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https://github.com/KrisKennaway/ii-pix.git
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53 lines
1.7 KiB
Python
53 lines
1.7 KiB
Python
"""Precomputes all possible colours available via NTSC emulation."""
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import numpy as np
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from PIL import Image
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import screen
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def main():
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s = screen.DHGRScreen(palette=None)
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colours = {}
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unique = set()
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print("import numpy as np")
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print()
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print("# Indexed by (trailing 8-bit dot pattern, x % 4)")
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print("SRGB = {")
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# For each sequence of 8 pixels, compute the RGB colour of the right-most
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# pixel, using NTSC emulation.
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# Double Hi-Res has a timing shift that rotates the displayed bits one
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# position with respect to NTSC phase.
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ntsc_shift = 1
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for j in range(ntsc_shift, ntsc_shift + 4):
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bitmap = np.zeros((1, 11 + ntsc_shift), dtype=bool)
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for bits in range(256):
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bits8 = np.empty((8,), dtype=bool)
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for i in range(8):
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bits8[i] = bits & (1 << i)
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bitmap[0, j:j + 8] = bits8
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# bitmap_to_ntsc produces 3 output pixels for each DHGR input
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ntsc = s.bitmap_to_image_ntsc(bitmap)
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last_colour = ntsc[0, 3 * (j + 8) - 1, :]
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colours[(bits, j - ntsc_shift)] = last_colour
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unique.add(tuple(last_colour))
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print(" (%d, %d): np.array((%d, %d, %d))," % (
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bits, j - ntsc_shift, last_colour[0], last_colour[1],
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last_colour[2]))
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print("}")
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print("# %d unique colours" % len(unique))
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# Show spectrum of available colours sorted by HSV hue value
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im = np.zeros((128 * 4, 256 * 16, 3), dtype=np.uint8)
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for x, j in colours:
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im[128 * j:128 * (j + 1), x * 16: (x + 1) * 16, :] = colours[x, j]
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Image.fromarray(im).show()
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if __name__ == "__main__":
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main()
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