def ExtractLatLon(gps):
# to perform the calculation we need at least
# lat, lon, latRef and lonRef
if (
GPSTAGS.has_key("GPSLatitude")
and GPSTAGS.has_key("GPSLongitude")
and GPSTAGS.has_key("GPSLatitudeRef")
and GPSTAGS.has_key("GPSLatitudeRef")
):
latitude = gps["GPSLatitude"]
latitudeRef = gps["GPSLatitudeRef"]
longitude = gps["GPSLongitude"]
longitudeRef = gps["GPSLongitudeRef"]
lat = ConvertToDegrees(latitude)
lon = ConvertToDegrees(longitude)
# Check Latitude Reference
# If South of the Equator then lat value is negative
if latitudeRef == "S":
lat = 0 - lat
# Check Longitude Reference
# If West of the Prime Meridian in
# Greenwich then the Longitude value is negative
if longitudeRef == "W":
lon = 0 - lon
gpsCoor = {"Lat": lat, "LatRef": latitudeRef, "Lon": lon, "LonRef": longitudeRef}
return gpsCoor
else:
return None
def get_exif_data(user_input):
exif = Image.open(
user_input)._getexif() # Opening file and get exif information
# Error handling if exif data exists
if exif is not None:
for key, value in exif.items():
name = TAGS.get(key, key)
exif[name] = exif.pop(key)
else:
return print("No GPS/Location Data Exists!")
# Iphone
if 'GPSInfo' in exif: #Exif/GPS data is lost when an image is uploaded to Slack, we NEED RAW data.
for key in exif['GPSInfo'].keys():
name = GPSTAGS.get(key, key) #GPSTAGS from PIL
exif['GPSInfo'][name] = exif['GPSInfo'].pop(key)
exif_df = pd.DataFrame.from_dict(
exif['GPSInfo'],
orient='index') # Save to DataFrame from Dictionary
exif_df = exif_df.T[new_columns]
exif_datetime = pd.DataFrame.from_dict(
exif, orient='index'
) # Isolate DateTimeOriginal from original exif dictionary
exif_df['DateTimeOriginal'] = exif_datetime.T[
'DateTimeOriginal'] # Add new column to exif_df with DateTimeOriginal
exif_df["PhotoName"] = user_input[7:]
exif_df # Important?
disasters.append(
exif_df) # Adding exif_df to Disasters scaffolding DataFrame
return exif_df.to_csv('disasters.csv',
mode='a',
header=False,
index=False) # Save to disasters.csv
# Android
if 34853 in exif: #Exif data from Android phones
for key in exif[34853].keys():
name = GPSTAGS.get(key, key)
exif[34853][name] = exif[34853].pop(key)
exif_df_android = pd.DataFrame.from_dict(exif[34853], orient='index')
exif_df_android = exif_df_android.T[new_columns]
exif_df_android['DateTimeOriginal'] = exif['DateTimeOriginal']
exif_df_android["PhotoName"] = user_input[7:]
exif_df_android
disasters.append(exif_df_android)
return exif_df_android.to_csv('disasters.csv',
mode='a',
header=False,
index=False)
def get_geotagging(exif):
if not exif:
raise ValueError("No EXIF metadata found")
print(GPSTAGS.items())
geotagging = {}
for (idx, tag) in TAGS.items():
if tag == 'GPSInfo':
if idx not in exif:
return None
for (key, val) in GPSTAGS.items():
if key in exif[idx]:
geotagging[val] = exif[idx][key]
return geotagging
def get_exif_data(image):
'''fucntion to return info about meta data of the image.
special attention has been paid to GPSInfo which helps to get data about latitude, longitude and references.
'''
exif_data = {}
meta_data = image._getexif()
if meta_data:
for key, value in meta_data.items():
#print(key)
decoded_key = TAGS.get(key, key) #it is used to decode the key .
#print(str(key) + " " + decoded_key + " " + str(value))
#print(str(key) + " " + decoded_key) # prints the key and its decoded key.--> used for learning
if decoded_key == "GPSInfo":
gps_data = {} # a dictionary to store info about gps data of image
for idx in value:
#print(idx) #value ranges from 0 to 6.
sub_decoded_key = GPSTAGS.get(idx, idx) # it is used to decode the key.
#print(sub_decoded_key) # attributes like latilude, longitude , altitude and their references.
gps_data[sub_decoded_key] = value[idx]
exif_data[decoded_key] = gps_data
else:
exif_data[decoded_key] = value
return exif_data
def extractCoordinates(exifValue):
latRef = None
longitRef = None
lat = None
longit = None
#geocoding
gpsData = {}
for gpsTag in exifValue:
tagElem = GPSTAGS.get(gpsTag, gpsTag)
gpsData[tagElem] = exifValue[gpsTag]
if "GPSLatitude" in gpsData:
lat = gpsData["GPSLatitude"]
lat = decimalCoordinatesToDegress(lat)
if "GPSLongitude" in gpsData:
longit = gpsData["GPSLongitude"]
longit = decimalCoordinatesToDegress(longit)
if "GPSLatitudeRef" in gpsData:
latRef = gpsData["GPSLatitudeRef"]
if "GPSLongitudeRef" in gpsData:
longitRef = gpsData["GPSLongitudeRef"]
if latRef is not None and latRef != "N":
lat = 0 - lat
if longitRef is not None and longitRef != "E":
longit = 0 - longit
return lat,longit
def get_gps_details(img):
"""Function for extracting GPS data from image
Args:
img (.jpeg / .png et al.): an image file
Returns:
Dictionary with following key: value pairs:
'GPSLatitudeRef': str = 'N' or 'S'
'GPSLatitude': tuple of tuples,
'GPSLongitudeRef': str = 'E' or 'W',
'GPSLongitude': tuple of tuples,
'GPSAltitudeRef': byte string,
'GPSAltitude': tuple,
