thejayman77
ba74bbd5aa
Per-vertex GS fog end-to-end (gs_stub emit incl. persp_emit5, gs_prim_list_feeder XYZ2->XYZF2 on PRIM.FGE, gs_make_sh3_scheduler_fixture.py F/FGE packing), new fog TBs, fidelity attribution tooling. Functional baseline before removing the dead bilinear lerp8 clamps (Codex: 161-node comb loop -> -0.042ns setup fail). Co-Authored-By: Claude Opus 4.8 (1M context) <noreply@anthropic.com>
49 lines
1.6 KiB
Python
49 lines
1.6 KiB
Python
#!/usr/bin/env python3
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"""Preview and score the Ch418 captured SH3 scanout presentation map.
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RTL maps source_x=floor(output_x*4/5) and
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source_y=32+floor(output_y*14/15). This host utility applies the same
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integer mapping to a 640x480 framebuffer PNG, saves the expected HDMI
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presentation, and reports RGB MAE/RMSE against a 640x480 reference.
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"""
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import math
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import sys
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from PIL import Image
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def score(a, b):
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ae = 0
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se = 0
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n = a.width * a.height * 3
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for pa, pb in zip(a.getdata(), b.getdata()):
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for ca, cb in zip(pa, pb):
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d = int(ca) - int(cb)
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ae += abs(d)
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se += d * d
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return ae / n, math.sqrt(se / n)
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def main(argv):
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if len(argv) != 4:
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raise SystemExit("usage: preview_scanout_ch418.py <fb.png> <reference.png> <out.png>")
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src = Image.open(argv[1]).convert("RGB")
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if src.size != (640, 480):
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raise SystemExit(f"expected 640x480 framebuffer, got {src.size}")
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ref = Image.open(argv[2]).convert("RGB").resize((640, 480), Image.Resampling.BILINEAR)
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mapped = Image.new("RGB", (640, 480))
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mapped.putdata([
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src.getpixel(((x * 4) // 5, 32 + (y * 14) // 15))
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for y in range(480) for x in range(640)
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])
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mapped.save(argv[3])
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raw_mae, raw_rmse = score(src, ref)
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map_mae, map_rmse = score(mapped, ref)
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print(f"raw MAE={raw_mae:.4f} RMSE={raw_rmse:.4f}")
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print(f"mapped MAE={map_mae:.4f} RMSE={map_rmse:.4f}")
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print(f"delta MAE={map_mae-raw_mae:+.4f} RMSE={map_rmse-raw_rmse:+.4f}")
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print(f"wrote {argv[3]}")
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if __name__ == "__main__":
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main(sys.argv)
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