feat(export): 改为按 clusters/ 目录导出,并重定位失效的软链
原来按 assignments.csv 导出,反映的是聚类当时的划分;而 clusters/ 目录会被人工 整理——挪动分错的图、把 cluster_03 改名成 grease。现在以整理后的目录为准。 - 扫描 clusters/ 下的子目录,目录名即类别名并原样保留(不再是数字编号) - 文件名用原图的名字,去掉 clusters/ 里的 NNNN_ 排序前缀 - 失效软链的重定位:读出链接目标,按其中的 data/ 段落到本机 --source-root 上; 再不行用文件名在源目录里兜底索引(惰性构建,用不到就不扫盘)。 从服务器拷回来的 clusters/ 软链全部指向 /home/deep/... 在本机失效,这是常态 - 解析不到的条目列出并中止,--skip-missing 可忽略 - manifest 记录类别、每张图的原始路径与被跳过的条目 在真实目录上验证:11,212 张、15 个类别,软链 100% 失效但全部重定位成功, 导出后抽查 200 张与原图逐字节一致。跨数据集的数字文件名(blue/113.bmp 与 pearlescent/113.bmp)会被重名检查拦下,--prefix-parent 可化解。 Co-Authored-By: Claude Opus 5 <noreply@anthropic.com>
This commit is contained in:
co-authored by
Claude Opus 5
parent
9b31473b27
commit
f8654f447b
@@ -262,38 +262,34 @@ scatter:
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### 按聚类结果导出数据集
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人工核对完分组后,把结果落成一个可以直接使用的数据集目录:
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聚类产出的 `clusters/` 里是**软链**,方便人工翻看和调整——可以把图在子目录间挪动、
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删掉分错的、把 `cluster_03` 改名成 `grease`。整理完之后,以这个目录为准把**真实文件**
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复制出来,得到一个可以直接使用的数据集:
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```bash
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uv run python scripts/export_clusters.py --work-dir runs/simclr_r18 # 先看计划加 --dry-run
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uv run python scripts/export_clusters.py --work-dir runs/simclr_r101 --prefix-parent
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# 先看计划加 --dry-run
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```
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```
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data/film_r18_cluster_k4/ # <源目录名>_<骨架标签>_cluster_k<簇数>,自动推导
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├── 0/ # 簇 0 的图,文件名保持原样
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├── 1/
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├── 2/
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├── 3/
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└── manifest.json # 来源 run、特征配置、每张图的原始路径
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data/simclr_r101/ # 默认取 work_dir 的名字,--out 可完全指定
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├── grease/ # 子目录名沿用 clusters/ 里的(人工整理过的类别名)
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├── mosquito/
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├── normal/
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└── manifest.json # 每张图的原始路径与所属类别,便于追溯
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```
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**复制真实文件**,不是软链,所以这个目录可以直接拷走或喂给别的工具。
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导出的是**真实文件**(不是软链),文件名用原图的名字、去掉 `clusters/` 里的 `0125_`
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排序前缀。加 `--prefix-parent` 会再拼上原父目录名(`反面纵黑点/abc.png` ->
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`反面纵黑点_abc.png`),既保住来源信息,也化解不同目录同名文件撞车。
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默认保持原文件名。加 `--prefix-parent` 会把原父目录名拼到文件名前:
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> **从服务器拷回来的 `clusters/` 软链全都是坏的**(指向 `/home/deep/...`),不影响使用:
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> 脚本读出链接目标,按其中的 `data/` 段重新落到本机 `--source-root`(默认当前目录)上;
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> 万一还找不到,再用文件名在源目录里兜底索引一次。解析不到的条目会列出来并中止,
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> 确认要忽略就加 `--skip-missing`。
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```bash
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uv run python scripts/export_clusters.py --work-dir runs/simclr_r18 --prefix-parent
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# back-mosquito-G0/5.14_677mmX316.10m_....png -> back-mosquito-G0_5.14_677mmX316.10m_....png
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```
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导出后目录只剩簇号,原来的来源信息就没了——加前缀能留住它,人工核对时一眼看出
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某张图原本在哪个目录;顺带也化解不同子目录同名文件在同一个簇里撞车的情况
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(撞车时的报错也会提示可以试试这个开关)。
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目录名可用 `--tag r18ss` 换标签、`--out` 完全指定。几个保护:源文件缺失、
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同簇内出现重名(保持原名会互相覆盖)都会直接报错;目标目录非空时必须显式 `--overwrite`。
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> 标签只反映骨架,不区分 pretrained 与 simclr——同一骨架的两种跑法会推出同名目录,
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> 需要并存时用 `--tag` 手动区分。无论目录叫什么,`manifest.json` 都记着这批图来自哪次 run。
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几个保护:同类别内重名(保持原名会互相覆盖)直接报错并提示可用 `--prefix-parent`;
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目标目录非空时必须显式 `--overwrite`。
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### 自监督预训练(SimCLR)
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+149
-123
