def _metadata_exif(self, metadata_file_path):
"""Read exif metadata from a jpg or tiff file using exifread."""
# TODO: can we shorten this method somehow?
with open(self.src_path, 'rb') as img:
tags = None
try:
tags = exifread.process_file(img, debug=True)
except Exception as e:
self.add_error(e, "Error while trying to grab full metadata for file {}; retrying for partial data.".format(self.src_path))
if tags is None:
try:
tags = exifread.process_file(img, debug=True)
except Exception as e:
self.add_error(e, "Failed to get any metadata for file {}.".format(self.src_path))
return False
for tag in sorted(tags.keys()):
# These tags are long and obnoxious/binary so we don't add them
if tag not in ('JPEGThumbnail', 'TIFFThumbnail'):
tag_string = str(tags[tag])
# Exifreader truncates data.
if len(tag_string) > 25 and tag_string.endswith(", ... ]"):
tag_value = tags[tag].values
tag_string = str(tag_value)
with open(metadata_file_path, 'w+') as metadata_file:
metadata_file.write("Key: {}\tValue: {}\n".format(tag, tag_string))
# TODO: how do we want to log metadata?
self.set_property('metadata', 'exif')
return True
def _metadata_exif(self, metadataFile):
img = open(self.cur_file.src_path, 'rb')
tags = None
try:
tags = exifread.process_file(img, debug=True)
except Exception as e:
print("Error while trying to grab full metadata for file {}; retrying for partial data.".format(self.cur_file.src_path))
print(e)
if tags is None:
try:
tags = exifread.process_file(img, debug=True)
except Exception as e:
print("Failed to get any metadata for file {}.".format(self.cur_file.src_path))
print(e)
img.close()
return False
for tag in sorted(tags.keys()):
# These are long and obnoxious/binary
if tag not in ('JPEGThumbnail', 'TIFFThumbnail'):
printable = str(tags[tag])
# Exifreader truncates data.
if len(printable) > 25 and printable.endswith(", ... ]"):
value = tags[tag].values
if isinstance(value, basestring):
printable = value
else:
printable = str(value)
metadataFile.write("Key: {}\tValue: {}\n".format(tag, printable))
self.cur_file.add_log_details('metadata', 'exif')
img.close()
return True
def analyze_pictures(src_folder, dest_folder, pictures):
prevpic = None
curpath = None
curtags = None
filedic = {}
cr2s = []
curpanorama = []
count = 0
date_of_previous_panorama = None
for pic in pictures:
print(pic)
if os.path.splitext(pic)[1].lower() == ".cr2":
cr2s.append(pic)
if os.path.splitext(pic)[1].lower() in ['.jpg', '.jpeg', '.png', '.mov']:
# Get File and ExifTags
curpath = src_folder + pic
with open(curpath, 'rb') as cf:
curtags = exifread.process_file(cf, details=False)
# Calculate Subfolder
filedic[pic] = get_folder(dest_folder,
get_date(curpath, curtags).isoformat())
if prevpic is not None:
prevpath = src_folder + prevpic
with open(prevpath, 'rb') as pf:
prevtags = exifread.process_file(pf, details=False)
if fulfill_panorama_criterias(prevpath, curpath, prevtags, curtags):
if len(curpanorama) == 0:
curpanorama.append(prevpic)
curpanorama.append(pic)
elif len(curpanorama) > 0:
# Just finished a panorama
if date_of_previous_panorama and not date_of_previous_panorama == get_date(prevpath, prevtags):
count = 0
count += 1
for x in curpanorama:
filedic[x] = filedic[x] + "Panorama " + str(count) + "/"
curpanorama = []
date_of_previous_panorama = get_date(prevpath, prevtags)
prevpic = pic
# If last picture was part of panorama
if len(curpanorama) > 0:
if not date_of_previous_panorama == get_date(curpath, curtags):
count = 0
count += 1
for x in curpanorama:
filedic[x] = filedic[x] + "Panorama " + str(count) + "/"
# There has to be a JPG for each CR2 (-> RAW+L ; only RAW not supported yet)
for x in cr2s:
tmp = x.rsplit('.', 1)[0] + '.JPG'
filedic[x] = filedic[tmp]
return filedic
def test_NotfulfillPanoramaCriterias1(self):
path1 = 'test_files/P1010003.JPG'
pic1 = open(path1, 'rb')
pic1_tags = exifread.process_file(pic1, details=False)
path2 = 'test_files/P1010004.JPG'
pic2 = open(path2, 'rb')
pic2_tags = exifread.process_file(pic2, details=False)
case = sorter.fulfill_panorama_criterias(path1, path2, pic1_tags, pic2_tags)
def test_fulfillPanoramaCriterias1(self):
path1 = 'test_files/IMG_5627.JPG'
pic1 = open(path1, 'rb')
pic1_tags = exifread.process_file(pic1, details=False)
path2 = 'test_files/IMG_5628.JPG'
pic2 = open(path2, 'rb')
pic2_tags = exifread.process_file(pic2, details=False)
case = sorter.fulfill_panorama_criterias(path1, path2, pic1_tags, pic2_tags)
self.assertTrue(case)
def EXIF(self, file=None):
try:
if file:
tags = exifread.process_file(file)
else:
with self.image.storage.open(self.image.name, 'rb') as file:
tags = exifread.process_file(file, details=False)
return tags
except:
return {}
def __init__(self, filename, details=False):
'''
Initialize EXIF object with FILE as filename or fileobj
'''
self.filename = filename
if type(filename)==str:
with open(filename, 'rb') as fileobj:
self.tags = exifread.process_file(fileobj, details=details)
else:
self.tags = exifread.process_file(filename, details=details)
def compare(*args):
""""define your compare method here"""
f1 = open(path_name1, 'rb')
tags1 = exifread.process_file(f1) #stores EXIF data of first image file
f2 = open(path_name2, 'rb')
tags2 = exifread.process_file(f2) #stores EXIF data of second image file
if tags1 == tags2:
print "Stop!,%s and %s are similar"%(y[j],y[k])
else:
print(" No similar Images found ")
def read_exif(filename, upload_date, is_image):
exif = exifread.process_file(open(filename, "rb"))
timestamp = None
year, month, day = upload_date.year, upload_date.month, upload_date.day
exif_read = bool(exif)
if "EXIF DateTimeOriginal" in exif:
timestamp = str(exif["EXIF DateTimeOriginal"])
# fmt='2015:12:04 00:50:53'
year, month, day = timestamp.split(" ")[0].split(":")
year, month, day = int(year), int(month), int(day)
dims = None, None
if is_image:
dims = Image.open(filename).size
brand = str(exif.get("Image Make", "Unknown camera"))
model = str(exif.get("Image Model", ""))
return {
"year": year,
"month": month,
"day": day,
"timestamp": timestamp,
"camera": "%s %s" % (brand, model),
"orientation": str(exif.get("Image Orientation", "Horizontal (normal)")),
"width": dims[0],
"height": dims[1],
"size": os.stat(filename).st_size,
"exif_read": exif_read,
}
def verify_exif(filename):
'''
Check that image file has the required EXIF fields.
Incompatible files will be ignored server side.
'''
# required tags in IFD name convention
required_exif = ["GPS GPSLongitude", "GPS GPSLatitude", "EXIF DateTimeOriginal", "Image Orientation", "GPS GPSImgDirection"]
description_tag = "Image ImageDescription"
with open(filename, 'rb') as f:
tags = exifread.process_file(f)
# make sure no Mapillary tags
if description_tag in tags:
if "MAPSequenceUUID" in tags[description_tag].values:
print("File contains Mapillary EXIF tags, use upload.py instead.")
return False
# make sure all required tags are there
for rexif in required_exif:
if not rexif in tags:
print("Missing required EXIF tag: {0}".format(rexif))
return False
return True
def apply(filename, site):
apply.printExif += 1
if apply.printExif==1:
print ' EXIF for %s :' % filename
# Read the EXIF data :
f = open(filename, 'rb')
tags = exifread.process_file(f)
data = {}
for tag in tags.keys():
if tag not in ('JPEGThumbnail', 'TIFFThumbnail', 'Filename'):
if (tags[tag].field_type!=7 or not all(v==0 for v in tags[tag].values)):
c = tag.split()
current = data
for k in range(0, len(c)-1):
if current.get(c[k])==None:
current[c[k]] = {}
current = current[c[k]]
current[c[-1]] = str(tags[tag])
if apply.printExif==1:
print u' TAG <%s> VALUE <%s>' % (tag, tags[tag])
else:
if apply.printExif==1:
print u' OMITTED TAG <%s> VALUE <%s>' % (tag, tags[tag])
f.close()
return (data, '')
def get_new_image_name_translations(indir, outdir):
""" Renames input images using timestamp of
EXIF's DateTimeOriginal tag. """
origpaths = glob.glob("%s/*.[jJ][pP][gG]" % indir)
d = {}
for p in origpaths:
try:
f = open(p)
exif = exifread.process_file(f)
except:
raise
finally:
f.close()
try:
orientation = str(exif["Image Orientation"])
except KeyError:
orientation = None
try:
origtime = str(exif["EXIF DateTimeOriginal"])
time_extracted = True
except KeyError:
print("No exif data!")
