def attributes(self, node):
attr = VMap()
vfile = node.open()
img = Image.open(vfile)
info = img._getexif()
vfile.close()
for tag, values in info.items():
if tag in self.dateTimeTags:
try:
decoded = str(TAGS.get(tag, tag))
try:
dt = strptime(values, "%Y:%m:%d %H:%M:%S")
except ValueError:
try:
dt = strptime(values[:-6], "%Y-%m-%dT%H:%M:%S")
except ValueError:
dt = strptime(values.rstrip(' '), "%a %b %d %H:%M:%S")
vt = vtime(dt.tm_year, dt.tm_mon, dt.tm_mday, dt.tm_hour, dt.tm_min, dt.tm_sec, 0)
vt.thisown = False
attr[decoded] = Variant(vt)
except Exception as e:
attr[decoded] = Variant(str(values))
else:
decoded = str(TAGS.get(tag, tag))
if isinstance(values, tuple):
vl = VList()
for value in values:
vl.push_back(Variant(value))
attr[decoded] = vl
else:
attr[decoded] = Variant(values)
return attr
def rotate_upright(img):
ret = {}
info = img._getexif()
for tag, value in info.items():
decoded = TAGS.get(tag, tag)
if decoded == "Orientation":
orientation = value
#print "before:" + str(value)
if orientation is 6: img = img.rotate(-90)
elif orientation is 8:
img = img.rotate(90)
print type(img)
print orientation
elif orientation is 3: img = img.rotate(180)
elif orientation is 2: img = img.transpose(Image.FLIP_LEFT_RIGHT)
elif orientation is 5: img = img.rotate(-90).transpose(Image.FLIP_LEFT_RIGHT)
elif orientation is 7: img = img.rotate(90).transpose(Image.FLIP_LEFT_RIGHT)
elif orientation is 4: img = img.rotate(180).transpose(Image.FLIP_LEFT_RIGHT)
print type(img)
ret = {}
info = img._getexif()
for tag, value in info.items():
decoded = TAGS.get(tag, tag)
if decoded == "Orientation":
orientation = value
print "before:" + str(value)
return img
def get_exif_data(image_path, exif_include_keys=EXIF_INCLUDE_KEYS):
"""
Returns all the image's exif data as a dict.
"""
image_file = pil.open(image_path)
try:
raw_exif_data = image_file._getexif()
except AttributeError:
raw_exif_data = None
if not raw_exif_data:
return None
exif_data = {}
for key, value in raw_exif_data.items():
decoded_key = TAGS.get(key, key)
if decoded_key in exif_include_keys:
if decoded_key == "DateTimeOriginal":
try:
value = datetime.strptime(value, "%Y:%m:%d %H:%M:%S")
except ValueError:
value = datetime.now()
exif_data[decoded_key] = value
return exif_data
[{TAGS.get(key, key): value}for key, value in raw_exif_data.items()]
def get_exif(file,field):
img = Image.open(file)
exif = img._getexif()
exif_data = []
for id, value in exif.items():
if TAGS.get(id) == field:
tag = TAGS.get(id, id),value
exif_data.extend(tag)
return exif_data
def read_one_exif_tag(pil_image, tag):
try:
exif_key = TAGS.keys()[TAGS.values().index(tag)]
except ValueError:
return 'Invalid EXIF Tag'
info_ = pil_image._getexif()
if info_ is None:
return None
else:
invalid_str = 'Invalid EXIF Key: exif_key=%r, tag=%r' % (exif_key, tag)
exif_val = info_.get(exif_key, invalid_str)
return exif_val
def __init__(self, imageName, crs):
QDialog.__init__(self)
self.ui_exif_info = Ui_Exif2()
self.ui_exif_info.setupUi(self)
self.FocalLength = None
img = Image.open(imageName)
if hasattr(img,'_getexif'):
raw = img._getexif()
else:
QMessageBox.warning(QMainWindow(),"Error","Image has no EXIF")
return
sizePicture = img.size
self.diag = sqrt(sizePicture[0]**2+sizePicture[1]**2)
if raw != None and any(raw):
dict = None
