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