"""
remainder, degrees = math.modf(abs(decimal))
remainder, minutes = math.modf(remainder * 60)
return [Fraction(n) for n in (degrees, minutes, remainder * 60)]
tup_photos = li_photos(r'test\img')
li_pts = []
for photo in tup_photos:
""" explore exif geotags of each photo """
print '\n', path.basename(photo)
# with EXIF (https://github.com/ianare/exif-py)
with open(photo, 'r') as tof:
tags = EXIF.process_file(tof)
coord_EXIF = (str(tags.get('GPS GPSLatitude')), str(tags.get('GPS GPSLongitude')), str(tags.get('GPS GPSAltitude')))
# with pyexiv2
md = pyexiv2.ImageMetadata(photo)
md.read()
lat = md.__getitem__("Exif.GPSInfo.GPSLatitude")
latRef = md.__getitem__("Exif.GPSInfo.GPSLatitudeRef")
lon = md.__getitem__("Exif.GPSInfo.GPSLongitude")
lonRef = md.__getitem__("Exif.GPSInfo.GPSLongitudeRef")
lat = str(lat).split("=")[1][1:-1].split(" ");
lat = map(lambda f: str(float(Fraction(f))), lat)
lat = lat[0] + u"\u00b0" + lat[1] + "'" + lat[2] + '"' + " " + str(latRef).split("=")[1][1:-1]
lon = str(lon).split("=")[1][1:-1].split(" ");
lon = map(lambda f: str(float(Fraction(f))), lon)