for (k,v) in raw.iteritems():
if TAGS.get(k) == 'GPSInfo':
dict = v
if TAGS.get(k) == 'FocalLength':
self.FocalLength = v
text = ''
if dict != None:
Nord = dict[2][0][0]+dict[2][1][0]/float(dict[2][1][1])/60.0
Est = dict[4][0][0]+dict[4][1][0]/float(dict[4][1][1])/60.0
crsTarget = QgsCoordinateReferenceSystem(crs.postgisSrid())
crsSource = QgsCoordinateReferenceSystem(4326)
xform = QgsCoordinateTransform(crsSource, crsTarget)
LocalPos = xform.transform(QgsPoint(Est,Nord))
text += 'Nord: ' + str(LocalPos[0])
text += '\nEst: ' +str(LocalPos[1])
text += '\n\n'
text += '============================\n'
text += 'Raw EXIF data:'
for (k,v) in raw.iteritems():
test = True
if isinstance(v, (int, long, float, complex, bool)):
text += "\n " + str(TAGS.get(k)) + ": " + str(v)
else:
for c in str(v):
if isinstance(c, str) and c not in string.ascii_letters and c not in string.digits and c not in string.whitespace and c not in('.',',','(',')',':'):
test = False
if test:
text += "\n " + str(TAGS.get(k)) + ": " + str(v)
self.ui_exif_info.textBrowser.setText(text)
else:
raise IOError
self.ui_exif_info.pushButton.clicked.connect(self.getFocal)
def get_exif_data(filename):
fileinfo = {}
try:
img = Image.open(filename)
if hasattr( img, '_getexif' ):
exifinfo = img._getexif()
print exifinfo
if exifinfo != None:
fileinfo = dict([(TAGS.get(key,key), str(value).decode('utf-8', 'ignore'))
for key, value in exifinfo.items()
if type(TAGS.get(key,key)) is str])
except IOError:
logging.error(filename)
return fileinfo
def get_exif(file):
img = Image.open(file)
df=np.array(Image.open(file))
exif = img._getexif()
exif_data = []
for id, value in exif.items():
#print 'ID',TAGS.get(id),'\n'
ID = TAGS.get(id)
tag = TAGS.get(id, id),value
#print 'Tag',tag,'\n'
if ID == 'GPSInfo':
exif_data.extend(tag)
return exif_data
def get_exif_data(fname):
"""Get embedded EXIF data from image file."""
fileinfo = {}
try:
img = Image.open(fname)
if hasattr( img, '_getexif' ):
exifinfo = img._getexif()
print exifinfo
if exifinfo != None:
fileinfo = dict([(TAGS.get(key,key),value)
for key, value in exifinfo.items()
if type(TAGS.get(key,key)) is str])
except IOError:
logging.error(fname)
return fileinfo
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 testForExif(imgFileName):
try:
print "[+] Testing for exif Metadata"
exifData = {}
imgFile = Image.open(imgFileName)
info = imgFile._getexif()
if info:
for (tag, value) in info.items():
decoded = TAGS.get(tag, tag)
exifData[decoded] = value
exifGPS = exifData['GPSInfo']
if exifGPS:
print '[*] ' + str(imgFileName) + ' contains GPS MetaData'
else:
print '[-] NO GPS data found'
else:
print '[-] NO data found'
except Exception, e:
print "[-] Error : " + str(e)
def get_exif(self):
"""
Get EXIF tags for JPEG images. Fails for non-JPEG images.
:returns: EXIF tags.
:rtype: dict(str -> str)
:raise ValueError: Not a JPEG image.
"""
# Check that it's really an image.
if self.mime_subtype != "jpeg":
raise ValueError("Not a JPEG image")
# Lazy import.
global PIL_TAGS
if PIL_TAGS is None:
from PIL.ExifTags import TAGS as PIL_TAGS
# Load in PIL.
img = self.to_pil()
# Extract the EXIF tags.
exif = {}
try:
info = img.tag.tags
except AttributeError:
info = img._getexif()
if info:
for tag, value in info.items():
decoded = PIL_TAGS.get(tag, tag)
