# pylint: disable=wrong-import-order # pylint: disable=pointless-string-statement # pylint: disable=invalid-name """This file includes the python code of auth cloud storage import.""" """Get cloud client""" from tensorbay import GAS # Please visit `https://gas.graviti.com/tensorbay/developer` to get the AccessKey. gas = GAS("<YOUR_ACCESSKEY>") cloud_client = gas.get_cloud_client("<CONFIG_NAME>") """""" """Create storage config""" gas.create_oss_storage_config( "<OSS_CONFIG_NAME>", "<path/to/dataset>", endpoint="<YOUR_ENDPOINT>", # like oss-cn-qingdao.aliyuncs.com accesskey_id="<YOUR_ACCESSKEYID>", accesskey_secret="<YOUR_ACCESSKEYSECRET>", bucket_name="<YOUR_BUCKETNAME>", ) """""" """Import dataset from cloud platform to the authorized storage dataset""" import json from tensorbay.dataset import Dataset from tensorbay.label import Classification # Use AuthData to organize a dataset by the "Dataset" class before importing. dataset = Dataset("<DATASET_NAME>") # TensorBay uses "segment" to separate different parts in a dataset. segment = dataset.create_segment()
# pylint: disable=wrong-import-position # pylint: disable=wrong-import-order # pylint: disable=pointless-string-statement # pylint: disable=invalid-name """This file includes the python code of auth cloud storage import.""" """Get cloud client""" from tensorbay import GAS gas = GAS("Accesskey-*****") cloud_client = gas.get_cloud_client("config_name") """""" """Create storage config""" gas.create_oss_storage_config( "oss_config", "tests", endpoint="<YOUR_ENDPOINT>", # like oss-cn-qingdao.aliyuncs.com accesskey_id="<YOUR_ACCESSKEYID>", accesskey_secret="<YOUR_ACCESSKEYSECRET>", bucket_name="<YOUR_BUCKETNAME>", ) """""" """Import dataset from cloud platform to the authorized storage dataset""" import json from tensorbay.dataset import Dataset from tensorbay.label import Classification # Use AuthData to organize a dataset by the "Dataset" class before importing. dataset = Dataset("DatasetName") # TensorBay uses "segment" to separate different parts in a dataset. segment = dataset.create_segment()