time_extracted = False
if time_extracted:
ts = int(time.mktime(datetime.datetime.strptime(origtime, "%Y:%m:%d %H:%M:%S").timetuple()))
else:
ts = int(time.time())
newpath = os.path.join(outdir, str(ts) + ".jpg")
d[p] = {"newpath": newpath, "orientation": orientation }
return d
def image_to_meta(context, use_exif=True, use_iptc=True, use_xmp=True):
meta = {}
if hasattr(context, "image") and context.image:
image = context.image
else:
return {"iptc": {}, "exif": {}, "xmp": {}}
data = image.data
io = StringIO(data)
io.seek(0)
if use_iptc:
meta["iptc"] = IPTCInfo(io, force=True)
io.seek(0)
else:
meta["iptc"] = {}
if use_exif:
meta["exif"] = exifread.process_file(io)
io.seek(0)
else:
meta["exif"] = {}
if use_xmp:
meta["xmp"] = xmp.parse(image.data)
else:
meta["xmp"] = {}
io.close()
return meta
def process_local_dir(fn,prefix,preflong,pictype):
size = 0
sz = 0
count = 0
for root, subFolders, files in os.walk(fn):
for ele in files:
fname = os.path.join(root, ele) #full path name
if ele.endswith(".JPG") and (preflong in fname):
sz = os.path.getsize(fname)
size += sz
count += 1
with open(fname, 'rb') as fjpeg:
tags = exifread.process_file(fjpeg)
stop_tag = 'Image DateTime'
dt_tag = vars(tags[stop_tag])['printable']
#dt_tag: 2014:08:01 19:06:50
dt = datetime.strptime(dt_tag.split()[0], "%Y:%m:%d")
pref = '{0}{1}'.format(dt.year,dt.month)
if pref == '20157':
d = (dt_tag.split()[0]).replace(':','-')
t = dt_tag.split()[1]
newfname = '{0}_{1}_{2}_XXXX.jpg'.format(prefix,d,t)
print '{0},{1}'.format(fname,newfname)
if pref in sum_sz:
sum_sz[pref] += sz
sum_cnt[pref] += 1
else:
sum_sz[pref] = sz
sum_cnt[pref] = 1
return size,count
def print_image_tags(file):
from exifread import process_file
tags = process_file(open(file), strict=True)
for tag in tags.keys():
print "Key: %s, value %s" % (tag, tags[tag])
def date_taken_info(filename):
# Read file
open_file = open(filename, 'rb')
# Return Exif tags
tags = exifread.process_file(open_file, stop_tag='Image DateTime')
try:
# Grab date taken
datetaken_string = tags['Image DateTime']
datetaken_object = datetime.datetime.strptime(datetaken_string.values, '%Y:%m:%d %H:%M:%S')
# Date
day = str(datetaken_object.day).zfill(2)
month = str(datetaken_object.month).zfill(2)
year = str(datetaken_object.year)
# Time
second = str(datetaken_object.second).zfill(2)
minute = str(datetaken_object.minute).zfill(2)
hour = str(datetaken_object.hour).zfill(2)
# New Filename
output = [day,month,year,day + month + year + '-' + hour + minute + second]
return output
except:
return None
def testEXIF(image):
if not image.lower().endswith('.jpg'):
return False
try:
f = open(image, 'r')
except IOError:
print "IOError", image
return False
global lat, lon, latC, lonC
lat = ''
lon = ''
lonC = ''
latC = ''
tags = exifread.process_file(f)
for tag in tags:
if "Lon" in tag:
if "Ref" not in tag:
lon = tags[tag]
else: lonC = str(tags[tag])
if "Lat" in tag:
if "Ref" not in tag:
lat = tags[tag]
else: latC = str(tags[tag])
if lat != '':
return True
return False
def import_images(source_path):
""" Find attached storage and run importing all existing images """
copied, total = 0, 0
for r, d, files in os.walk(source_path):
images = filter(lambda x: x.upper().endswith('JPG'), files)
for image in images:
total += 1
with open(os.path.join(source_path, r, image), 'rb') as f:
try:
created = str(exifread.process_file(f)['Image DateTime'])
except:
continue
d = datetime.strptime(created.split()[0], '%Y:%m:%d')
targetpath = os.path.join(
DATABASE_PHOTOS_PATH, '{:02}'.format(d.month),
'{:02}'.format(d.day))
target = os.path.join(targetpath, image)
if not os.path.exists(target):
try:
os.makedirs(targetpath)
except:
pass
shutil.copyfile(os.path.join(source_path, r, image), target)
copied += 1
sys.stdout.write('.')
def getEXIFTime(fileName):
# get the image time based on EXIF metadata, esle use mod time
newName = ""
f = open(fileName,'rb')
try:
# tags = exifread.process_file(f)
tags = exifread.process_file(f, stop_tag='EXIF DateTimeOriginal', details=False)
# tags = exifread.process_file(f,stop_tag='EXIF DateTime')
# print(tags['EXIF DateTimeOriginal'])
except:
# the error will be caught in the tag processing
pass
try:
# get the exif version date time
EXIFDateTime = str(tags['EXIF DateTimeOriginal'])
# print("EXIFDateTime ="+EXIFDateTime)
#exclude filetype
newName = EXIFDateTime.replace(':','-') #+"."+fileName[-3:]
except:
# else use the file modified date (Creation gets changed on copy)
print ("Couldn't read EXIF date on " + fileName + "\nUsing mod time")
# exclude filetype
newName = getModTime(fileName) # + "."+fileName[-3:]
f.close()
return newName
def resolution_calc(camera, image):
x = 0
try:
camera.resolutions[0] = Image.open(image).size
except IOError:
with open(image, "rb") as fh:
exif_tags = exifread.process_file(
fh, details=False)
try:
width = exif_tags["Image ImageWidth"].values[0]
height = exif_tags["Image ImageLength"].values[0]
if (camera.orientation in ("90", "270")):
temp = height
height = width
width = temp
camera.resolutions[0] = (width, height)
except KeyError:
camera.resolutions[0] = (0, 0)
if (camera.orientation in ("90", "270")):
camera.resolutions[0] = (camera.resolutions[0][1], camera.resolutions[0][0])
for resize_resolution in camera.resolutions:
if resize_resolution[1] is None:
try:
img = camera.resolutions[0]
if camera.orientation in ("90", "270"):
new_res = (img[0] * resize_resolution[0] / img[1], resize_resolution[0])
else:
new_res = (resize_resolution[0],
img[1] * resize_resolution[0] / img[0])
log.debug("One resolution arguments, '{0:d}'".format(new_res[0]))
camera.resolutions[x] = new_res
except Exception as e:
log.debug("Wouldn't calculate resolution arguments" + str(e))
x = x + 1
return camera
def get_resolution(image, camera):
"""Return various resolution numbers for an image."""
try:
if "raw" in camera.image_types and os.path.splitext(image)[-1].lower().strip(".") in RAW_FORMATS:
with open(image, "rb") as fh:
exif_tags = exifread.process_file(
fh, details=False)
try:
width = exif_tags["Image ImageWidth"].values[0]
height = exif_tags["Image ImageLength"].values[0]
if ("rotated 90" in str(exif_tags["Image Orientation"]).lower()):
temp = height
height = width
width = temp
image_resolution = (width, height)
except KeyError:
image_resolution = (0, 0)
else:
try:
image_resolution = Image.open(image).size
except ValueError:
print("Value Error?")
image_resolution = (0, 0)
except IOError:
image_resolution = (0, 0)
folder, res = "originals", 'fullres'
return res, image_resolution, folder
def extract_and_attach_metadata(mediaitem, filepath):
if mediaitem.media_type_cd == 100:
try:
media_file = open(filepath, 'rb')
tags = exifread.process_file(media_file, details=False)
org_date_tag = tags.get('EXIF DateTimeOriginal')
org_date = datetime.now()
if org_date_tag:
org_date = datetime.strptime(str(org_date_tag), '%Y:%m:%d %H:%M:%S')
else:
org_date_tag = tags.get('EXIF DateTimeDigitized')
if org_date_tag:
org_date = datetime.strptime(str(org_date_tag), '%Y:%m:%d %H:%M:%S')
else:
org_date_tag = os.stat(filepath).st_birthtime
if org_date_tag:
org_date = datetime.fromtimestamp(org_date_tag)
else:
org_date_tag = os.stat(filepath).st_ctime
if org_date_tag:
org_date = datetime.fromtimestamp(org_date_tag)
mediaitem.origin_date = org_date
except:
logging.error('failed to extract metadata for: ' + str(mediaitem))
file_size = os.stat(filepath).st_size
mediaitem.file_size = file_size
logging.log(logging.DEBUG, str(mediaitem) + ' - set file size = ' + str(file_size))
def get_lat_long(f):
tags = exifread.process_file(f)
for tag in tags.keys():
if "GPS GPSLongitude" == tag:
gps_long = tags[tag]
if "GPS GPSLatitude" == tag:
gps_latt = tags[tag]
if "GPS GPSLongitudeRef" == tag:
gps_long_ref = tags[tag]
#print "long ref", gps_long_ref
if "GPS GPSLatitudeRef" == tag:
gps_latt_ref = tags[tag]
print "latt ref", gps_latt_ref
if gps_long and gps_latt and gps_long_ref and gps_latt_ref:
lat = convert_to_degrees(gps_latt)
if gps_latt_ref != "N":
lat = 0 - lat
lon = convert_to_degrees(gps_long)
if gps_long_ref != "E":
lon = 0 - lon
return lat, lon
return None, None
def get_exif(picture):
"""
:param picture: Is the image file user selects. Extract EXIF data.
:return:
"""
image = open(picture, 'rb')
tags = exifread.process_file(image)
gps_out = []
what_i_need = ('GPS GPSLatitude', 'GPS GPSLatitudeRef', 'GPS GPSLongitude', 'GPS GPSLongitudeRef')
for tag in what_i_need:
try:
val = "%s" % tags[tag]
if isinstance(val, list):
gps_out.extend(map(str, float(val)))
else:
gps_out.append(val)
except KeyError:
print('Key %s does not exists' % tag)
# Had a list of strings and had to do following code so they wouldn't break when I calculated them.
list1 = gps_out[0]
list2 = gps_out[2]
latitude = list1.strip("[]").split(",")
longitude = list2.strip("[]").split(",")
last_number_lat = latitude[2].split("/")
last_number_long = longitude[2].split("/")
latitude[2] = int(last_number_lat[0]) / int(last_number_lat[1])
longitude[2] = int(last_number_long[0]) / int(last_number_long[1])
latlong_to_degress(latitude, longitude)
def create_thumbnail(self, cache_dir, file_name, subdir, size):
cache_file = os.path.join(cache_dir, file_name)
if not os.path.exists(cache_file):
# determine orientation angle
angle = 0
file_path = os.path.join(subdir, file_name)
with open(file_path, 'rb') as picture:
try:
tags = exifread.process_file(picture)
angle = ROTATION[tags['Image Orientation'].printable]
self.log.info('Rotating by angle: ' + str(angle))
except UnicodeDecodeError:
self.log.info('Error while querying orientation of: '
+ file_path)
except KeyError:
self.log.info('No EXIF tags found for: ' + file_path)
try:
im = Image.open(file_path)
rot = im.rotate(angle)
# make it square
w, h = rot.size
offset = min(rot.size)/2
box = [int(w/2 - offset),
int(h/2 - offset),
int(w/2 + offset),
int(h/2 + offset)]
crop = rot.crop(box)
crop.thumbnail(size)
crop.save(cache_file, rot.format)
self.log.info('Caching: ' + file_name)
except IOError:
self.log.info('Error while opening: ' + file_path)
except UnicodeDecodeError:
self.log.info('Error while processing: ' + file_path)
def extract_metadata(file):
# load the EXIF data
file.seek(0)
tags = exifread.process_file(file, details=False)
print tags
# title
name = None
if "Image ImageDescription" in tags:
name = tags['Image ImageDescription'].values
else:
name = secure_filename(file.filename)
# GPS coordinates
longitude = get_coordinate('GPS GPSLongitude', 'GPS GPSLongitudeRef', tags)
latitude = get_coordinate('GPS GPSLatitude', 'GPS GPSLatitudeRef', tags)
altitude = compute_single_ratio(tags['GPS GPSAltitude'].values[0]) \
if 'GPS GPSAltitude' in tags else None
metadata = {"name": name,
"latitude": latitude,
"longitude": longitude,
"altitude": altitude}
return metadata
def populate_exif(event):
""" Populate EXIF data and location(if not present).