exif[decoded] = value
# Return the EXIF tags.
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 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 rotate(img):
try:
exif = img._getexif()
except:
return img
if not exif or not exif.items:
return img
for tag, value in exif.items():
decoded = TAGS.get(tag, tag)
if decoded == 'Orientation':
if value == 1:
return img
elif value == 2:
return img.transpose(Image.FLIP_LEFT_RIGHT)
elif value == 3:
return img.transpose(Image.ROTATE_180)
elif value == 4:
return img.transpose(Image.FLIP_TOP_BOTTOM)
elif value == 5:
return img.transpose(Image.ROTATE_90).transpose(Image.FLIP_LEFT_RIGHT)
elif value == 6:
return img.transpose(Image.ROTATE_270)
elif value == 7:
return img.transpose(Image.ROTATE_270).transpose(Image.FLIP_LEFT_RIGHT)
elif value == 8:
return img.transpose(Image.ROTATE_90)
else:
return img
return img
def getExif(filename):
"""Returns EXIF data from a file -- currently, creation date and orientation
Args:
filename"""
exif = {}
i = Image.open(filename)
info = i._getexif()
if info:
for tag, value in info.items():
decoded = TAGS.get(tag, tag)
exif[decoded] = value
try:
exif['DateTimeOriginal']
dtime = exif['DateTimeOriginal']
except KeyError:
print "Caution: No EXIF datetime data"
dtime = None
except:
#Any other error
print "Error in reading EXIF date stamp"
dtime = None
try:
exif['Orientation']
orient = exif['Orientation']
except KeyError:
print "Caution: No EXIF orientation data"
orient = 1
except:
#Any other error
print "Error in reading EXIF orientation information"
orient = 1
return dtime, orient
else:
return None, None
def handle(self, *args, **options):
for photo_id in options['photo_id']:
try:
img=PhotoImages.objects.get(id=photo_id)
except PhotoAlbums.DoesNotExist:
self.stdout.write('Not find PhotoImage for ID:"%s"'%photo_id)
else:
self.stdout.write('Get EXIF data (%s) for photo( album:%s, path:%s, filename:%s)'%(options['tags'],img.album.tag, img.path, img.filename))
full_path=os.path.join(img.album.base_path, img.path, img.filename)
if os.path.exists(full_path):
photo=Image.open(full_path)
# Получаем Exif
try:
exif = photo._getexif()
except:
exif = None
self.stdout.write('Error getting EXIF Data')
if exif != None:
for tag, value in exif.items():
decoded = TAGS.get(tag, tag)
if options['taglist']:
self.stdout.write('%s'%decoded)
else:
if isinstance(decoded,str):
if ('all' in options['tags']) or (decoded.lower() in options['tags']) or (decoded in options['tags']):
self.stdout.write('%s = %s'%(decoded,value))
else:
self.stdout.write('Image file not found!')
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_exifgps(i):
ret = {}
info = i._getexif()
if info:
for tag, values in info.items():
decoded = TAGS.get(tag, tag)
if decoded == "GPSInfo":
lat, lon, altitude, gps_data = _extract_gpsinfo(values)
# try:
# iptc = IptcImagePlugin.getiptcinfo(i)
# ret['caption'] = iptc[(2,120)]
# ret['copyright'] = iptc[(2,116)]
# ret['keywords'] = iptc[(2,25)]
# except:
# ret['headline'] = None
# ret['caption'] = None
# ret['copyright'] = None
# ret['keywords'] = []
ret['latitude'] = lat
ret['longitude'] = lon
ret['altitude'] = altitude
ret[decoded] = gps_data
return ret
def remove_exif_orientation(file_path):
ext = os.path.splitext(file_path)[1].lower()
if ext == '.jpg' or ext == '.jpeg':
img = Image.open(file_path)
exif = img._getexif()
if not exif:
return
orientation = 1
for (k, v) in exif.items():
if TAGS.get(k) == 'Orientation':
orientation = v
if orientation is 6:
img = img.rotate(-90)
elif orientation is 8:
img = img.rotate(90)
elif orientation is 3:
img = img.rotate(180)
elif orientation is 2:
img = img.transpose(Image.FLIP_LEFT_RIGHT)
elif orientation is 5:
img = img.rotate(-90).transpose(Image.FLIP_LEFT_RIGHT)
elif orientation is 7:
img = img.rotate(90).transpose(Image.FLIP_LEFT_RIGHT)
elif orientation is 4:
img = img.rotate(180).transpose(Image.FLIP_LEFT_RIGHT)
img.save(file_path)
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 testForExif(imgFileName):
try:
exifData = {}
imgFile = Image.open(imgFileName)
info = imgFile._getexif()
if info:
for (tag,value) in info.items():
decoded = TAGS.get(tag,tag)
exifData[decoded] = value
exifGPS = exifData["GPSInfo"]
if exifGPS:
