feat: procedural bushy vegetation autotiles
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enne2
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import random
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import numpy as np
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from PIL import Image
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# 0: Floor
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# 1: Highlight
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# 2: Midtone
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# 3: Shadow
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random.seed(1234) # deterministic
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# Base seamless vegetation pattern (8x8)
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base_veg = [
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[2, 1, 2, 2, 3, 2, 2, 1],
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[1, 2, 2, 1, 2, 2, 3, 2],
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[2, 2, 3, 2, 2, 1, 2, 2],
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[3, 2, 2, 1, 2, 2, 2, 3],
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[2, 1, 2, 2, 3, 2, 2, 2],
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[2, 2, 2, 3, 2, 1, 2, 2],
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[2, 3, 2, 2, 2, 2, 1, 2],
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[1, 2, 2, 1, 2, 3, 2, 2]
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]
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base_veg = np.array(base_veg, dtype=np.uint8)
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# To avoid repeating exactly the same pattern, we can roll it slightly per mask
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# Or we just use it.
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walls = []
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def make_bush(n, e, s, w, mask_idx):
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# Start with base vegetation
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t = np.roll(np.roll(base_veg, mask_idx % 8, axis=0), (mask_idx // 2) % 8, axis=1).copy()
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# Carve N
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if not n:
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# Jagged top edge:
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# col 0..7 randomly floor or highlight
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for c in range(8):
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depth = random.choice([0, 1])
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for r in range(depth):
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t[r, c] = 0
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t[depth, c] = 1 # highlight on the leaf tip
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t[depth+1, c] = 1 # more highlight
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# Carve S
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if not s:
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for c in range(8):
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depth = random.choice([0, 1])
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for r in range(8 - depth, 8):
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t[r, c] = 0
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t[7 - depth, c] = 3 # shadow on the bottom leaf
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t[6 - depth, c] = 3
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# Carve W
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if not w:
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for r in range(8):
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depth = random.choice([0, 1])
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for c in range(depth):
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t[r, c] = 0
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# Ensure the edge isn't floor, make it a midtone/shadow
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if t[r, depth] == 0: t[r, depth] = 2
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# Carve E
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if not e:
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for r in range(8):
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depth = random.choice([0, 1])
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for c in range(8 - depth, 8):
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t[r, c] = 0
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if t[r, 7 - depth] == 0: t[r, 7 - depth] = 2
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# Fix Corners if isolated
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if not n and not w:
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t[0, 0] = t[0, 1] = t[1, 0] = 0
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t[1, 1] = 1
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if not n and not e:
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t[0, 7] = t[0, 6] = t[1, 7] = 0
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t[1, 6] = 1
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if not s and not w:
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t[7, 0] = t[7, 1] = t[6, 0] = 0
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t[6, 1] = 3
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if not s and not e:
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t[7, 7] = t[7, 6] = t[6, 7] = 0
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t[6, 6] = 3
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return t
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for mask in range(16):
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n = (mask & 8) != 0
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e = (mask & 4) != 0
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s = (mask & 2) != 0
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w = (mask & 1) != 0
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walls.append(make_bush(n, e, s, w, mask))
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floors = [
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# 0: Clean floor
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np.array([
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,0]
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], dtype=np.uint8),
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# 1: Tiny pebble/crack
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np.array([
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[0,0,0,0,0,0,0,0],
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[0,0,1,0,0,0,0,0],
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,1],
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,0]
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], dtype=np.uint8),
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# 2: Subtle horizontal vein
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np.array([
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,0],
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[0,1,1,0,0,0,0,0],
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[0,0,0,1,0,0,0,0],
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,0]
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], dtype=np.uint8),
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# 3: Diagonal crack
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np.array([
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,1,0],
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[0,0,0,0,0,1,0,0],
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[0,0,0,0,1,0,0,0],
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,0]
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], dtype=np.uint8),
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# 4: Forked crack
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np.array([
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,0],
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[0,0,1,0,0,0,0,0],
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[0,0,0,1,1,0,0,0],
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[0,0,0,0,0,1,0,0],
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[0,0,0,0,0,0,0,0]
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], dtype=np.uint8),
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# 5: Dots / dust
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np.array([
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,0],
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[0,0,0,1,0,0,0,0],
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,1,0,0,0],
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[0,0,0,0,0,0,0,0],
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[0,0,0,0,0,0,0,0]
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], dtype=np.uint8)
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]
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def to_gb_format(tile_np):
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bytes_arr = []
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for r in range(8):
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lo = hi = 0
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for c in range(8):
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val = int(tile_np[r, c])
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if val & 1: lo |= (1 << (7 - c))
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if val & 2: hi |= (1 << (7 - c))
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bytes_arr.append(lo)
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bytes_arr.append(hi)
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return bytes_arr
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with open('src/tiles.c', 'w') as f:
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f.write('#include "tiles.h"\n\n')
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f.write(f'const unsigned char TileData[{(6+16)*16}] = {{\n')
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for i, fl in enumerate(floors):
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f.write(f' // Floor variant {i}\n')
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b = to_gb_format(fl)
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f.write(' ' + ', '.join(f"0x{val:02X}" for val in b) + ',\n')
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for i, w in enumerate(walls):
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f.write(f' // Wall {i}\n')
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b = to_gb_format(w)
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f.write(' ' + ', '.join(f"0x{val:02X}" for val in b) + ',\n')
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f.write('};\n')
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colors = {
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0: (224, 248, 208),
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1: (136, 192, 112),
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2: (52, 104, 86),
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3: (8, 24, 32)
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}
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cols = 6
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rows = 4
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img = Image.new('RGB', (cols * 10, rows * 10), (255, 255, 255))
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tiles = floors + walls
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for idx, t in enumerate(tiles):
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c = idx % cols
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r = idx // cols
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x_offset = c * 10 + 1
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y_offset = r * 10 + 1
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for ty in range(8):
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for tx in range(8):
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color = colors[int(t[ty, tx])]
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img.putpixel((x_offset + tx, y_offset + ty), color)
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img = img.resize((cols * 10 * 4, rows * 10 * 4), Image.Resampling.NEAREST)
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img.save('/home/enne2/.gemini/antigravity/brain/69a2b2a9-088f-47ee-9f3c-9ba7ac332992/bush_tiles_preview.png')
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print("tiles.c generated with bush tiles!")
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