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169 lines
6.0 KiB
169 lines
6.0 KiB
import sys |
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from PIL import Image |
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import numpy as np |
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import collections |
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img_path = '/home/enne2/.gemini/antigravity/brain/69a2b2a9-088f-47ee-9f3c-9ba7ac332992/rat_king_boss_1781730936484.png' |
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try: |
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img = Image.open(img_path).convert('L') |
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except Exception as e: |
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print(f"Error opening image: {e}") |
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sys.exit(1) |
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w, h = img.size |
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target_ratio = 160 / 144 |
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img_ratio = w / h |
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if img_ratio > target_ratio: |
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new_w = int(h * target_ratio) |
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left = (w - new_w) // 2 |
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img = img.crop((left, 0, left + new_w, h)) |
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else: |
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new_h = int(w / target_ratio) |
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top = (h - new_h) // 2 |
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img = img.crop((0, top, w, top + new_h)) |
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img = img.resize((160, 144), Image.Resampling.LANCZOS) |
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np_img = np.array(img) |
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palette_img = np.zeros_like(np_img) |
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palette_img[np_img < 64] = 3 |
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palette_img[(np_img >= 64) & (np_img < 128)] = 2 |
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palette_img[(np_img >= 128) & (np_img < 192)] = 1 |
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palette_img[np_img >= 192] = 0 |
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# Draw GAME OVER text directly onto the pixel data |
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font = { |
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'G': [" ### ", "# #", "# ", "# ###", "# #", "# #", " ### "], |
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'A': [" ### ", "# #", "# #", "#####", "# #", "# #", "# #"], |
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'M': ["# #", "## ##", "# # #", "# #", "# #", "# #", "# #"], |
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'E': ["#####", "# ", "# ", "#### ", "# ", "# ", "#####"], |
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'O': [" ### ", "# #", "# #", "# #", "# #", "# #", " ### "], |
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'V': ["# #", "# #", "# #", "# #", "# #", " # # ", " # "], |
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'R': ["#### ", "# #", "# #", "#### ", "# # ", "# # ", "# #"], |
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'!': [" # ", " # ", " # ", " # ", " ", " # ", " # "], |
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' ': [" ", " ", " ", " ", " ", " ", " "] |
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} |
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text_str = "GAME OVER!" |
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scale = 2 |
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char_w = 5 * scale |
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char_h = 7 * scale |
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spacing = 1 * scale |
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start_x = (160 - len(text_str) * (char_w + spacing)) // 2 |
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start_y = 144 - char_h - 4 |
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# Keep track of which pixels are text |
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is_text_mask = np.zeros_like(palette_img, dtype=bool) |
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box_pad = 2 |
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for y in range(start_y - box_pad, start_y + char_h + box_pad): |
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for x in range(start_x - box_pad, start_x + len(text_str) * (char_w + spacing) + box_pad): |
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if 0 <= y < 144 and 0 <= x < 160: |
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palette_img[y, x] = 3 # Black background |
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is_text_mask[y, x] = True |
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for i, char in enumerate(text_str): |
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if char in font: |
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glyph = font[char] |
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for row in range(7): |
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for col in range(5): |
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if glyph[row][col] == '#': |
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for sy in range(scale): |
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for sx in range(scale): |
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py = start_y + row * scale + sy |
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px = start_x + i * (char_w + spacing) + col * scale + sx |
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if 0 <= py < 144 and 0 <= px < 160: |
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palette_img[py, px] = 0 # White text |
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is_text_mask[py, px] = True |
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tiles = [] |
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is_text_tile = [] |
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for y in range(0, 144, 8): |
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for x in range(0, 160, 8): |
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tile = palette_img[y:y+8, x:x+8] |
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t_tuple = tuple(map(tuple, tile)) |
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tiles.append(t_tuple) |
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is_text_tile.append(np.any(is_text_mask[y:y+8, x:x+8])) |
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unique_tiles = list(collections.OrderedDict.fromkeys(tiles)) |
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if len(unique_tiles) > 256: |
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print("WARNING: More than 256 unique tiles! Reducing...") |
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# Priority 1: Text tiles |
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text_unique = list(collections.OrderedDict.fromkeys([tiles[i] for i in range(len(tiles)) if is_text_tile[i]])) |
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# Priority 2: Most frequent tiles |
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counts = collections.Counter(tiles) |
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for t in text_unique: |
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del counts[t] # already added |
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most_common = [t for t, c in counts.most_common(256 - len(text_unique))] |
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reduced_unique = text_unique + most_common |
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for i in range(len(tiles)): |
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if tiles[i] not in reduced_unique: |
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t_arr = np.array(tiles[i]) |
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best_match = 0 |
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best_dist = float('inf') |
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for j, ru in enumerate(reduced_unique): |
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dist = np.sum((t_arr - np.array(ru))**2) |
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if dist < best_dist: |
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best_dist = dist |
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best_match = j |
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tiles[i] = reduced_unique[best_match] |
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unique_tiles = reduced_unique |
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print(f"Reduced to {len(unique_tiles)} unique tiles.") |
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# Reconstruct image to check visual quality |
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preview_img = np.zeros((144, 160), dtype=np.uint8) |
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for i, t in enumerate(tiles): |
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y = (i // 20) * 8 |
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x = (i % 20) * 8 |
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preview_img[y:y+8, x:x+8] = np.array(t) |
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# Save preview as image (colors 0=White, 1=LightGray, 2=DarkGray, 3=Black) |
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color_map = {0: 255, 1: 170, 2: 85, 3: 0} |
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preview_rgb = np.zeros((144, 160, 3), dtype=np.uint8) |
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for y in range(144): |
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for x in range(160): |
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c = color_map[preview_img[y, x]] |
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preview_rgb[y, x] = [c, c, c] |
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Image.fromarray(preview_rgb).save('/tmp/preview_gameover.png') |
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print("Saved preview to /tmp/preview_gameover.png") |
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tile_map = [unique_tiles.index(t) for t in tiles] |
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c_tiles = [] |
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for tile in unique_tiles: |
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tile_data = [] |
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for row in tile: |
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low_byte = 0 |
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high_byte = 0 |
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for x, color in enumerate(row): |
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if color & 1: |
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low_byte |= (1 << (7 - x)) |
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if color & 2: |
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high_byte |= (1 << (7 - x)) |
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tile_data.append(low_byte) |
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tile_data.append(high_byte) |
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c_tiles.append(tile_data) |
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with open('src/rat_bg.h', 'w') as f: |
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f.write("#ifndef RAT_BG_H\n#define RAT_BG_H\n\n#include <stdint.h>\n\n") |
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f.write(f"extern const uint8_t rat_bg_tiles[{len(c_tiles) * 16}];\n") |
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f.write(f"extern const uint8_t rat_bg_map[{len(tile_map)}];\n\n#endif\n") |
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with open('src/rat_bg.c', 'w') as f: |
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f.write("#include \"rat_bg.h\"\n\n") |
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f.write(f"const uint8_t rat_bg_tiles[{len(c_tiles) * 16}] = {{\n") |
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for tile in c_tiles: |
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f.write(" " + ", ".join([f"0x{b:02X}" for b in tile]) + ",\n") |
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f.write("};\n\n") |
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f.write(f"const uint8_t rat_bg_map[{len(tile_map)}] = {{\n") |
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for i in range(0, len(tile_map), 20): |
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f.write(" " + ", ".join([f"0x{b:02X}" for b in tile_map[i:i+20]]) + ",\n") |
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f.write("};\n") |
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print("Generated src/rat_bg.h and src/rat_bg.c")
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