def add_photo(path, must_have_fov=False, must_have_exif=False, **args):
""" Add a photo to the database """
if not os.path.exists(path):
raise ValueError("File does not exist")
if 'license' not in args:
args['license'] = License.objects.get_or_create(
name='All Rights Reserved')[0]
# md5: check for duplicates
md5 = md5sum(path)
duplicate = True
try:
photo = Photo.objects.get(md5=md5)
except Photo.DoesNotExist:
duplicate = False
except Photo.MultipleObjectsReturned:
duplicates = Photo.objects.filter(md5=md5).order_by('id')
for d in duplicates[1:]:
d.delete()
if duplicate:
raise ValueError("Duplicate photo import: '%s'" % path)
# parse exif
if 'exif' not in args:
print 'Obtaining EXIF...'
exif = get_exif(path)
if exif:
args['exif'] = exif
elif must_have_exif:
raise ValueError("Photo has no EXIF: %s" % path)
if 'fov' not in args:
print 'Obtaining FOV...'
fov = get_fov(args['exif'])
if fov:
args['fov'] = fov
elif must_have_fov:
raise ValueError("Could not obtain photo FOV: %s" % path)
photo = None
# use a transaction so that it is only committed to the database
# after save() returns. otherwise, there's a small time betwee
# when the photo is added and it has an image attached.
with transaction.atomic():
with open(path, 'rb') as f:
print 'Uploading photo...'
photo = Photo.objects.create(image_orig=ImageFile(f),
md5=md5,
**args)
from mturk.tasks import add_pending_objects_task
add_pending_objects_task.delay([get_content_tuple(photo)])
return photo
def add_photo(path, must_have_fov=False, must_have_exif=False, **args):
""" Add a photo to the database """
if not os.path.exists(path):
raise ValueError("File does not exist")
if "license" not in args:
args["license"] = License.objects.get_or_create(name="All Rights Reserved")[0]
# md5: check for duplicates
md5 = md5sum(path)
duplicate = True
try:
photo = Photo.objects.get(md5=md5)
except Photo.DoesNotExist:
duplicate = False
except Photo.MultipleObjectsReturned:
duplicates = Photo.objects.filter(md5=md5).order_by("id")
for d in duplicates[1:]:
d.delete()
if duplicate:
raise ValueError("Duplicate photo import: '%s'" % path)
# parse exif
if "exif" not in args:
print "Obtaining EXIF..."
exif = get_exif(path)
if exif:
args["exif"] = exif
elif must_have_exif:
raise ValueError("Photo has no EXIF: %s" % path)
if "fov" not in args:
print "Obtaining FOV..."
fov = get_fov(args["exif"])
if fov:
args["fov"] = fov
elif must_have_fov:
raise ValueError("Could not obtain photo FOV: %s" % path)
photo = None
# use a transaction so that it is only committed to the database
# after save() returns. otherwise, there's a small time betwee
# when the photo is added and it has an image attached.
with transaction.atomic():
with open(path, "rb") as f:
print "Uploading photo..."
