def setup_vdn(password):
import django
sys.path.append(os.path.dirname(__file__))
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "dva.settings")
django.setup()
from vdnapp.models import User, Dataset, Organization
user = User(username="******",
password=password,
email="*****@*****.**")
user.save()
o = Organization()
o.user = user
o.description = "Default organization"
o.name = "Akshay Bhat"
o.save()
Dataset.objects.all().delete()
datasets = [
('LFW_subset',
'https://www.dropbox.com/s/6nn84z4yzy47vuh/LFW.dva_export.zip'),
('MSCOCO_Sample_500',
'https://www.dropbox.com/s/qhzl9ig7yhems6j/MSCOCO_Sample.dva_export.zip'
),
('Paris',
'https://www.dropbox.com/s/a7qf1f3j8vp4nuh/Paris.dva_export.zip'),
('Zelda',
'https://www.dropbox.com/s/oi71afelw5mbt8q/Zelda.dva_export.zip'),
('yolo_test_train_dataset_medium',
'https://www.dropbox.com/s/u1djt5obccczmcj/license_plates.zip'),
('yolo_test_train_dataset_small',
'https://www.dropbox.com/s/wilkuaywfrh29ps/underwater.zip')
]
for name, url in datasets:
d = Dataset()
d.organization = o
d.download_url = url
d.name = name
d.root = True
d.aws_requester_pays = False
d.description = name
d.save()
aws_datasets = [
('MSCOCO train ~14GB', 'us-east-1', 'visualdatanetwork',
'coco_train.dva_export.zip'),
('Visual Genome objects ~16GB', 'us-east-1', 'visualdatanetwork',
'visual_genome.dva_export.zip'),
('aws_test_dir', 'us-east-1', 'visualdatanetwork', '007'),
]
for name, region, bucket, key in aws_datasets:
d = Dataset()
d.organization = o
d.name = name
d.aws_region = region
d.aws_bucket = bucket
d.aws_key = key
d.root = True
d.aws_requester_pays = True
d.description = name
d.save()
def setup_vdn(password):
import django
sys.path.append(os.path.dirname(__file__))
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "dva.settings")
django.setup()
from vdnapp.models import User,Dataset,Organization,Detector
user = User(username="******",password=password,email="*****@*****.**")
user.save()
o = Organization()
o.user = user
o.description = "Default organization"
o.name = "Akshay Bhat"
o.save()
Dataset.objects.all().delete()
datasets = [
('LFW_subset','https://www.dropbox.com/s/6nn84z4yzy47vuh/LFW.dva_export.zip'),
('MSCOCO_Sample_500','https://www.dropbox.com/s/qhzl9ig7yhems6j/MSCOCO_Sample.dva_export.zip'),
('Paris','https://www.dropbox.com/s/a7qf1f3j8vp4nuh/Paris.dva_export.zip'),
('yolo_test_train_dataset_medium', 'https://www.dropbox.com/s/u1djt5obccczmcj/license_plates.zip'),
]
for name,url in datasets:
d = Dataset()
d.organization = o
d.download_url = url
d.name = name
d.root = True
d.aws_requester_pays = False
d.description = name
d.save()
aws_datasets = [
('MSCOCO train ~14GB', 'us-east-1','visualdatanetwork','coco_train.dva_export.zip'),
('Visual Genome objects ~16GB', 'us-east-1', 'visualdatanetwork', 'visual_genome.dva_export.zip'),
('aws_test_dir', 'us-east-1', 'visualdatanetwork', '007'),
]
for name, region, bucket, key in aws_datasets:
d = Dataset()
d.organization = o
d.name = name
d.aws_region = region
d.aws_bucket = bucket
d.aws_key = key
d.root = True
d.aws_requester_pays = True
d.description = name
d.save()
detectors = [
('License plate', 'https://www.dropbox.com/s/ztsl59pxgzvd14k/1.dva_detector.zip'),
]
for name, url in detectors:
d = Detector()
d.organization = o
d.name = name
d.download_url = url
d.description = name
d.save()
def setup_vdn(password):
import django
sys.path.append(os.path.dirname(__file__))
os.environ.setdefault("DJANGO_SETTINGS_MODULE", "dva.settings")
django.setup()
from vdnapp.models import User, Dataset, Organization
user = User(username="******",
password=password,
email="*****@*****.**")
user.save()
o = Organization()
o.user = user
o.description = "Default organization"
o.name = "Akshay Bhat"
o.save()
datasets = [
('LFW_subset',
'https://www.dropbox.com/s/6nn84z4yzy47vuh/LFW.dva_export.zip'),
('MSCOCO_Sample_500',
'https://www.dropbox.com/s/qhzl9ig7yhems6j/MSCOCO_Sample.dva_export.zip'
),
('Paris',
'https://www.dropbox.com/s/a7qf1f3j8vp4nuh/Paris.dva_export.zip'),
('Zelda',
'https://www.dropbox.com/s/oi71afelw5mbt8q/Zelda.dva_export.zip'),
]
for name, url in datasets:
d = Dataset()
d.organization = o
d.download_url = url
d.name = name
d.root = True
d.aws_requester_pays = False
d.description = name
d.save()