Not all EXIF data is stored. GPS coordinates are converted
to floats.
Test image with GPS data: http://bit.ly/1VTFA5W
"""
url = event.fields['url'].new_value
response = requests.get(url)
image_file = StringIO(response.content)
raw_exif = exifread.process_file(image_file, details=False)
# EXIF data
exclude = ('Thumbnail', 'Interoperability', 'MakerNote', 'GPS')
exif_data = {key: val.printable for key, val in raw_exif.items()
if key.split()[0] not in exclude}
event.set_field_value('exif', exif_data)
# GPS data
loc_field = event.fields.get('location')
if not loc_field or not loc_field.new_value:
gps_data = {key.split()[-1]: val.values
for key, val in raw_exif.items()
if key.startswith('GPS')}
lat, lon = get_lat_lon(gps_data)
event.set_field_value('location', {'lat': lat, 'lon': lon})
def render_thumb(width, imgfile):
try:
imgpath=pkg_resources.resource_filename('vishwin_http.views', 'img/' + imgfile)
thumbfile=width + 'px-' + imgfile
thumbpath=pkg_resources.resource_filename('vishwin_http.views', 'generated/thumb/' + thumbfile)
# get file modified time for original; will throw exception if not found
mtime_orig=os.path.getmtime(imgpath)
if not (os.path.isfile(thumbpath)) or (os.path.getmtime(thumbpath) < mtime_orig):
img=open(imgpath, 'rb')
tags=exifread.process_file(img, details=False, stop_tag='Image_Orientation')
img.close()
# reopen using PIL
img=Image.open(imgpath)
# upon transpose, format attribute in object is cleared
format=img.format
if 'Image Orientation' in tags:
if tags['Image Orientation'].values[0]>=5:
# rotations in PIL(low) are anti-clockwise, would be easier if clockwise was default
img=img.transpose(Image.ROTATE_270)
if (tags['Image Orientation'].values[0]==(3 or 4)) or tags['Image Orientation'].values[0]>=7:
img=img.transpose(Image.ROTATE_180)
# flipped images
if tags['Image Orientation'].values[0]==(2 or 4 or 5 or 7):
img=img.transpose(Image.FLIP_LEFT_RIGHT)
img.thumbnail((int(width), int(width)/(img.size[0]/img.size[1])))
img.save(thumbpath, format)
img.close()
return send_file(thumbpath, mimetype=guess_type(imgpath)[0])
except OSError:
abort(404)
def tags(self): if self._tags == None: if self.file_container != None: self._tags = self.file_container.tags else: self._tags = exifread.process_file(self.handle, details=False) return self._tags
def do_post(path):
print "Posting..."
t = Tumblpy("","",
"","")
tbuff = textview.get_buffer()
article_text = ""
if isWeather.get_active():
article_text = get_date_desc() + weatherProvider.get_weather()
article_text = article_text + tbuff.get_text(tbuff.get_start_iter(), tbuff.get_end_iter())
blog_url = t.post('user/info')
blog_url = blog_url['user']['blogs'][1]['url']
if path.get_text() !="No image":
photo = open(path.get_text(), 'rb')
ephoto = open(path.get_text(), 'rb')
tags = "catumblr , "+ platform.node()
etags = exifread.process_file(ephoto)
if etags.has_key('Image Model'):
tags = "catumblr , "+ platform.node() + ", " + str(etags['Image Model'])
p_params = {'type':'photo', 'caption': article_text, 'data': photo, 'tags':tags}
ephoto.close()
else:
tags = "catumblr , "+ platform.node()
time_caption = strftime("%Y-%m-%d %H:%M:%S", gmtime())
p_params = {'type':'text', 'body': article_text, 'caption': time_caption, 'tags':tags}
post = t.post('post', blog_url=blog_url, params=p_params)
print post # returns id if posted successfully
import os, sys
import exifread
import datetime
print('Input file')
f = sys.argv[1]
handle = open(f, 'rb')
tags = exifread.process_file(handle)
DateTime = tags["Image DateTime"]
DateTimeOriginal = tags["EXIF DateTimeOriginal"]
DateTimeDigitized = tags["EXIF DateTimeDigitized"]
print('EXIF DATA')
print('DateTime')
print(DateTime)
print('DateTimeOriginal')
print(DateTimeOriginal)
print('DateTimeDigitized')
print(DateTimeDigitized)
ctime = datetime.datetime.fromtimestamp(os.path.getctime(f)) #create time
mtime = datetime.datetime.fromtimestamp(os.path.getmtime(f)) #modify time
atime = datetime.datetime.fromtimestamp(os.path.getatime(f)) #access time
atimea = atime.strftime('%Y:%m:%d %H:%M:%S')
mtimea = mtime.strftime('%Y:%m:%d %H:%M:%S')
ctimea = ctime.strftime('%Y:%m:%d %H:%M:%S')
print('\n')
print('SYSTEM DATA')
inDirPath = sys.argv[1]
outDirPath = sys.argv[2]
filesList = glob.glob(inDirPath + '/**/*', recursive=True)
for filePath in filesList:
filename = os.path.basename(filePath)
if filename.endswith(".nef") or filename.endswith(
".jpg") or filename.endswith(".jpeg") or filename.endswith(
".png") or filename.endswith(".mp4"):
print("### " + filename + " ####################")
nefFile = open(filePath, 'rb')
try:
exifData = exifread.process_file(nefFile)
except Exception as exc:
print("Cant parse exif for " + filename + "; skipping")
continue
print(exifData)
#cameraID = str(exifData.get("Image Model"))
date = str(exifData.get("EXIF DateTimeOriginal",
"Unknown_Date")) #try get a date from file
if date == "Unknown_Date":
os.makedirs(str(outDirPath + "/" + date), exist_ok=True)
nefFolderName = date
nefOutputPath = outDirPath + "/" + date + "/" + filename
else:
def extract_exif_data(jpeg_file_path):
"""Extract JPEG image EXIF data"""
jpeg_file = open(jpeg_file_path, 'rb')
exif_data = exifread.process_file(jpeg_file)
return exif_data
def iso_from_exif(img_path: Path):
tags = exifread.process_file(img_path.open("rb"), details=False)
return tags["EXIF ISOSpeedRatings"].values[0]
def read_roi_file(fpath):
"""
"""
if isinstance(fpath, str):
fp = open(fpath, 'rb')
exif_data = exif.process_file(fp)
fp.close()
tag = exif_data['Image Tag 0xC697']
data = bytes(tag.values)[12:]
# a = bs.ConstBitStream(bytes=s)
name = os.path.splitext(os.path.basename(fpath))[0]
else:
# raise an error
return None
size = len(data)
code = '>'
roi = {}
magic = get_byte(data, list(range(4)))
magic = "".join([chr(c) for c in magic])
# TODO: raise error if magic != 'Iout'
version = get_short(data, OFFSET['VERSION_OFFSET'])
type = get_byte(data, OFFSET['TYPE'])
subtype = get_short(data, OFFSET['SUBTYPE'])
top = get_short(data, OFFSET['TOP'])
left = get_short(data, OFFSET['LEFT'])
if top > 6000:
top -= 2**16
if left > 6000:
left -= 2**16
bottom = get_short(data, OFFSET['BOTTOM'])
right = get_short(data, OFFSET['RIGHT'])
width = right - left
height = bottom - top
n = get_short(data, OFFSET['N_COORDINATES'])
options = get_short(data, OFFSET['OPTIONS'])
position = get_int(data, OFFSET['POSITION'])
hdr2Offset = get_int(data, OFFSET['HEADER2_OFFSET'])
sub_pixel_resolution = (
options == OPTIONS['SUB_PIXEL_RESOLUTION']) and version >= 222
draw_offset = sub_pixel_resolution and (options == OPTIONS['DRAW_OFFSET'])
sub_pixel_rect = version >= 223 and sub_pixel_resolution and (
type == ROI_TYPE['rect'] or type == ROI_TYPE['oval'])
# Untested
if sub_pixel_rect:
packed_data = fp.read(16)
s = struct.Struct(code + '4f')
xd, yd, widthd, heightd = s.unpack(packed_data)
# Untested
if hdr2Offset > 0 and hdr2Offset + HEADER_OFFSET['IMAGE_SIZE'] + 4 <= size:
channel = get_int(data, hdr2Offset + HEADER_OFFSET['C_POSITION'])
slice = get_int(data, hdr2Offset + HEADER_OFFSET['Z_POSITION'])
frame = get_int(data, hdr2Offset + HEADER_OFFSET['T_POSITION'])
overlayLabelColor = get_int(
data, hdr2Offset + HEADER_OFFSET['OVERLAY_LABEL_COLOR'])
overlayFontSize = get_short(
data, hdr2Offset + HEADER_OFFSET['OVERLAY_FONT_SIZE'])
imageOpacity = get_byte(data,
hdr2Offset + HEADER_OFFSET['IMAGE_OPACITY'])
imageSize = get_int(data, hdr2Offset + HEADER_OFFSET['IMAGE_SIZE'])
is_composite = get_int(data, OFFSET['SHAPE_ROI_SIZE']) > 0
# Not implemented
# if is_composite:
# if version >= 218:
# # Not implemented
# pass
# if channel > 0 or slice > 0 or frame > 0:
# pass
if type == ROI_TYPE['rect']:
roi = {'type': 'rectangle'}
if sub_pixel_rect:
roi.update(dict(left=xd, top=yd, width=widthd, height=heightd))
else:
roi.update(dict(left=left, top=top, width=width, height=height))
roi['arc_size'] = get_short(data, OFFSET['ROUNDED_RECT_ARC_SIZE'])
elif type == ROI_TYPE['oval']:
roi = {'type': 'oval'}
if sub_pixel_rect:
roi.update(dict(left=xd, top=yd, width=widthd, height=heightd))
else:
roi.update(dict(left=left, top=top, width=width, height=height))
elif type == ROI_TYPE['line']:
roi = {'type': 'line'}
x1 = get_float(data, OFFSET['X1'])
y1 = get_float(data, OFFSET['Y1'])
x2 = get_float(data, OFFSET['X2'])
y2 = get_float(data, OFFSET['Y2'])
if subtype == SUBTYPES['ARROW']:
# Not implemented
pass
else:
roi.update(dict(x1=x1, x2=x2, y1=y1, y2=y2))
roi['draw_offset'] = draw_offset
elif type in [
ROI_TYPE[t]
for t in [
"polygon", "freehand", "traced", "polyline", "freeline",
"angle", "point"
]
]:
x = []
y = []
base1 = OFFSET['COORDINATES']
base2 = base1 + 2 * n
for i in range(n):
xtmp = get_short(data, base1 + i * 2)
