#!/usr/bin/env python # Scroll IRC Art Bot - Developed by acidvegas in Python (https://git.acid.vegas/scroll) ''' Props: - forked idea from malcom's img2irc (https://github.com/waveplate/img2irc) - big props to wrk (wr34k) for forking this + opencv implementation ''' try: import cv2 except ImportError: raise SystemExit('missing required \'opencv-python\' library (https://pypi.org/project/opencv-python/)') try: import numpy as np except ImportError: raise SystemExit('missing required \'numpy\' library (https://pypi.org/project/numpy/)') palettes = { 'RGB16': [0xffffff, 0x000000, 0x00007f, 0x009300, 0xff0000, 0x7f0000, 0x9c009c, 0xfc7f00, 0xffff00, 0x00fc00, 0x009393, 0x00ffff, 0x0000fc, 0xff00ff, 0x0, 0x0], 'RGB88': [0xffffff, 0x000000, 0x00007f, 0x009300, 0xff0000, 0x7f0000, 0x9c009c, 0xfc7f00, 0xffff00, 0x00fc00, 0x009393, 0x00ffff, 0x0000fc, 0xff00ff, 0x0, 0x0, 0x470000, 0x472100, 0x474700, 0x324700, 0x004700, 0x00472c, 0x004747, 0x002747, 0x000047, 0x2e0047, 0x470047, 0x47002a, 0x740000, 0x743a00, 0x747400, 0x517400, 0x007400, 0x007449, 0x007474, 0x004074, 0x000074, 0x4b0074, 0x740074, 0x740045, 0xb50000, 0xb56300, 0xb5b500, 0x7db500, 0x00b500, 0x00b571, 0x00b5b5, 0x0063b5, 0x0000b5, 0x7500b5, 0xb500b5, 0xb5006b, 0xff0000, 0xff8c00, 0xffff00, 0xb2ff00, 0x00ff00, 0x00ffa0, 0x00ffff, 0x008cff, 0x0000ff, 0xa500ff, 0xff00ff, 0xff0098, 0xff5959, 0xffb459, 0xffff71, 0xcfff60, 0x6fff6f, 0x65ffc9, 0x6dffff, 0x59b4ff, 0x5959ff, 0xc459ff, 0xff66ff, 0xff59bc, 0xff9c9c, 0xffd39c, 0xffff9c, 0xe2ff9c, 0x9cff9c, 0x9cffdb, 0x9cffff, 0x9cd3ff, 0x9c9cff, 0xdc9cff, 0xff9cff, 0xff94d3], 'RGB99': [0xffffff, 0x000000, 0x00007f, 0x009300, 0xff0000, 0x7f0000, 0x9c009c, 0xfc7f00, 0xffff00, 0x00fc00, 0x009393, 0x00ffff, 0x0000fc, 0xff00ff, 0x7f7f7f, 0xd2d2d2, 0x470000, 0x472100, 0x474700, 0x324700, 0x004700, 0x00472c, 0x004747, 0x002747, 0x000047, 0x2e0047, 0x470047, 0x47002a, 0x740000, 0x743a00, 0x747400, 0x517400, 0x007400, 0x007449, 0x007474, 0x004074, 0x000074, 0x4b0074, 0x740074, 0x740045, 0xb50000, 0xb56300, 0xb5b500, 0x7db500, 0x00b500, 0x00b571, 0x00b5b5, 0x0063b5, 0x0000b5, 0x7500b5, 0xb500b5, 0xb5006b, 0xff0000, 0xff8c00, 0xffff00, 0xb2ff00, 0x00ff00, 0x00ffa0, 0x00ffff, 0x008cff, 0x0000ff, 0xa500ff, 0xff00ff, 0xff0098, 0xff5959, 0xffb459, 0xffff71, 0xcfff60, 0x6fff6f, 0x65ffc9, 0x6dffff, 0x59b4ff, 0x5959ff, 0xc459ff, 0xff66ff, 0xff59bc, 0xff9c9c, 0xffd39c, 0xffff9c, 0xe2ff9c, 0x9cff9c, 0x9cffdb, 0x9cffff, 0x9cd3ff, 0x9c9cff, 0xdc9cff, 0xff9cff, 0xff94d3, 0x000000, 0x131313, 0x282828, 0x363636, 0x4d4d4d, 0x656565, 0x818181, 0x9f9f9f, 0xbcbcbc, 0xe2e2e2, 0xffffff] } def convert(data, max_line_len, img_width=80, palette='RGB99', quantize_colors=None): if palette not in palettes: raise Exception('invalid palette option') palette = palettes[palette] np_arr = np.asarray(bytearray(data), dtype="uint8") image = cv2.imdecode(np_arr, cv2.IMREAD_COLOR) del data return convert_image(image, quantize_colors, max_line_len, img_width, palette) def