'GPSTimeStamp': tuple of tuples,
'GPSSpeedRef': str,
'GPSSpeed': tuple,
'GPSImgDirectionRef': str,
'GPSImgDirection': tuple,
'GPSDestBearingRef': str,
'GPSDestBearing': tuple,
'GPSDateStamp': str representing datetime,
'GPSHPositioningError': tuple}
"""
gpsinfo = {}
exif = {TAGS[k]: v for k, v in img._getexif().items() if k in TAGS}
for item in exif['GPSInfo'].keys():
name = GPSTAGS.get(item, item)
gpsinfo[name] = exif['GPSInfo'][item]
return gpsinfo
def PIL_exif_data_GPS(filename):
if magic.from_file(filename, mime=True) == "image/jpeg":
print("Extraction of GPS data from: %s" % (filename, ))
image = Image.open(filename)
exif_data = {}
exif = image._getexif()
latitude = None
longitude = None
if exif:
for tag, value in exif.items():
decoded = TAGS.get(tag, tag)
if decoded == "GPSInfo":
gps_data = {}
for t in value:
sub_decoded = GPSTAGS.get(t, t)
gps_data[sub_decoded] = value[t]
exif_data[decoded] = gps_data
else:
exif_data[decoded] = value
if "GPSInfo" in exif_data:
gps_info = exif_data["GPSInfo"]
gps_longitude = None
gps_latitude = None
if "GPSLatitude" in gps_info:
gps_latitude = gps_info["GPSLatitude"]
if "GPSLatitudeRef" in gps_info:
gps_latitude_ref = gps_info["GPSLatitudeRef"]
if "GPSLongitude" in gps_info:
gps_longitude = gps_info["GPSLongitude"]
if "GPSLongitudeRef" in gps_info:
gps_longitude_ref = gps_info["GPSLongitudeRef"]
if gps_latitude and gps_latitude_ref and gps_longitude and gps_longitude_ref:
latitude = helper.to_degress(gps_latitude)
if gps_latitude_ref != "N":
latitude = 0 - latitude
longitude = helper.to_degress(gps_longitude)
if gps_longitude_ref != "E":
longitude = 0 - longitude
helper.sqlite_insert("Parsed_GPS_Latitude", str(latitude),
os.path.basename(filename))
helper.sqlite_insert("Parsed_GPS_Langitude", str(longitude),
os.path.basename(filename))
try:
if latitude != None and longitude != None:
geolocator = Nominatim(user_agent="imago-forensics")
ls = str(latitude) + "," + str(longitude)
location = geolocator.reverse(ls)
address = location.raw["address"]
for a in address.keys():
helper.sqlite_insert(a, str(address[a]),
os.path.basename(filename))
except:
print "Problem during geopy decode"
return latitude, longitude
else:
print "GPS works only with JPEG"
return None
def extract(self, filepath):
fd = Image.open(filepath)
exif = fd._getexif() # raw exif
gps = {} # raw undecoded gps
results = {}
if exif:
for (k, v) in exif.items():
results[TAGS.get(k, k)] = v
if exif and ExifExtract.GPSINFO in exif:
for t in exif[ExifExtract.GPSINFO]:
sub_decoded = GPSTAGS.get(t, t)
gps[sub_decoded] = exif[ExifExtract.GPSINFO][t]
if 'GPSLatitude' in gps and 'GPSLatitudeRef' in gps and 'GPSLongitude' in gps and 'GPSLongitudeRef' in gps:
lat_deg = self._to_degrees(gps['GPSLatitude'])
if 'N' is not gps['GPSLatitudeRef']:
lat_deg *= -1
lng_deg = self._to_degrees(gps['GPSLongitude'])
if 'E' is not gps['GPSLongitudeRef']:
lng_deg *= -1
results['GPS'] = {
'longitude': lng_deg,
'latitude': lat_deg
}
return results
def get_exif_data(image):
"""Returns a dictionary from the exif data of a PIL Image item. Also converts the GPS Tags"""
exif_data = {}
print "BEFORE"
info = image._getexif()
# print image
# info = image.tag.tags
print "AFTER"
if info:
"IN INFO"
for tag, value in info.items():
decoded = TAGS.get(tag, tag)
print tag
if decoded == "GPSInfo":
gps_data = {}
for t in value:
sub_decoded = GPSTAGS.get(t, t)
gps_data[sub_decoded] = value[t]
exif_data[decoded] = gps_data
else:
exif_data[decoded] = value
return exif_data
def show_geodata_for_image(imageSrc, imageFilePath):
"""
Searches for GPS data in the image and shows it if found and valid.
"""
exitData = {}
try:
imageFile = Image.open(imageFilePath)
info = imageFile._getexif()
except:
return
if info:
for (tag, value) in info.items():
decoded = TAGS.get(tag, tag)
if decoded == 'GPSInfo':
gpsData = {}
for t in value:
decodedGps = GPSTAGS.get(t, t)
gpsData[decodedGps] = value[t]
if 'GPSLatitude' in gpsData and 'GPSLatitudeRef' in gpsData and 'GPSLongitude' in gpsData and 'GPSLongitudeRef' in gpsData:
latitude = convert_to_degrees(gpsData['GPSLatitude'])
if gpsData['GPSLatitudeRef'] != 'N':
latitude = 0 - latitude
longitude = convert_to_degrees(gpsData['GPSLongitude'])
if gpsData['GPSLongitude'] != 'E':
longitude = 0 - longitude
if latitude !=0 and longitude != 0:
print 'GPS data for %s: latitude=%f%s, longitude=%f%s' % (imageSrc, latitude, gpsData['GPSLatitudeRef'], longitude, gpsData['GPSLongitudeRef'])
break
def get_exif_data(filename):
"""Return a dict with the raw EXIF data."""
logger = logging.getLogger(__name__)
if PIL.PILLOW_VERSION == '3.0.0':
warnings.warn('Pillow 3.0.0 is broken with EXIF data, consider using '
'another version if you want to use EXIF data.')
img = _read_image(filename)
try:
exif = img._getexif() or {}
except ZeroDivisionError:
logger.warning('Failed to read EXIF data.')
