Python GAS.create_oss_storage_config示例

# 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()

示例#2

显示文件

# 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()