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Download scripts/casid_split.py from Linwei-Chen/CASID: direct link, hf CLI and curl.
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https://huggingface.co/datasets/Linwei-Chen/CASID/resolve/main/scripts/casid_split.py
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curl -L -o casid_split.py https://huggingface.co/datasets/Linwei-Chen/CASID/resolve/main/scripts/casid_split.py
9.47 kB
| #!/usr/bin/env python | |
| # -*- coding: utf-8 -*- | |
| """CASID 图块裁切脚本(参考 DOTA 数据集的大图滑窗裁切方式,面向语义分割)。 | |
| DOTA(arXiv:1711.10398)将大图按滑动窗口切成 1024×1024 图块(论文默认步距 512), | |
| DOTA_devkit 的 ImgSplit 工具把图块尺寸(subsize)与重叠(gap)做成参数,并支持多尺度 | |
| (先把原图按 rate 缩放,再用同样的窗口切)。本脚本沿用这套约定,并针对语义分割 | |
| 做了适配:图像与标注逐像素同步裁切,标注按类别 id 处理(缩放一律用最近邻插值), | |
| 窗口越界部分用 0(background)填充或按边缘对齐截取。 | |
| 默认参数与 CASID 论文实验完全一致:1024×1024、步距 994(重叠 30), | |
| 每张 5000×5000 原图恰好切出 5×5=25 块,无填充、无浪费。 | |
| 依赖:Python >= 3.7,Pillow,numpy | |
| 用法示例: | |
| # 论文同款(默认,25 块/张) | |
| python casid_split.py --root CASID/ --out TILES_1024/ | |
| # DOTA 论文设置:重叠 512,边缘补零 | |
| python casid_split.py --root CASID/ --out TILES_DOTA/ --gap 512 --pad | |
| # mmrotate 社区常用:重叠 200 | |
| python casid_split.py --root CASID/ --out TILES_gap200/ --gap 200 --pad | |
| # 多尺度(DOTA 多尺度惯例 0.5/1.0/1.5) | |
| python casid_split.py --root CASID/ --out TILES_MS/ --rates 0.5 1.0 1.5 | |
| # 只切训练集 / 指定区域 | |
| python casid_split.py --root CASID/ --out TILES/ --split train | |
| python casid_split.py --root CASID/ --out TILES/ --regions 20,21 | |
| 输入目录结构(即 Hugging Face 上 CASID 仓库的结构): | |
| CASID/ | |
| images/{zone}/{region_dir}/*_img.tif | |
| labels/{zone}/{region_dir}/*_gt.png | |
| splits/train.txt, test.txt # 每行一个样本 stem(相对路径不含扩展名) | |
| regions.csv | |
| 输出: | |
| out/images/{zone}/{region_dir}/{stem}_H{y}_W{x}.png | |
| out/labels/{zone}/{region_dir}/{stem}_H{y}_W{x}_gt.png | |
| 多尺度时外层多一级 out/rate{r}/... | |
| """ | |
| import argparse | |
| import csv | |
| import os | |
| import sys | |
| from multiprocessing import Pool | |
| import numpy as np | |
| from PIL import Image | |
| # 5 类地物 + 调色板(与数据集 colormap.json 一致;沿用原始标注配色:黄=建筑、红=道路) | |
| CLASS_NAMES = ["background", "building", "forest", "road", "water"] | |
| PALETTE_RGB = { | |
| 0: (0, 0, 0), | |
| 1: (255, 255, 0), | |
| 2: (85, 255, 0), | |
| 3: (255, 0, 0), | |
| 4: (0, 112, 255), | |
| } | |
| N_CLASSES = 5 | |
| PAL_SIZE = 16 | |
| def build_palette(): | |
| pal = [] | |
| for i in range(PAL_SIZE): | |
| pal.extend(PALETTE_RGB.get(i, (i, i, i))) | |
| return pal | |
| PALETTE = build_palette() | |
| def tile_starts(size, subsize, stride, pad): | |
| """一个轴上的窗口起点序列。 | |
| pad=False:固定步距网格(与 CASID 原始图块一致,所有图像共用同一网格; | |
| 上一窗未到达边缘才继续开窗,末窗越界时按图像边缘裁齐——如 4656 高的图 | |
| 网格仍为 {0,994,1988,2982,3976},末行高度裁到 680)。 | |
| pad=True:DOTA 风格,按 stride 铺满、末窗越界补零。 | |
