feat(scripts): 按聚类结果导出数据集
新增 scripts/export_clusters.py：读聚类产出的 assignments.csv，把原图复制成 data/<源目录名>_<骨架标签>_cluster_k<簇数>/，子目录用从 0 开始的数字编号。 - 复制真实文件（copy2 保留修改时间），不建软链、不改名 - 目录名自动推导：源目录名取各路径的公共父目录，骨架标签取自 summary.json 的 feature_source；--tag / --out 可覆盖 - manifest.json 记录来源 run、特征配置与每张图的原始路径，便于追溯 - 保护：源文件缺失、同簇内重名（保持原名会互相覆盖）直接报错； 目标目录非空需显式 --overwrite；--dry-run 只打印计划 - 聚类产出的 summary.json 新增 feature_source 字段（method / backbone / feature_stages），供上面的自动命名与日后追溯 Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
This commit is contained in:
Shaun Zhou
co-authored by
Claude Opus 5
Claude Opus 5
parent
7f13ec5d18
commit
f8a52c9382
@@ -122,10 +122,26 @@ def write_outputs(cfg, work_dir, metas, result, num_clusters, stability):
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width, height = meta["size"]
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writer.writerow([meta["path"], label, f"{distance:.6f}", meta["source_dir"], width, height])
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method = str(cfg.get("method", "pretrained"))
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backbone_cfg = (
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dict(cfg.get("simclr", {}).get("backbone", {}))
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if method == "simclr"
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else dict(cfg.get("backbone", {}))
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)
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summary = {
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"num_clusters": num_clusters,
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"num_images": len(metas),
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"method": cfg.get("method", "pretrained"),
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"method": method,
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# 记录特征来源，供 export_clusters.py 自动命名以及日后追溯
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"feature_source": {
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"method": method,
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"backbone": backbone_cfg,
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"feature_stages": (
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cfg.get("simclr", {}).get("feature_stages")
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if method == "simclr"
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else cfg.get("feature_stages")
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),
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},
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"image_size": cfg.get("image_size"),
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"cluster_sizes": result.sizes,
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"silhouette": result.silhouette,
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Executable
+218
@@ -0,0 +1,218 @@
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#!/usr/bin/env python
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"""按聚类结果把原图复制成一个新数据集。
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uv run python scripts/export_clusters.py --work-dir runs/simclr_r18
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产出（目录名默认自动推导，见下）：
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```
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data/film_r18_cluster_k4/
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├── 0/ ← 簇 0 的原图，文件名保持不变
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├── 1/
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├── 2/
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├── 3/
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└── manifest.json # 来源 run、每张图的原始路径，便于追溯
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```
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**复制真实文件**，不是软链、也不改名——所以这个目录可以直接拷走或喂给别的工具。
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目录名由三段拼成 `<源目录名>_<骨架标签>_cluster_k<簇数>`，取自聚类产出的
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summary.json：源目录名来自 assignments.csv 里各路径的公共父目录，骨架标签来自
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feature_source（resnet18 -> r18、tiny_conv -> tiny 等）。用 --tag / --out 可以覆盖。
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注意标签只反映骨架，不区分 pretrained 与 simclr——同一个骨架的两种跑法会推出同名目录。
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目录非空时脚本会拒绝写入（除非 --overwrite），需要并存时用 `--tag r18ss` 这类手动区分；
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不管叫什么名字，manifest.json 里都记着这批图具体来自哪次 run。
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"""
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from __future__ import annotations
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import argparse
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import csv
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import json
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import shutil
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import sys
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from collections import Counter, defaultdict
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from pathlib import Path
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sys.path.insert(0, str(Path(__file__).resolve().parents[1]))
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from utils import setup_logging # noqa: E402
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logger = None
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#: 骨架 -> 目录名里的短标签
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BACKBONE_TAGS = {
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"resnet18": "r18",
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"resnet34": "r34",
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"resnet50": "r50",
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"mobilenet_v3_small": "mbv3s",
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"mobilenet_v3_large": "mbv3l",
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"shufflenet_v2_x1_0": "sfv2",
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"tiny_conv": "tiny",
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}
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def backbone_tag(summary: dict) -> str:
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"""从 summary.json 的 feature_source 推出骨架标签。"""
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source = summary.get("feature_source") or {}
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backbone = source.get("backbone") or {}
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name = backbone.get("arch") or backbone.get("name") or "unknown"
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return BACKBONE_TAGS.get(name, str(name).replace("_", ""))
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def read_assignments(path: Path) -> list[tuple[Path, int]]:
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if not path.exists():
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raise FileNotFoundError(f"找不到 {path}，先跑一次 scripts/cluster_unlabeled.py")
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rows: list[tuple[Path, int]] = []
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with path.open(encoding="utf-8") as handle:
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for line_no, row in enumerate(csv.DictReader(handle), start=2):
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try:
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rows.append((Path(row["path"]), int(row["cluster"])))
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except (KeyError, ValueError) as exc:
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raise ValueError(f"{path}:{line_no} 解析失败：{row}") from exc
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if not rows:
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raise ValueError(f"{path} 里没有任何记录")
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return rows
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def common_root(paths: list[Path]) -> Path:
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"""所有图片的公共父目录，用来推源数据集名。"""
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parts = [p.resolve().parent.parts for p in paths]
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shortest = min(len(p) for p in parts)
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common = []
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for index in range(shortest):
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segment = {p[index] for p in parts}
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if len(segment) != 1:
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break
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common.append(segment.pop())
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return Path(*common) if common else Path(".")