if xtmp < 0:
xtmp = 0
ytmp = get_short(data, base2 + i * 2)
if ytmp < 0:
ytmp = 0
x.append(left + xtmp)
y.append(top + ytmp)
if sub_pixel_resolution:
xf = []
yf = []
base1 = OFFSET['COORDINATES'] + 4 * n
base2 = base1 + 4 * n
for i in range(n):
xf.append(get_float(data, base1 + i * 4))
yf.append(get_float(data, base2 + i * 4))
if type == ROI_TYPE['point']:
roi = {'type': 'point'}
if sub_pixel_resolution:
roi.update(dict(x=xf, y=yf, n=n))
else:
roi.update(dict(x=x, y=y, n=n))
if type == ROI_TYPE['polygon']:
roi = {'type': 'polygon'}
elif type == ROI_TYPE['freehand']:
roi = {'type': 'freehand'}
if subtype == SUBTYPES['ELLIPSE']:
ex1 = get_float(data, OFFSET['X1'])
ey1 = get_float(data, OFFSET['Y1'])
ex2 = get_float(data, OFFSET['X2'])
ey2 = get_float(data, OFFSET['Y2'])
roi['aspect_ratio'] = get_float(data,
OFFSET['ELLIPSE_ASPECT_RATIO'])
roi.update(dict(ex1=ex1, ey1=ey1, ex2=ex2, ey2=ey2))
elif type == ROI_TYPE['traced']:
roi = {'type': 'traced'}
elif type == ROI_TYPE['polyline']:
roi = {'type': 'polyline'}
elif type == ROI_TYPE['freeline']:
roi = {'type': 'freeline'}
elif type == ROI_TYPE['angle']:
roi = {'type': 'angle'}
else:
roi = {'type': 'freeroi'}
if sub_pixel_resolution:
roi.update(dict(x=xf, y=yf, n=n))
else:
roi.update(dict(x=x, y=y, n=n))
else:
# TODO: raise an error for 'Unrecognized ROI type'
pass
roi['name'] = name
if version >= 218:
# Not implemented
# Read stroke width, stroke color and fill color
pass
if version >= 218 and subtype == SUBTYPES['TEXT']:
# Not implemented
# Read test ROI
pass
if version >= 218 and subtype == SUBTYPES['IMAGE']:
# Not implemented
# Get image ROI
pass
roi['position'] = position
# if channel > 0 or slice > 0 or frame > 0:
# roi['position'] = dict(channel=channel, slice=slice, frame=frame)
return roi
import exifread
'''Uses exifread package (install using "sudo pip install exifread")'''
f = open("../rawimages/HDRset_1/_DSC1718.ARW.tiff", 'rb')
tags = exifread.process_file(f, details=False)
f.close()
#Only output exif tags
for tag in tags.keys():
if 'EXIF' in tag:
print "%s: %s" % (tag, tags[tag])
#Output specific values
fnumber = tags["EXIF FNumber"]
exposureTime = tags["EXIF ExposureTime"]
focalLength = tags["EXIF FocalLength"]
ISOspeed = tags["EXIF ISOSpeedRatings"]
print fnumber, exposureTime, focalLength, ISOspeed
'''
Documentation for @ https://pypi.python.org/pypi/ExifRead
Example: processing tags
-Code
for tag in tags.keys():
#omit some tags that tend to be too long or boring
if tag not in ('JPEGThumbnail', 'TIFFThumbnail', 'Filename', 'EXIF MakerNote'):
print "Key: %s, value %s" % (tag, tags[tag])
import exifread
f = open(r'C:\Users\jacob\Desktop\Python\exif\img_1771.jpg', 'rb')
tags = exifread.process_file(f)
print("\nBelow is some information hidden in your image:\n")
for tag in tags.keys():
if tag not in ('JPEGThumbnail', 'TIFFThumbnail', 'FileName',
'EXIF Makernote'):
print("\t%s: %s" % (tag, tags[tag]))
def _get_all_exif(self, pathname):
img = open(pathname, 'rb')
tags = exifread.process_file(img)
return tags
def uploadImage(self, image):
"""
Upload a single image. Returns the photoid, or None on failure.
"""
folderTag = image[len(IMAGE_DIR):]
if self.uploaded.has_key(folderTag):
stats = os.stat(image)
logging.debug('The file %s already exists: mtime=%d, size=%d',
image, stats.st_mtime, stats.st_size)
data = self.uploaded[folderTag]
if not isinstance(data, tuple):
logging.error(
'Should not have non-tuple data but continuing in any case'
)
self.uploaded[folderTag] = (data, stats.st_mtime,
stats.st_size)
return None
else:
photo_id = data[0]
mtime = data[1]
filesize = data[2]
if mtime != stats.st_mtime or filesize != stats.st_size:
logging.info('File has changed since previous time')
logging.info('Removing %s from Flickr before updating',
data[0])
photo = flickr.Photo(data[0])
try:
photo.delete()
del self.uploaded[folderTag]
del self.uploaded[photo_id]
except flickr.FlickrError:
logging.info('File does not exist, adding')
else:
return None
try:
logging.debug("Getting EXIF for %s", image)
f = open(image, 'rb')
try:
exiftags = exifread.process_file(f)
except MemoryError:
exiftags = {}
f.close()
#print exiftags[XPKEYWORDS]
#print folderTag
# make one tag equal to original file path with spaces replaced by
# # and start it with # (for easier recognition) since space is
# used as TAG separator by flickr
# this is needed for later syncing flickr with folders
# look for / \ _ . and replace them with SPACE to make real Tags
realTags = re.sub(r'[/\\_.]', ' ',
os.path.dirname(folderTag)).strip()
if configdict.get('full_folder_tags', 'false').startswith('true'):
realTags = os.path.dirname(folderTag).split(os.sep)
realTags = (' '.join('"' + item + '"' for item in realTags))
picTags = '"#' + folderTag + '" ' + realTags
#check if we need to override photo dates
if configdict.get('override_dates', '0') == '1':
dateTaken = datePosted = ''
dateTakenGranularity = configdict.get('date_taken_granularity',
'0')
#fixed take date
if configdict.get('date_taken_type', '0') == '2':
datePosted = configdict.get('date_posted_fixed', '')
#fixed post date
if configdict.get('date_posted_type', '0') == '2':
datePosted = configdict.get('date_posted_fixed', '')
#Use year and month from config ini, then calculate end of month (note: Flickr does not accept future dates. You'll get current date maximum)
if configdict.get('date_posted_granularity', '0') == '4':
datePostedY = int(
datetime.fromtimestamp(datePosted).strftime("%Y"))
datePostedM = int(
datetime.fromtimestamp(datePosted).strftime("%m"))
datePostedD = calendar.monthrange(
datePostedY, datePostedM)[1]
datePosted = int(
(datetime(datePostedY, datePostedM, datePostedD,
23, 59, 59) -
datetime(1970, 1, 1)).total_seconds())
#Use year from config ini, then calculate end of year (note: Flickr does not accept future dates. You'll get current date maximum)
if configdict.get('date_posted_granularity', '0') == '6':
datePostedY = int(
datetime.fromtimestamp(datePosted).strftime("%Y"))
datePosted = int(
(datetime(datePostedY, 12, 31, 23, 59, 59) -
datetime(1970, 1, 1)).total_seconds())
#Convert timestamp to GMT zone
dateZone = configdict.get('date_posted_utc', '0')
if dateZone != '0':
datePosted = datePosted - int(dateZone) * 3600
if exiftags == {}:
logging.debug('NO_EXIF_HEADER for %s', image)
else:
if configdict.get('override_dates', '0') == '1':
if 'EXIF DateTimeDigitized' in exiftags:
dateExif = str(exiftags['EXIF DateTimeDigitized'])
dateExif = dateExif[0:10].replace(':',
'-') + dateExif[10:]
dateUnix = int((datetime(
int(dateExif[0:4]), int(dateExif[5:7]),
int(dateExif[8:10]), int(dateExif[11:13]),
int(dateExif[14:16]), int(dateExif[17:19])) -
datetime(1970, 1, 1)).total_seconds())
if configdict.get('date_taken_type', '0') == '1':
dateTaken = dateExif
if configdict.get('date_posted_type', '0') == '1':
datePosted = dateUnix
#Use year and month from dateExif, then calculate end of month (note: Flickr does not accept future dates. You'll get current date maximum)
if configdict.get('date_posted_granularity',
'0') == '4':
datePostedY = int(
datetime.fromtimestamp(
datePosted).strftime("%Y"))
datePostedM = int(
datetime.fromtimestamp(
datePosted).strftime("%m"))
datePostedD = calendar.monthrange(
datePostedY, datePostedM)[1]
datePosted = int(
(datetime(datePostedY, datePostedM,
datePostedD, 23, 59, 59) -
datetime(1970, 1, 1)).total_seconds())
#Use year from dateExif, then calculate end of year (note: Flickr does not accept future dates. You'll get current date maximum)
if configdict.get('date_posted_granularity',
'0') == '6':
datePostedY = int(
datetime.fromtimestamp(
datePosted).strftime("%Y"))
datePosted = int((
datetime(datePostedY, 12, 31, 23, 59, 59) -
datetime(1970, 1, 1)).total_seconds())
#Convert timestamp to GMT zone
dateZone = configdict.get('date_posted_utc', '0')
if dateZone != '0':
datePosted = datePosted - int(dateZone) * 3600
# look for additional tags in EXIF to tag picture with
if XPKEYWORDS in exiftags:
printable = exiftags[XPKEYWORDS].printable
if len(printable) > 4:
exifstring = exifread.make_string(eval(printable))
picTags += exifstring.replace(';', ' ')
picTags = picTags.strip()
logging.info("Uploading image %s with tags %s", image, picTags)
photo = ('photo', image, open(image, 'rb').read())
d = {
api.token: str(self.token),
api.perms: str(self.perms),
"tags": str(picTags),
"hidden": str(FLICKR["hidden"]),
"is_public": str(FLICKR["is_public"]),
"is_friend": str(FLICKR["is_friend"]),
"is_family": str(FLICKR["is_family"])
}
sig = signCall(d)
d[api.sig] = sig
d[api.key] = FLICKR[api.key]
url = buildRequest(api.upload, d, (photo, ))
res = getResponse(url)
if isGood(res):
logging.debug("successful.")