print("[*] {0} contains GPS MetaData".format(imgFileName))
return exifGPS
else:
return None
except Exception,e:
print("ERROR: ",e)
return None
def printExif(image):
exifAttrs = set(["Model", "Make", "ExifImageWidth", "ExifImageHeight", "FocalLength"])
exif = {}
info = image._getexif()
if info:
for attr, value in info.items():
decodedAttr = TAGS.get(attr, attr)
if decodedAttr in exifAttrs: exif[decodedAttr] = value
if 'FocalLength' in exif: exif['FocalLength'] = float(exif['FocalLength'][0])/float(exif['FocalLength'][1])
outputString = ""
if ('Make' in exif):
outputString += exif['Make']
outputString += ","
if ('Model' in exif):
outputString += exif['Model']
outputString += ","
if ('FocalLength' in exif):
outputString += str(exif['FocalLength'])
outputString += ","
outputString += str(exif['ExifImageWidth']) + "," + str(exif['ExifImageHeight'])
print(outputString)
def __call__(self, hdrs, content, limit):
try:
img = Image.open(cStringIO.StringIO(content))
except IOError:
return None
parts = [
("Format", str(img.format_description)),
("Size", "%s x %s px"%img.size),
("Mode", str(img.mode)),
]
for i in sorted(img.info.keys()):
if i != "exif":
parts.append(
(str(i), str(img.info[i]))
)
if hasattr(img, "_getexif"):
ex = img._getexif()
if ex:
for i in sorted(ex.keys()):
tag = TAGS.get(i, i)
parts.append(
(str(tag), str(ex[i]))
)
clean = []
for i in parts:
clean.append([utils.cleanBin(i[0]), utils.cleanBin(i[1])])
fmt = common.format_keyvals(
clean,
key = "header",
val = "text"
)
return "%s image"%img.format, fmt
def get_tiff_tags(self):
tifftags = self.image.tag.tags
decoded = {}
for a, b in tifftags.items():
val = TAGS.get(a,b)
decoded[val] = b
return decoded
def __call__(self, data, **metadata):
try:
img = Image.open(cStringIO.StringIO(data))
except IOError:
return None
parts = [
("Format", str(img.format_description)),
("Size", "%s x %s px" % img.size),
("Mode", str(img.mode)),
]
for i in sorted(img.info.keys()):
if i != "exif":
parts.append(
(str(i), str(img.info[i]))
)
if hasattr(img, "_getexif"):
ex = img._getexif()
if ex:
for i in sorted(ex.keys()):
tag = TAGS.get(i, i)
parts.append(
(str(tag), str(ex[i]))
)
fmt = format_dict(ODict(parts))
return "%s image" % img.format, fmt
def get_exif(i):
ret = {}
info = i._getexif()
for tag, value in info.items():
decoded = TAGS.get(tag, tag)
ret[decoded] = value
return ret
def ImageToPixmap(fn):
try:
im = Image.open(fn)
except:
return None
exif = {}
try:
info = im._getexif()
except:
info = None
if info:
for tag, value in info.items():
decoded = TAGS.get(tag, tag)
exif[decoded] = value
date = ''
if 'DateTimeOriginal' in exif:
# Date example: 2011:02:26 16:29:49
try:
date2 = exif['DateTimeOriginal']
t = time.strptime(date2,"%Y:%m:%d %H:%M:%S")
date = time2str(t)
except:
pass
if 'Orientation' in exif:
if exif['Orientation'] == 6:
im = im.rotate(-90)
elif exif['Orientation'] == 3:
im = im.rotate(180)
elif exif['Orientation'] == 8:
im = im.rotate(90)
data = im.convert('RGBA').tostring('raw', 'BGRA')
image = QtGui.QImage(data, im.size[0], im.size[1], QtGui.QImage.Format_ARGB32)
w,h = im.size
size = str(w) + 'x' + str(h)
return ((data, QtGui.QPixmap(image)), date+' '+size)
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 get_exif_data(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 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_from_image(image):
'''
Helper function to extract the exif GPSInfo from a file
'''
exif = {}
if hasattr(image, '_getexif'):
exifinfo = image._getexif()
if exifinfo != None:
for tag, value in exifinfo.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]
exif[decoded] = gps
return exif
def _get_latlng_exif(self, img_fh):
logging.info("Getting exif lat lng in _get_latlng_exif")
from PIL import Image
from PIL.ExifTags import TAGS, GPSTAGS
gps_data = {}
image = Image.open(img_fh)
info = image._getexif()
img_fh.seek(0) # reset file handle
if info:
for tag, value in info.items():
decoded = TAGS.get(tag, tag)
if decoded == "GPSInfo":
for gps_tag in value:
gps_tag_decoded = GPSTAGS.get(gps_tag, gps_tag)
gps_data[gps_tag_decoded] = value[gps_tag]
try:
gps_lat = gps_data['GPSLatitude']
gps_lng = gps_data['GPSLongitude']
except KeyError:
pass # TODO: is this right?
