Apple-2-SW/ii-pix
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kris 2021-11-18 17:34:27 +00:00
parent d7969f50ba
commit 7609297f0d
2 changed files with 14 additions and 5 deletions
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1
convert.py
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@ -254,6 +254,7 @@ def main():
rgb, reserved_colours=1, rgb12_iigs_to_cam16ucs=rgb12_iigs_to_cam16ucs)
while iterations_since_improvement < iterations:
print(iterations_since_improvement)
new_palettes_cam, new_palettes_rgb12_iigs, new_palette_errors = (
cluster_palette.propose_palettes())

18
dither.pyx
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@ -491,12 +491,17 @@ cdef int best_palette_for_line(float [:, ::1] line_cam, float[:, :, ::1] palette
@cython.boundscheck(False)
@cython.wraparound(False)
def convert_rgb12_iigs_to_cam(float [:, ::1] rgb12_iigs_to_cam16ucs, (unsigned char)[::1] point_rgb12) -> float[::1]:
cdef float[::1] _convert_rgb12_iigs_to_cam(float [:, ::1] rgb12_iigs_to_cam16ucs, (unsigned char)[::1] point_rgb12):
cdef int rgb12 = (point_rgb12[0] << 8) | (point_rgb12[1] << 4) | point_rgb12[2]
return rgb12_iigs_to_cam16ucs[rgb12]
def convert_rgb12_iigs_to_cam(float [:, ::1] rgb12_iigs_to_cam16ucs, (unsigned char)[::1] point_rgb12) -> float[::1]:
return _convert_rgb12_iigs_to_cam(rgb12_iigs_to_cam16ucs, point_rgb12)
import colour
@cython.boundscheck(False)
@cython.wraparound(False)
cdef float[::1] linear_to_srgb_array(float[::1] a, float gamma=2.4):
cdef int i
cdef float[::1] res = np.empty(3, dtype=np.float32)
@ -509,7 +514,7 @@ cdef float[::1] linear_to_srgb_array(float[::1] a, float gamma=2.4):
@cython.boundscheck(False)
@cython.wraparound(False)
def convert_cam16ucs_to_rgb12_iigs(float[::1] point_cam) -> int[::1]: # XXX return type
cdef (unsigned char)[::1] _convert_cam16ucs_to_rgb12_iigs(float[::1] point_cam):
cdef float[::1] rgb, rgb12_iigs
cdef int i
@ -531,6 +536,9 @@ def convert_cam16ucs_to_rgb12_iigs(float[::1] point_cam) -> int[::1]: # XXX ret
return np.round(rgb12_iigs).astype(np.uint8)
def convert_cam16ucs_to_rgb12_iigs(float[::1] point_cam):
return _convert_cam16ucs_to_rgb12_iigs(point_cam)
@cython.boundscheck(False)
@cython.wraparound(False)
def k_means_with_fixed_centroids(
@ -567,7 +575,7 @@ def k_means_with_fixed_centroids(
closest_centroid_idx = 0
for centroid_idx in range(n_clusters):
centroid_rgb12 = centroids_rgb12[centroid_idx, :]
error = colour_distance_squared(convert_rgb12_iigs_to_cam(rgb12_iigs_to_cam16ucs, centroid_rgb12), point_cam)
error = colour_distance_squared(_convert_rgb12_iigs_to_cam(rgb12_iigs_to_cam16ucs, centroid_rgb12), point_cam)
if error < best_error:
best_error = error
closest_centroid_idx = centroid_idx
@ -582,8 +590,8 @@ def k_means_with_fixed_centroids(
new_centroid_cam[i] = (
centroid_cam_sample_positions_total[centroid_idx, i] / centroid_sample_counts[centroid_idx])
centroid_movement += colour_distance_squared(
convert_rgb12_iigs_to_cam(rgb12_iigs_to_cam16ucs, centroids_rgb12[centroid_idx]), new_centroid_cam)
new_centroid_rgb12 = convert_cam16ucs_to_rgb12_iigs(new_centroid_cam)
_convert_rgb12_iigs_to_cam(rgb12_iigs_to_cam16ucs, centroids_rgb12[centroid_idx]), new_centroid_cam)
new_centroid_rgb12 = _convert_cam16ucs_to_rgb12_iigs(new_centroid_cam)
for i in range(3):
if centroids_rgb12[centroid_idx, i] != new_centroid_rgb12[i]:
# print(i, centroids_rgb12[centroid_idx, i], new_centroid_rgb12[i])