return None
data = {TAGS.get(tag, tag): value for tag, value in exif.items()}
if 'GPSInfo' in data:
try:
data['GPSInfo'] = {
GPSTAGS.get(tag, tag): value
for tag, value in data['GPSInfo'].items()
}
except AttributeError:
logger = logging.getLogger(__name__)
logger.info('Failed to get GPS Info')
del data['GPSInfo']
return data
def get_geotagging(exif):
"""Retrieve GPS tags from EXIF
Args:
exif (object): EXIF object
Raises:
ValueError: if no EXIF data found
ValueError: if no EXIF geotagging data found
Returns:
dict: Dictionary of EXIF tags
"""
if not exif:
raise ValueError("No EXIF metadata found")
geotagging = {}
for (idx, tag) in TAGS.items():
if tag == 'GPSInfo':
if idx not in exif:
raise ValueError("No EXIF geotagging found")
for (key, val) in GPSTAGS.items():
if key in exif[idx]:
geotagging[val] = exif[idx][key]
return geotagging
def get_exif_data(image):
"""Returns a dictionary from the exif data of an PIL Image
item. Also converts the GPS Tags"""
exif_data = {}
try:
info = image._getexif()
except OverflowError as e:
if e.message == "cannot fit 'long' into an index-sized integer":
# Error in PIL when exif data is corrupt.
return None
else:
raise e
# except struct.error as e:
# if e.message == "unpack requires a string argument of length 2":
# # Error in PIL when exif data is corrupt.
# return None
# else:
# raise e
if info:
for tag, value in list(info.items()):
decoded = TAGS.get(tag, tag)
if decoded == "GPSInfo":
gps_data = {}
for t in value:
sub_decoded = GPSTAGS.get(t, t)
gps_data[sub_decoded] = value[t]
exif_data[decoded] = gps_data
else:
exif_data[decoded] = value
return exif_data
def get_exif_data(filename):
"""Return a dict with the raw EXIF data."""
logger = logging.getLogger(__name__)
if PIL.PILLOW_VERSION == '3.0.0':
warnings.warn('Pillow 3.0.0 is broken with EXIF data, consider using '
'another version if you want to use EXIF data.')
img = PILImage.open(filename)
try:
exif = img._getexif() or {}
except ZeroDivisionError:
logger.warning('Failed to read EXIF data.')
return None
data = {TAGS.get(tag, tag): value for tag, value in exif.items()}
if 'GPSInfo' in data:
try:
data['GPSInfo'] = {GPSTAGS.get(tag, tag): value
for tag, value in data['GPSInfo'].items()}
except AttributeError:
logger = logging.getLogger(__name__)
logger.info('Failed to get GPS Info')
del data['GPSInfo']
return data
def get_exif_data(filename):
"""Return a dict with the raw EXIF data."""
logger = logging.getLogger(__name__)
img = _read_image(filename)
try:
exif = img._getexif() or {}
except ZeroDivisionError:
logger.warning('Failed to read EXIF data.')
return None
data = {TAGS.get(tag, tag): value for tag, value in exif.items()}
if 'GPSInfo' in data:
try:
data['GPSInfo'] = {
GPSTAGS.get(tag, tag): value
for tag, value in data['GPSInfo'].items()
}
except AttributeError:
logger = logging.getLogger(__name__)
logger.info('Failed to get GPS Info')
del data['GPSInfo']
return data
def get_exif_header(image):
"""Returns a dictionary from the exif header of an PIL Image. Also converts the GPS Tags.
Args:
image:
"""
try:
info = image._getexif()
except:
raise gserror.EmptyExifHeaderError('could not found the exif header')
if not info:
raise gserror.EmptyExifHeaderError('empty exif header')
exif_header = {}
for tag, value in info.items():
tag_id = TAGS.get(tag, tag)
if tag_id == __EXIF_GPS_INFO:
gps_info = {}
for t in value:
gps_tag_id = GPSTAGS.get(t, t)
gps_info[gps_tag_id] = value[t]
exif_header[tag_id] = gps_info
else:
exif_header[tag_id] = value
return exif_header
def getGeoposition(self):
def _convert_to_degress(value):
d = float(value[0][0])/float(value[0][1])
m = float(value[1][0])/float(value[1][1])
s = float(value[2][0])/float(value[2][1])
return d + (m / 60.0) + (s / 3600.0)
gp = self.extinfo.get('GPSInfo',None)
if gp is None:
return None,None
gpsinfo = {}
for k in gp.keys():
decoded = GPSTAGS.get(k,k)
gpsinfo[decoded] = gp[k]
lat = None
lon = None
gps_latitude =gpsinfo.get('GPSLatitude')
gps_latitude_ref = gpsinfo.get('GPSLatitudeRef')
gps_longitude = gpsinfo.get('GPSLongitude')
gps_longitude_ref = gpsinfo.get('GPSLongitudeRef')
if gps_latitude and gps_latitude_ref and gps_longitude and gps_longitude_ref:
lat = _convert_to_degress(gps_latitude)
if gps_latitude_ref != 'N':
lat = 0 - lat
lon = _convert_to_degress(gps_longitude)
if gps_longitude_ref != 'E':
lon = 0 - lon
return lat, lon
def readExif(exif):
data = {}
exif_data = {}
gps_data = {}
if exif is None:
return data
for k,v in exif.items():
if k in tag_name_to_id:
data[tag_name_to_id[k]] = v
decoded = TAGS.get(k, k)
if decoded == "GPSInfo":
for t in v:
sub_decoded = GPSTAGS.get(t, t)
gps_data[sub_decoded] = v[t]
exif_data[decoded] = gps_data
else:
exif_data[decoded] = v
#else:
# data[k] = v
data['GPSInfo'] = gps_data
# These fields are in UCS2/UTF-16, convert to something usable within python
for k in ['XPTitle', 'XPComment', 'XPAuthor', 'XPKeywords', 'XPSubject']:
if k in data:
data[k] = data[k].decode('utf-16').rstrip('\x00')
print data
return data
def get_exif(filename):
"""Extrait les informations numériques EXIF d'une image. Les données brutes
sont aussi décryptée.
Parameters
----------
filename : str
Nom du fichier à partir duquel charger l'image.
Returns
-------
exif : dict
Données EXIF partiellement décryptées.
"""
# Ouverture du fichier image
exif = Image.open(filename)._getexif()
if exif is not None:
for key, value in copy.deepcopy(exif).items():
name = TAGS.get(key, key)
exif[name] = exif.pop(key)
if 'GPSInfo' in exif:
for key in copy.deepcopy(exif['GPSInfo']).keys():
name = GPSTAGS.get(key, key)
exif['GPSInfo'][name] = exif['GPSInfo'].pop(key)
else:
print("Pas d'information de géolocalisation dans cette image.")
return exif
def show_geodata_for_image(imageSrc, imageFilePath):
"""
Searches for GPS data in the image and shows it if found and valid.