| """ | |
| if size <= subsize: | |
| return [0] | |
| if pad: | |
| return list(range(0, size, stride)) | |
| starts = [0] | |
| while starts[-1] + subsize < size: | |
| starts.append(starts[-1] + stride) | |
| return starts | |
| def load_pairs(root, args): | |
| """返回 [(img_path, lbl_path, stem, zone, region_dir), ...]""" | |
| pairs = [] | |
| zones = args.zones.split(",") if args.zones else None | |
| regions = set(args.regions.split(",")) if args.regions else None | |
| allow = None | |
| if args.split and args.split != "all": | |
| sf = os.path.join(root, "splits", "%s.txt" % args.split) | |
| with open(sf, encoding="utf-8") as f: | |
| allow = set(l.strip() for l in f if l.strip()) | |
| with open(os.path.join(root, "regions.csv"), encoding="utf-8") as f: | |
| for row in csv.DictReader(f): | |
| if zones and row["zone_en"] not in zones: | |
| continue | |
| if regions and row["region_id"] not in regions: | |
| continue | |
| zone, rdir = row["zone_en"], row["region_dir"] | |
| idir = os.path.join(root, "images", zone, rdir) | |
| ldir = os.path.join(root, "labels", zone, rdir) | |
| if not os.path.isdir(idir): | |
| print("WARNING: 找不到 %s,跳过区域 %s(本地未下载该区?)" % (idir, rdir)) | |
| continue | |
| for fn in sorted(os.listdir(idir)): | |
| if not fn.endswith(args.img_ext): | |
| continue | |
| stem = fn[: -len(args.img_ext)] | |
| if stem.endswith("_img"): # 发布版图像名为 {stem}_img.tif | |
| stem = stem[: -len("_img")] | |
| ipath = os.path.join(idir, fn) | |
| lpath = os.path.join(ldir, stem + args.lbl_suf + ".png") | |
| if not os.path.isfile(lpath): | |
| raise FileNotFoundError("label missing for %s" % ipath) | |
| if allow is not None: | |
| rel = "%s/%s/%s" % (zone, rdir, stem) | |
| if rel not in allow: | |
| continue | |
| pairs.append((ipath, lpath, stem, zone, rdir)) | |
| return pairs | |
| def cut_one(task): | |
| ipath, lpath, stem, zone, rdir, out_root, subsize, stride, pad, rate = task | |
| img = Image.open(ipath); img.load() | |
| lbl = Image.open(lpath); lbl.load() | |
| # 标签统一到"像素值=类别id"的 uint8 数组域,避免调色板/插值重映射 | |
| la = np.array(lbl) | |
| if la.ndim == 3: | |
| la = la[:, :, 0] | |
| la = la.astype(np.uint8, copy=False) | |
| if rate != 1.0: | |
| w, h = img.size | |
| nw, nh = round(w * rate), round(h * rate) | |
| img = img.resize((nw, nh), Image.BILINEAR) | |
| la_img = Image.fromarray(la, "L").resize((nw, nh), Image.NEAREST) | |
| la = np.array(la_img) | |
| W, H = img.size | |
| assert la.shape == (H, W), "label/image size mismatch: %s" % ipath | |
| ia = np.asarray(img) | |
| xs = tile_starts(W, subsize, stride, pad) | |
| ys = tile_starts(H, subsize, stride, pad) | |
| od_i = os.path.join(out_root, "images", zone, rdir) | |
| od_l = os.path.join(out_root, "labels", zone, rdir) | |
| n = 0 | |
| for y in ys: | |
| for x in xs: | |
| if pad: | |
