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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 sys
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def _to_deg(value):
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"""Convert EXIF GPS coordinates to float degrees.
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Supports either tuple-of-(num,den) or tuple-of-floats.
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"""
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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 walk_and_dump(img_root: Path, out_csv: Path):
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exts = {'.jpg', '.jpeg', '.png', '.JPG', '.JPEG', '.PNG'}
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rows = []
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total = 0
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for p in img_root.rglob('*'):
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if p.suffix in exts and p.is_file():
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total += 1
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ll = exif_latlon(p)
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if ll:
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rows.append([str(p), ll[0], ll[1]])
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out_csv.parent.mkdir(parents=True, exist_ok=True)
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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(['path', 'lat', 'lon'])
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w.writerows(rows)
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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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def main(argv=None):
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argv = argv or sys.argv[1:]
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if len(argv) == 0:
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print("Usage: python scripts/exif_to_csv.py <img_root> [out_csv]")
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print("Example: python scripts/exif_to_csv.py data/raw_images data/labels.csv")
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sys.exit(1)
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img_root = Path(argv[0])
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out_csv = Path(argv[1]) if len(argv) > 1 else Path('data/labels.csv')
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walk_and_dump(img_root, out_csv)
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if __name__ == '__main__':
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main() |
