运行记录 · 实现代码

artifact_names = ["lab09.py", "notebook.json", "teaching.md", "results.json",
                  "geometry.svg", "precision_recall.svg", "nms_tradeoff.svg"]
artifact_hashes = {name: hashlib.sha256((OUT / name).read_bytes()).hexdigest()
                   for name in artifact_names if (OUT / name).exists()}
input_json = json.dumps({"gt": GT.tolist(), "pred": PRED.tolist(), "scores": SCORES.tolist(),
                         "nms_threshold": NMS_THRESHOLD, "eval_thresholds": EVAL_THRESHOLDS},
                        sort_keys=True, separators=(",", ":"))
manifest = {"notebook_id": "90d213b4e1e04c7e889ee6fc042b2358",
            "notebook_name": "LAB 09 · 检测几何：框、匹配、NMS 与 AP",
            "started_at_utc": STARTED_AT, "finished_at_utc": datetime.now(timezone.utc).isoformat(),
            "elapsed_seconds": time.perf_counter() - STARTED_CLOCK,
            "execution": "actual local Python execution", "status": "passed",
            "command": "python lab09.py", "python_version": platform.python_version(),
            "numpy_version": np.__version__, "input_sha256": hashlib.sha256(input_json.encode()).hexdigest(),
            "sha256": artifact_hashes, "key_results": {"AP50": baseline["AP50"]["ap"],
                "AP75": baseline["AP75"]["ap"], "nms_AP50": after_nms["AP50"]["ap"],
                "nms_AP75": after_nms["AP75"]["ap"], "neighbor_nms_AP50": neighbor_after["ap"],
                "protocol_duplicate_AP50": protocol_standard["ap"],
                "alternative_best_unused_AP50": alternative_ap}}
(OUT / "run.json").write_text(json.dumps(manifest, ensure_ascii=False, indent=2), encoding="utf-8")
print("Assertions: passed. Saved results.json, 3 SVG figures and run.json.")