@@ -1,38 +1,35 @@
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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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"""按 clusters/ 目录里的分组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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uv run python scripts/export_clusters.py --work-dir runs/orgnized_from_r101_k40
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产出(目录名默认自动推导,见下):
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聚类脚本产出的 `clusters/` 里是**软链**,方便人工翻看、调整——可以把图在子目录之间
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挪动、删掉分错的、把 `cluster_03` 改名成 `grease`。这个脚本以整理后的目录为准,
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把每张图的**真实文件**复制出来:
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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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data/orgnized_from_r101_k40/
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├── grease/ ← 子目录名沿用 clusters/ 里的名字(人工整理过的类别名)
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├── mosquito/
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├── normal/
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└── manifest.json # 每张图的原始路径与所属类别,便于追溯
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```
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**复制真实文件**,不是软链——所以这个目录可以直接拷走或喂给别的工具。
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默认保持原文件名;加 `--prefix-parent` 会在文件名前拼上原父目录名
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(`grease/abc.png` -> `grease_abc.png`),便于导出后仍能一眼看出图片来自哪个原始目录,
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也能避免不同子目录的同名文件在同一个簇里撞车。
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**软链失效也没关系。** 从服务器拷回来的 clusters/ 目录,软链指向的是服务器路径
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(`/home/deep/ModelTrainEval/data/raw/...`),在本机全部失效。脚本会读出链接目标,
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按其中的 `data/` 段重新落到本机 `--source-root` 上;万一还找不到,再用文件名在
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源目录里兜底索引一次。
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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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导出的文件名用**原图的名字**,不带 clusters/ 里的 `0125_` 排序前缀。
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加 `--prefix-parent` 则再拼上原父目录名(`反面纵黑点/abc.png` -> `反面纵黑点_abc.png`),
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便于导出后仍能看出图片来自哪个原始目录。
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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 os
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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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@@ -44,78 +41,90 @@ 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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IMAGE_SUFFIXES = (".png", ".jpg", ".jpeg", ".bmp", ".tif", ".tiff", ".webp")
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class SourceResolver:
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"""把 clusters/ 里的条目解析成本机上的真实图片路径。
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三种情况依次尝试:
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1. 条目本身就是真实文件(有人直接把图拷进去了);
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2. 软链有效,直接 resolve;
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3. 软链失效——读出链接目标,按 `data/` 段重新落到本机 `source_root` 上。
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再不行就用链接目标的文件名在源目录里查索引(索引惰性构建,用不到就不扫盘)。
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"""
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def __init__(self, source_root: Path, marker: str = "data") -> None:
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self.source_root = source_root.resolve()
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self.marker = marker
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self._index: dict[str, Path] | None = None
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def _rebase(self, target: Path) -> Path | None:
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"""把 /home/deep/ModelTrainEval/data/raw/film/x.png 落到本机同名的 data/ 下。"""
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parts = target.parts
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if self.marker not in parts:
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return None
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candidate = self.source_root.joinpath(*parts[parts.index(self.marker) :])
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return candidate if candidate.exists() else None
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def _lookup(self, name: str) -> Path | None:
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if self._index is None:
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logger.info("建立文件名索引以兜底解析(扫描 %s)…", self.source_root / self.marker)
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self._index = {