photoid = str(res.photoid.text)
self.logUpload(photoid, folderTag, image)
if configdict.get('override_dates', '0') == '1':
self.overrideDates(image, photoid, datePosted, dateTaken,
dateTakenGranularity)
return photoid
else:
print "problem.."
reportError(res)
except KeyboardInterrupt:
logging.debug("Keyboard interrupt seen, abandon uploads")
print "Stopping uploads..."
self.abandonUploads = True
return None
except:
logging.exception("Upload failed")
return None
# Changing working directory to unprocessed folder
os.chdir('/srv/ObjectDB/unprocessed')
cursor = db.cursor() # Create a cursor for MySQL commands
# Loop forever
while (True):
files = os.listdir('.') # Populate list of files
if (files != ''): # Only run when folder is not empty
for x in files:
print('Processing file: ' + x)
f = open(x, 'rb') # Open the file
filename = uuid.uuid4().hex
odapi_output = pickle.dumps(odapi_adapter.get_objects(
f.name)) # Pickle odapi_output
exif = pickle.dumps(exifread.process_file(f)) # Pickle EXIF
os.system('mv ' + x + ' ../processed/' +
filename) # Move file to processed folder
os.chdir('/srv/ObjectDB/EXIF')
with open(filename + "-exif.json",
'wb') as output: # Dump EXIF into /srv/ObjectDB/EXIF
output.write(exif)
os.chdir('/srv/ObjectDB/odapi_output')
with open(
filename + "-odapi_output.json", 'wb'
) as output: # Dump ODAPI output into /srv/ObjectDB/odapi_output
output.write(odapi_output)
os.chdir('/srv/ObjectDB/unprocessed')
data_image = ('/srv/ObjectDB/processed/' + filename,
'/srv/ObjectDB/EXIF/' + filename + '-exif.json',
'/srv/ObjectDB/odapi_output/' + filename +
import exifread
# Read in image from disk in binary format
o = open("file1.jpg",'r+b')
tags = exifread.process_file(o)
for tag in tags.keys():
if tag not in ('JPEGThumbnail', 'TIFFThumbnail', 'EXIF MakerNote'):
print("%s @ %s" % (tag, tags[tag]))
print("-----------------------BREAK---------------------")
o = open("file2.jpg",'r+b')
tags = exifread.process_file(o, stop_tag='UNDEF')
print("EXIF ExifImageWidth @ %s" % ( tags['EXIF ExifImageWidth']))
print("EXIF ExifImageLenght @ %s" % ( tags['EXIF ExifImageLength']))
if tags['Image Make'] :
# print("Image Make @ %s" % ( tags['Image Make']))
print("TRUE")
else :
print("FALSE")
# print("Image Make @ NULL")
# for tag in tags.keys():
# if tag not in ('JPEGThumbnail', 'TIFFThumbnail', 'EXIF MakerNote'):
# print("%s @ %s" % (tag, tags[tag]))
# print("EXIF ExifImageWidth @ %s" % ( tags['EXIF ExifImageWidth']))
print("-----------------------BREAK---------------------")
o = open("file3.jpg",'r+b')
tags = exifread.process_file(o)
for tag in tags.keys():
def parse_exif_values(self, _path_file):
# Disable exifread log
logging.getLogger('exifread').setLevel(logging.CRITICAL)
with open(_path_file, 'rb') as f:
tags = exifread.process_file(f, details=False)
try:
if 'Image Make' in tags:
try:
self.camera_make = tags['Image Make'].values
except UnicodeDecodeError:
log.ODM_WARNING("EXIF Image Make might be corrupted")
self.camera_make = "unknown"
if 'Image Model' in tags:
try:
self.camera_model = tags['Image Model'].values
except UnicodeDecodeError:
log.ODM_WARNING("EXIF Image Model might be corrupted")
self.camera_model = "unknown"
if 'GPS GPSAltitude' in tags:
self.altitude = self.float_value(tags['GPS GPSAltitude'])
if 'GPS GPSAltitudeRef' in tags and self.int_value(
tags['GPS GPSAltitudeRef']) > 0:
self.altitude *= -1
if 'GPS GPSLatitude' in tags and 'GPS GPSLatitudeRef' in tags:
self.latitude = self.dms_to_decimal(
tags['GPS GPSLatitude'], tags['GPS GPSLatitudeRef'])
if 'GPS GPSLongitude' in tags and 'GPS GPSLongitudeRef' in tags:
self.longitude = self.dms_to_decimal(
tags['GPS GPSLongitude'], tags['GPS GPSLongitudeRef'])
except (IndexError, ValueError) as e:
log.ODM_WARNING("Cannot read basic EXIF tags for %s: %s" %
(_path_file, str(e)))
try:
if 'Image Tag 0xC61A' in tags:
self.black_level = self.list_values(
tags['Image Tag 0xC61A'])
elif 'BlackLevel' in tags:
self.black_level = self.list_values(tags['BlackLevel'])
if 'EXIF ExposureTime' in tags:
self.exposure_time = self.float_value(
tags['EXIF ExposureTime'])
if 'EXIF FNumber' in tags:
self.fnumber = self.float_value(tags['EXIF FNumber'])
if 'EXIF ISOSpeed' in tags:
self.iso_speed = self.int_value(tags['EXIF ISOSpeed'])
elif 'EXIF PhotographicSensitivity' in tags:
self.iso_speed = self.int_value(
tags['EXIF PhotographicSensitivity'])
elif 'EXIF ISOSpeedRatings' in tags:
self.iso_speed = self.int_value(
tags['EXIF ISOSpeedRatings'])
if 'Image BitsPerSample' in tags:
self.bits_per_sample = self.int_value(
tags['Image BitsPerSample'])
if 'EXIF DateTimeOriginal' in tags:
str_time = tags['EXIF DateTimeOriginal'].values
utc_time = datetime.strptime(str_time, "%Y:%m:%d %H:%M:%S")
subsec = 0
if 'EXIF SubSecTime' in tags:
subsec = self.int_value(tags['EXIF SubSecTime'])
negative = 1.0
if subsec < 0:
negative = -1.0
subsec *= -1.0
subsec = float('0.{}'.format(int(subsec)))
subsec *= negative
ms = subsec * 1e3
utc_time += timedelta(milliseconds=ms)
timezone = pytz.timezone('UTC')
epoch = timezone.localize(datetime.utcfromtimestamp(0))
self.utc_time = (timezone.localize(utc_time) -
epoch).total_seconds() * 1000.0
except Exception as e:
log.ODM_WARNING("Cannot read extended EXIF tags for %s: %s" %
(_path_file, str(e)))
# Extract XMP tags
f.seek(0)
xmp = self.get_xmp(f)
for tags in xmp:
try:
band_name = self.get_xmp_tag(
tags, ['Camera:BandName', '@Camera:BandName'])
if band_name is not None:
self.band_name = band_name.replace(" ", "")
self.set_attr_from_xmp_tag(
'band_index',
tags,
[
'DLS:SensorId', # Micasense RedEdge
'@Camera:RigCameraIndex', # Parrot Sequoia, Sentera 21244-00_3.2MP-GS-0001
'Camera:RigCameraIndex', # MicaSense Altum
])
self.set_attr_from_xmp_tag(
'radiometric_calibration', tags, [
'MicaSense:RadiometricCalibration',
])
self.set_attr_from_xmp_tag('vignetting_center', tags, [
'Camera:VignettingCenter',
'Sentera:VignettingCenter',
])
self.set_attr_from_xmp_tag('vignetting_polynomial', tags, [
'Camera:VignettingPolynomial',
'Sentera:VignettingPolynomial',
])
self.set_attr_from_xmp_tag('horizontal_irradiance', tags,
['Camera:HorizontalIrradiance'],
float)
self.set_attr_from_xmp_tag(
'irradiance_scale_to_si', tags,
['Camera:IrradianceScaleToSIUnits'], float)
self.set_attr_from_xmp_tag('sun_sensor', tags, [
'Camera:SunSensor',
], float)
self.set_attr_from_xmp_tag('spectral_irradiance', tags, [
'Camera:SpectralIrradiance',
'Camera:Irradiance',
], float)
# Phantom 4 RTK
if '@drone-dji:RtkStdLon' in tags:
y = float(
self.get_xmp_tag(tags, '@drone-dji:RtkStdLon'))
x = float(
self.get_xmp_tag(tags, '@drone-dji:RtkStdLat'))
self.gps_xy_stddev = max(x, y)
if '@drone-dji:RtkStdHgt' in tags:
self.gps_z_stddev = float(
self.get_xmp_tag(tags, '@drone-dji:RtkStdHgt'))
else:
self.set_attr_from_xmp_tag(
'gps_xy_stddev', tags,
['@Camera:GPSXYAccuracy', 'GPSXYAccuracy'], float)
self.set_attr_from_xmp_tag(
'gps_z_stddev', tags,
['@Camera:GPSZAccuracy', 'GPSZAccuracy'], float)
if 'DLS:Yaw' in tags:
self.set_attr_from_xmp_tag('dls_yaw', tags,
['DLS:Yaw'], float)
self.set_attr_from_xmp_tag('dls_pitch', tags,
['DLS:Pitch'], float)
self.set_attr_from_xmp_tag('dls_roll', tags,
['DLS:Roll'], float)
except Exception as e:
log.ODM_WARNING("Cannot read XMP tags for %s: %s" %
(_path_file, str(e)))
# self.set_attr_from_xmp_tag('center_wavelength', tags, [
# 'Camera:CentralWavelength'
# ], float)
# self.set_attr_from_xmp_tag('bandwidth', tags, [
# 'Camera:WavelengthFWHM'
# ], float)
self.width, self.height = get_image_size.get_image_size(_path_file)
# Sanitize band name since we use it in folder paths
self.band_name = re.sub('[^A-Za-z0-9]+', '', self.band_name)
def getMetadata(image):
_file = open(image, 'rb')
tags = exifread.process_file(_file)
return {i: str(tags[i]) for i in tags.keys()}
def extractTag(self):
stemmer = LancasterStemmer()
querytagfile = self.querypath.replace("jpg","txt");
imgname = self.querypath[self.querypath.rfind(os.sep)+1:]
query_known = self.known_query_tags.get(imgname, None)
if (query_known != None):
fs = open("test"+os.sep+"test_text_tags.txt","r")
fs.seek(query_known)
line = fs.readline().split()[1:]
string = []
for term in line:
try:
tag = stemmer.stem(term)
if (isinstance(tag, unicode) == False):
tag = unicode(tag, "utf-8")
string.append(tag)
except UnicodeDecodeError:
continue
string = " ".join(string)
self.tags = [string,]
fs.close()
