Upload scripts/stitch_full.py with huggingface_hub

scripts/stitch_full.py

@@ -0,0 +1,77 @@
+"""
+stitch_full.py
+==============
+Stitches Gargano Sentinel-2 tiles in a folder into one full-resolution image
+(no labels, no borders).
+
+Tile filenames must follow the dataset convention:
+    <prefix>_r<rr>_c<cc>.<ext>
+
+Tiles are grouped by <prefix>; each group produces one mosaic.
+
+Usage
+-----
+    python stitch_full.py <input_folder> [output_folder]
+"""
+
+from __future__ import annotations
+
+import re
+import sys
+from collections import defaultdict
+from pathlib import Path
+
+from PIL import Image
+
+GRID_ROWS = 5   # r00..r04
+GRID_COLS = 8   # c00..c07
+
+PATTERN = re.compile(
+    r"^(?P<prefix>.+)_r(?P<row>\d{2})_c(?P<col>\d{2})\.(?P<ext>png|jpg|jpeg|tif|tiff)$",
+    re.IGNORECASE,
+)
+
+
+def main() -> None:
+    if len(sys.argv) < 2:
+        print("Usage: python stitch_full.py <input_folder> [output_folder]")
+        sys.exit(1)
+
+    in_dir  = Path(sys.argv[1])
+    out_dir = Path(sys.argv[2]) if len(sys.argv) > 2 else in_dir / "stitched_full"
+    out_dir.mkdir(parents=True, exist_ok=True)
+
+    groups: dict[str, dict[tuple[int, int], Path]] = defaultdict(dict)
+    for p in sorted(in_dir.iterdir()):
+        m = PATTERN.match(p.name)
+        if not m:
+            continue
+        groups[m["prefix"]][(int(m["row"]), int(m["col"]))] = p
+
+    if not groups:
+        print(f"No tiles matching <prefix>_rNN_cNN.<ext> in {in_dir}")
+        return
+
+    for prefix, tiles in groups.items():
+        with Image.open(next(iter(tiles.values()))) as first:
+            tw, th = first.size
+
+        canvas = Image.new("RGB", (tw * GRID_COLS, th * GRID_ROWS))
+        missing = 0
+        for r in range(GRID_ROWS):
+            for c in range(GRID_COLS):
+                tp = tiles.get((r, c))
+                if tp is None:
+                    missing += 1
+                    continue
+                with Image.open(tp) as t:
+                    canvas.paste(t.convert("RGB"), (c * tw, r * th))
+
+        out_path = out_dir / f"{prefix}_full.png"
+        canvas.save(out_path)
+        flag = f"  (missing {missing})" if missing else ""
+        print(f"  → {out_path.name}  [{canvas.size[0]}×{canvas.size[1]}]{flag}")
+
+
+if __name__ == "__main__":
+    main()