mirror of
https://github.com/KrisKennaway/ii-pix.git
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113 lines
4.2 KiB
Python
113 lines
4.2 KiB
Python
"""Image converter to Apple II Double Hi-Res format."""
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import argparse
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import os.path
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import time
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import colour
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from PIL import Image
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import numpy as np
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import dither as dither_pyx
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import dither_pattern
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import image as image_py
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import palette as palette_py
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import screen as screen_py
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# TODO:
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# - support LR/DLR
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# - support HGR
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def main():
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parser = argparse.ArgumentParser()
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parser.add_argument("input", type=str, help="Input image file to process.")
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parser.add_argument("output", type=str, help="Output file for converted "
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"Apple II image.")
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parser.add_argument(
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"--lookahead", type=int, default=8,
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help=("How many pixels to look ahead to compensate for NTSC colour "
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"artifacts (default: 8)"))
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parser.add_argument(
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'--dither', type=str, choices=list(dither_pattern.PATTERNS.keys()),
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default=dither_pattern.DEFAULT_PATTERN,
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help="Error distribution pattern to apply when dithering (default: "
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+ dither_pattern.DEFAULT_PATTERN + ")")
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parser.add_argument(
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'--show-input', action=argparse.BooleanOptionalAction, default=False,
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help="Whether to show the input image before conversion.")
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parser.add_argument(
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'--show-output', action=argparse.BooleanOptionalAction, default=True,
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help="Whether to show the output image after conversion.")
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parser.add_argument(
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'--palette', type=str, choices=list(set(palette_py.PALETTES.keys())),
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default=palette_py.DEFAULT_PALETTE,
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help='RGB colour palette to dither to. "ntsc" blends colours over 8 '
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'pixels and gives better image quality on targets that '
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'use/emulate NTSC, but can be substantially slower. Other '
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'palettes determine colours based on 4 pixel sequences '
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'(default: ' + palette_py.DEFAULT_PALETTE + ")")
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parser.add_argument(
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'--show-palette', type=str, choices=list(palette_py.PALETTES.keys()),
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help="RGB colour palette to use when --show_output (default: "
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"value of --palette)")
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parser.add_argument(
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'--verbose', action=argparse.BooleanOptionalAction,
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default=False, help="Show progress during conversion")
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parser.add_argument(
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'--gamma_correct', type=float, default=2.4,
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help='Gamma-correct image by this value (default: 2.4)'
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)
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args = parser.parse_args()
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if args.lookahead < 1:
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parser.error('--lookahead must be at least 1')
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palette = palette_py.PALETTES[args.palette]()
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screen = screen_py.DHGRScreen(palette)
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# Conversion matrix from RGB to CAM16UCS colour values. Indexed by
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# 24-bit RGB value
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rgb_to_cam16 = np.load("data/rgb_to_cam16ucs.npy")
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# Open and resize source image
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image = image_py.open(args.input)
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if args.show_input:
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image_py.resize(image, screen.X_RES, screen.Y_RES * 2,
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srgb_output=True).show()
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rgb = np.array(
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image_py.resize(image, screen.X_RES, screen.Y_RES,
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gamma=args.gamma_correct)).astype(np.float32) / 255
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dither = dither_pattern.PATTERNS[args.dither]()
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bitmap = dither_pyx.dither_image(
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screen, rgb, dither, args.lookahead, args.verbose, rgb_to_cam16)
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# Show output image by rendering in target palette
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output_palette_name = args.show_palette or args.palette
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output_palette = palette_py.PALETTES[output_palette_name]()
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output_screen = screen_py.DHGRScreen(output_palette)
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if output_palette_name == "ntsc":
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output_srgb = output_screen.bitmap_to_image_ntsc(bitmap)
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else:
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output_srgb = image_py.linear_to_srgb(
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output_screen.bitmap_to_image_rgb(bitmap).astype(np.uint8))
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out_image = image_py.resize(
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Image.fromarray(output_srgb), screen.X_RES, screen.Y_RES * 2,
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srgb_output=True)
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if args.show_output:
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out_image.show()
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# Save Double hi-res image
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outfile = os.path.join(os.path.splitext(args.output)[0] + "-preview.png")
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out_image.save(outfile, "PNG")
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screen.pack(bitmap)
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with open(args.output, "wb") as f:
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f.write(bytes(screen.aux))
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f.write(bytes(screen.main))
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if __name__ == "__main__":
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main()
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