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path.name: path
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for path in (self.source_root / self.marker).rglob("*")
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if path.suffix.lower() in IMAGE_SUFFIXES
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}
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logger.info("索引 %d 个文件", len(self._index))
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return self._index.get(name)
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def resolve(self, entry: Path) -> Path | None:
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if entry.is_symlink():
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target = Path(os.readlink(entry))
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if entry.exists(): # 软链有效
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return entry.resolve()
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return self._rebase(target) or self._lookup(target.name)
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if entry.is_file():
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return entry.resolve()
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return None
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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_clusters(clusters_dir: Path) -> dict[str, list[Path]]:
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"""扫描 clusters/ 下的每个子目录,子目录名即类别名。"""
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if not clusters_dir.is_dir():
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raise FileNotFoundError(f"找不到目录 {clusters_dir},先跑一次 scripts/cluster_unlabeled.py")
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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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groups: dict[str, list[Path]] = {}
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for category in sorted(p for p in clusters_dir.iterdir() if p.is_dir()):
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entries = sorted(
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p
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for p in category.rglob("*")
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if (p.is_symlink() or p.is_file()) and p.suffix.lower() in IMAGE_SUFFIXES
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)
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if entries:
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groups[category.name] = entries
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if not groups:
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raise ValueError(f"{clusters_dir} 下没有找到任何图片条目")
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return groups
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def destination_name(source: Path, prefix_parent: bool = False) -> str:
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"""目标文件名。
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"""目标文件名,用**原图**的名字(不带 clusters/ 里的 NNNN_ 排序前缀)。
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`prefix_parent` 时拼上原父目录名(`grease/abc.png` -> `grease_abc.png`):
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导出后目录只剩簇号,原来的来源信息就没了,加前缀能留住它;
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顺带也化解不同子目录同名文件在同一个簇里撞车的情况。
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`prefix_parent` 时拼上原父目录名:导出后只剩类别目录,来源信息本来会丢失。
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"""
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return f"{source.parent.name}_{source.name}" if prefix_parent else source.name
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def check_conflicts(groups: dict[int, list[Path]], prefix_parent: bool = False) -> None:
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"""同一个簇里出现同名文件时直接报错——不改名就不能悄悄覆盖。
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按**目标文件名**判重:加了父目录前缀之后原本会撞车的文件可能就不撞了。
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"""
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def check_conflicts(resolved: dict[str, list[Path]], prefix_parent: bool = False) -> None:
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"""同一个类别里出现同名文件时直接报错——不改名就不能悄悄覆盖。"""
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problems = []
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for cluster, files in sorted(groups.items()):
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for category, files in sorted(resolved.items()):
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names = Counter(destination_name(f, prefix_parent) 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 = [
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str(f) for f in files if destination_name(f, prefix_parent) == name
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][:3]