elif (os.path.isfile(querytagfile)):
fs = open(querytagfile,"r")
line = fs.readline().split()
string = []
for term in line:
try:
tag = stemmer.stem(term)
if (isinstance(tag, unicode) == False):
tag = unicode(tag, "utf-8")
string.append(tag)
except UnicodeDecodeError:
continue
string = " ".join(string)
self.tags = [string,]
else:
img = open(self.querypath, 'rb')
exif = exifread.process_file(img)
keyword = ""
try:
comment = ast.literal_eval(str(eval("exif['Image XPComment']")))
comment = comment[0:-2:2]
comment = ''.join(chr(i) for i in comment)
comment = comment.replace(";","")
except KeyError:
comment = ""
except SyntaxError:
print 'comment',exif['Image XPComment']
try:
keyword = ast.literal_eval(str(eval("exif['Image XPKeywords']")))
keyword = keyword[0:-2:2]
keyword = ''.join(chr(i) for i in keyword)
keyword = keyword.replace(";","")
except KeyError:
keyword = ""
except SyntaxError:
print 'keyword', exif['Image XPKeywords']
line = keyword + comment;
string = []
for term in line:
try:
tag = stemmer.stem(term)
if (isinstance(tag, unicode) == False):
tag = unicode(tag, "utf-8")
string.append(tag)
except UnicodeDecodeError:
continue
string = " ".join(string)
self.tags = [string,]
print "here are the tags"
print self.tags
img.close()
def exif_rename(top_dir, dry_run=True):
top = path.normcase(top_dir)
log = codecs.open('log.txt', 'w', 'utf-8')
count = 0
for root, dirs, files in os.walk(top):
for name in files:
base, ext = path.splitext(name)
if not ext or ext.lower() not in ['.jpg', '.tiff']:
continue
rel_path = path.join(root, name)
src_path = path.abspath(rel_path)
# print("Processing: %s" % src_path)
f = open(path.join(root, name), 'rb')
tags = exifread.process_file(f)
f.close()
if not tags:
print('No exif tags found: %s\n' % name)
log.write('N:' + src_path + '\n')
continue
exif_d1 = tags.get('EXIF DateTimeDigitized')
exif_d2 = tags.get('EXIF DateTimeOriginal')
exif_d3 = tags.get('Image DateTime')
exif_date_time_obj = exif_d1 or exif_d2 or exif_d3
if not exif_date_time_obj:
print("Exif date not found, skip %s" % name)
log.write('I:' + src_path + '\n')
continue
# print("Exif date: %s" % exif_date_time_obj)
try:
exif_date_time_str = str(exif_date_time_obj)
exif_date_time = datetime.strptime(exif_date_time_str,
EXIF_DATE_TIME)
except:
print("Invalid exif date: %s" % name)
log.write('D:' + src_path + '\n')
continue
if not exif_date_time:
print("Exif date not found, skip %s" % name)
log.write('T:' + src_path + '\n')
continue
name_str = datetime.strftime(exif_date_time, NAME_DATE_TIME)
if name_str == base:
# print('Skip exists %s' % dst_path)
# log.write('E:'+src_path_u+'\n')
continue
### remove duplicate file start ###
dst_path = path.join(root, name_str + ext.lower())
if path.exists(dst_path):
count += 1
if not dry_run:
if os.path.getsize(dst_path) == os.path.getsize(src_path):
os.remove(src_path)
print('[%s] Delete duplicate %s' % (count, src_path))
else:
print('[DRY RUN %s] Delete duplicate %s' %
(count, src_path))
continue
### remove duplicate file end ###
while path.exists(path.join(root, name_str + ext.lower())):
name_str += 'x'
dst_path = path.join(root, name_str + ext.lower())
if path.exists(dst_path):
# print('Skip exists %s' % src_path)
# log.write('E:'+src_path_u+'\n')
continue
count += 1
if not dry_run:
os.rename(src_path, dst_path)
print('[%s] Renamed to %s' % (count, dst_path))
else:
print('[DRY RUN %s] Renamed to %s' % (count, dst_path))
log.flush()
log.close()
def get_exif(self):
img = open(self.filepath, 'rb')
exif = exifread.process_file(img)
img.close()
return exif
if gps_latitude and gps_latitude_ref and gps_longitude and gps_longitude_ref:
lat = _convert_to_degress(gps_latitude)
if gps_latitude_ref.values[0] != 'N':
lat = 0 - lat
lon = _convert_to_degress(gps_longitude)
if gps_longitude_ref.values[0] != 'E':
lon = 0 - lon
return lat, lon
# Iterates through photos in photos_dir, reads metadata, writes coordinates (if any) and metadata to our geojson object
for photo_name in os.listdir(os.path.abspath(photos_dir)):
with open(os.path.join(os.path.abspath(photos_dir), photo_name)) as photo:
tags = exifread.process_file(photo)
if 'GPS GPSLongitude' in tags:
datetime_obj = datetime.datetime.strptime(
str(tags['Image DateTime']), '%Y:%m:%d %H:%M:%S')
lat, lon = get_exif_location(tags)
alt_meters = str(tags['GPS GPSAltitude'])
date = datetime_obj.strftime('%Y-%m-%d')
time = datetime_obj.strftime('%-I:%M:%S %p')
name = photo_name
output_geojson['features'].append({
"type": "Feature",
"properties": {
"date": date,
"time": time,
def process_directory(dir_path, dir_depth, options):
global files_count, processed_count, renamed_count, skipped_count, failed_count
if options.max_depth > 0:
print('Processing directory path "%s" recursively at depth %d ... ' % (dir_path.resolve(), dir_depth))
else:
print('Processing directory path "%s" non-recursively ... ' % dir_path.resolve())
for tmp_path in dir_path.iterdir():
# print(' DEBUG: tmp_path=%r' % tmp_path)
if tmp_path.is_dir():
if options.max_depth > dir_depth:
process_directory(tmp_path, dir_depth +1, options)
continue
else:
print(' WARNING: Not processing sub-directory path "%s", because of reached maximum depth of %d ... ' % (tmp_path, options.max_depth))
elif not tmp_path.is_file():
print(' INFO: Path "%s" is not a file => ignoring ... ' % tmp_path)
continue
file_path = tmp_path
files_count += 1
# print('Processing file %d: "%s" ... ' % (files_count, file_path))
file_name = file_path.name
# parent_dir_path = file_path.parent
# print('file_name="%s", parent_dir_path: "%s"' % (file_name, parent_dir_path))
# print file_path.read_hexhash('md5')
# print file_path.read_hexhash('sha1')
# print file_path.getsize()
guessed_mime_type = mimetypes.MimeTypes().guess_type(file_path.as_uri())[0]
# print(' DEBUG: guessed_mime_type="%r" ' % (guessed_mime_type,))
if guessed_mime_type is None:
print(' WARNING: File path "%s" cannot be quessed its mime-type => skipping ... ' % file_path)
continue
date_time_search = date_time_search_re.match(file_name)
# if date_time_search is not None:
# print( DEBUG: date_time_search.groups()=%s, .pos=%d, .string=%s' % (date_time_search.groups(), date_time_search.pos, date_time_search.string))
date_time_str = None
if guessed_mime_type.startswith('image'):
if options.skip_image is True:
print (' INFO: File name "%s" guessed mime-type is image, which is not to be processed => skipping ...' % file_name)
skipped_count += 1
continue
img_type = imghdr.what(file_path)
# print(' DEBUG: img_type=%s' % (img_type,))
if img_type != 'jpeg':
print(' WARNING: File path "%s" (image) does not contain JPEG image header => skipping ... ' % file_path)
failed_count += 1
continue
processed_count += 1
## optimization(?) for fast mode - skip file already containing some data/time string
if options.fast is True:
if date_time_search is not None:
current_date_time_prefix = date_time_search.groups()[0]
current_date_time_str = date_time_search.groups()[1]
if current_date_time_prefix == '':
print(' WARNING: File name "%s" (image) apparently starts with some date-time string "%s"' % (file_name, current_date_time_str), end='')
else:
print(' WARNING: File name "%s" (image) apparently contains some date-time string "%s"' % (file_name, current_date_time_str), end='')
print(' => fast mode - skipping ... ')
skipped_count += 1
continue
with open(file_path, 'rb') as img_file:
# exif_tags = exifread.process_file(img_file)
# for tag_key in exif_tags.keys():
# if tag_key in ['JPEGThumbnail']:
# print(' EXIF tag: [%s], value: <binary-image-thumbnail> ' % (tag_key,))
# else:
# print(' EXIF tag: [%s], value: [%s] ' % (tag_key, exif_tags[tag_key]))
exif_tags = exifread.process_file(img_file, details=False, stop_tag='DateTimeOriginal')
# print ' DEBUG: exif_tags=(%d)' % (len(exif_tags),)
if 'EXIF DateTimeOriginal' in exif_tags:
date_time_str = str(exif_tags['EXIF DateTimeOriginal']).replace(':', '').replace(' ', '_')
else:
print(' WARNING: File path "%s" (image) is missing an EXIF tag for original/creation date-time => skipping ... ' % file_path)
failed_count += 1
continue
elif guessed_mime_type.startswith('video'):
if options.skip_video is True:
print (' INFO: File name "%s" guessed mime-type is video, which is not ot be processed => skipping ...' % file_name)
skipped_count += 1
continue
processed_count += 1