"""
exitData = {}
try:
imageFile = Image.open(imageFilePath)
info = imageFile._getexif()
except:
return
if info:
for (tag, value) in info.items():
decoded = TAGS.get(tag, tag)
if decoded == 'GPSInfo':
gpsData = {}
for t in value:
decodedGps = GPSTAGS.get(t, t)
gpsData[decodedGps] = value[t]
if 'GPSLatitude' in gpsData and 'GPSLatitudeRef' in gpsData and 'GPSLongitude' in gpsData and 'GPSLongitudeRef' in gpsData:
latitude = convert_to_degrees(gpsData['GPSLatitude'])
if gpsData['GPSLatitudeRef'] != 'N':
latitude = 0 - latitude
longitude = convert_to_degrees(gpsData['GPSLongitude'])
if gpsData['GPSLongitude'] != 'E':
longitude = 0 - longitude
if latitude != 0 and longitude != 0:
print 'GPS data for %s: latitude=%f%s, longitude=%f%s' % (
imageSrc, latitude, gpsData['GPSLatitudeRef'],
longitude, gpsData['GPSLongitudeRef'])
break
def get_exif_data(filename):
"""Return a dict with the raw EXIF data."""
logger = logging.getLogger(__name__)
img = _read_image(filename)
try:
with warnings.catch_warnings(record=True) as caught_warnings:
exif = img._getexif() or {}
except ZeroDivisionError:
logger.warning('Failed to read EXIF data.')
return None
for w in caught_warnings:
fname = (filename.filename
if isinstance(filename, PILImage.Image) else filename)
logger.warning(f'PILImage reported a warning for file {fname}\n'
f'{w.category}: {w.message}')
data = {TAGS.get(tag, tag): value for tag, value in exif.items()}
if 'GPSInfo' in data:
try:
data['GPSInfo'] = {
GPSTAGS.get(tag, tag): value
for tag, value in data['GPSInfo'].items()
}
except AttributeError:
logger.info('Failed to get GPS Info')
del data['GPSInfo']
return data
def ExtractGPSDictionary(fileName):
try:
pilImage = Image.open(fileName)
exifData = pilImage._getexif()
except Exception:
# If exception occurs from PIL processing
# Report the
return None, None
# Interate through the exifData
# Searching for GPS Tags
imageTimeStamp = "NA"
cameraModel = "NA"
cameraMake = "NA"
gpsData = False
gpsDictionary = {}
if exifData:
for tag, theValue in exifData.items():
# obtain the tag
tagValue = TAGS.get(tag, tag)
# Collect basic image data if available
if tagValue == 'DateTimeOriginal':
imageTimeStamp = exifData.get(tag)
if tagValue == "Make":
cameraMake = exifData.get(tag)
if tagValue == 'Model':
cameraModel = exifData.get(tag)
# check the tag for GPS
if tagValue == "GPSInfo":
gpsData = True
# Found it !
# Now create a Dictionary to hold the GPS Data
# Loop through the GPS Information
for curTag in theValue:
gpsTag = GPSTAGS.get(curTag, curTag)
gpsDictionary[gpsTag] = theValue[curTag]
basicExifData = [imageTimeStamp, cameraMake, cameraModel]
return gpsDictionary, basicExifData
if gpsData == False:
return None, None
else:
return None, None
def pull_exif(self, location):
"""Pull exif data from an image.
Args:
location (str):
Filepath to the image.
Returns:
Exif data of the image.
"""
image = Image.open(location)
exif_data = dict()
info = image._getexif()
if info:
for key, value in info.items():
name = TAGS.get(key, key)
if name == 'GPSInfo':
gps = dict()
for subvalue in value:
nested = GPSTAGS.get(subvalue, subvalue)
gps[nested] = value[subvalue]
exif_data[name] = gps
else:
exif_data[name] = value
return exif_data
def build_gps_dict(self):
raw_values = {}
for tag, value in self.exif.items():
if TAGS.get(tag, tag) == "GPSInfo":
raw_values = value
if not raw_values:
raise self.Invalid("GPSInfo not found in exif")
gps_dict = {
GPSTAGS.get(tag, tag): raw_values[tag]
for tag in raw_values
}
# validation
missing_keys = [
key for key in (
"GPSLatitudeRef",
"GPSLongitudeRef",
"GPSLatitude",
"GPSLongitude",
) if key not in gps_dict
]
if missing_keys:
raise self.Invalid(
f"{','.join(missing_keys)} missing from GPS dict")
return gps_dict
def get_coordinates(photo):
image = Image.open(photo)
#print(photo.filename) iphone2.JPG
image.verify()
if not image._getexif():
return (ValueError("No EXIF metadata found"))
# raise ValueError("No EXIF metadata found")
exif = image._getexif()
#print(exif)
geotags = {}
for (idx, tag) in TAGS.items():
if tag == 'GPSInfo':
if idx not in exif:
return (ValueError("No EXIF geotagging found"))
# raise ValueError("No EXIF geotagging found")
for (key, val) in GPSTAGS.items():
if key in exif[idx]:
geotags[val] = exif[idx][key]
coordinates = []
for i in [[geotags['GPSLatitude'], geotags['GPSLatitudeRef']],
[geotags['GPSLongitude'], geotags['GPSLongitudeRef']]]:
degrees = i[0][0][0] / i[0][0][1]
minutes = i[0][1][0] / i[0][1][1] / 60.0
seconds = i[0][2][0] / i[0][2][1] / 3600.0
if i[1] in ['S', 'W']:
degrees = -degrees
minutes = -minutes
seconds = -seconds
coordinates.append(round(degrees + minutes + seconds, 3))
return tuple(coordinates)
def get_coordinates(self):
"""Get latitude and longitude from geo tags
:param self:
:return: latitude and longitude
"""
if not self.exif:
raise ValueError('No EXIF metadata found for ' + self.image_path)
geotagging = {}
for (idx, tags) in TAGS.items():
if tags == 'GPSInfo':
if idx not in self.exif:
raise ValueError('No EXIF geotagging found for ' +
self.image_path)
for (key, val) in GPSTAGS.items():
if key in self.exif[idx]:
geotagging[val] = self.exif[idx][key]
lat = self.get_decimal_from_dms(geotagging['GPSLatitude'],
geotagging['GPSLatitudeRef'])
lon = self.get_decimal_from_dms(geotagging['GPSLongitude'],
geotagging['GPSLongitudeRef'])
return lat, lon
def ExtractGPSDictionary(fileName):
try:
pilImage = Image.open(fileName)
exifData = pilImage._getexif()
except Exception:
# If exception occurs from PIL processing
# Report the
return None, None
# Interate through the exifData
# Searching for GPS Tags
imageTimeStamp = "NA"
cameraModel = "NA"
cameraMake = "NA"
gpsData = False
gpsDictionary = {}
if exifData:
for tag, theValue in exifData.items():
# obtain the tag
tagValue = TAGS.get(tag, tag)
# Collect basic image data if available
if tagValue == 'DateTimeOriginal':
imageTimeStamp = exifData.get(tag)
if tagValue == "Make":
cameraMake = exifData.get(tag)
if tagValue == 'Model':
cameraModel = exifData.get(tag)
# check the tag for GPS
if tagValue == "GPSInfo":
gpsData = True;
