#!/usr/bin/env python3 """Report the saved V12 results: EVAL-V4 primary gates, DEV secondary (no model or media).""" # ruff: noqa: E501 -- Chinese scientific report prose import argparse import json from pathlib import Path V11 = Path("outputs/EXP-3D-RGBD-COMPLETION-V11") NEXT = { "A": "宽度从 32 加到 64 继续改善了未观测区域的补全，最宽的 carrier 在可部署组合中也超过了经典几何补洞：补全随容量增长的趋势在 CPU 可及的范围内仍未饱和，这支持在 GPU 上继续扩大容量。", "B": "两个条件只成立一个。需要分开解读：是补全本身随宽度改善但还不足以胜过经典补洞，还是组合优势并非来自更宽的 carrier。", "C": "宽度 64 没有稳定改善补全，也没有让组合胜过经典几何补洞：在 TRAIN72 的数据量下，宽度 32 之后的容量收益已经看不到。", } def read(root, name, default=None): path = Path(root) / (name + ".json") if not path.exists() and default is not None: return default return json.loads(path.read_text()) def stat(value): if value is None or value.get("mean") is None: return "UNDEFINED" lo, hi = value["ci95"] return f"{value['mean']:+.4f}，95% CI [{lo:+.4f}, {hi:+.4f}]" def c0_reproduces_v11(root, contract): """Largest |DEV query AbsRel| difference between V12 C0 and V11 C1, per step.""" diffs = [] for seed in contract["seeds"]: mine = read(root / "checkpoints" / f"C0_{seed}", "dev_curve", []) base = read(V11 / "checkpoints" / f"C1_{seed}", "dev_curve", []) if not mine or len(mine) != len(base): return None diffs += [ abs(a["query_absrel"] - b["query_absrel"]) for a, b in zip(mine, base, strict=True) ] return max(diffs) if diffs else None def run(root, docs=None): root, docs = Path(root), Path(docs) if docs else Path(root) contract = read(root, "training_contract") eval_v4 = read(root, "eval_v4_results") static = read(root, "static_results") qualification = read(root, "qualification_results") tests, integrity = (read(root, n, {"status": "PENDING"}) for n in ("tests", "integrity")) absolute = eval_v4["absolute_absrel"] statuses = eval_v4["statuses"] branch = eval_v4["INTERPRETATION_BRANCH"] groups = static["groups"] reproduction = c0_reproduces_v11(root, contract) methods = ("REPROJ_NN", "REPROJ_HARMONIC", "V11C1", "C0", "C1", "HFILL8_V11C1", "HFILL8_C1") fields = { "EVAL_V4_SCENES": eval_v4["n_scenes"], "FAR_PIXEL_FRACTION": round(eval_v4["far_pixel_fraction"], 4), **{ f"EVAL_V4_{method}_{region}": round(absolute[method][region]["mean"], 6) for method in methods for region in ("ALL", "NEAR", "FAR") if method in absolute and (absolute[method][region] or {}).get("mean") is not None }, **{ f"{name}{suffix}": ( (round(gain["mean"], 6) if suffix == "" else gain["ci95"]) if gain else "UNDEFINED" ) for name, gain in ( ("WIDTH64_COMPLETION_GAIN", eval_v4["WIDTH64_COMPLETION_GAIN"]), ("HARMONIC_HYBRID_GAIN", eval_v4["HARMONIC_HYBRID_GAIN"]), ("HFILL8_WIDTH_GAIN", eval_v4["HFILL8_WIDTH_GAIN"]), ) for suffix in ("", "_CI") }, **statuses, "V12_C0_MINUS_V11_C1_EVAL_V4_MAX_ABS": eval_v4["consistency"][ "v12_c0_minus_v11_c1_max_abs" ], "CONTROL_MINUS_REPLICATION_MAX_ABS": eval_v4["consistency"][ "control_minus_replication_max_abs" ], "DEV_C0_QUERY_ABSREL": round( groups["C0|direct"]["query_metrics"]["depth_absrel"]["mean"], 6 ), "DEV_C1_QUERY_ABSREL": round( groups["C1|direct"]["query_metrics"]["depth_absrel"]["mean"], 6 ), "WIDTH_GAIN_DEV": round(static["surface_gain"]["mean"], 6), "WIDTH_GAIN_DEV_CI": static["surface_gain"]["ci95"], "WIDTH_DEV_STATUS": qualification["SURFACE_TRAINING_STATUS"], "STATIC_DEV_STATUS": qualification["STATIC_DEV_STATUS"], "C0_REPRODUCES_V11_C1_MAX_DEV_DIFF": reproduction, "INTERPRETATION_BRANCH": branch, "FRESH_QUALIFICATION_INCLUDED": False, "FINAL_HOLDOUT_TOUCHED": False, "DYNAMIC_TTT_NEXT_STAGE_ALLOWED": False, "TEST_TIME_INPUT": "RGB+DEPTH+CAMERA", "TESTS": tests["status"], "FINAL_INTEGRITY": integrity["status"], "REPORT_DIR": str(docs), } lines = [ "# EXP-3D-RGBD-WIDTH-V12", "", f"单因素机制检验：在 V11 C1 的配方上把 carrier 宽度从 32 加到 64（250,542 个参数）。按 V11 出结果前写定的计划，只有 V11 的 COMPLETION_GAIN 点估计 > 0 时才运行；主对比的对照是 V11 C1 已选中的 checkpoint（不重新训练）。C0 按同一配方重新训练宽度 32，只用来检查逐位复现。主评价在从未读取过的 EVAL-V4（{eval_v4['n_scenes']} 个场景）上进行；所有预测在读取 query 深度之前封存。全程 CPU。", "", f"FAR 为离上下文深度重投影命中点超过 8 像素的像素（占 {eval_v4['far_pixel_fraction']:.1%}）；HFILL8 在其余像素用调和插值补洞（INPAINT-V1 的主基线），在 FAR 用 carrier。", "", "| EVAL-V4 AbsRel | ALL | NEAR | FAR |", "|---|---:|---:|---:|", ] for method in methods: if method in absolute: cells = [(absolute[method][r] or {}).get("mean") for r in ("ALL", "NEAR", "FAR")] lines.append( f"| {method} | " + " | ".join("—" if c is None else f"{c:.4f}" for c in cells) + " |" ) lines += [ "", "## 判定", "", f"- WIDTH64_COMPLETION_GAIN = FAR AbsRel(V11 C1) − FAR AbsRel(V12 C1) = {stat(eval_v4['WIDTH64_COMPLETION_GAIN'])}；{statuses['WIDTH64_COMPLETION_STATUS']}", f"- HARMONIC_HYBRID_GAIN = AbsRel(REPROJ_HARMONIC) − AbsRel(HFILL8 V12 C1) = {stat(eval_v4['HARMONIC_HYBRID_GAIN'])}；{statuses['HARMONIC_HYBRID_LABEL']}", f"- HFILL8_WIDTH_GAIN = AbsRel(HFILL8 V11 C1) − AbsRel(HFILL8 V12 C1) = {stat(eval_v4['HFILL8_WIDTH_GAIN'])}；{statuses['HFILL8_WIDTH_STATUS']}", f"- DEV（次要）：C0 {fields['DEV_C0_QUERY_ABSREL']:.4f}，C1 {fields['DEV_C1_QUERY_ABSREL']:.4f}，WIDTH_GAIN_DEV={stat(static['surface_gain'])}，{fields['WIDTH_DEV_STATUS']}", f"- 完整性：V12 C0 与 V11 C1 的 DEV 曲线最大差 = {reproduction}；EVAL-V4 预测最大差 = {fields['V12_C0_MINUS_V11_C1_EVAL_V4_MAX_ABS']}；对照与复现实验封存预测的最大差 = {fields['CONTROL_MINUS_REPLICATION_MAX_ABS']}", "", f"分支{branch}：{NEXT[branch]}", "", "说明：DEV 的 8 个场景在 V2–V11 中反复使用，本轮只用它选择 checkpoint 并给出描述性结果；EVAL-V4 是机制队列，不是资格验证；FRESH-V1/V2 与 EVAL-V3 未使用；受保护的 final holdout 未打开。", ] summary = ( "RGBD WIDTH V12 FINAL\n" + "\n".join( f"{k}={str(v).lower() if isinstance(v, bool) else v}" for k, v in fields.items() ) + "\n" ) (root / "README.md").write_text("\n".join(lines) + "\n") (root / "STATUS.md").write_text("```text\n" + summary + "```\n") (root / "terminal_summary.txt").write_text(summary) print(summary) return fields if __name__ == "__main__": parser = argparse.ArgumentParser(description=__doc__) parser.add_argument("--root", type=Path, required=True) parser.add_argument("--docs", type=Path) args = parser.parse_args() run(args.root, args.docs)