diff --git a/convert.py b/convert.py index 3520459..d18842f 100644 --- a/convert.py +++ b/convert.py @@ -52,8 +52,8 @@ def cluster_palette(image: Image): with colour.utilities.suppress_warnings(colour_usage_warnings=True): colours_cam = colour.convert(colours_rgb, "RGB", "CAM16UCS").astype(np.float32) - palettes_rgb = {} - palettes_cam = {} + palettes_rgb = np.empty((16, 16, 3), dtype=np.float32) + palettes_cam = np.empty((16, 16, 3), dtype=np.float32) for palette_idx in range(16): p_lower = max(palette_idx - 2, 0) p_upper = min(palette_idx + 2, 16) @@ -75,7 +75,7 @@ def cluster_palette(image: Image): palette_pixels, 16).initialize() kmedians_instance = kmedians(palette_pixels, initial_centers) kmedians_instance.process() - palettes_cam[palette_idx] = np.array( + palettes_cam[palette_idx, :, :] = np.array( kmedians_instance.get_medians()).astype(np.float32) # palette_colours = collections.defaultdict(list) @@ -111,7 +111,7 @@ def cluster_palette(image: Image): "RGB") # SHR colour palette only uses 4-bit values palette_rgb = np.round(palette_rgb * 15) / 15 - palettes_rgb[palette_idx] = palette_rgb.astype(np.float32) + palettes_rgb[palette_idx, :, :] = palette_rgb.astype(np.float32) # print(palettes_rgb) # For each line, pick the palette with lowest total distance @@ -189,8 +189,9 @@ def main(): # print(palette_rgb) # screen.set_palette(0, (image_py.linear_to_srgb_array(palette_rgb) * # 15).astype(np.uint8)) - for i, p in palettes_rgb.items(): - screen.set_palette(i, (np.round(p * 15)).astype(np.uint8)) + for i in range(16): + screen.set_palette(i, (np.round(palettes_rgb[i, :, :] * 15)).astype( + np.uint8)) output_4bit, line_to_palette = dither_pyx.dither_shr( rgb, palettes_cam, palettes_rgb, rgb_to_cam16) diff --git a/dither.pyx b/dither.pyx index 3ebca48..2506115 100644 --- a/dither.pyx +++ b/dither.pyx @@ -339,7 +339,7 @@ import colour @cython.boundscheck(False) @cython.wraparound(False) -def dither_shr(float[:, :, ::1] working_image, object palettes_cam, object palettes_rgb, float[:,::1] rgb_to_cam16ucs): +def dither_shr(float[:, :, ::1] working_image, float[:, :, ::1] palettes_cam, float[:, :, ::1] palettes_rgb, float[:,::1] rgb_to_cam16ucs): cdef int y, x, idx, best_colour_idx, best_palette cdef float best_distance, distance cdef float[::1] best_colour_rgb, pixel_cam, colour_rgb, colour_cam @@ -351,12 +351,10 @@ def dither_shr(float[:, :, ::1] working_image, object palettes_cam, object palet cdef float[:, ::1] line_cam = np.zeros((320, 3), dtype=np.float32) - line_to_palette = {} + cdef int[::1] line_to_palette = np.zeros(200, dtype=np.int32) best_palette = 15 for y in range(200): print(y) - # palette_rgb = palettes_rgb[line_to_palette[y]] - for x in range(320): colour_cam = convert_rgb_to_cam16ucs( rgb_to_cam16ucs, working_image[y,x,0], working_image[y,x,1], working_image[y,x,2]) @@ -364,7 +362,7 @@ def dither_shr(float[:, :, ::1] working_image, object palettes_cam, object palet best_palette = best_palette_for_line(line_cam, palettes_cam, (y * 16 / 200), best_palette) # print("-->", best_palette) - palette_rgb = palettes_rgb[best_palette] + palette_rgb = palettes_rgb[best_palette, :, :] line_to_palette[y] = best_palette for x in range(320): @@ -511,23 +509,27 @@ def k_means_with_fixed_centroids( @cython.boundscheck(False) @cython.wraparound(False) -cdef int best_palette_for_line(float [:, ::1] line_cam, object palettes_cam, int base_palette_idx, int last_palette_idx): - cdef int palette_idx, best_palette_idx +cdef int best_palette_for_line(float [:, ::1] line_cam, float[:, :, ::1] palettes_cam, int base_palette_idx, int last_palette_idx) nogil: + cdef int palette_idx, best_palette_idx, palette_entry_idx, pixel_idx cdef float best_total_dist, total_dist, best_pixel_dist, pixel_dist cdef float[:, ::1] palette_cam cdef float[::1] pixel_cam, palette_entry best_total_dist = 1e9 best_palette_idx = -1 - for palette_idx, palette_cam in palettes_cam.items(): + cdef int line_size = line_cam.shape[0] + for palette_idx in range(16): + palette_cam = palettes_cam[palette_idx, :, :] if palette_idx < (base_palette_idx - 1) or palette_idx > (base_palette_idx + 1): continue if palette_idx == last_palette_idx: continue total_dist = 0 best_pixel_dist = 1e9 - for pixel_cam in line_cam: - for palette_entry in palette_cam: + for pixel_idx in range(line_size): + pixel_cam = line_cam[pixel_idx] + for palette_entry_idx in range(16): + palette_entry = palette_cam[palette_entry_idx, :] pixel_dist = colour_distance_squared(pixel_cam, palette_entry) if pixel_dist < best_pixel_dist: best_pixel_dist = pixel_dist