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problems.append(f" 簇 {cluster} 里 {name!r} 出现 {count} 次: {', '.join(sources)} …")
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sources = [str(f) for f in files if destination_name(f, prefix_parent) == name][:3]
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problems.append(f" {category} 里 {name!r} 出现 {count} 次: {', '.join(sources)} …")
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if problems:
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hint = "" if prefix_parent else "可以试试 --prefix-parent 用父目录名区分,或"
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raise ValueError(
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@@ -128,72 +137,86 @@ def main() -> int:
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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("--work-dir", default=None, help="聚类产出目录(取其中的 clusters/)")
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parser.add_argument("--clusters", default=None, help="直接指定 clusters 目录")
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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(
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"--source-root",
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default=".",
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help="本机存放原图的仓库根目录,用来重定位失效的软链,默认当前目录",
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)
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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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parser.add_argument(
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"--prefix-parent",
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action="store_true",
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help="复制时在文件名前拼上原父目录名(grease/abc.png -> grease_abc.png)",
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help="复制时在文件名前拼上原父目录名(反面纵黑点/abc.png -> 反面纵黑点_abc.png)",
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)
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parser.add_argument(
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"--skip-missing", action="store_true", help="解析不到的条目跳过而不是中止"
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)
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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:
|
||||
logger.error("必须给 --work-dir 或 --assignments 之一")
|
||||
if not args.work_dir and not args.clusters:
|
||||
logger.error("必须给 --work-dir 或 --clusters 之一")
|
||||
return 1
|
||||
work_dir = Path(args.work_dir) if args.work_dir else None
|
||||
assignments_path = Path(args.assignments) if args.assignments else work_dir / "assignments.csv"
|
||||
clusters_dir = Path(args.clusters) if args.clusters else work_dir / "clusters"
|
||||
|
||||
try:
|
||||
rows = read_assignments(assignments_path)
|
||||
groups = read_clusters(clusters_dir)
|
||||
except (FileNotFoundError, ValueError) as exc:
|
||||
logger.error("%s", exc)
|
||||
return 1
|
||||
|
||||
summary_path = (work_dir or assignments_path.parent) / "summary.json"
|
||||
summary = json.loads(summary_path.read_text(encoding="utf-8")) if summary_path.exists() else {}
|
||||
|
||||
groups: dict[int, list[Path]] = defaultdict(list)
|
||||
for path, cluster in rows:
|
||||
groups[cluster].append(path)
|
||||
|
||||
source_root = common_root([p for p, _ in rows])
|
||||
num_clusters = int(summary.get("num_clusters") or (max(groups) + 1))
|
||||
tag = args.tag or backbone_tag(summary)
|
||||
out_dir = (
|
||||
Path(args.out)
|
||||
if args.out
|
||||
else Path(args.data_root) / f"{source_root.name}_{tag}_cluster_k{num_clusters}"
|
||||
Path(args.out) if args.out else Path(args.data_root) / clusters_dir.resolve().parent.name
|
||||
)
|
||||
|
||||
logger.info("来源: %s(%d 张,%d 个簇)", assignments_path, len(rows), len(groups))
|
||||
logger.info("源数据集: %s | 骨架标签: %s", source_root, tag)
|
||||
total = sum(len(v) for v in groups.values())
|
||||
logger.info("来源: %s(%d 张,%d 个类别)", clusters_dir, total, len(groups))
|
||||
logger.info("输出目录: %s", out_dir)
|
||||
if args.prefix_parent:
|
||||
example = rows[0][0]
|
||||
logger.info(
|
||||
"文件名加父目录前缀:%s -> %s", example.name, destination_name(example, True)
|
||||
)
|
||||
|
||||
missing = [p for p, _ in rows if not p.exists()]
|
||||
if missing:
|
||||
logger.error("有 %d 个源文件不存在,例如 %s", len(missing), missing[0])
|
||||
resolver = SourceResolver(Path(args.source_root))
|
||||
resolved: dict[str, list[Path]] = defaultdict(list)
|
||||
unresolved: list[Path] = []
|
||||
for category, entries in groups.items():
|
||||
for entry in entries:
|
||||
source = resolver.resolve(entry)
|
||||
if source is None:
|
||||
unresolved.append(entry)
|
||||
else:
|
||||
resolved[category].append(source)
|
||||
|
||||
if unresolved:
|
||||
logger.error("有 %d 个条目在本机找不到对应的原图,例如:", len(unresolved))
|
||||
for entry in unresolved[:5]:
|
||||
target = os.readlink(entry) if entry.is_symlink() else "(不是软链)"
|
||||
