Research

tools/vram_density_scan.py

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+IN_PATH = r"K:\ghidra\Crusader_Decomp\binary\Crusader - No Remorse Memdump Weapons.bin"
+W,H = 1024,512
+with open(IN_PATH,'rb') as f:
+    data = f.read()
+count = min(len(data)//2, W*H)
+mask = [0]*(W*H)
+for i in range(count):
+    off = i*2
+    val = data[off] | (data[off+1]<<8)
+    if val & 0x7fff:
+        mask[i]=1
+# row sums
+row_sums = [sum(mask[y*W:(y+1)*W]) for y in range(H)]
+col_sums = [sum(mask[x::W]) for x in range(W)]
+# find row bands where row_sum > threshold
+thr_row = max(10, int(max(row_sums)*0.05))
+runs = []
+inside = False
+for y, s in enumerate(row_sums):
+    if s>thr_row and not inside:
+        start = y; inside=True
+    if s<=thr_row and inside:
+        end = y-1; inside=False; runs.append((start,end))
+if inside: runs.append((start,H-1))
+print('row runs (threshold=%d):'%thr_row, runs)
+# print top runs with sums
+for (s,e) in runs:
+    tot = sum(row_sums[s:e+1])
+    print('run',s,e,'rows=',e-s+1,'sum=',tot)
+# find column runs similarly
+thr_col = max(5, int(max(col_sums)*0.05))
+cruns=[]; inside=False
+for x,s in enumerate(col_sums):
+    if s>thr_col and not inside:
+        sx=x; inside=True
+    if s<=thr_col and inside:
+        ex=x-1; inside=False; cruns.append((sx,ex))
+if inside: cruns.append((sx,W-1))
+print('col runs (threshold=%d):'%thr_col, cruns[:10])
+# Identify intersection boxes by combining top few row runs and col runs
+candidates=[]
+for (ry0,ry1) in runs:
+    for (cx0,cx1) in cruns:
+        # compute density
+        area = (ry1-ry0+1)*(cx1-cx0+1)
+        s = 0
+        for y in range(ry0,ry1+1):
+            s += sum(mask[y*W+cx0 : y*W+cx1+1])
+        if s > max(200, area*0.02):
+            candidates.append((cx0,ry0,cx1,ry1,s,area))
+candidates.sort(key=lambda x:-x[4])
+print('\nCandidates:')
+for i,(x0,y0,x1,y1,s,area) in enumerate(candidates[:12]):
+    so = (y0*W + x0)*2
+    eo = ((y1*W + x1)+1)*2 -1
+    print(f'[{i}] box=({x0},{y0})-({x1},{y1}) area_pixels={area} nonzero={s} bytes=0x{so:06x}-0x{eo:06x}')
+# print a few rows around top to locate HUD band
+print('\nTop rows with nonzero counts (y:count)')
+for y in range(0,160):
+    if row_sums[y]>0:
+        print(y, row_sums[y])