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89
tools/hud_row_scan.py
Normal file
89
tools/hud_row_scan.py
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IN_BIN = r"K:\ghidra\Crusader_Decomp\binary\Crusader - No Remorse Memdump Weapons.bin"
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W,H = 1024,512
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TOP, BOT = 44, 92 # y range (inclusive start, exclusive end)
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import os
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with open(IN_BIN,'rb') as f:
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data = f.read()
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count = min(len(data)//2, W*H)
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# build mask for this row range
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col_counts = [0]*W
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for y in range(TOP, BOT):
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for x in range(W):
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i = y*W + x
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if i < count:
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off = i*2
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val = data[off] | (data[off+1]<<8)
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if val & 0x7fff:
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col_counts[x] += 1
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# find runs where col_counts exceeds threshold
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maxc = max(col_counts)
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thr = max(3, int(maxc*0.2))
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runs = []
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inside=False
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for x,c in enumerate(col_counts):
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if c>thr and not inside:
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sx = x; inside=True
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if c<=thr and inside:
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ex = x-1; inside=False; runs.append((sx,ex))
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if inside: runs.append((sx,W-1))
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print('max per-col count', maxc, 'threshold', thr)
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print('runs:', runs)
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# compute byte offsets and produce crops (no PIL)
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import struct, zlib
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OUT_DIR = r"K:\ghidra\Crusader_Decomp\binary\hud_candidates"
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os.makedirs(OUT_DIR, exist_ok=True)
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with open(IN_BIN,'rb') as f:
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bin_data = f.read()
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# build full rows RGB
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rows = []
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for y in range(H):
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row = bytearray()
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for x in range(W):
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i = y*W + x
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if i < count:
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off = i*2
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val = bin_data[off] | (bin_data[off+1]<<8)
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b = (val & 0x1F) << 3
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g = ((val >>5)&0x1F) << 3
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r = ((val >>10)&0x1F) << 3
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else:
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r=g=b=0
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row.extend([r,g,b])
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rows.append(bytes(row))
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# for each run, create a crop with padding
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for i,(sx,ex) in enumerate(runs):
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pad = 8
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x0 = max(0, sx-pad)
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x1 = min(W-1, ex+pad)
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y0 = TOP; y1 = BOT-1
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w = x1 - x0 + 1
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h = y1 - y0 + 1
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rawrows = []
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for y in range(y0, y1+1):
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rawrows.append(b"\x00" + rows[y][x0*3:(x0+w)*3])
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raw = b"".join(rawrows)
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comp = zlib.compress(raw,9)
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def chunk(t,d):
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out = struct.pack('>I', len(d)) + t + d
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import zlib
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crc = zlib.crc32(t + d) & 0xffffffff
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out += struct.pack('>I', crc)
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return out
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png = b"\x89PNG\r\n\x1a\n"
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png += chunk(b'IHDR', struct.pack('>IIBBBBB', w, h, 8, 2, 0, 0, 0))
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png += chunk(b'IDAT', comp)
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png += chunk(b'IEND', b'')
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out = os.path.join(OUT_DIR, f'cand_{i}_{x0}_{y0}.png')
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with open(out,'wb') as f:
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f.write(png)
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start_idx = y0*W + x0
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end_idx = y1*W + x1
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so = start_idx*2
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eo = (end_idx+1)*2 -1
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print(f'wrote {out} box=({x0},{y0})-({x1},{y1}) bytes=0x{so:06x}-0x{eo:06x} col_counts_max={max(col_counts[x0:x1+1])}')
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# also print top columns with counts
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top_cols = sorted(((c,x) for x,c in enumerate(col_counts)), reverse=True)[:30]
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print('\nTop columns (count,x):')
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for c,x in top_cols:
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print(c,x)
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