gps_lat_angles = (
float(gps_lat[0][0]) / float(gps_lat[0][1]), # degrees
float(gps_lat[1][0]) / float(gps_lat[1][1]), # hours
float(gps_lat[2][0]) / float(gps_lat[2][1]), # minutes
)
gps_lng_angles = (
float(gps_lng[0][0]) / float(gps_lng[0][1]), # degrees
float(gps_lng[1][0]) / float(gps_lng[1][1]), # hours
float(gps_lng[2][0]) / float(gps_lng[2][1]), # minutes
)
gps_lat_ref = gps_data['GPSLatitudeRef'] # N/S
gps_lng_ref = gps_data['GPSLongitudeRef'] # E/W
lat = latlng_angles_to_dec(gps_lat_ref, gps_lat_angles)
lng = latlng_angles_to_dec(gps_lng_ref, gps_lng_angles)
logging.info('Converting "%s %s, %s %s" to "%s %s"' %
(gps_lat_ref, gps_lat_angles, gps_lng_ref, gps_lng_angles,
lat, lng))
return lat, lng
def analisis_imagen(nombre_imagen):
metadatos_exif = {}
#Abrimos la imagen
archivo_imagen = Image.open(nombre_imagen)
#Extraemos la información necesaria de ella, los EXIF
info = archivo_imagen._getexif()
print("\n")
print(
"###############################################################################"
)
print(" Información general")
print(
"###############################################################################"
)
print("\n")
print(info)
if (info):
for (tag, value) in info.items():
decoded = TAGS.get(tag, tag)
metadatos_exif[decoded] = value
if metadatos_exif:
print("\n")
print(
"###############################################################################"
)
print(
" Información metadatos"
)
print(
"###############################################################################"
)
print("\n")
for meta_info in metadatos_exif:
print("[+] " + str(nombre_imagen) +
" Datos: " +
str(metadatos_exif[meta_info]))
def get_exif_all_images(row):
images = row['photo_files']
tags = [get_exif_single_image(x) for x in images]
# exifread version
# for tag in tags:
# for key in tag.keys():
# row[key] = tag[key]
# PIL version
for tag in tags:
if tag:
try:
for (k, v) in tag.iteritems():
row[TAGS.get(k)] = v
except:
pass
return row
def extractor():
# path to the image
imagename = image_set
# read the image data using PIL
image = Image.open(imagename)
# extract EXIF data
exifdata = image.getexif()
# iterating over all EXIF data fields
for tag_id in exifdata:
# get the tag name, instead of human unreadable tag id
tag = TAGS.get(tag_id, tag_id)
data = exifdata.get(tag_id)
# decode bytes
if isinstance(data, bytes):
data = data.decode()
print(f"{tag:25}: {data}")
def get_exif(fn):
'''This get the EXIF data...'''
ret = {}
i = Image.open(fn)
try:
info = i._getexif()
for t, v in info.items():
try:
decoded = TAGS.get(t, t)
ret[decoded] = v
except:
pass
if "GPSInfo" in ret:
return ret["GPSInfo"]
else:
return {}
except:
return {}
def get_exif_datetime(fname):
try:
img = Image.open(fname)
except:
print('error',fname)
return
exif = img._getexif()
try:
for id,val in exif.items():
tg = TAGS.get(id,id)
if tg == "DateTimeOriginal":
img.close()
dt=val.split(' ')
return datetime.datetime(*(list(map(int,dt[0].split(':') + dt[1].split(':')))))
except AttributeError:
img.close()
return None
img.close()
return None
def read_exif_data(img):
""" Read out pertinent image exif data - in this case datetime
Exif time is in YYYY:MM:DD HH:MM:SS format.