# Found it !
# Now create a Dictionary to hold the GPS Data
# Loop through the GPS Information
for curTag in theValue:
gpsTag = GPSTAGS.get(curTag, curTag)
gpsDictionary[gpsTag] = theValue[curTag]
basicExifData = [imageTimeStamp, cameraMake, cameraModel]
return gpsDictionary, basicExifData
if gpsData == False:
return None, None
else:
return None, None
def get_exif_data(image):
'''
EXIF data is stored data in an image file that includes the date the photo was taken, resolution, shutter speed, focal length, and other camera settings.
Getting the EXIF data for an image results in a dictionary indexed by EXIF numeric tags.
'''
info = image._getexif()
# If there is no exif data then return None
if (info is None):
return info
exif_data = {}
# For the different tags and value we got from our exif data
# Let's get GPSInfo and other required value which we will use
for tag, value in info.items():
# Getting the required data from the dictionary
decoded = TAGS.get(tag, tag)
# Pulling out the GPS specific tags
if (decoded == "GPSInfo"):
gps_data = {}
for t in value:
sub_decoded = GPSTAGS.get(t, t)
gps_data[sub_decoded] = value[t]
exif_data[decoded] = gps_data
else:
exif_data[decoded] = value
return exif_data
def get_gps(exif_info):
gps = {}
# EXIF情報 に GPSInfo タグが含まれているときに処理
if 'GPSInfo' in exif_info:
# EXIF情報から GPS情報を取り出す
gps_tags = exif_info['GPSInfo']
# GPS情報を辞書に格納する
for t in gps_tags:
gps[GPSTAGS.get(t,t)] = gps_tags[t]
# 緯度/経度のタグがあることを確認した上で処理する
is_lati = gps['GPSLatitude']
is_lati_ref = gps['GPSLatitudeRef']
is_longi = gps['GPSLongitude']
is_longi_ref = gps['GPSLongitudeRef']
if is_lati and is_lati_ref and is_longi and is_longi_ref:
# 緯度/経度ダグを度分秒(DMS)形式に変換する
lati = format_DMS(is_lati_ref, is_lati)
longi = format_DMS(is_longi_ref, is_longi)
return f'{lati} {longi}'
else:
return print('このファイルには緯度/経度の情報がありません。')
else:
return print('このファイルにはGPS情報がありません。')
def get_exif_data(image):
"""Returns a dictionary from the exif data of an PIL Image item. Also converts the GPS Tags"""
exif_data = {}
try:
info = image._getexif()
if info:
for tag, value in info.items():
decoded = TAGS.get(tag, tag)
### GPS
if decoded == "GPSInfo":
gps_data = {}
for t in value:
sub_decoded = GPSTAGS.get(t, t)
gps_data[sub_decoded] = value[t]
exif_data[decoded] = gps_data
### Picture Taken Time
if decoded == 'DateTime':
exif_data[decoded] = value
except Exception:
print("There is no EXIF INFO")
return exif_data
def test_picture_(self):
image2 = Image.open("./test1.jpg")
exif = image2._getexif()
if exif is not None:
for key, value in exif.items():
name = TAGS.get(key, key)
exif[name] = exif.pop(key)
if 'GPSInfo' in exif:
for key in exif['GPSInfo'].keys():
name = GPSTAGS.get(key, key)
exif['GPSInfo'][name] = exif['GPSInfo'].pop(key)
info = exif['GPSInfo']
print(info)
for key in ['Latitude', 'Longitude']:
if 'GPS' + key in info and 'GPS' + key + 'Ref' in info:
e = info['GPS' + key]
ref = info['GPS' + key + 'Ref']
info[key] = (e[0][0] / e[0][1] + e[1][0] / e[1][1] / 60 +
e[2][0] / e[2][1] / 3600) * (
-1 if ref in ['S', 'W'] else 1)
if 'Latitude' in info and 'Longitude' in info:
coord = [info['Latitude'], info['Longitude']]
print('coord', coord, type(coord), type(coord[0]),
type(coord[1]))
return self.get_coordonate(coord)
def get_exif_data(image):
"""Return a dict from the exif data of a PIL Image and convert the GPS
tags.
"""
exif_data = {}
info = image._getexif()
if info:
for tag, value in info.items():
decoded = TAGS.get(tag, tag)
if decoded == "GPSInfo":
gps_data = {}
for gps_tag in value:
sub_decoded = GPSTAGS.get(gps_tag, gps_tag)
gps_data[sub_decoded] = value[gps_tag]
exif_data[decoded] = gps_data
else:
exif_data[decoded] = value
return exif_data
def _extract_gpsinfo(values):
lat = None
lon = None
altitude = None
gps_data = {}
for t in values:
sub_decoded = GPSTAGS.get(t, t)
gps_data[sub_decoded] = values[t]
gps_lat = _get_if_exist(gps_data, "GPSLatitude")
gps_lat_ref = _get_if_exist(gps_data, 'GPSLatitudeRef')
gps_lon = _get_if_exist(gps_data, 'GPSLongitude')
gps_lon_ref = _get_if_exist(gps_data, 'GPSLongitudeRef')
if gps_lat and gps_lat_ref and gps_lon and gps_lon_ref:
lat = _convert_to_degress(gps_lat)
if gps_lat_ref != "N":
lat = 0 - lat
lon = _convert_to_degress(gps_lon)
if gps_lon_ref != "E":
lon = 0 - lon
altitude = _get_if_exist(gps_data, 'GPSAltitude')
if altitude:
altitude = _frac_to_float(altitude)
return (lat, lon, altitude, gps_data)
def get_gps_info(self, tag=34853):
temp = self.get_by_tag_num(tag)
GPSDict = {}
for key in temp.keys():
GPStag = GPSTAGS.get(key, key)
GPSDict[GPStag] = self.exif_data[tag][key]
return GPSDict
def get_exif_info():
img_file = 'osaka.jpg'
img = Image.open(img_file)
# _getexif 메소드를 사용해서, 이미지 속성을 담고 있는 사전 객체를 반환 받습니다.
# 반환 값이 None 이면, 이 사진은 EXIF 정보를 가지고 있지 않은 것입니다.
exif = img._getexif()
if exif is None:
print('There are no exif information in the photo.')
