79 lines
2.1 KiB
Python
79 lines
2.1 KiB
Python
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"""撕段时间线合并（与离线 demo 一致）。"""
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from __future__ import annotations
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from collections import Counter
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def merge_tear_segments(
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rows: list[tuple[int, float, bool, str]],
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min_tear_sec: float = 3.0,
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min_gap_sec: float = 1.5,
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) -> list[dict]:
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"""
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rows: (frame_idx_in_clip, abs_time_sec, is_tear, consumable_label_or_empty)
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"""
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raw_segs: list[dict] = []
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cur: dict | None = None
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for frame_idx, t, is_tear, label in rows:
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if is_tear:
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if cur is None:
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cur = {
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"t0": t,
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"t1": t,
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"f0": frame_idx,
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"f1": frame_idx,
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"labels": [],
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}
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else:
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gap = t - cur["t1"]
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if gap > min_gap_sec:
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raw_segs.append(cur)
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cur = {
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"t0": t,
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"t1": t,
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"f0": frame_idx,
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"f1": frame_idx,
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"labels": [],
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}
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cur["t1"] = t
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cur["f1"] = frame_idx
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if label:
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cur["labels"].append(label)
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else:
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if cur is not None:
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gap = t - cur["t1"]
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if gap > min_gap_sec:
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raw_segs.append(cur)
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cur = None
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if cur is not None:
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raw_segs.append(cur)
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valid: list[dict] = []
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for s in raw_segs:
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dur = s["t1"] - s["t0"]
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if dur >= min_tear_sec - 1e-9:
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valid.append(s)
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out: list[dict] = []
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for i, s in enumerate(valid, 1):
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top_label = (
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Counter(s["labels"]).most_common(1)[0][0]
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if s["labels"]
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else "（未识别耗材）"
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)
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out.append(
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{
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"index": i,
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"start_sec": s["t0"],
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"end_sec": s["t1"],
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"duration_sec": s["t1"] - s["t0"],
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"consumable": top_label,
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"start_frame": s["f0"],
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"end_frame": s["f1"],
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}
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)
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return out
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