logger.error(" %s -> %s", entry, target)
|
||||
if not args.skip_missing:
|
||||
logger.error(
|
||||
"确认 --source-root 指向存放 data/ 的目录(当前 %s);"
|
||||
"确实要忽略这些条目请加 --skip-missing",
|
||||
Path(args.source_root).resolve(),
|
||||
)
|
||||
return 1
|
||||
logger.warning("--skip-missing:跳过上述 %d 个条目", len(unresolved))
|
||||
|
||||
try:
|
||||
check_conflicts(groups, args.prefix_parent)
|
||||
check_conflicts(resolved, args.prefix_parent)
|
||||
except ValueError as exc:
|
||||
logger.error("%s", exc)
|
||||
return 1
|
||||
|
||||
for cluster in sorted(groups):
|
||||
logger.info(" 簇 %d -> %s/%d/ 共 %d 张", cluster, out_dir.name, cluster, len(groups[cluster]))
|
||||
for category in sorted(resolved):
|
||||
logger.info(" %-14s -> %s/%s/ 共 %d 张", category, out_dir.name, category,
|
||||
len(resolved[category]))
|
||||
if args.prefix_parent:
|
||||
example = next(iter(next(iter(resolved.values()))))
|
||||
logger.info("文件名加父目录前缀:%s -> %s", example.name, destination_name(example, True))
|
||||
if args.dry_run:
|
||||
logger.info("--dry-run:未写入任何文件")
|
||||
return 0
|
||||
@@ -208,30 +231,33 @@ def main() -> int:
|
||||
copied = 0
|
||||
total_bytes = 0
|
||||
manifest: dict[str, list[dict]] = {}
|
||||
for cluster in sorted(groups):
|
||||
target = out_dir / str(cluster)
|
||||
target.mkdir(parents=True, exist_ok=True)
|
||||
for category in sorted(resolved):
|
||||
target_dir = out_dir / category
|
||||
target_dir.mkdir(parents=True, exist_ok=True)
|
||||
entries = []
|
||||
for source in sorted(groups[cluster]):
|
||||
for source in sorted(resolved[category]):
|
||||
name = destination_name(source, args.prefix_parent)
|
||||
destination = target / name
|
||||
destination = target_dir / name
|
||||
shutil.copy2(source, destination) # copy2 连同修改时间一起复制
|
||||
total_bytes += destination.stat().st_size
|
||||
copied += 1
|
||||
entries.append({"file": name, "source": str(source)})
|
||||
manifest[str(cluster)] = entries
|
||||
logger.info("簇 %d 完成:%d 张", cluster, len(entries))
|
||||
manifest[category] = entries
|
||||
logger.info("%-14s 完成:%d 张", category, len(entries))
|
||||
|
||||
if not args.no_manifest:
|
||||
summary_path = (work_dir or clusters_dir.parent) / "summary.json"
|
||||
summary = json.loads(summary_path.read_text(encoding="utf-8")) if summary_path.exists() else {}
|
||||
(out_dir / "manifest.json").write_text(
|
||||
json.dumps(
|
||||
{
|
||||
"source_root": str(source_root),
|
||||
"assignments": str(assignments_path.resolve()),
|
||||
"num_clusters": num_clusters,
|
||||
"clusters_dir": str(clusters_dir.resolve()),
|
||||
"source_root": str(Path(args.source_root).resolve()),
|
||||
"categories": sorted(manifest),
|
||||
"prefix_parent": args.prefix_parent,
|
||||
"skipped": [str(p) for p in unresolved],
|
||||
"feature_source": summary.get("feature_source"),
|
||||
"cluster_sizes": {k: len(v) for k, v in sorted(manifest.items())},
|
||||
"category_sizes": {k: len(v) for k, v in sorted(manifest.items())},
|
||||
"files": manifest,
|
||||
},
|
||||
ensure_ascii=False,
|
||||
|
||||
+150
-171
@@ -1,6 +1,5 @@
|
||||
"""按聚类结果导出数据集。"""
|
||||
"""按 clusters/ 目录导出数据集。"""
|
||||
|
||||
import csv
|
||||
import filecmp
|
||||
import json
|
||||
import sys
|
||||
@@ -18,38 +17,37 @@ import export_clusters as ec # noqa: E402
|
||||
|
||||
|
||||
@pytest.fixture
|
||||
def cluster_run(tmp_path):
|
||||
"""造一份源图片 + assignments.csv + summary.json。"""
|
||||
source = tmp_path / "film"
|
||||
(source / "grease").mkdir(parents=True)
|
||||
(source / "wrinkle").mkdir(parents=True)
|
||||
def curated(tmp_path):
|
||||
"""造出「源图在本机 + clusters/ 里全是失效软链」的现场。
|
||||
|
||||
模拟从服务器拷回来的 clusters/:软链指向 /server/proj/data/raw/...,本机没有该路径,
|
||||
但同样的相对路径在 tmp_path/data/raw/ 下存在。
|
||||
"""
|
||||
rng = np.random.default_rng(0)
|
||||
files = []
|
||||
for folder, count in (("grease", 3), ("wrinkle", 2)):
|
||||
sources = {}
|
||||
for dataset, folder, count in (("film", "grease", 3), ("film", "wrinkle", 2), ("blue", "", 2)):
|
||||
relative = Path("data/raw") / dataset / folder if folder else Path("data/raw") / dataset
|
||||
directory = tmp_path / relative
|
||||
directory.mkdir(parents=True, exist_ok=True)
|
||||
for i in range(count):
|
||||
path = source / folder / f"{folder}_{i}.png"
|
||||
Image.fromarray(rng.integers(0, 255, (20, 30, 3), dtype=np.uint8)).save(path)
|
||||
files.append(path)
|
||||
name = f"{dataset}{folder}{i}.png"
|
||||
path = directory / name
|
||||
Image.fromarray(rng.integers(0, 255, (12, 16, 3), dtype=np.uint8)).save(path)
|
||||
sources[path] = str(Path("/server/proj") / relative / name)
|
||||
|
||||
work_dir = tmp_path / "run"
|
||||
work_dir.mkdir()
|
||||
with (work_dir / "assignments.csv").open("w", newline="", encoding="utf-8") as handle:
|
||||
writer = csv.writer(handle)
|
||||
writer.writerow(["path", "cluster", "distance_to_centroid", "source_dir", "width", "height"])
|
||||
for index, path in enumerate(files):
|
||||
writer.writerow([str(path), index % 2, "0.1", path.parent.name, 30, 20])