return
exif_data = {}
for tag_id, tag_value in exif.items():
# TAGS 사전에서 tag_id 로 값을 조회하고, 값이 없는 경우 tag_id 를 반환합니다.
tag = TAGS.get(tag_id, tag_id)
# tag 의 정보가 GPSInfo 라면, GPSTAGS 사전에서 다시 정보를 검색합니다.
if tag == 'GPSInfo':
gps_data = {}
for gps_id in tag_value:
gps_tag = GPSTAGS.get(gps_id, gps_id)
gps_data[gps_tag] = tag_value[gps_id]
exif_data[tag] = gps_data
else:
exif_data[tag] = tag_value
return exif_data
def getLocationAsDict(pfnImage):
img = Image.open(pfnImage)
exif = img._getexif() or {}
gps_tag_dec = 34853
gps_dict = exif.get(gps_tag_dec, None)
gpsinfo = {}
if gps_dict is not None:
for key in gps_dict.keys():
decode = GPSTAGS.get(key, key)
gps_value = gps_dict.get(key, None)
if decode == 'GPSTimeStamp':
gps_value = _gps_process_time_tuple(gps_value)
if isinstance(gps_value, tuple):
gps_value = _gps_tuple_processing(gps_value)
if isinstance(gps_value, bytes):
gps_value = gps_value.decode('utf-8')
#print("tag: {} value: {} type of value: {}".format(
# decode, gps_value, type(gps_value)))
gpsinfo[decode] = gps_value
gpsinfo['error'] = 'Location Exif header not found in image'
return gpsinfo
def _get_exif_data(self, image):
"""Returns a dictionary from the exif data of an PIL Image item.
Also converts the GPS Tags"""
exif_data = {}
try:
info = image._getexif()
except AttributeError:
return exif_data
except IndexError:
return exif_data
if info:
for tag, value in info.items():
decoded = TAGS.get(tag, tag)
if decoded == "GPSInfo":
gps_data = {}
for t in value:
sub_decoded = GPSTAGS.get(t, t)
gps_data[sub_decoded] = value[t]
exif_data[decoded] = gps_data
else:
exif_data[decoded] = value
return exif_data
def get_exif_data(image):
"""Returns a dictionary from the exif data of an PIL Image item. Also converts the GPS Tags"""
info = image._getexif()
if not info:
return {}
exif_data = {TAGS.get(tag, tag): value for tag, value in info.items()}
def is_fraction(val):
return isinstance(val, tuple) and len(val) == 2 and isinstance(
val[0], int) and isinstance(val[1], int)
def frac_to_dec(frac):
return float(frac[0]) / float(frac[1])
if "GPSInfo" in exif_data:
gpsinfo = {
GPSTAGS.get(t, t): v
for t, v in exif_data["GPSInfo"].items()
}
for tag, value in gpsinfo.items():
if is_fraction(value):
gpsinfo[tag] = frac_to_dec(value)
elif all(is_fraction(x) for x in value):
gpsinfo[tag] = tuple(map(frac_to_dec, value))
exif_data["GPSInfo"] = gpsinfo
return exif_data
def get_lat_lng(filename):
data = {}
im = Image.open(filename)
info = im._getexif()
if info:
for tag, value in info.items():
decoded = TAGS.get(tag, tag)
if decoded == "GPSInfo":
gps = {}
for t in value:
sub_decoded = GPSTAGS.get(t, t)
gps[sub_decoded] = value[t]
data[decoded] = gps
else:
data[decoded] = value
lat = None
lng = None
if "GPSInfo" in data:
gps = data["GPSInfo"]
gps_lat = get_if_exist(gps, "GPSLatitude")
gps_lat_r = get_if_exist(gps, "GPSLatitudeRef")
gps_lng = get_if_exist(gps, "GPSLongitude")
gps_lng_r = get_if_exist(gps, "GPSLongitudeRef")
if gps_lat and gps_lng_r and gps_lng and gps_lng_r:
lat = convert_deg(gps_lat)
if gps_lat_r != "N":
lat = 0 - lat
lng = convert_deg(gps_lng)
if gps_lng_r != "E":
lng = 0 - lng
return lat, lng
def get_exif(fn):
exif_dict = {}
img = Image.open(fn)
info = img._getexif()
#iterate through all exif data
for tag, value in info.items():
decoded = TAGS.get(tag, tag)
#format geo data
if decoded == "GPSInfo":
gps_data = {}
for t in value:
sub_decoded = GPSTAGS.get(t, t)
gps_data[sub_decoded] = value[t]
exif_dict["Latitude"] = convert_2_degrees(gps_data["GPSLatitude"])
exif_dict["Longitude"] = convert_2_degrees(
gps_data["GPSLongitude"])
#format datetime data
elif decoded == "DateTimeOriginal":
exif_dict["Datetime"] = datetime.datetime.strptime(
value, "%Y:%m:%d %H:%M:%S")
exif_dict["Date_String"] = exif_dict["Datetime"].strftime(
"%d. %b. %y")
exif_dict["Time_String"] = exif_dict["Datetime"].strftime("%H:%M")
# else:
# exif_dict[decoded]=value
return exif_dict
def ExtractGPSDictionary(fileName):
#open the image file using PIL
try:
pilImage = Image.open(fileName)
EXIFData = pilImage._getexif()
except:
return None, None
# set default values for some image attributes
imageTimeStamp = "NA"
cameraModel = "NA"
cameraMake = "NA"
if EXIFData: # this will be a true statement as long as EXIFData does not return 'None"
gpsDictionary = {} # the dictionary we'll construct
# iterate through the exif dictionary.
for tag, value in EXIFData.items():
# look up the English name for the tag in TAGS.
tagName = TAGS.get(tag, tag)
if tagName == 'DateTimeOriginal':
imageTimeStamp = value
if tagName == 'Make':
cameraMake = value
if tagName == 'Model':
cameraModel = value
if tagName == 'GPSInfo': # found the GPS dictionary
for gpsTag in value:
gpsTagName = GPSTAGS.get(gpsTag, gpsTag)
gpsDictionary[gpsTagName] = value[gpsTag]
# the book returns here..
basicEXIFData = [imageTimeStamp, cameraMake, cameraModel]
return gpsDictionary, basicEXIFData
else:
return None, None,
def get_exif_data(filename):
"""Return a dict with the raw EXIF data."""
