import sys from PIL import Image import numpy as np import collections img_path = '/home/enne2/.gemini/antigravity/brain/69a2b2a9-088f-47ee-9f3c-9ba7ac332992/rat_bomb_escape_1781732127266.png' try: img = Image.open(img_path).convert('L') except Exception as e: print(f"Error opening image: {e}") sys.exit(1) w, h = img.size target_ratio = 160 / 144 img_ratio = w / h if img_ratio > target_ratio: new_w = int(h * target_ratio) left = (w - new_w) // 2 img = img.crop((left, 0, left + new_w, h)) else: new_h = int(w / target_ratio) top = (h - new_h) // 2 img = img.crop((0, top, w, top + new_h)) img = img.resize((160, 144), Image.Resampling.LANCZOS) np_img = np.array(img) palette_img = np.zeros_like(np_img) palette_img[np_img < 64] = 3 palette_img[(np_img >= 64) & (np_img < 128)] = 2 palette_img[(np_img >= 128) & (np_img < 192)] = 1 palette_img[np_img >= 192] = 0 font = { 'A': [" ### ", "# #", "# #", "#####", "# #", "# #", "# #"], 'B': ["#### ", "# #", "# #", "#### ", "# #", "# #", "#### "], 'C': [" ### ", "# #", "# ", "# ", "# ", "# #", " ### "], 'D': ["#### ", "# #", "# #", "# #", "# #", "# #", "#### "], 'E': ["#####", "# ", "# ", "#### ", "# ", "# ", "#####"], 'F': ["#####", "# ", "# ", "#### ", "# ", "# ", "# "], 'G': [" ### ", "# #", "# ", "# ###", "# #", "# #", " ### "], 'H': ["# #", "# #", "# #", "#####", "# #", "# #", "# #"], 'I': [" ### ", " # ", " # ", " # ", " # ", " # ", " ### "], 'M': ["# #", "## ##", "# # #", "# #", "# #", "# #", "# #"], 'Z': ["#####", " #", " # ", " # ", " # ", "# ", "#####"], 'P': ["#### ", "# #", "# #", "#### ", "# ", "# ", "# "], 'R': ["#### ", "# #", "# #", "#### ", "# # ", "# # ", "# #"], 'O': [" ### ", "# #", "# #", "# #", "# #", "# #", " ### "], 'W': ["# #", "# #", "# #", "# # #", "## ##", "# #", "# #"], 'S': [" ### ", "# #", "# ", " ### ", " #", "# #", " ### "], 'Y': ["# #", "# #", " # # ", " # ", " # ", " # ", " # "], 'T': ["#####", " # ", " # ", " # ", " # ", " # ", " # "], 'U': ["# #", "# #", "# #", "# #", "# #", "# #", " ### "], 'N': ["# #", "## #", "# # #", "# ##", "# #", "# #", "# #"], 'V': ["# #", "# #", "# #", "# #", "# #", " # # ", " # "], 'L': ["# ", "# ", "# ", "# ", "# ", "# ", "#####"], '!': [" # ", " # ", " # ", " # ", " ", " # ", " # "], ' ': [" ", " ", " ", " ", " ", " ", " "] } is_text_mask = np.zeros_like(palette_img, dtype=bool) def draw_text(text, start_y_tiles, scale=1): tile_w = 8 * scale tile_h = 8 * scale start_x_tiles = (20 - len(text) * scale) // 2 start_y = start_y_tiles * 8 start_x = start_x_tiles * 8 # Draw black box perfectly aligned to tile grid for y in range(start_y, start_y + tile_h): for x in range(start_x, start_x + len(text) * tile_w): if 0 <= y < 144 and 0 <= x < 160: palette_img[y, x] = 3 is_text_mask[y, x] = True for i, char in enumerate(text): if char in font: glyph = font[char] # Center the 5x7 glyph inside the 8x8 logic offset_x = (8 - 5) // 2 offset_y = (8 - 7) // 2 for row in range(7): for col in range(5): if glyph[row][col] == '#': for sy in range(scale): for sx in range(scale): py = start_y + (row + offset_y) * scale + sy px = start_x + i * tile_w + (col + offset_x) * scale + sx if 0 <= py < 144 and 0 <= px < 160: palette_img[py, px] = 0 is_text_mask[py, px] = True # Align to 8x8 grid strictly draw_text("MICE!", 1, scale=2) draw_text("A GAME BY MATTEO", 5, scale=1) draw_text("BECAUSE HE WAS BORED", 6, scale=1) draw_text("PRESS START", 16, scale=1) tiles = [] is_text_tile = [] for y in range(0, 144, 8): for x in range(0, 160, 8): tile = palette_img[y:y+8, x:x+8] t_tuple = tuple(map(tuple, tile)) tiles.append(t_tuple) is_text_tile.append(np.any(is_text_mask[y:y+8, x:x+8])) unique_tiles = list(collections.OrderedDict.fromkeys(tiles)) print(f"Total tiles: {len(tiles)}") print(f"Unique tiles before reduction: {len(unique_tiles)}") if len(unique_tiles) > 256: print("WARNING: More than 256 unique tiles! Reducing...") text_unique = list(collections.OrderedDict.fromkeys([tiles[i] for i in range(len(tiles)) if is_text_tile[i]])) print(f"Text unique tiles: {len(text_unique)}") counts = collections.Counter(tiles) for t in text_unique: del counts[t] most_common = [t for t, c in counts.most_common(256 - len(text_unique))] reduced_unique = text_unique + most_common for i in range(len(tiles)): if tiles[i] not in reduced_unique: t_arr = np.array(tiles[i]) best_match = 0 best_dist = float('inf') for j, ru in enumerate(reduced_unique): dist = np.sum((t_arr - np.array(ru))**2) if dist < best_dist: best_dist = dist best_match = j tiles[i] = reduced_unique[best_match] unique_tiles = reduced_unique print(f"Reduced to {len(unique_tiles)} unique tiles.") tile_map = [unique_tiles.index(t) for t in tiles] # Preview to ensure it's not broken preview_img = np.zeros((144, 160), dtype=np.uint8) for i, t in enumerate(tiles): y = (i // 20) * 8 x = (i % 20) * 8 preview_img[y:y+8, x:x+8] = np.array(t) color_map = {0: 255, 1: 170, 2: 85, 3: 0} preview_rgb = np.zeros((144, 160, 3), dtype=np.uint8) for y in range(144): for x in range(160): c = color_map[preview_img[y, x]] preview_rgb[y, x] = [c, c, c] Image.fromarray(preview_rgb).save('/tmp/preview_title_fixed.png') c_tiles = [] for tile in unique_tiles: tile_data = [] for row in tile: low_byte = 0 high_byte = 0 for x, color in enumerate(row): if color & 1: low_byte |= (1 << (7 - x)) if color & 2: high_byte |= (1 << (7 - x)) tile_data.append(low_byte) tile_data.append(high_byte) c_tiles.append(tile_data) with open('src/title_bg.h', 'w') as f: f.write("#ifndef TITLE_BG_H\n#define TITLE_BG_H\n\n#include \n\n") f.write(f"extern const uint8_t title_bg_tiles[{len(c_tiles) * 16}];\n") f.write(f"extern const uint8_t title_bg_map[{len(tile_map)}];\n\n#endif\n") with open('src/title_bg.c', 'w') as f: f.write("#include \"title_bg.h\"\n\n") f.write(f"const uint8_t title_bg_tiles[{len(c_tiles) * 16}] = {{\n") for tile in c_tiles: f.write(" " + ", ".join([f"0x{b:02X}" for b in tile]) + ",\n") f.write("};\n\n") f.write(f"const uint8_t title_bg_map[{len(tile_map)}] = {{\n") for i in range(0, len(tile_map), 20): f.write(" " + ", ".join([f"0x{b:02X}" for b in tile_map[i:i+20]]) + ",\n") f.write("};\n")