|
||||
(work_dir / "summary.json").write_text(
|
||||
json.dumps({
|
||||
"num_clusters": 2,
|
||||
"feature_source": {
|
||||
"method": "simclr",
|
||||
"backbone": {"name": "torchvision", "arch": "resnet18"},
|
||||
},
|
||||
}),
|
||||
encoding="utf-8",
|
||||
clusters = tmp_path / "run" / "clusters"
|
||||
categories = {"grease": [], "normal": []}
|
||||
for index, (local, server) in enumerate(sorted(sources.items())):
|
||||
category = "grease" if index % 2 == 0 else "normal"
|
||||
(clusters / category).mkdir(parents=True, exist_ok=True)
|
||||
link = clusters / category / f"{index:04d}_{local.name}"
|
||||
link.symlink_to(server) # 指向服务器路径,本机必然失效
|
||||
assert not link.exists()
|
||||
categories[category].append(local)
|
||||
(tmp_path / "run" / "summary.json").write_text(
|
||||
json.dumps({"feature_source": {"backbone": {"arch": "resnet101"}}}), encoding="utf-8"
|
||||
)
|
||||
return source, work_dir, files
|
||||
return tmp_path, clusters, categories
|
||||
|
||||
|
||||
def run(argv, monkeypatch):
|
||||
@@ -57,167 +55,148 @@ def run(argv, monkeypatch):
|
||||
return ec.main()
|
||||
|
||||
|
||||
def test_exports_real_files_with_original_names(cluster_run, tmp_path, monkeypatch):
|
||||
source, work_dir, files = cluster_run
|
||||
data_root = tmp_path / "data"
|
||||
def test_broken_symlinks_are_relocated_to_local_source(curated, tmp_path, monkeypatch):
|
||||
"""从服务器拷回来的软链全部失效,仍应按 data/ 段落到本机原图上。"""
|
||||
root, clusters, categories = curated
|
||||
out = tmp_path / "out"
|
||||
|
||||
assert run(["--work-dir", str(work_dir), "--data-root", str(data_root)], monkeypatch) == 0
|
||||
|
||||
out = data_root / "film_r18_cluster_k2" # <源目录名>_<骨架标签>_cluster_k<簇数>
|
||||
assert out.is_dir()
|
||||
assert sorted(p.name for p in out.iterdir() if p.is_dir()) == ["0", "1"]
|
||||
|
||||
exported = sorted(p for p in out.rglob("*.png"))
|
||||
assert len(exported) == len(files)
|
||||
for path in exported:
|
||||
assert not path.is_symlink(), "必须是真实文件,不是软链"
|
||||
assert path.is_file()
|
||||
# 文件名保持不变、内容逐字节一致
|
||||
by_name = {p.name: p for p in exported}
|
||||
for original in files:
|
||||
assert original.name in by_name
|
||||
assert filecmp.cmp(original, by_name[original.name], shallow=False)
|
||||
|
||||
|
||||
def test_prefix_parent_prepends_source_folder(cluster_run, tmp_path, monkeypatch):
|
||||
"""--prefix-parent 把原父目录名拼到文件名前,导出后仍能看出图来自哪个目录。"""
|
||||
_, work_dir, files = cluster_run
|
||||
data_root = tmp_path / "data"
|
||||
|
||||
assert run(["--work-dir", str(work_dir), "--data-root", str(data_root), "--prefix-parent"],
|
||||
assert run(["--clusters", str(clusters), "--out", str(out), "--source-root", str(root)],
|
||||
monkeypatch) == 0
|
||||
|
||||
out = data_root / "film_r18_cluster_k2"
|
||||
exported = {p.name for p in out.rglob("*.png")}
|
||||
assert exported == {f"{f.parent.name}_{f.name}" for f in files}
|
||||
assert all(name.startswith(("grease_", "wrinkle_")) for name in exported)
|
||||
for category, sources in categories.items():
|
||||
exported = sorted((out / category).glob("*.png"))
|
||||
assert len(exported) == len(sources)
|
||||
for path in exported:
|
||||
assert not path.is_symlink(), "必须是真实文件"
|
||||
by_name = {p.name: p for p in exported}
|
||||
for source in sources:
|
||||
assert filecmp.cmp(source, by_name[source.name], shallow=False)
|
||||
|
||||
# 仍然是真实文件、内容不变
|
||||
for path in out.rglob("*.png"):
|
||||
assert not path.is_symlink() and path.is_file()
|
||||
|
||||
def test_category_names_are_preserved(curated, tmp_path, monkeypatch):
|
||||
"""clusters/ 里的子目录名是人工整理出来的类别,导出后要原样保留。"""
|
||||
root, clusters, categories = curated
|
||||
out = tmp_path / "out"
|
||||
run(["--clusters", str(clusters), "--out", str(out), "--source-root", str(root)], monkeypatch)
|
||||
|
||||
assert sorted(p.name for p in out.iterdir() if p.is_dir()) == sorted(categories)
|
||||
|
||||
|
||||
def test_rank_prefix_is_stripped(curated, tmp_path, monkeypatch):
|
||||
"""clusters/ 里的文件名带 0000_ 排序前缀,导出用原图名。"""
|
||||
root, clusters, _ = curated
|
||||
out = tmp_path / "out"
|
||||
run(["--clusters", str(clusters), "--out", str(out), "--source-root", str(root)], monkeypatch)
|
||||
|
||||
assert not any(p.name[:4].isdigit() and p.name[4] == "_" for p in out.rglob("*.png"))
|
||||
|
||||
|
||||
def test_prefix_parent_resolves_cross_dataset_collisions(curated, tmp_path, monkeypatch):
|
||||
"""不同数据集用同样的数字文件名(blue/7.png 与 pearlescent/7.png)时会撞车,
|
||||
加父目录前缀就能共存——这正是真实数据里 blue/uv/pearlescent 的情况。"""
|
||||
root, clusters, _ = curated
|
||||
twins = []
|
||||
for dataset in ("blue", "pearlescent"):
|
||||
directory = root / "data" / "raw" / dataset
|
||||
directory.mkdir(parents=True, exist_ok=True)
|
||||
path = directory / "7.png"
|
||||
Image.fromarray(np.full((12, 16, 3), 7, dtype=np.uint8)).save(path)
|
||||
link = clusters / "normal" / f"05{len(twins)}_7.png"
|
||||
link.symlink_to(f"/server/proj/data/raw/{dataset}/7.png")
|