img = PILImage.open(filename)
exif = img._getexif() or {}
data = {TAGS.get(tag, tag): value for tag, value in exif.items()}
if "GPSInfo" in data:
data["GPSInfo"] = {GPSTAGS.get(tag, tag): value for tag, value in data["GPSInfo"].items()}
return data
def get_gps(f):
gps_data = {}
i = Image.open(f)
info = i._getexif()
for tag, value in info.items():
decoded = TAGS.get(tag, tag)
if decoded == "GPSInfo":
for t in value:
sub_decoded = GPSTAGS.get(t, t)
gps_data[sub_decoded] = value[t]
return gps_data
def interpretGPS(gpsTag): gpsInfo = dict() try: for key in gpsTag.keys(): decoded = GPSTAGS.get(key,key) gpsInfo[decoded] = gpsTag[key] return gpsInfo except: return None
def get_gps_lat_long_compass(path_image):
image = Image.open(path_image)
try:
info = image._getexif()
except Exception as e:
print(e)
if info:
exif_data = {}
for tag, value in list(info.items()):
decoded = TAGS.get(tag, tag)
if decoded == "GPSInfo":
gps_data = {}
for t in value:
sub_decoded = GPSTAGS.get(t, t)
gps_data[sub_decoded] = value[t]
exif_data[decoded] = gps_data
else:
exif_data[decoded] = value
exif_data_gpsInfo = exif_data.get('GPSInfo')
if not exif_data_gpsInfo:
raise ValueError("No GPS metadata found.")
try:
lat = exif_data_gpsInfo['GPSLatitude']
except Exception as ex:
erro = 1
try:
long = exif_data_gpsInfo['GPSLongitude']
except Exception as ex:
erro = 1
try:
if lat and int:
lat = round(float(lat[0][0]) / float(lat[0][1]) + float(lat[1][0]) / float(lat[1][1]) / 60.0 + float(
lat[2][0]) / float(lat[2][1]) / 3600.0, 4)
long = round(
float(long[0][0]) / float(long[0][1]) + float(long[1][0]) / float(long[1][1]) / 60.0 + float(
long[2][0]) / float(long[2][1]) / 3600.0, 4)
if exif_data_gpsInfo['GPSLatitudeRef'] == 'S':
lat = 0 - lat
if exif_data_gpsInfo['GPSLongitudeRef'] == 'W':
long = 0 - long
except Exception as ex:
erro = 1
try:
compas = exif_data_gpsInfo['GPSImgDirection']
compas = compas[0] / compas[1]
except Exception:
try:
compas = exif_data_gpsInfo['GPSTrack']
compas = compas[0] / compas[1]
except Exception:
compas = -1
return lat, long, compas
def decode_gps(self, gps_field):
gpsinfo = dict((GPSTAGS.get(k, k), v) for k, v in gps_field.iteritems())
for field in ('GPSLatitudeRef', 'GPSLatitude', 'GPSLatitudeRef', 'GPSLongitude'):
assert field in gpsinfo, 'failed to find field %s: %r' % (field, gpsinfo)
assert gpsinfo['GPSLatitudeRef'] in 'NS'
assert gpsinfo['GPSLongitudeRef'] in 'EW'
lat = self.decode_gps_ref(gpsinfo['GPSLatitude'])
if gpsinfo['GPSLatitudeRef'] == 'S':
lat *= -1
lng = self.decode_gps_ref(gpsinfo['GPSLongitude'])
if gpsinfo['GPSLongitudeRef'] == 'W':
lng *= -1
return lat, lng, geohash.encode(lat, lng, precision=db.GEOHASH_PRECISION)
def _get_exif_data(filename):
img = PILImage.open(filename)
exif = img._getexif() or {}
data = dict((TAGS.get(t, t), v) for (t, v) in exif.items())
if 'GPSInfo' in data:
gps_data = {}
for tag in data['GPSInfo']:
gps_data[GPSTAGS.get(tag, tag)] = data['GPSInfo'][tag]
data['GPSInfo'] = gps_data
return data
def get_exif_data(filename):
"""Return a dict with the raw EXIF data."""
img = PILImage.open(filename)
exif = img._getexif() or {}
data = {TAGS.get(tag, tag): value for tag, value in exif.items()}
if "GPSInfo" in data:
try:
data["GPSInfo"] = {GPSTAGS.get(tag, tag): value for tag, value in data["GPSInfo"].items()}
except AttributeError:
logger = logging.getLogger(__name__)
logger.info("Failed to get GPS Info", exc_info=True)
del data["GPSInfo"]
return data
def get_exif_data(image):
exif_data = {}
info = image._getexif()
if info:
for tag, value in info.items():
decoded = TAGS.get(tag, tag)
if decoded == "GPSInfo":
gps_data = {}
for gps_tag in value:
sub_decoded = GPSTAGS.get(gps_tag, gps_tag)
gps_data[sub_decoded] = value[gps_tag]
exif_data[decoded] = gps_data
else:
exif_data[decoded] = value
return exif_data
def _get_exif_data(filename):
"""Return a dict with EXIF data."""
img = PILImage.open(filename)
exif = img._getexif() or {}
data = dict((TAGS.get(t, t), v) for (t, v) in exif.items())
if "GPSInfo" in data:
gps_data = {}
for tag in data["GPSInfo"]:
gps_data[GPSTAGS.get(tag, tag)] = data["GPSInfo"][tag]
data["GPSInfo"] = gps_data
return data
def getGpsData(self, gpsValue = None):
if (gpsValue == None):
gpsTag = self.searchExifKey(34853)
if (gpsTag != None):
gpsValue = gpsTag[2]
if (gpsValue != None):
gps_data = {}
for t in gpsValue:
sub_decoded = GPSTAGS.get(t, t)
gps_data[sub_decoded] = gpsValue[t]
return gps_data
else:
self.log.debug("Did not find GPS data in EXIF data.")