The formats from the form are YYYY-MM-DD and HH:MM
The easiest way to convert is to go through datetime
"""
try:
exif = img._getexif() # pylint: disable=W0212
except AttributeError:
return
if not exif:
return
for tag, value in exif.items():
decoded = TAGS.get(tag, hex(tag))
if decoded.startswith('DateTime'):
dt_object = datetime.strptime(value, "%Y:%m:%d %H:%M:%S")
return dt_object.strftime("%Y-%m-%d"), dt_object.strftime("%H:%M")
def get_exif_data(image):
"""
This function gets the exit data off of an image. Please pass it an image file with associated EXIF data.
"""
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]
#hehe
exif_data[decoded] = gps_data
else:
exif_data[decoded] = value
return exif_data
def listTags(imgObj):
""" Extact ExIf tags from image to text file
with help from: https://developer.here.com/blog/getting-started-with-geocoding-exif-image-metadata-in-python3"""
# open image file
im = Image.open(imgObj.fileLOC)
# Get raw ExIf data
exif_data = im._getexif()
# used to store a dictionary of the ExIf data
labeled = {}
# Catch any images that do not have any metadata tags
try:
for (key, val) in exif_data.items():
labeled[TAGS.get(key)] = val
except AttributeError:
print("AttributeError: This image has no readable ExIf Tags")
# Write ExIf tags into text files,
# ExIf-data-dump.txt: used for all ExIf data
# ExIf-data-parsed.txt: used for specific useful ExIf data
f = open("ExIf-data-dump.txt", "a+")
f2 = open("ExIf-data-parsed.txt", "a+")
f.write("------------------------------------------------------------ \n")
f.write(imgObj.fileName + " \n")
f.write("------------------------------------------------------------ \n")
f2.write("------------------------------------------------------------ \n")
f2.write(imgObj.fileName + " \n")
f2.write("------------------------------------------------------------ \n")
# List of all the useful ExIf data tags
keyList = [
"DateTimeOriginal", "DateTimeDigitized", "ExifImageWidth",
"ExifImageHeight", "Make", "Model", "XResolution", "YResolution",
"ISOSpeedRatings", "ResolutionUnit", "WhiteBalance"
]
for key in labeled:
# Filter out keys that contain un-usable binary data dumps
if key == "MeteringMode" or key == "UserComment" or key == "MakerNote" or key == "PrintImageMatching":
continue
# Write to ExIf dump
f.write(f"key:{key}, val:{labeled.get(key)} \n")
if key in keyList:
# If the label is useful write to ExIf parsed
f2.write(f"key:{key}, val:{labeled.get(key)} \n")
f.close()
f2.close()
def _get_exif_data(self):
if self._image._getexif():
for tag in self._image._getexif():
try:
decoded = TAGS.get(tag, tag)
self._pil_tags[decoded] = self._image._getexif().get(tag)
except AttributeError as e:
# print("AttributeError" + str(e))
pass
try:
exif = exifread.process_file(self._image, details=True)
self._exif_read_tags = exif
except AttributeError as e:
# print("AttributeError" + str(e))
pass
except MemoryError as e:
# print("MemoryError" + str(e))
pass
def testForExif(imgFileName):
try:
print("imgFileName: " + imgFileName)
exifData = {}
imgFile = Image.open(imgFileName)
info = imgFile._getexif()
if info:
for (tag, value) in info.items():
#print("tag: " + tag + " value: " + value)
decoded = TAGS.get(tag, tag)
exifData[decoded] = value
exifGPS = exifData['GPSInfo']
if exifGPS:
print('[*] ' + imgFileName +\
' contains GPS MetaData')
except:
#print('testForExif error')
pass
def get_coordinates(directory, filename,
exiftool): #extract only the gps data from exif
mov_time = datetime.datetime.now()
if filename.lower().endswith(
".mov"): #we got a movie on our hands, can't use pillow
print("using exiftool on ", filename)
# result = subprocess.run(['exiftool', '-GPSLatitude#', os.path.join(directory,filename)], stdout=subprocess.PIPE)
result = exiftool.get_metadata(os.path.join(directory, filename))
latitude = result.get('Composite:GPSLatitude', 0)
longitude = result.get('Composite:GPSLongitude', 0)
date = result.get('QuickTime:CreateDate', '')
mov_time1 = datetime.datetime.now()
print("movie processing: ", (mov_time1 - mov_time).total_seconds())
return {'coords': (latitude, longitude), 'date': date}
else:
#get exif
image = Image.open(os.path.join(directory, filename))
image.verify()
exif = image._getexif()
if not exif:
print("No EXIF metadata found found. Skipping ", filename)
return {'coords': (0, 0), 'date': ''}
#get geotagging
geotagging = {}
for (idx, tag) in TAGS.items():
if tag == 'GPSInfo':
if idx not in exif:
print("No EXIF geotagging found. Skipping ", filename)
return {'coords': (0, 0), 'date': ''}
for (key, val) in GPSTAGS.items():
if key in exif[idx]:
geotagging[val] = exif[idx][key]
if tag == 'DateTimeOriginal':
if idx not in exif:
print("No EXIF Date found.")