||||
twins.append(path)
|
||||
|
||||
out = tmp_path / "out"
|
||||
argv = ["--clusters", str(clusters), "--out", str(out), "--source-root", str(root)]
|
||||
|
||||
assert run(argv, monkeypatch) == 1 # 同名撞车
|
||||
assert run([*argv, "--prefix-parent"], monkeypatch) == 0 # 用父目录名区分
|
||||
|
||||
names = {p.name for p in out.rglob("*.png")}
|
||||
assert {"blue_7.png", "pearlescent_7.png"} <= names
|
||||
|
||||
|
||||
def test_real_files_in_clusters_are_used_directly(curated, tmp_path, monkeypatch):
|
||||
"""有人直接把真实图片拷进 clusters/ 时也要能用。"""
|
||||
root, clusters, _ = curated
|
||||
extra = clusters / "normal" / "9999_real.png"
|
||||
Image.fromarray(np.zeros((10, 10, 3), dtype=np.uint8)).save(extra)
|
||||
|
||||
out = tmp_path / "out"
|
||||
assert run(["--clusters", str(clusters), "--out", str(out), "--source-root", str(root),
|
||||
"--prefix-parent"], monkeypatch) == 0
|
||||
assert (out / "normal" / "normal_9999_real.png").is_file()
|
||||
|
||||
|
||||
def test_unresolvable_entries_abort_unless_skipped(curated, tmp_path, monkeypatch):
|
||||
root, clusters, _ = curated
|
||||
orphan = clusters / "normal" / "0099_gone.png"
|
||||
orphan.symlink_to("/server/proj/data/raw/film/grease/does_not_exist.png")
|
||||
|
||||
out = tmp_path / "out"
|
||||
argv = ["--clusters", str(clusters), "--out", str(out), "--source-root", str(root),
|
||||
"--prefix-parent"]
|
||||
assert run(argv, monkeypatch) == 1
|
||||
assert run([*argv, "--skip-missing"], monkeypatch) == 0
|
||||
|
||||
manifest = json.loads((out / "manifest.json").read_text("utf-8"))
|
||||
assert len(manifest["skipped"]) == 1
|
||||
|
||||
|
||||
def test_manifest_records_sources_and_categories(curated, tmp_path, monkeypatch):
|
||||
root, clusters, categories = curated
|
||||
out = tmp_path / "out"
|
||||
run(["--clusters", str(clusters), "--out", str(out), "--source-root", str(root),
|
||||
"--prefix-parent"], monkeypatch)
|
||||
|
||||
manifest = json.loads((out / "manifest.json").read_text("utf-8"))
|
||||
assert sorted(manifest["categories"]) == sorted(categories)
|
||||
assert manifest["prefix_parent"] is True
|
||||
assert manifest["feature_source"]["backbone"]["arch"] == "resnet101"
|
||||
total = sum(manifest["category_sizes"].values())
|
||||
assert total == sum(len(v) for v in categories.values())
|
||||
for entries in manifest["files"].values():
|
||||
for entry in entries:
|
||||
source = Path(entry["source"])
|
||||
assert entry["file"] == f"{source.parent.name}_{source.name}"
|
||||
assert Path(entry["source"]).is_file()
|
||||
|
||||
|
||||
def test_without_prefix_names_are_unchanged(cluster_run, tmp_path, monkeypatch):
|
||||
_, work_dir, files = cluster_run
|
||||
data_root = tmp_path / "data"
|
||||
run(["--work-dir", str(work_dir), "--data-root", str(data_root)], monkeypatch)
|
||||
def test_dry_run_and_overwrite_guard(curated, tmp_path, monkeypatch):
|
||||
root, clusters, _ = curated
|
||||
out = tmp_path / "out"
|
||||
argv = ["--clusters", str(clusters), "--out", str(out), "--source-root", str(root),
|
||||
"--prefix-parent"]
|
||||
|
||||
exported = {p.name for p in (data_root / "film_r18_cluster_k2").rglob("*.png")}
|
||||
assert exported == {f.name for f in files}
|
||||
assert run([*argv, "--dry-run"], monkeypatch) == 0
|
||||
assert not out.exists()
|
||||
|
||||
assert run(argv, monkeypatch) == 0
|
||||
assert run(argv, monkeypatch) == 1 # 已存在且非空
|
||||
assert run([*argv, "--overwrite"], monkeypatch) == 0
|
||||
|
||||
|
||||
def test_prefix_parent_resolves_same_name_across_folders(cluster_run, tmp_path, monkeypatch):
|
||||
"""不同子目录的同名文件,不加前缀会撞车报错,加了前缀就能共存。"""
|
||||
source, work_dir, _ = cluster_run
|
||||
twin = source / "wrinkle" / "grease_0.png" # 与 grease/grease_0.png 同名
|
||||
Image.fromarray(np.zeros((20, 30, 3), dtype=np.uint8)).save(twin)
|
||||
def test_default_out_dir_uses_work_dir_name(curated, tmp_path, monkeypatch):
|
||||
root, clusters, _ = curated
|
||||
data_root = tmp_path / "exported"
|
||||
assert run(["--work-dir", str(clusters.parent), "--data-root", str(data_root),
|
||||
"--source-root", str(root), "--prefix-parent"], monkeypatch) == 0
|
||||
assert (data_root / clusters.parent.name).is_dir()
|
||||
|
||||
rows = list(csv.DictReader((work_dir / "assignments.csv").open(encoding="utf-8")))
|
||||
with (work_dir / "assignments.csv").open("w", newline="", encoding="utf-8") as handle:
|
||||
writer = csv.DictWriter(handle, fieldnames=list(rows[0]))
|
||||
writer.writeheader()
|
||||
writer.writerows(rows)
|
||||
writer.writerow({**rows[0], "path": str(twin), "cluster": rows[0]["cluster"]})
|
||||
|
||||
data_root = tmp_path / "data"
|
||||
argv = ["--work-dir", str(work_dir), "--data-root", str(data_root)]
|
||||
assert run(argv, monkeypatch) == 1 # 不加前缀:撞车
|
||||
assert run([*argv, "--prefix-parent"], monkeypatch) == 0 # 加前缀:共存
|
||||
def test_resolver_falls_back_to_basename_index(curated, tmp_path):
|
||||
"""链接目标里没有 data/ 段时,用文件名在源目录里兜底查找。"""
|
||||
root, clusters, _ = curated