## optimization(?) for fast mode - skip file already containing some data/time string
if options.fast is True:
if date_time_search is not None:
current_date_time_prefix = date_time_search.groups()[0]
current_date_time_str = date_time_search.groups()[1]
if current_date_time_prefix == '':
print(' WARNING: File name "%s" (video) apparently starts with some date-time string "%s"' % (file_name, current_date_time_str), end='')
else:
print(' WARNING: File name "%s" (video) apparently contains some date-time string "%s"' % (file_name, current_date_time_str), end='')
print(' => fast mode - skipping ... ')
skipped_count += 1
continue
try:
(date_time, _) = get_mov_timestamps(file_path)
except RuntimeError:
print(' ERROR! File path "%s" (video) cannot be extracted original/creation date-time => skipping ... ' % file_path)
failed_count += 1
continue
if date_time is None:
print(' WARNING: File path "%s" (video) is missing original/creation date-time => skipping ... ' % file_path)
failed_count += 1
continue
date_time_str = date_time.strftime("%Y%m%d_%H%M%S")
# mov_parser = hachoir_parser.createParser(file_path)
# if mov_parser is None:
# print(' WARNING! Failed to parse video file - unsupported format => skipping ... ')
# mov_parser.stream._input.close()
# continue
# # print ' DEBUG: mov_parser.getFieldType()=%s, .mime_type=%s ' % (mov_parser.getFieldType(), mov_parser.mime_type)
# if mov_parser.getFieldType() != 'MovFile':
# print(' WARNING! Failed to parse video file - not a MOV/MP4 file => skipping ... ')
# mov_parser.stream._input.close()
# continue
# processed_count += 1
# moov_atom = next((field for field in mov_parser if field.description == u'Atom: moov'), None)
# if moov_atom is None:
# print(' ERROR! Failed to parse video file - missing "moov" atom; skipping ... ')
# mov_parser.stream._input.close()
# continue
# movie_atom_list = None
# try:
# movie_atom_list = moov_atom.getField('movie')
# except hachoir_core.field.field.MissingField:
# print(' ERROR! Failed to parse video file - missing "movie" atom-list; skipping ... ')
# mov_parser.stream._input.close()
# continue
# mvhd_atom = next((field for field in movie_atom_list if field.description == u'Atom: mvhd'), None)
# if movie_atom_list is None:
# print(' ERROR! Failed to parse video file - missing "mvhd" atom; skipping ... ')
# mov_parser.stream._input.close()
# continue
# movie_hdr = None
# try:
# movie_hdr = mvhd_atom.getField('movie_hdr')
# except hachoir_core.field.field.MissingField:
# print(' ERROR! Failed to parse video file - missing "movie_hdr"; skipping ... ')
# mov_parser.stream._input.close()
# continue
# ## WARNING: it does not work without this dummy iteration
# for field in movie_hdr:
# pass
# creation_date_atom = None
# try:
# creation_date_atom = movie_hdr.getField('creation_date')
# except hachoir_core.field.field.MissingField:
# print(' ERROR! Failed to parse video file - missing "creation_date" atom; skipping ... ')
# mov_parser.stream._input.close()
# continue
# # >>> creation_date = mov_parser.getField('/atom[1]/movie/atom[0]/movie_hdr/creation_date')
# # >>> creation_date.getFieldType()
# # 'TimestampUnix32'
# # >>> repr(creation_date)
# # "<TimestampUnix32 path='/atom[1]/movie/atom[0]/movie_hdr/creation_date', address=32, size=32>"
# # >>> str(creation_date)
# # '2017-03-03 14:36:52'
# date_time_str = str(creation_date_atom).replace('-', '').replace(' ', '_').replace(':', '')
# mov_parser.stream._input.close()
else:
print(' INFO: File name "%s" guessed mime-type is neither image nor video => skipping ... ' % file_name)
skipped_count += 1
continue
# print(' DEBUG: date_time_str [%s] ' % (date_time_str,))
if date_time_str is None:
print(' ERROR! Failed to determine original/creation date-time for image or video => skipping ... ')
failed_count += 1
continue
## verify pattern of the date-time string
if date_time_verify_re.match(date_time_str) is None:
print(' ERROR! Invalid/unexpected format of determined date-time string "%s" => skipping ... ' % (date_time_str,))
failed_count += 1
continue
## verify current file-name containts either the same or any other date-time string
if date_time_search is not None:
current_date_time_prefix = date_time_search.groups()[0]
current_date_time_str = date_time_search.groups()[1]
if current_date_time_prefix == '':
if current_date_time_str == date_time_str:
print(' INFO: File name "%s" already starts with original/creation date-time string "%s"' % (file_name, date_time_str), end='')
else:
print(' WARNING: File name "%s" apparently starts with date-time string "%s" other than determined "%s"' % (file_name, current_date_time_str, date_time_str), end='')
else:
if current_date_time_str == date_time_str:
print(' INFO: File name "%s" apparently contains original/creation date-time string "%s"' % (file_name, date_time_str), end='')
else:
print(' WARNING: File name "%s" apparently contains date-time string "%s" other than determined "%s"' % (file_name, current_date_time_str, date_time_str), end='')
if options.force is True:
print(' => forcing rename ... ')
else:
print(' => skipping ... ')
skipped_count += 1
continue
new_file_name = ''
if options.erase is True:
new_file_name = date_time_str + file_path.suffix
elif file_name.startswith(date_time_str):
new_file_name = file_name
else:
new_file_name = date_time_str + '_' + file_name
if new_file_name == file_name:
print(' INFO: Keeping original file name "%s" => skipping ... ' % (file_name))
continue
renamed_count += 1
# new_file_path = dir_path.joinpath(new_file_name)
new_file_path = file_path.with_name(new_file_name)
# print('new_file_path=%s' % (new_file_path,))
if new_file_path.exists():
## TODO: consider using the '--force' option to erase duplicate?
if read_sha1_hexhash(file_path) == read_sha1_hexhash(new_file_path):
print(' WARNING: New file name "%s" already exists and is identical file to the original file name "%s"; consider removing duplicate => skipping ... ' % (new_file_name, file_name))
else:
print(' ERROR: New file name "%s" already exists and is different file than the original file name "%s"; consider manual renaming => skipping ... ' % (new_file_name, file_name))
failed_count += 1
continue
if options.dry_run is not True:
print(' INFO: Renaming file name "%s" to "%s" ... ' % (file_name, new_file_name))
# try:
file_path.rename(new_file_path)
# except
else:
print(' INFO: Dry-run - would be renaming file name "%s" to "%s" ... ' % (file_name, new_file_name))
def dng_blacklevel(file):
f = open(file, 'rb')
tags = exifread.process_file(f)
return tags['Image Tag 0xC61A'].values[0].num
def is_rotated(fp):
"""Fast version of read_exif(fp).is_rotated, using an exif header subset."""
exif = exifread.process_file(fp, stop_tag="Orientation", details=False)
return EXIFInfo(exif).is_rotated
def get_exif(test_img):
origin_test_img = test_img.replace('crop', 'images')
origin_test_img_pil = open(origin_test_img, 'rb')
exif = exifread.process_file(origin_test_img_pil)
return exif
def GeraModeloFotoDef(self, context):
scn = context.scene
tmpdir = tempfile.gettempdir()
homeall = expanduser("~")
# TESTA CAMERA
mypath = scn.my_tool.path # Tem que ter o / no final
onlyfiles = [f for f in listdir(mypath) if isfile(join(mypath, f))]
FotoTeste = onlyfiles[0]
with open(mypath + FotoTeste, 'rb') as f_jpg:
tags = exifread.process_file(f_jpg, details=True)
print(tags['Image Model'])
CamModel = str(tags['Image Model'])
# print("CamModel:", CamModel)
# TESTA MODELO CAMERA
if platform.system() == "Linux":
camDatabase = homeall + "/Programs/OrtogOnBlender/openMVG/sensor_width_camera_database.txt"
if platform.system() == "Darwin":
camDatabase = "/OrtogOnBlender/openMVGMACelcap/sensor_width_camera_database.txt"
if platform.system() == "Windows":
camDatabase = "C:/OrtogOnBlender/openMVGWIN/sensor_width_camera_database.txt"
print("EH WINDOWS")
infile = open(camDatabase, "r")
numlines = 0
found = 0
for line in infile:
numlines += 1
while 1:
str_found_at = line.find(CamModel)
if str_found_at == -1:
# string not found in line ...
# go to next (ie break out of the while loop)
break
else:
# string found in line
found += 1
# more than once in this line?
# lets strip string and anything prior from line and
# then go through the testing loop again
line = line[str_found_at + len(CamModel):]
infile.close()
print(CamModel, "was found", found, "times in", numlines, "lines")
if found == 0:
print("Nao apareceu!")