date = ''
else:
date = exif[idx]
img_time = datetime.datetime.now()
print("image processing: ", (img_time - mov_time).total_seconds())
return {'coords': get_coords_from_geotag(geotagging), 'date': date}
def getexptime(filename):
im = Image.open(filename)
try:
exif = im._getexif()
except AttributeError:
return 1.0
exif_table = {}
for tag_id, value in exif.items():
tag = TAGS.get(tag_id, tag_id)
exif_table[tag] = value
expo_str = 'ExposureTime'
expo_time = 1.0
if expo_str in exif_table:
expo_tubple = exif_table[expo_str]
expo_time = expo_tuple[0] / expo_tuble[1]
return expo_time
def main():
img_file = arg_parser()
with Image.open(img_file) as img:
# extract EXIF data
exifdata = img.getexif()
#Save tags names
tags_names = []
for x in exifdata:
tag = TAGS.get(x, x)
tags_names.append((x, tag))
try:
while True:
menu(exifdata, tags_names)
except KeyboardInterrupt:
exit(0)
def getExifData(
image): # pass image path --> turns image to a php-ish standard
exif_data = {}
img = image
dataExif = img._getexif()
if dataExif:
for tag, value in dataExif.items():
decoded = TAGS.get(tag, tag)
if decoded == "GPSInfo":
gpsData = {}
for each in value:
subDecoded = GPSTAGS.get(each, each)
gpsData[subDecoded] = value[each]
exif_data[decoded] = gpsData
else:
exif_data[decoded] = value
return exif_data
def fix_orientation(self, pImg):
"""
`lImg` can be an Image instance or a path to an image file.
`save_over` indicates if the original image file should be replaced by the new image.
* Note: `save_over` is only valid if `lImg` is a file path.
"""
path = pImg
lImg = Image.open(pImg)
lExif = lImg._getexif()
if lExif != None:
for tag, value in lExif.items():
decoded = TAGS.get(tag, tag)
if decoded == 'Orientation':
if value == 3: lImg = lImg.rotate(180)
if value == 6: lImg = lImg.rotate(270)
if value == 8: lImg = lImg.rotate(90)
break
lImg.save(path, quality = 95)
def get_exif_data(fname):
"""
获取EXIF信息
:param fname: 影像文件路径
:return: 字典类型的EXIF信息
"""
ret = {}
try:
img = Image.open(fname)
if hasattr(img, '_getexif'):
exifinfo = img._getexif()
if exifinfo != None:
for tag, value in exifinfo.items():
decoded = TAGS.get(tag, tag)
ret[decoded] = value
except IOError:
print 'IOERROR ' + fname
return ret
def adjust_image_orientation(cls, image):
"""Since the iPhone will store an image on its side but with EXIF
data stating that it should be rotated, we need to find that
EXIF data and correctly rotate the image before storage."""
