Прошло 2 года.
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75
lib/epdiy/scripts/imgconvert.py
Executable file
75
lib/epdiy/scripts/imgconvert.py
Executable file
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#!python3
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from PIL import Image
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from argparse import ArgumentParser
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import sys
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import math
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parser = ArgumentParser()
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parser.add_argument('-i', action="store", dest="inputfile", required=True)
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parser.add_argument('-n', action="store", dest="name", required=True)
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parser.add_argument('-o', action="store", dest="outputfile", required=True)
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parser.add_argument('-maxw', action="store", dest="max_width", default=1200, type=int)
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parser.add_argument('-maxh', action="store", dest="max_height", default=825, type=int)
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parser.add_argument('-nd', action="store_false", dest="dither", required=False, default=True)
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parser.add_argument('-l', action="store", dest="levels", default=16, type=int)
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args = parser.parse_args()
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if args.levels > 16:
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raise Exception("Maximum 16 levels of gray supported by this program")
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if args.levels < 2:
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# less than 2 doesn't make sense, there is at least on and off
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arg.levels = 2
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if args.max_height < 1:
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raise Exception("Max height cannot be lower than 1")
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if args.max_width < 1:
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raise Exception("Max width cannot be lower than 1")
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im = Image.open(args.inputfile)
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if im.mode == 'I;16': # some pngs load like this
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# so we fix it
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im = im.point(lambda i:i*(1./256)).convert('L')
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im.thumbnail((args.max_width, args.max_height), Image.LANCZOS)
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if im.mode != 'L':
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if im.mode != 'RGB':
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im = im.convert(mode='RGB') # drop alpha
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# now we can convert it to grayscale to get rid of colors
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im = im.convert(mode='L')
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# but the quant algorithm works much better on RGB, so go to RGB mode just for that (even though we're still grayscale)
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im = im.convert(mode='RGB')
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# prepare a palette for the levels of gray
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paletteImage = Image.new(mode='P', size=[1,1])
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# we make a palette that matches the indexed colors of the display, just repeating the same value for rgb
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paletteColors = [round(i * 255.0 / (args.levels - 1)) for i in range(0,args.levels) for c in range(0,3)]
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paletteImage.putpalette(paletteColors, rawmode='RGB')
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im = im.quantize(colors=args.levels, palette=paletteImage, dither=Image.Dither.FLOYDSTEINBERG if args.dither else Image.Dither.NONE)
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# now it's quantizied to the palette, 0 == dark, args.levels-1 == white
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# Write out the output file.
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with open(args.outputfile, 'w') as f:
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f.write("const uint32_t {}_width = {};\n".format(args.name, im.size[0]))
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f.write("const uint32_t {}_height = {};\n".format(args.name, im.size[1]))
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f.write(
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"const uint8_t {}_data[({}*{})/2] = {{\n".format(args.name, math.ceil(im.size[0] / 2) * 2, im.size[1])
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)
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for y in range(0, im.size[1]):
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byte = 0
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for x in range(0, im.size[0]):
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l = im.getpixel((x, y))
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if x % 2 == 0:
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byte = l
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else:
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byte |= l << 4
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f.write("0x{:02X}, ".format(byte))
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if im.size[0] % 2 == 1:
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f.write("0x{:02X}, ".format(byte))
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f.write("\n\t")
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f.write("};\n")
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