return None
def get_exif(image):
"""Returns a dictionary from the exif data of an PIL Image item. Also converts the GPS Tags"""
exif_data = {}
info = image._getexif()
if info:
for tag, value in info.items():
decoded = TAGS.get(tag, tag)
if decoded == "GPSInfo":
gps_data = {}
for t in value:
sub_decoded = GPSTAGS.get(t, t)
gps_data[sub_decoded] = value[t]
exif_data[decoded] = gps_data
else:
exif_data[decoded] = value
return exif_data
def get_exif_data(filename):
"""Return a dict with the raw EXIF data."""
logger = logging.getLogger(__name__)
img = PILImage.open(filename)
exif = img._getexif() or {}
data = {TAGS.get(tag, tag): value for tag, value in exif.items()}
if 'GPSInfo' in data:
try:
data['GPSInfo'] = {GPSTAGS.get(tag, tag): value
for tag, value in data['GPSInfo'].items()}
except AttributeError as e:
logger.debug("No valid GPSInfo data found for %s" % filename)
del data['GPSInfo']
return data
def _set_exif_gps_data(self, gpsinfo):
def _get_if_exist(data, key):
if key in data:
return data[key]
return None
def _convert_to_degress(value):
"""Helper function to convert the GPS coordinates stored in the EXIF to degress in float format"""
d0 = value[0][0]
d1 = value[0][1]
d = float(d0) / float(d1)
m0 = value[1][0]
m1 = value[1][1]
m = float(m0) / float(m1)
s0 = value[2][0]
s1 = value[2][1]
s = float(s0) / float(s1)
return d + (m / 60.0) + (s / 3600.0)
gps_data = {}
for t in gpsinfo:
sub_decoded = GPSTAGS.get(t, t)
gps_data[sub_decoded] = gpsinfo[t]
lat = -1
lon = -1
gps_latitude = _get_if_exist(gps_data, 'GPSLatitude')
gps_latitude_ref = _get_if_exist(gps_data, 'GPSLatitudeRef')
gps_longitude = _get_if_exist(gps_data, 'GPSLongitude')
gps_longitude_ref = _get_if_exist(gps_data, 'GPSLongitudeRef')
if gps_latitude and gps_latitude_ref and gps_longitude and gps_longitude_ref:
lat = _convert_to_degress(gps_latitude)
if gps_latitude_ref != "N":
lat = 0 - lat
lon = _convert_to_degress(gps_longitude)
if gps_longitude_ref != "E":
lon = 0 - lon
self.exif_latitude = lat
self.exif_longitude = lon
def getExifData(cls, image):
exifData = {}
exifInfo = image._getexif()
if exifInfo:
for tagData, value in exifInfo.items():
keyData = TAGS.get(tagData, tagData)
if keyData == EXIFGPSINFO:
# GPSに関する情報（位置情報など）。階層構造になっている。
gpsData = {}
for subTagData in value:
subKeyData = GPSTAGS.get(subTagData, subTagData)
gpsData[subKeyData] = value[subTagData]
exifData[keyData] = gpsData
else:
# GPS以外に関する情報（日時情報など）。
exifData[keyData] = value
return exifData
def get_exif_data(image): #Getting EXIF data from image
exif_data = {}
info = image._getexif()
if info:
for tag, value in info.items():
decoded = TAGS.get(tag, tag)
if decoded == "GPSInfo":
gps_data = {}
for t in value:
sub_decoded = GPSTAGS.get(t, t)
gps_data[sub_decoded] = value[t]
exif_data[decoded] = gps_data
else:
exif_data[decoded] = value
return exif_data
def get_exif_data(image):
"""Returns a dictionary from the exif data of an PIL Image item. Also converts the GPS Tags"""
try:
info = image._getexif()
except AttributeError:
return {}
if not info:
return {}
exif_data = {TAGS.get(tag, tag): value for tag, value in info.items()}
def is_fraction(val):
return isinstance(val, tuple) and len(val) == 2 and isinstance(val[0], int) and isinstance(val[1], int)
def frac_to_dec(frac):
return float(frac[0]) / float(frac[1])
if "GPSInfo" in exif_data:
gpsinfo = {GPSTAGS.get(t, t): v for t, v in exif_data["GPSInfo"].items()}
for tag, value in gpsinfo.items():
if is_fraction(value):
gpsinfo[tag] = frac_to_dec(value)
elif all(is_fraction(x) for x in value):
gpsinfo[tag] = tuple(map(frac_to_dec, value))
exif_data["GPSInfo"] = gpsinfo
return exif_data
def getGPSTags(imagePath):
image = Image.open(imagePath)
#Get the EXIF data from the image.
rawEXIF = image._getexif()
#Somewhere to store the rest of the EXIF data, I might use it one day.
tags = {}
#Aaand a place to store the GPS data.
gpsTags = {}
#pulling out the EXIF tags.
for tag, value in rawEXIF.items():
decoded = TAGS.get(tag,tag)
tags[decoded] = value
rawGPS = tags['GPSInfo']
#Pulling out the GPS specific tags.
for gpstag , value in rawGPS.items():
decoded = GPSTAGS.get(gpstag,gpstag)
gpsTags[decoded] = value
#Pull together our return variable that includes both tagsets.
return {'tags' : tags, 'gps' : gpsTags}
def get_exif_data(image):
"""
Returns a dictionary from the exif data of an PIL Image item.
Also converts the GPS Tags
https://gist.github.com/valgur/2fbed04680864fab1bfc
"""
info = image._getexif()
if not info:
return {}
exif_data = {TAGS.get(tag, tag): value for tag, value in info.items()}
def is_fraction(val):
return isinstance(val, tuple) and len(val) == 2 and isinstance(
val[0], int) and isinstance(val[1], int)
def frac_to_dec(frac):
return float(frac[0]) / float(frac[1])
if 'GPSInfo' in exif_data:
gpsinfo = {GPSTAGS.get(t, t): v
for t, v in exif_data['GPSInfo'].items()}
for tag, value in gpsinfo.items():
if is_fraction(value):
gpsinfo[tag] = frac_to_dec(value)
elif all(is_fraction(x) for x in value):
gpsinfo[tag] = tuple(map(frac_to_dec, value))
exif_data['GPSInfo'] = gpsinfo
return exif_data