if hasattr(image, '_getexif'):
exif = image._getexif()
if exif:
for tag, value in exif.items():
decoded = TAGS.get(tag, tag)
if decoded == 'Orientation':
if value == 6:
image = image.rotate(-90)
if value == 8:
image = image.rotate(90)
if value == 3:
image = image.rotate(180)
break
return image
def get_image_info(image_tmp):
images = [
f for f in os.listdir(image_dir)
if os.path.isfile(os.path.join(image_dir, f))
]
for image in images:
dict_image = {}
dict_image["Image_Name"] = image
img = image_dir + "/" + image
open_image = Image.open(img)
exifdata = open_image.getexif()
for tag_id in exifdata:
# get the tag name, instead of human unreadable tag id
tag = TAGS.get(tag_id, tag_id)
data = exifdata.get(tag_id)
# decode bytes
if isinstance(data, bytes):
data = data.decode()
if tag == "ApertureValue":
stop_value = float(f"{data}")
f_stop = math.ceil(math.sqrt(pow(2, stop_value)))
dict_image["Aperture"] = f_stop
if tag == "ISOSpeedRatings":
dict_image["ISO"] = f"{data}"
if tag == "DateTime":
dict_image["Date_Time"] = f"{data}"
if tag == "ShutterSpeedValue":
shutter_val = float(f"{data}")
prod = math.ceil(pow(2, shutter_val))
rounded = round(prod / 10) * 10
dict_image["Shutter_Speed"] = rounded
# info = shutter_val.split(", ")
# num = info[0].replace("(","")
# den = info[1].replace("(","")
# div = float(num)/float(den)
# prod = math.ceil(pow(2,div))
# dict_image["Shutter_Speed"] = prod
image_tmp.append(dict_image)
def testForExif(imgFileName):
"""to get the exif information"""
try:
exifData = {}
imgFile = Image.open(imgFileName)
info = imgFile._getexif()
if info:
#la = info[34853][2][0][0] + info[34853][2][1][0] / 60.0 + info[34853][2][2][0] / 360000.0
# lo = info[34853][4][0][0] + info[34853][4][1][0] / 60.0 + info[34853][4][2][0] / 360000.0
for (tag, value) in info.items():
decoded = TAGS.get(tag, tag)
exifData[decoded] = value
exifGPS = exifData['GPSInfo']
if exifGPS:
print "[+] " + imgFileName + Fore.RED + " has GPS location " #+ Getlocation(la,lo)
except:
pass
def lat_lon(file):
"""
returns a dict of lat, lon, alt, filename values, given
an input file path as string
example: latlong("path/to/file") or latlon(variable)
"""
img = Image.open(file)
# info = img._getexif()
filename = path_leaf(file)
# build a dict of decoded exif keys and values
decoded = dict((TAGS.get(key, key), value) for key, value in info.items())
info: Dict[str, Union[Union[None, float, str], Any]] = {
"filename": filename,
"lat": None,
"lon": None,
"timestamp": None,
"altitude": None,
}
# ensure that this photo contains GPS data, or return an empty dict:
if not decoded.get('GPSInfo'):
return info
lat = [float(x) / float(y) for x, y in decoded['GPSInfo'][2]]
lon = [float(x) / float(y) for x, y in decoded['GPSInfo'][4]]
alt = float(decoded['GPSInfo'][6][0]) / float(decoded['GPSInfo'][6][1])
timestamp = decoded['DateTimeOriginal']
# assign values to dict
info['filename'] = filename
info['lat'] = (lat[0] + lat[1] / 60)
info['lon'] = (lon[0] + lon[1] / 60)
info['timestamp'] = dt.strptime(
timestamp, "%Y:%m:%d %H:%M:%S").strftime("%Y/%m/%d %H:%M:%S")
info['altitude'] = alt
# corrections if necessary
if decoded['GPSInfo'][1] == "S":
info['lat'] *= -1
if decoded['GPSInfo'][3] == "W":
info['lon'] *= -1
# if we're below sea level, the value's negative
if decoded['GPSInfo'][5] == 1:
info['altitude'] *= -1
return info
def get_image_meta(file: Path):
meta = {}
try:
with Image.open(file) as image:
metadata = image.getexif()
for tag_id in metadata:
# get the tag name, instead of human unreadable tag id
tag = TAGS.get(tag_id, tag_id)
data = metadata.get(tag_id)
if tag_id == 59932:
continue
meta[str(tag)] = parse_tag_data(data)
except UnidentifiedImageError as e:
print(e)
return None
else:
return meta
def print_exiftool_data(img_filename):
data = {}
try:
img_file = Image.open(img_filename)
info = img_file._getexif()
if not info:
return
for (tag, value) in info.items():
decoded = TAGS.get(tag, tag)
data[decoded] = value
exifGPS = data["GPSInfo"]
if not exifGPS:
return
print("[*] {} contains GPS MetaData".format(img_filename))
except Exception:
pass
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