photo = Photo.objects.create(image_orig=ImageFile(f), md5=md5, **args)
from mturk.tasks import add_pending_objects_task
add_pending_objects_task.delay([get_content_tuple(photo)])
return photo
def save(self, *args, **kwargs):
if not self.md5:
self.md5 = md5sum(self.image_orig)
if not self.orig_width or not self.orig_height:
self.orig_width = self.image_orig.width
self.orig_height = self.image_orig.height
if not self.aspect_ratio:
self.aspect_ratio = (float(self.image_orig.width) /
float(self.image_orig.height))
if not self.focal_y and self.fov:
dim = max(self.image_orig.width, self.image_orig.height)
self.focal_y = 0.5 * dim / (self.image_orig.height *
math.tan(math.radians(self.fov / 2)))
if not self.license and self.flickr_user and self.flickr_id:
self.license = License.get_for_flickr_photo(
self.flickr_user, self.flickr_id)
super(Photo, self).save(*args, **kwargs)
def save(self, *args, **kwargs):
if not self.md5:
self.md5 = md5sum(self.image_orig)
if not self.orig_width or not self.orig_height:
self.orig_width = self.image_orig.width
self.orig_height = self.image_orig.height
if not self.aspect_ratio:
self.aspect_ratio = (float(self.image_orig.width) /
float(self.image_orig.height))
if not self.focal_y and self.fov:
dim = max(self.image_orig.width, self.image_orig.height)
self.focal_y = 0.5 * dim / (self.image_orig.height *
math.tan(math.radians(self.fov / 2)))
if not self.license and self.flickr_user and self.flickr_id:
self.license = License.get_for_flickr_photo(
self.flickr_user, self.flickr_id)
super(Photo, self).save(*args, **kwargs)
def handle(self, *args, **options):
admin_user = User.objects.get_or_create(
username='******')[0].get_profile()
for filename in progress_bar(args):
if not os.path.exists(filename):
raise ValueError("File does not exist: '%s'" % filename)
blendswap_id = os.path.basename(filename).split('_')[0]
license, scene_url, scene_artist = \
License.get_for_blendswap_scene(blendswap_id)
print 'file:', filename
print 'license:', license
print 'url:', scene_url
print 'artist:', scene_artist
tmpdir = tempfile.mkdtemp()
try:
print "Loading %s..." % filename
md5 = md5sum(filename)
if IntrinsicSyntheticDecomposition.objects.filter(md5=md5).exists():
print "Already added: %s" % filename
continue
multilayer = open_multilayer_exr(
filename, tonemap=True, thumb_size=512, show_progress=True)
paths = {}
for key, img in multilayer.iteritems():
path = os.path.join(tmpdir, '%s-%s.jpg' % (md5, key))
img.save(path)
paths[key] = path
with transaction.atomic():
photo = add_photo(
path=paths["combined"],
user=admin_user,
license=license,
synthetic=True,
whitebalanced=True,
inappropriate=False,
nonperspective=False,
stylized=False,
rotated=False,
)
print "Uploading layers: %s..." % paths.keys()
IntrinsicSyntheticDecomposition.objects.create(
photo=photo,
multilayer_exr=ImageFile(open(filename, 'rb')),
scene_artist=scene_artist,
scene_url=scene_url,
md5=md5,
**{
("%s_thumb" % key): ImageFile(open(path, 'rb'))
for key, path in paths.iteritems()
if key != "combined"
}
)
finally:
shutil.rmtree(tmpdir)
update_synthetic_diff_intensity()
def handle(self, *args, **options):
admin_user = User.objects.get_or_create(
username='******')[0].get_profile()
for filename in progress_bar(args):
if not os.path.exists(filename):
raise ValueError("File does not exist: '%s'" % filename)
blendswap_id = os.path.basename(filename).split('_')[0]
license, scene_url, scene_artist = \
License.get_for_blendswap_scene(blendswap_id)
print 'file:', filename
print 'license:', license
print 'url:', scene_url
print 'artist:', scene_artist
tmpdir = tempfile.mkdtemp()
try:
print "Loading %s..." % filename
md5 = md5sum(filename)
if IntrinsicSyntheticDecomposition.objects.filter(
md5=md5).exists():
print "Already added: %s" % filename
continue
multilayer = open_multilayer_exr(filename,
tonemap=True,
thumb_size=512,
show_progress=True)
paths = {}
for key, img in multilayer.iteritems():
path = os.path.join(tmpdir, '%s-%s.jpg' % (md5, key))
img.save(path)
paths[key] = path
with transaction.atomic():
photo = add_photo(
path=paths["combined"],
user=admin_user,
license=license,
synthetic=True,
whitebalanced=True,
inappropriate=False,
nonperspective=False,
stylized=False,
rotated=False,
)
print "Uploading layers: %s..." % paths.keys()
IntrinsicSyntheticDecomposition.objects.create(
photo=photo,
multilayer_exr=ImageFile(open(filename, 'rb')),
scene_artist=scene_artist,
scene_url=scene_url,
md5=md5,
**{("%s_thumb" % key): ImageFile(open(path, 'rb'))
for key, path in paths.iteritems()
if key != "combined"})
finally:
shutil.rmtree(tmpdir)
update_synthetic_diff_intensity()