters are typically pretty close to a 1:2 rectangle,
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we weight the width twice as much.
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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 > original_height:
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if original_width > size[0]:
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new_width = size[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_width, new_height = image.size
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else:
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if original_height > size[1]:
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new_height = size[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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else:
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new_width, new_height = image.size
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image = image.resize((new_width, new_height))
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return image
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def pixels_to_chars(image, scale="ascii"):
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"""
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Maps each pixel to an ascii char based on where it falls in the range
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0-255 normalized to the length of ASCII_CHARS.
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"""
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scales = {"ascii": ASCII_CHARS,
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"ascii_reverse": "".join(list(reversed(ASCII_CHARS))),
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"brail": BRAIL_CHARS,
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"brail_reverse": "".join(list(reversed(BRAIL_CHARS)))}
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range_width = int(255 / len(scales[scale])) + (255 % len(scales[scale]) > 0)
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pixels = list(image.getdata())
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chars = []
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for pixel in pixels:
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index = int(pixel/range_width)
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chars.append(scales[scale][index])
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chars = "".join(chars)
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chars = [chars[i:i + image.size[0]] for i in range(0, len(chars),
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image.size[0])]
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return "\n".join(chars)
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def char_color(pixel, code="irc"):
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"""
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Maps a color to a character based on the original pixel color.
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Calculates the distance from the provided color to each of the 16
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colors in the IRC and ANSI color codes and selects the closest match.
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"""
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colors_index = ["white", "black", "blue", "green", "red", "brown", "purple",
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"orange", "yellow", "light green", "teal", "cyan", "light blue", "pink",
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"grey", "silver"]
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colors_rgb = {"white": (0,0,0), "black": (255,255,255), "blue": (0,0,255),
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"green": (0,255,0), "red": (255,0,0), "brown": (150,75,0),
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"purple": (128,0,128), "orange": (255,128,0), "yellow": (255,255,0),
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"light green": (191,255,0), "teal": (0,128,128), "cyan": (0,255,255),
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"light blue": (65,105,225), "pink":(255,192,203), "grey": (128,128,128),
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"silver": (192,192,192)}
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colors_irc = {"white": "0", "black": "1", "blue": "2", "green": "3",
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"red": "4", "brown": "5", "purple": "6", "orange": "7", "yellow": "8",
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"light green": "9", "teal": "10", "cyan": "11", "light blue": "12",
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"pink": "13", "grey": "14", "silver": "15"}
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colors_ansi = {"white": "[1;37m", "black": "[0;30m", "blue": "[0;34m",
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"green": "[0;32m", "red": "[0;31m", "brown": "[0;33m",
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"purple": "[0;35m", "orange": "[1;31m", "yellow": "[1;33m",
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"light green": "[1;32m", "teal": "[0;36m", "cyan": "[1;36m",
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"light blue": "[1;34m", "pink": "[1;35m", "grey": "[1;30m",
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"silver": "[0;37m"}
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dist = [(abs(pixel[0] - colors_rgb[color][0])**2
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+ abs(pixel[1] - colors_rgb[color][1])**2
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+ abs(pixel[2] - colors_rgb[color][2])**2)**0.5
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for color in colors_index]
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color = colors_index[dist.index(min(dist))]
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if code == "irc":
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return colors_irc[color]
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elif code == "ansi":
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return colors_ansi[color]
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def open_image(imagePath):
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"""
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Opens the image at the supplied file path in PIL. If an internet URL
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is supplied, it will download the image and then open it. Returns a
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PIL image object.
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"""
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try:
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if imagePath.startswith("http"):
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res = requests.get(imagePath, headers=HEADERS, verify=True,
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timeout=20)
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res.raise_for_status()
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image = Image.open(BytesIO(res.content))
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else:
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image = Image.open(imagePath)
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except FileNotFoundError as e:
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return f"File not found: {imagePath}"
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except Exception as e:
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return(f"Error opening image: {imagePath}\n{e}")
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return image
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def colorize(chars, image, code):
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"""
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Colorizes the ascii matrix.
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"""
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prefix = {"irc": "\03", "ansi":"\033"}
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chars = chars.split("\n")
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for j in range(0, image.size[1]):
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new_row = ""
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for k in range(0, image.size[0]):
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new_row += prefix[code] + char_color(image.getpixel((k,j)), code)
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new_row += chars[j][k]
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chars[j] = new_row
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return "\n".join(chars)
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def alpha_composite(front, back):
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"""Alpha composite two RGBA images.
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Source: http://stackoverflow.com/a/9166671/284318
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Keyword Arguments:
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front -- PIL RGBA Image object
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back -- PIL RGBA Image object
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"""
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front = np.asarray(front)
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back = np.asarray(back)
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result = np.empty(front.shape, dtype='float')
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alpha = np.index_exp[:, :, 3:]
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rgb = np.index_exp[:, :, :3]
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falpha = front[alpha] / 255.0
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balpha = back[alpha] / 255.0
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result[alpha] = falpha + balpha * (1 - falpha)
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old_setting = np.seterr(invalid='ignore')
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result[rgb] = (front[rgb] * falpha + back[rgb] * balpha * (1 - falpha)) / result[alpha]
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np.seterr(**old_setting)
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result[alpha] *= 255
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np.clip(result, 0, 255)
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# astype('uint8') maps np.nan and np.inf to 0
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result = result.astype('uint8')
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result = Image.fromarray(result, 'RGBA')
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return result
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def alpha_composite_with_color(image, color=(255, 255, 255)):
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"""Alpha composite an RGBA image with a single color image of the
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specified color and the same size as the original image.