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def check_conflicts(groups: dict[int, list[Path]]) -> None:
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"""同一个簇里出现同名文件时直接报错——要求保留原文件名，就不能悄悄覆盖。"""
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problems = []
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for cluster, files in sorted(groups.items()):
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names = Counter(f.name for f in files)
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for name, count in names.items():
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if count > 1:
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sources = [str(f) for f in files if f.name == name][:3]
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problems.append(f" 簇 {cluster} 里 {name!r} 出现 {count} 次: {', '.join(sources)} …")
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if problems:
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raise ValueError(
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"以下文件重名，保持原名会互相覆盖；请先重命名源文件或改用别的导出方式：\n"
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+ "\n".join(problems[:20])
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)
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def main() -> int:
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global logger
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parser = argparse.ArgumentParser(
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description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter
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)
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parser.add_argument("--work-dir", default=None, help="聚类产出目录（含 assignments.csv）")
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parser.add_argument("--assignments", default=None, help="直接指定 assignments.csv")
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parser.add_argument("--out", default=None, help="输出目录；缺省自动推导到 data/ 下")
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parser.add_argument("--data-root", default="data", help="自动推导时的输出根目录，默认 data")
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parser.add_argument("--tag", default=None, help="覆盖目录名里的骨架标签（如 r18）")
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parser.add_argument("--overwrite", action="store_true", help="输出目录已存在时先清空")
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parser.add_argument("--dry-run", action="store_true", help="只打印计划，不真的复制")
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parser.add_argument("--no-manifest", action="store_true", help="不写 manifest.json")
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args = parser.parse_args()
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logger = setup_logging()
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if not args.work_dir and not args.assignments:
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logger.error("必须给 --work-dir 或 --assignments 之一")
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return 1
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work_dir = Path(args.work_dir) if args.work_dir else None
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assignments_path = Path(args.assignments) if args.assignments else work_dir / "assignments.csv"
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try:
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rows = read_assignments(assignments_path)
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except (FileNotFoundError, ValueError) as exc:
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logger.error("%s", exc)
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return 1
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summary_path = (work_dir or assignments_path.parent) / "summary.json"
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summary = json.loads(summary_path.read_text(encoding="utf-8")) if summary_path.exists() else {}
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groups: dict[int, list[Path]] = defaultdict(list)
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for path, cluster in rows:
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groups[cluster].append(path)
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source_root = common_root([p for p, _ in rows])
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num_clusters = int(summary.get("num_clusters") or (max(groups) + 1))
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tag = args.tag or backbone_tag(summary)
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out_dir = (
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Path(args.out)
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if args.out
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else Path(args.data_root) / f"{source_root.name}_{tag}_cluster_k{num_clusters}"
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)
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logger.info("来源: %s（%d 张，%d 个簇）", assignments_path, len(rows), len(groups))
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logger.info("源数据集: %s | 骨架标签: %s", source_root, tag)
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logger.info("输出目录: %s", out_dir)
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missing = [p for p, _ in rows if not p.exists()]
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if missing:
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logger.error("有 %d 个源文件不存在，例如 %s", len(missing), missing[0])
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return 1
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try:
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check_conflicts(groups)
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except ValueError as exc:
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logger.error("%s", exc)
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return 1
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for cluster in sorted(groups):
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logger.info(" 簇 %d -> %s/%d/ 共 %d 张", cluster, out_dir.name, cluster, len(groups[cluster]))
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if args.dry_run:
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logger.info("--dry-run：未写入任何文件")
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return 0
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if out_dir.exists() and any(out_dir.iterdir()):
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if not args.overwrite:
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logger.error("%s 已存在且非空；确认要覆盖请加 --overwrite", out_dir)
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return 1
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shutil.rmtree(out_dir)
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out_dir.mkdir(parents=True, exist_ok=True)
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copied = 0
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total_bytes = 0
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manifest: dict[str, list[dict]] = {}
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for cluster in sorted(groups):
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target = out_dir / str(cluster)
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target.mkdir(parents=True, exist_ok=True)
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entries = []
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for source in sorted(groups[cluster]):
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destination = target / source.name # 保持原文件名
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shutil.copy2(source, destination) # copy2 连同修改时间一起复制
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total_bytes += destination.stat().st_size
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copied += 1
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entries.append({"file": source.name, "source": str(source)})
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manifest[str(cluster)] = entries
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logger.info("簇 %d 完成：%d 张", cluster, len(entries))
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if not args.no_manifest:
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(out_dir / "manifest.json").write_text(
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json.dumps(
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{
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"source_root": str(source_root),
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"assignments": str(assignments_path.resolve()),
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"num_clusters": num_clusters,
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"feature_source": summary.get("feature_source"),
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"cluster_sizes": {k: len(v) for k, v in sorted(manifest.items())},
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"files": manifest,
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},
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ensure_ascii=False,
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indent=2,
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),
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encoding="utf-8",
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)
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logger.info("完成：复制 %d 张，共 %.1f MB -> %s", copied, total_bytes / 1024**2, out_dir)
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return 0
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if __name__ == "__main__":
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raise SystemExit(main())
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