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from __future__ import annotations |
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from pathlib import Path |
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from PIL import Image, ExifTags |
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import csv |
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import argparse |
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def _to_deg(value): |
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"""Convert EXIF GPS coordinates to float degrees.""" |
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try: |
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def to_float(x): |
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try: |
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if isinstance(x, tuple) and len(x) == 2: |
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return x[0] / x[1] |
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except Exception: |
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pass |
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return float(x) |
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d = to_float(value[0]) |
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m = to_float(value[1]) |
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s = to_float(value[2]) |
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return d + (m / 60.0) + (s / 3600.0) |
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except Exception: |
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return None |
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def exif_latlon(img_path: Path): |
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"""Read (lat, lon) from image EXIF. Returns tuple or None if missing.""" |
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try: |
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with Image.open(img_path) as img: |
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exif = img._getexif() or {} |
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except Exception: |
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return None |
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if not exif: |
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return None |
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exif_dict = {ExifTags.TAGS.get(k, k): v for k, v in exif.items()} |
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gps_tag = exif_dict.get('GPSInfo') |
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if not gps_tag: |
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return None |
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gps = {ExifTags.GPSTAGS.get(k, k): v for k, v in gps_tag.items()} |
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lat_raw = gps.get('GPSLatitude') |
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lon_raw = gps.get('GPSLongitude') |
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if lat_raw is None or lon_raw is None: |
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return None |
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lat = _to_deg(lat_raw) |
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lon = _to_deg(lon_raw) |
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if lat is None or lon is None: |
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return None |
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if gps.get('GPSLatitudeRef', 'N') in ('S', b'S'): |
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lat = -lat |
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if gps.get('GPSLongitudeRef', 'E') in ('W', b'W'): |
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lon = -lon |
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return lat, lon |
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def extract_split(split_dir: Path) -> Path: |
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"""Scan a split directory for images and write metadata.csv with |
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columns: file_name, Latitude, Longitude (as per notebook). |
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Returns path to the written CSV. |
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""" |
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exts = {'.jpg', '.jpeg', '.JPG', '.JPEG'} |
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rows = [] |
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total = 0 |
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for p in split_dir.rglob('*'): |
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if p.is_file() and p.suffix in exts: |
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total += 1 |
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ll = exif_latlon(p) |
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if ll: |
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rel = p.relative_to(split_dir) |
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rows.append([str(rel).replace('\\\\', '/'), ll[0], ll[1]]) |
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out_csv = split_dir / 'metadata.csv' |
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with out_csv.open('w', newline='', encoding='utf-8') as f: |
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w = csv.writer(f) |
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w.writerow(['file_name', 'Latitude', 'Longitude']) |
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w.writerows(rows) |
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print(f"Split: {split_dir}") |
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print(f"Scanned {total} images; extracted {len(rows)} with GPS.") |
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print(f"Wrote: {out_csv}") |
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return out_csv |
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def main(): |
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ap = argparse.ArgumentParser(description='Extract metadata.csv for a split directory (Route B).') |
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ap.add_argument('split_dir', type=Path, help='Path to a split directory (e.g., data/train)') |
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args = ap.parse_args() |
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if not args.split_dir.exists() or not args.split_dir.is_dir(): |
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raise SystemExit(f"Split directory not found: {args.split_dir}") |
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extract_split(args.split_dir) |
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if __name__ == '__main__': |
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main() |
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