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Keyword Arguments:
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image -- PIL RGBA Image object
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color -- Tuple r, g, b (default 255, 255, 255)
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"""
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back = Image.new('RGBA', size=image.size, color=color + (255,))
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return alpha_composite(image, back)
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def image_to_ascii(image, reverse=False, colors=None, brail=False):
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"""
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Reads an image file and converts it to ascii art. Returns a
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newline-delineated string. If reverse is True, the ascii scale is
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reversed.
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"""
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if image.mode == "RGBA":
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image = alpha_composite_with_color(image).convert("RGB")
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image = scale_image(image)
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image_grey = image.convert('L') # convert to grayscale
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if reverse:
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if brail:
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scale = "brail_reverse"
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else:
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scale = "ascii_reverse"
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else:
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if brail:
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scale = "brail"
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else:
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scale = "ascii"
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chars = pixels_to_chars(image_grey, scale)
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if colors:
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chars = colorize(chars, image, colors)
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image.close()
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image_grey.close()
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del(image)
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del(image_grey)
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return chars
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def ascii_to_image(image_ascii):
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"""
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Creates a plain image and draws text on it.
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"""
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# TODO: make font type and size non-fixed
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width = len(image_ascii[:image_ascii.index("\n")]) * 8
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height = (image_ascii.count("\n")+1) * 12 + 4
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font = ImageFont.truetype("LiberationMono-Regular.ttf", 14)
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image = Image.new("RGB", (width, height), (255,255,255))
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draw = ImageDraw.Draw(image)
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draw.text((0,0), image_ascii, (0,0,0), font=font, spacing=0)
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return image
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def handle_gif(image, output, reverse=False):
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"""
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Handle gifs seperately.
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"""
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# image = open_image(args.imagePath)
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ascii_seq = []
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new_image = ascii_to_image(image_to_ascii(image, reverse))
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image.seek(1)
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while True:
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try:
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im = ascii_to_image(image_to_ascii(image, reverse))
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ascii_seq.append(im)
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image.seek(image.tell()+1)
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except EOFError:
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break # end of sequence
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#new_image.save(output, save_all=True, append_images=ascii_seq,
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# duration=60, loop=0, optimize=True)
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ascii_seq = [new_image] + ascii_seq
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np_ascii_seq = [np.array(im) for im in ascii_seq]
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with open(output, "wb") as file:
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numpngw.write_apng(file, np_ascii_seq)
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@module.rate(user=60)
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@module.require_chanmsg(message="It's impolite to whisper.")
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@module.commands('ascii')
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@module.example('.ascii [-rc] https://www.freshports.org/images/freshports.jpg')
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def ascii(bot, trigger):
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"""
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Downloads an image and converts it to ascii.
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"""
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if not trigger.group(2):
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return bot.say()
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parser = argparse.ArgumentParser()
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parser.add_argument("imagePath")
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parser.add_argument("-r", "--reverse", action="store_true")
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parser.add_argument("-c", "--color", action="store_true")
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parser.add_argument("-b", "--brail", action="store_true")
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parser.add_argument("-a", "--animated", action="store_true")
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args = parser.parse_args(trigger.group(2).split())
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if args.color:
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args.color = "irc"
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if not web.secCheck(bot, args.imagePath):
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return bot.reply("Known malicious site. Ignoring.")
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if not args.imagePath.startswith("http"):
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bot.reply("Internet requests only.")
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return
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image = open_image(args.imagePath)
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if args.animated:
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handle_gif(image, "temp.png", args.reverse)
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file = {"file": open("temp.png", "rb")}
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res = requests.post("https://uguu.se/api.php?d=upload-tool", files=file)
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# print(res.text)
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bot.say(res.text)
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else:
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image_ascii = image_to_ascii(image, args.reverse, args.color, args.brail)
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bot.say(image_ascii)
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if __name__=='__main__':
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parser = argparse.ArgumentParser(
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description="Converts an image file to ascii art.")
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parser.add_argument(
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"imagePath",
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help="The full path to the image file.")
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parser.add_argument(
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"-r",
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"--reverse",
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action="store_true",
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help="Reverses the ascii scale.")
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parser.add_argument(
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"-o",
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"--output",
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help="Outputs the ascii art into a file at the specified path.")
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parser.add_argument(
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"-i",
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"--image",
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action="store_true",
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help="Outputs the ascii art as an image rather than plain text. \
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Requires --output.")
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parser.add_argument(
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"-a",
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"--animated",
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action="store_true",
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help="Handles animated GIFs. Includes --image.")
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parser.add_argument(
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"-c",
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"--color",
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type=str,
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help="Colorizes the ascii matrix.")
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parser.set_defaults(reverse=False, image=False, animated=False)
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args = parser.parse_args()
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if args.animated: # --animated includes --image
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args.image = True
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if args.image: # --image requires --output
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if not args.output:
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parser.error("--image requires --output")
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image = open_image(args.imagePath)
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if args.animated:
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handle_gif(image, args.output, args.reverse)
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exit()
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image_ascii = image_to_ascii(image, args.reverse, args.color)
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if args.image:
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image = ascii_to_image(image_ascii)
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image.save(args.output, "PNG")
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elif args.output:
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with open(args.output, "w+") as file:
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file.write(image_ascii)
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else:
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print(image_ascii)
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