#!/usr/bin/env python3 """ build_dataset.py — reconstruct the gRef-CW image set locally. gRef-CW ships only the ANNOTATIONS (``grefs(unc).json`` and ``instances.json``). The underlying images are part of the CropAndWeed dataset (AIT) and, under its non-commercial licence, **may not be redistributed**. This script therefore obtains the images from the official CropAndWeed source and arranges them to match the gRef-CW annotations. Pipeline -------- 1. (``--auto``) clone the official CropAndWeed repo and run its downloader (``python cnw/setup.py``), or point at an existing CropAndWeed checkout with ``--cnw-images``. 2. index the downloaded CropAndWeed images by file name / stem. 3. for every image referenced by ``instances.json``, link (or copy) it into ``/images/``. 4. verify that every referenced image is present; report anything missing. Usage ----- # Fully automatic: clone CropAndWeed, download images, then build. python scripts/build_dataset.py --data-dir data --auto # If you already have CropAndWeed images on disk: python scripts/build_dataset.py --data-dir data \ --cnw-images /path/to/cropandweed-dataset/data/images # Copy instead of symlink (e.g. across filesystems): python scripts/build_dataset.py --data-dir data --cnw-images --copy Notes ----- * CropAndWeed image files are named ``ave__`` / ``vwg__`` (see the CropAndWeed README). Matching is done on the file name, falling back to the stem (name without extension), so it is tolerant of ``.jpg``/``.png``. * Stdlib only — no third-party dependencies. * Licence details: see ``DATASHEET.md`` and ``LICENSE``. """ from __future__ import annotations import argparse import json import os import shutil import subprocess import sys from pathlib import Path CNW_REPO = "https://github.com/cropandweed/cropandweed-dataset.git" IMAGE_EXTS = (".jpg", ".jpeg", ".png", ".tif", ".tiff", ".bmp") def log(msg: str) -> None: print(f"[build_dataset] {msg}", flush=True) def referenced_file_names(instances_json: Path) -> list[str]: """Return the list of image file names referenced by instances.json (COCO-style).""" with instances_json.open(encoding="utf-8") as f: data = json.load(f) images = data.get("images") if not images: sys.exit(f"ERROR: no 'images' array found in {instances_json}. " "Confirm this is a COCO-style instances file.") names = [] for img in images: name = img.get("file_name") or img.get("filename") or img.get("name") if not name: sys.exit(f"ERROR: an entry in {instances_json} has no file_name field: {img!r}") names.append(name) return names def index_images(images_dir: Path) -> dict[str, Path]: """Map both full file name and stem -> path for every image under images_dir.""" if not images_dir.is_dir(): sys.exit(f"ERROR: CropAndWeed images directory not found: {images_dir}") index: dict[str, Path] = {} count = 0 for path in images_dir.rglob("*"): if path.is_file() and path.suffix.lower() in IMAGE_EXTS: index.setdefault(path.name, path) index.setdefault(path.stem, path) count += 1 log(f"indexed {count} image files under {images_dir}") if count == 0: sys.exit("ERROR: no image files found. Did the CropAndWeed download succeed? " "Pass the correct --cnw-images directory.") return index def resolve(name: str, index: dict[str, Path]) -> Path | None: """Find a CropAndWeed image for a referenced gRef-CW file name.""" if name in index: return index[name] stem = Path(name).stem return index.get(stem) def auto_download(workdir: Path) -> Path: """Clone CropAndWeed and run its downloader. Returns the images directory.""" repo_dir = workdir / "cropandweed-dataset" if not repo_dir.exists(): log(f"cloning CropAndWeed into {repo_dir} ...") subprocess.run(["git", "clone", "--depth", "1", CNW_REPO, str(repo_dir)], check=True) else: log(f"reusing existing CropAndWeed checkout at {repo_dir}") setup = repo_dir / "cnw" / "setup.py" if not setup.exists(): sys.exit(f"ERROR: expected CropAndWeed downloader at {setup} but it is missing. " "Check the CropAndWeed repo layout and use --cnw-images instead.") log("running CropAndWeed downloader (python cnw/setup.py) — this fetches the images ...") subprocess.run([sys.executable, "cnw/setup.py"], cwd=str(repo_dir), check=True) # CropAndWeed extracts images under data/images by convention; fall back to a search. candidate = repo_dir / "data" / "images" if candidate.is_dir() and any(candidate.rglob("*")): return candidate for sub in repo_dir.rglob("images"): if sub.is_dir() and any(p.suffix.lower() in IMAGE_EXTS for p in sub.rglob("*") if p.is_file()): return sub sys.exit("ERROR: CropAndWeed download finished but no images directory was found. " "Locate it manually and re-run with --cnw-images.") def link_or_copy(src: Path, dst: Path, copy: bool) -> None: if dst.exists() or dst.is_symlink(): dst.unlink() if copy: shutil.copy2(src, dst) else: try: os.symlink(os.path.relpath(src, dst.parent), dst) except OSError: shutil.copy2(src, dst) # symlinks unsupported (e.g. some Windows setups) def main() -> int: ap = argparse.ArgumentParser(description="Reconstruct the gRef-CW image set from CropAndWeed.") ap.add_argument("--data-dir", type=Path, default=Path("data"), help="gRef-CW data dir containing instances.json; images written to /images.") ap.add_argument("--instances-json", type=Path, default=None, help="Path to instances.json (default: /instances.json).") src = ap.add_mutually_exclusive_group(required=True) src.add_argument("--auto", action="store_true", help="Clone CropAndWeed and run its official downloader automatically.") src.add_argument("--cnw-images", type=Path, help="Path to an existing CropAndWeed images directory.") ap.add_argument("--workdir", type=Path, default=Path(".cropandweed_cache"), help="Where to clone CropAndWeed when using --auto.") ap.add_argument("--copy", action="store_true", help="Copy image files instead of symlinking.") args = ap.parse_args() instances_json = args.instances_json or (args.data_dir / "instances.json") if not instances_json.exists(): sys.exit(f"ERROR: {instances_json} not found. Download the gRef-CW annotations first " "(see README 'Data and Weights').") out_dir = args.data_dir / "images" out_dir.mkdir(parents=True, exist_ok=True) cnw_images = auto_download(args.workdir) if args.auto else args.cnw_images log(f"CropAndWeed images: {cnw_images}") index = index_images(cnw_images) names = referenced_file_names(instances_json) log(f"{len(names)} images referenced by {instances_json.name}") matched, missing = 0, [] for name in names: src_path = resolve(name, index) if src_path is None: missing.append(name) continue link_or_copy(src_path, out_dir / Path(name).name, args.copy) matched += 1 log(f"linked/copied {matched}/{len(names)} images into {out_dir}") if missing: log(f"WARNING: {len(missing)} referenced images were NOT found in CropAndWeed. " f"First few: {missing[:10]}") log("This usually means the CropAndWeed download is incomplete or the file-name " "convention differs — verify the source and re-run.") return 1 log("Done — every referenced image was found. Dataset is ready.") return 0 if __name__ == "__main__": raise SystemExit(main())