with open(camDatabase, 'a') as file:
inputCam = CamModel, "; 3.80"
print(inputCam)
# if platform.system() == "Darwin" or platform.system() == "Windows":
# file.write("\n")
file.write("\n")
file.writelines(inputCam) # Escreve o modelo de camera no arquivo
# GERA FOTOGRAMETRIA
try:
OpenMVGtmpDir = tmpdir + '/OpenMVG'
tmpOBJface = tmpdir + '/MVS/scene_dense_mesh_texture2.obj'
if platform.system() == "Linux":
OpenMVGPath = homeall + '/Programs/OrtogOnBlender/openMVG/software/SfM/SfM_SequentialPipeline.py'
OpenMVSPath = homeall + '/Programs/OrtogOnBlender/openMVS/OpenMVS'
if platform.system() == "Windows":
OpenMVGPath = 'C:/OrtogOnBlender/openMVGWin/software/SfM/SfM_SequentialPipeline.py'
OpenMVSPath = 'C:/OrtogOnBlender/openMVSWin/OpenMVS.bat'
if platform.system() == "Darwin":
# if platform.release() == '15.6.0':
# OpenMVGPath = '/OrtogOnBlender/openMVGMACelcap/SfM_SequentialPipeline.py'
# OpenMVSPath = '/OrtogOnBlender/openMVSMACelcap/openMVSMAC.sh'
# if platform.release() == '17.5.0':
# OpenMVGPath = '/OrtogOnBlender/openMVGMACelcap/SfM_SequentialPipeline.py'
# OpenMVSPath = '/OrtogOnBlender/openMVSMACelcap/openMVSMAC.sh'
# else:
# OpenMVGPath = '/OrtogOnBlender/openMVGMAC/SfM_SequentialPipeline.py'
# OpenMVSPath = '/OrtogOnBlender/openMVSMAC/openMVSMAC.sh'
OpenMVGPath = '/OrtogOnBlender/openMVGMACelcap/SfM_SequentialPipeline.py'
OpenMVSPath = '/OrtogOnBlender/openMVSMACelcap/openMVSMAC.sh'
shutil.rmtree(tmpdir + '/OpenMVG', ignore_errors=True)
shutil.rmtree(tmpdir + '/MVS', ignore_errors=True)
# if os.name=='posix':
# shutil.rmtree(tmpdir+'/OpenMVG')
# shutil.rmtree(tmpdir+'/MVS')
# if os.name=='nt':
# subprocess.call(['rmdir', '/Q', '/S', tmpdir+'/OpenMVG'])
# subprocess.call(['rmdir', '/Q', '/S', tmpdir+'/MVS'])
if platform.system() == "Linux":
subprocess.call(
['python', OpenMVGPath, scn.my_tool.path, OpenMVGtmpDir])
if platform.system() == "Windows":
subprocess.call([
'C:/OrtogOnBlender/Python27/python', OpenMVGPath,
scn.my_tool.path, OpenMVGtmpDir
])
if platform.system() == "Darwin":
subprocess.call(
['python', OpenMVGPath, scn.my_tool.path, OpenMVGtmpDir])
subprocess.call(OpenMVSPath, shell=True)
# subprocess.call([ 'meshlabserver', '-i', tmpdir+'scene_dense_mesh_texture.ply', '-o', tmpdir+'scene_dense_mesh_texture2.obj', '-om', 'vn', 'wt' ])
bpy.ops.import_scene.obj(filepath=tmpOBJface,
filter_glob="*.obj;*.mtl")
scene_dense_mesh_texture2 = bpy.data.objects[
'scene_dense_mesh_texture2']
bpy.ops.object.select_all(action='DESELECT')
bpy.context.scene.objects.active = scene_dense_mesh_texture2
bpy.data.objects['scene_dense_mesh_texture2'].select = True
bpy.context.object.data.use_auto_smooth = False
bpy.context.object.active_material.specular_hardness = 60
bpy.context.object.active_material.diffuse_intensity = 0.6
bpy.context.object.active_material.specular_intensity = 0.3
bpy.context.object.active_material.specular_color = (0.233015,
0.233015,
0.233015)
# bpy.ops.object.modifier_add(type='SMOOTH')
# bpy.context.object.modifiers["Smooth"].factor = 2
# bpy.context.object.modifiers["Smooth"].iterations = 3
# bpy.ops.object.convert(target='MESH')
# bpy.ops.object.modifier_apply(apply_as='DATA', modifier="Smooth")
bpy.ops.object.origin_set(type='GEOMETRY_ORIGIN')
bpy.ops.view3d.view_all(center=False)
bpy.ops.file.pack_all()
bpy.ops.object.modifier_add(type='SMOOTH')
bpy.context.object.modifiers["Smooth"].factor = 2
bpy.context.object.modifiers["Smooth"].iterations = 3
#bpy.ops.object.convert(target='MESH')
# MutRes
bpy.ops.object.modifier_add(type='MULTIRES')
bpy.context.object.modifiers["Multires"].show_viewport = False
bpy.ops.object.multires_subdivide(modifier="Multires")
context = bpy.context
obj = context.active_object
heightTex = bpy.data.textures.new('Texture name', type='IMAGE')
heightTex.image = bpy.data.images[
'scene_dense_mesh_texture2_material_0_map_Kd.jpg']
dispMod = obj.modifiers.new("Displace", type='DISPLACE')
dispMod.texture = heightTex
bpy.context.object.modifiers["Displace"].texture_coords = 'UV'
bpy.context.object.modifiers["Displace"].strength = 0.035
bpy.context.object.modifiers["Displace"].mid_level = 0.5
#Comprime modificadores
bpy.context.object.modifiers["Smooth"].show_expanded = False
bpy.context.object.modifiers["Multires"].show_expanded = False
bpy.context.object.modifiers["Displace"].show_expanded = False
bpy.ops.object.shade_smooth()
except RuntimeError:
bpy.context.window_manager.popup_menu(ERROruntimeFotosDef,
title="Atenção!",
icon='INFO')
#!/usr/bin/python
import sys, os, exifread, datetime
from PIL import Image
for filename in os.listdir('.'):
if 'AVI' in filename:
filenum = ''.join(i for i in filename if i.isdigit()) # The number of the file, we'll need this to decrement by 1 to get the file before it
copyfrom = int(filenum)-1 # This is the file number we want to copy our exif time from
copyfromfilename = "DSCF" + str(copyfrom).zfill(4) + ".JPG" # This is the file name we want to copy our exif time from
f = open(copyfromfilename, 'rb')
tags = exifread.process_file(f, details=False, stop_tag='DateTimeOriginal') # Get the tags we need
date = tags.get('EXIF DateTimeOriginal') # Get the exact tag we need
date = datetime.datetime.strptime(str(date), '%Y:%m:%d %H:%M:%S') # Convert the tag to python datetime
date = date + datetime.timedelta(0,1) # Add 1 second, so we don't have two files with the same timestamp
date = date.strftime('%Y%m%d_%H%M%S') # Convert our date into the format we want for our file name
print("Working on AVI #" + str(filenum).zfill(4))
os.system("ffmpeg -loglevel quiet -i " + filename + " -codec copy -metadata ICRD=\"2018-09-23 13:06:11\" " + date + ".AVI") # Create proper file
os.remove(filename) # Remove the original
# ---- Samples ----
# DSCF0070.AVI
#'EXIF DateTimeOriginal': (0x9003) ASCII=2018:09:21 16:35:35 @ 748
# Date/Time Original : 2018:09:23 13:06:10
# Create Date : 2018:09:23 13:06:10
# exiftool -ext JPG '-FileName<CreateDate' -d %Y%m%d_%H%M%S%%-c.%%e .
# ffmpeg -loglevel quiet -i DSCF0070.AVI -codec copy -metadata ICRD="2018-09-23 13:06:11" out.avi
print("Finished AVIs, fixing JPGs") # exiftool can't write to AVIs, and apparently you have to create a new file for writing to AVIs
def read_exif(fp):
"""Reads exif data from a file pointer of an image and returns it."""
exif = exifread.process_file(fp)
return EXIFInfo(exif)
def get_exif_datetimeoriginal_as_str(filename):
with open(filename, "rb") as file:
tags = exifread.process_file(file,
stop_tag="DateTimeOriginal",
details=False)
return str(tags["EXIF DateTimeOriginal"])
def main(args):
with args.raw_file.open('rb') as f:
tags = exifread.process_file(f)
pprint(tags)
import exifread
import glob
import os
files = glob.glob('*.jpg')
print(
"Renaming the {} file(s) in this folder with a .jpg ending to a DateTime serial."
.format(len(files)))
for f in files:
f = open(f, 'rb') # Open the file (using exifread)
tags = exifread.process_file(f) # Get the metadata
new_name = str(tags['Image DateTime']).replace(
':', '_') + '.jpg' # Get the DateTime, refomat
f.close() # close the file (exifread)
print('Renaming {} to {}'.format(f.name, new_name))
os.rename(f.name, new_name) # rename (using os)
def __init__(self, fileobj):
self.tags = exifread.process_file(fileobj, details=False)
fileobj.seek(0)
self.xmp = get_xmp(fileobj)
# plate scale for the sensor and optical system
pix = 1.18
# open a file to write results to
g = open("2021-04-25-test3.txt", "w")
# directory containing images
dir = '/Users/stingay/Pictures/2021_04_25/'
imglist = sorted(os.listdir(dir))
# open first image and extract jpg thumhail to extract timing information
rawA = rawpy.imread(dir + imglist[0]) # Canon RP
thumb = rawA.extract_thumb()
f = open('thumb.jpg', 'wb')
f.write(thumb.data)
exif = exifread.process_file(open('thumb.jpg', 'rb'))
for tag in exif.keys():
if tag == 'Image DateTime':
datetag = exif[tag]
date_time = str(datetag).split(' ')
date = date_time[0].split(':')
t = date_time[1].split(':')
dateob = datetime.datetime(int(date[0]), int(date[1]), int(date[2]),
int(t[0]), int(t[1]), int(t[2]))
print(dateob)
g.write("{}\n".format(dateob))
# loop over images in directory, detect star in images, and record the coordinate information in the output file
n = 0
while len(imglist) > 0:
for img in imglist:
def ev_from_exif(img_path: Path):
tags = exifread.process_file(img_path.open("rb"), details=False)
fnumber = tags["EXIF FNumber"].values[0].num
shutter_speed_ratio = tags["EXIF ShutterSpeedValue"].values[0]
return (2 * np.log2(fnumber)) + np.log2(
shutter_speed_ratio.den / shutter_speed_ratio.num)