convert_image(orig_image, quantize_colors, max_line_len, img_width, palette): image = ircize(orig_image, img_width, quantize_colors) CHAR = '\u2580' buf = list() for i in range(0, image.shape[0], 2): if i+1 >= image.shape[0]: bitmap = [[bgr_to_hex(image[i, x]) for x in range(image.shape[1])]] bitmap += [[0 for _ in range(image.shape[1])]] else: bitmap = [[bgr_to_hex(image[y, x]) for x in range(image.shape[1])] for y in [i, i+1]] top_row = [AnsiPixel(px, palette) for px in bitmap[0]] bottom_row = [AnsiPixel(px, palette) for px in bitmap[1]] buf += [""] last_fg = last_bg = -1 ansi_row = list() for j in range(image.shape[1]): top_pixel = top_row[j] bottom_pixel = bottom_row[j] pixel_pair = AnsiPixelPair(top_pixel, bottom_pixel) fg = pixel_pair.top.irc bg = pixel_pair.bottom.irc if j != 0: if fg == last_fg and bg == last_bg: buf[-1] += CHAR elif bg == last_bg: buf[-1] += f'\x03{fg}{CHAR}' else: buf[-1] += f'\x03{fg},{bg}{CHAR}' else: buf[-1] += f'\x03{fg},{bg}{CHAR}' last_fg = fg last_bg = bg if len(buf[-1].encode('utf-8', 'ignore')) > max_line_len: if img_width - 5 < 5: raise Exception('image would get too small') return convert_image(orig_image, quantize_colors, max_line_len, img_width-5, palette) return buf def ircize(image, img_width, quantize_colors): (height, width, _) = image.shape img_height = img_width / width * height image = cv2.resize(image, (int(img_width), int(img_height)), interpolation=cv2.INTER_AREA) brightness = np.sum(image) / (255 * image.shape[0] * image.shape[1]) minimum_brightness = 0.72 ratio = brightness / minimum_brightness if ratio < 1: image = cv2.convertScaleAbs(image, alpha = 1 / ratio, beta = 0) imgf = np.float32(image).reshape(-1, 3) criteria = (cv2.TERM_CRITERIA_EPS+cv2.TERM_CRITERIA_MAX_ITER,20,2.0) compactness, label, center = cv2.kmeans(imgf, quantize_colors, None, criteria, 10, cv2.KMEANS_RANDOM_CENTERS) center = np.uint8(center) final_img = center[label.flatten()] image = final_img.reshape(image.shape) return image def hex_to_rgb(color): r = (color >> 16) & 255 g = (color >> 8) & 255 b = color & 255 return (r,g,b) def rgb_to_hex(rgb): if len(list(rgb)) < 3: r = g = b = rgb[0] else: r = rgb[0] g = rgb[1] b = rgb[2] return (r << 16) + (g << 8) + b def bgr_to_hex(bgr): return rgb_to_hex((bgr[0], 0, 0)) if len(list(bgr)) < 3 else rgb_to_hex((bgr[2], bgr[1], bgr[0])) def color_distance_squared(c1, c2): d1 = abs(c1[0] - c2[0]) d2 = abs(c1[1] - c2[1]) d3 = abs(c1[2] - c2[2]) return d1 * d1 + d2 * d2 + d3 * d3 class AnsiPixel: def __init__(self, pixel_u32, palette): self.irc = self.nearest_hex_color(pixel_u32, palette) def nearest_hex_color(self, pixel_u32, hex_colors): rgb_colors = [hex_to_rgb(color) for color in hex_colors] rgb_colors.sort(key=lambda rgb: color_distance_squared(hex_to_rgb(pixel_u32), rgb)) hex_color = rgb_to_hex(rgb_colors[0]) return hex_colors.index(hex_color) class AnsiPixelPair: def __init__(self, top, bottom): self.top = top self.bottom = bottom