|
||||
resolver = ec.SourceResolver(root)
|
||||
ec.logger = ec.setup_logging()
|
||||
|
||||
out = data_root / "film_r18_cluster_k2"
|
||||
assert {"grease_grease_0.png", "wrinkle_grease_0.png"} <= {p.name for p in out.rglob("*.png")}
|
||||
odd = clusters / "grease" / "0100_odd.png"
|
||||
target = sorted((root / "data" / "raw" / "film" / "grease").glob("*.png"))[0]
|
||||
odd.symlink_to(f"/elsewhere/{target.name}") # 路径里没有 data/ 段
|
||||
assert resolver.resolve(odd) == target.resolve()
|
||||
|
||||
|
||||
def test_missing_clusters_dir_is_reported(tmp_path, monkeypatch):
|
||||
assert run(["--clusters", str(tmp_path / "nope"), "--out", str(tmp_path / "o")], monkeypatch) == 1
|
||||
|
||||
|
||||
def test_destination_name_helper():
|
||||
assert ec.destination_name(Path("data/raw/film/grease/abc.png")) == "abc.png"
|
||||
assert ec.destination_name(Path("data/raw/film/grease/abc.png"), True) == "grease_abc.png"
|
||||
|
||||
|
||||
def test_cluster_dirs_are_numbered_from_zero(cluster_run, tmp_path, monkeypatch):
|
||||
_, work_dir, files = cluster_run
|
||||
data_root = tmp_path / "data"
|
||||
run(["--work-dir", str(work_dir), "--data-root", str(data_root)], monkeypatch)
|
||||
|
||||
out = data_root / "film_r18_cluster_k2"
|
||||
assert (out / "0").is_dir() and (out / "1").is_dir()
|
||||
assert len(list((out / "0").glob("*.png"))) + len(list((out / "1").glob("*.png"))) == len(files)
|
||||
|
||||
|
||||
def test_manifest_records_provenance(cluster_run, tmp_path, monkeypatch):
|
||||
_, work_dir, files = cluster_run
|
||||
data_root = tmp_path / "data"
|
||||
run(["--work-dir", str(work_dir), "--data-root", str(data_root)], monkeypatch)
|
||||
|
||||
manifest = json.loads((data_root / "film_r18_cluster_k2" / "manifest.json").read_text("utf-8"))
|
||||
assert manifest["num_clusters"] == 2
|
||||
assert manifest["feature_source"]["backbone"]["arch"] == "resnet18"
|
||||
assert sum(manifest["cluster_sizes"].values()) == len(files)
|
||||
# 原图路径可追溯
|
||||
recorded = {e["source"] for entries in manifest["files"].values() for e in entries}
|
||||
assert recorded == {str(f) for f in files}
|
||||
|
||||
|
||||
def test_tag_and_out_overrides(cluster_run, tmp_path, monkeypatch):
|
||||
_, work_dir, _ = cluster_run
|
||||
data_root = tmp_path / "data"
|
||||
|
||||
run(["--work-dir", str(work_dir), "--data-root", str(data_root), "--tag", "r18ss"], monkeypatch)
|
||||
assert (data_root / "film_r18ss_cluster_k2").is_dir()
|
||||
|
||||
explicit = tmp_path / "somewhere" / "my_dataset"
|
||||
run(["--work-dir", str(work_dir), "--out", str(explicit)], monkeypatch)
|
||||
assert explicit.is_dir()
|
||||
|
||||
|
||||
def test_dry_run_writes_nothing(cluster_run, tmp_path, monkeypatch):
|
||||
_, work_dir, _ = cluster_run
|
||||
data_root = tmp_path / "data"
|
||||
assert run(["--work-dir", str(work_dir), "--data-root", str(data_root), "--dry-run"],
|
||||
monkeypatch) == 0
|
||||
assert not data_root.exists()
|
||||
|
||||
|
||||
def test_refuses_to_overwrite_unless_asked(cluster_run, tmp_path, monkeypatch):
|
||||
_, work_dir, _ = cluster_run
|
||||
data_root = tmp_path / "data"
|
||||
argv = ["--work-dir", str(work_dir), "--data-root", str(data_root)]
|
||||
|
||||
assert run(argv, monkeypatch) == 0
|
||||
assert run(argv, monkeypatch) == 1 # 已存在且非空 -> 拒绝
|
||||
assert run([*argv, "--overwrite"], monkeypatch) == 0 # 明确要求才覆盖
|
||||
|
||||
|
||||
def test_duplicate_basenames_in_one_cluster_are_rejected(cluster_run, tmp_path, monkeypatch):
|
||||
"""要求保留原文件名,同簇重名就会互相覆盖,必须报错而不是悄悄丢文件。"""
|
||||
source, work_dir, _ = cluster_run
|
||||
twin = source / "wrinkle" / "grease_0.png" # 与 grease/grease_0.png 同名
|
||||
Image.fromarray(np.zeros((20, 30, 3), dtype=np.uint8)).save(twin)
|
||||
|
||||
rows = list(csv.DictReader((work_dir / "assignments.csv").open(encoding="utf-8")))
|
||||
with (work_dir / "assignments.csv").open("w", newline="", encoding="utf-8") as handle:
|
||||
writer = csv.DictWriter(handle, fieldnames=list(rows[0]))
|
||||
writer.writeheader()
|
||||
writer.writerows(rows)
|
||||
writer.writerow({**rows[0], "path": str(twin), "cluster": rows[0]["cluster"]})
|
||||
|
||||
assert run(["--work-dir", str(work_dir), "--data-root", str(tmp_path / "data")], monkeypatch) == 1
|
||||
|
||||
|
||||
def test_missing_source_file_is_reported(cluster_run, tmp_path, monkeypatch):
|
||||
_, work_dir, files = cluster_run
|
||||
files[0].unlink()
|
||||
assert run(["--work-dir", str(work_dir), "--data-root", str(tmp_path / "data")], monkeypatch) == 1
|
||||
|
||||
|
||||
def test_backbone_tag_mapping():
|
||||
assert ec.backbone_tag({"feature_source": {"backbone": {"arch": "resnet18"}}}) == "r18"
|
||||
assert ec.backbone_tag({"feature_source": {"backbone": {"name": "tiny_conv"}}}) == "tiny"
|
||||
assert ec.backbone_tag({"feature_source": {"backbone": {"arch": "shufflenet_v2_x1_0"}}}) == "sfv2"
|
||||
assert ec.backbone_tag({}) == "unknown"
|
||||
|
||||
Reference in New Issue
Block a user