| ch = min(subsize, H - y); cw = min(subsize, W - x) | |
| iarr = np.zeros((subsize, subsize, 3), dtype=np.uint8) | |
| iarr[:ch, :cw] = ia[y:y + ch, x:x + cw] | |
| larr = np.zeros((subsize, subsize), dtype=np.uint8) | |
| larr[:ch, :cw] = la[y:y + ch, x:x + cw] | |
| else: | |
| iarr = np.ascontiguousarray(ia[y:y + subsize, x:x + subsize]) | |
| larr = np.ascontiguousarray(la[y:y + subsize, x:x + subsize]) | |
| itile = Image.fromarray(iarr) | |
| ltile = Image.fromarray(larr) | |
| ltile.putpalette(PALETTE) | |
| os.makedirs(od_i, exist_ok=True) | |
| os.makedirs(od_l, exist_ok=True) | |
| base = "%s_H%d_W%d" % (stem, y, x) | |
| itile.save(os.path.join(od_i, base + ".png")) | |
| ltile.save(os.path.join(od_l, base + "_gt.png")) | |
| n += 1 | |
| return (stem, n) | |
| def main(): | |
| ap = argparse.ArgumentParser(description=__doc__, formatter_class=argparse.RawDescriptionHelpFormatter) | |
| ap.add_argument("--root", required=True, help="CASID 数据集根目录") | |
| ap.add_argument("--out", required=True, help="输出根目录") | |
| ap.add_argument("--subsize", type=int, default=1024, help="图块边长(默认 1024)") | |
| ap.add_argument("--stride", type=int, default=994, help="滑动步距(默认 994,即重叠 30,论文同款)") | |
| ap.add_argument("--gap", type=int, default=None, | |
| help="DOTA 习惯:用重叠量代替步距,stride = subsize - gap(如 --gap 512 为 DOTA 论文设置)") | |
| ap.add_argument("--pad", action="store_true", help="越界补零(DOTA 风格);默认关闭:末窗锚定图像边缘,不补零") | |
| ap.add_argument("--rates", type=float, nargs="+", default=[1.0], help="多尺度缩放系数(DOTA 惯例 0.5 1.0 1.5)") | |
| ap.add_argument("--split", default="all", choices=["train", "test", "all"]) | |
| ap.add_argument("--zones", default=None, help="逗号分隔的气候带英文名过滤") | |
| ap.add_argument("--regions", default=None, help="逗号分隔的区域编号过滤,如 20,21") | |
| ap.add_argument("--img-ext", default=".tif") | |
| ap.add_argument("--lbl-suf", default="_gt") | |
| ap.add_argument("--workers", type=int, default=8) | |
| args = ap.parse_args() | |
| if args.gap is not None: | |
| args.stride = args.subsize - args.gap | |
| if args.stride <= 0: | |
| sys.exit("--gap 必须小于 --subsize") | |
| if args.stride > args.subsize: | |
| sys.exit("--stride 不能大于 --subsize(会产生漏切空隙)") | |
| pairs = load_pairs(args.root, args) | |
| print("待处理样本:%d" % len(pairs)) | |
| for rate in args.rates: | |
| if rate <= 0: | |
| sys.exit("--rates 必须为正数") | |
| out_root = args.out if len(args.rates) == 1 else os.path.join(args.out, "rate%s" % rate) | |
| tasks = [(ip, lp, st, z, r, out_root, args.subsize, args.stride, args.pad, rate) | |
| for ip, lp, st, z, r in pairs] | |
| total = 0 | |
| with Pool(args.workers) as pool: | |
| for stem, n in pool.imap_unordered(cut_one, tasks): | |
| total += n | |
| print("rate=%s:完成 %d 样本,共 %d 图块 → %s" % (rate, len(tasks), total, out_root)) | |
| if __name__ == "__main__": | |
| main() | |