标准化的数据调用方式
使用标准统一的Python SDK或Open API方式上传和读取数据，便捷地使用和管理您的云端数据
更灵活的数据使用
通过Python SDK或API上传、读取、管理多传感器复杂数据、时序连续数据以及标注数据，与您的数据Pipeline灵活对接
完善的案例及使用文档
支持完善的使用文档包括安装说明、接口使用、示例代码等，为新手入门提供便捷易用的使用体验
Install PythonSDK
pip3 install tensorbay
Read images from the dataset
# !/usr/bin/env python3
from PIL import Image
from tensorbay import GAS
from tensorbay.dataset import Segment
gas = GAS("<YOUR_ACCESSKEY>")
dataset = Dataset("<DATASET_NAME>", gas)
segment = dataset["<SEGMENT_NAME>"]
for data in segment:
with data.open() as fp:
image = Image.open(fp)
width, height = image.size
image.show()
Configuration
gas auth [YOUR_ACCESSKEY] # Use the AccessKey for the current environment.
Usage
gas dataset # List the names of all the datasets.
gas dataset tb:<dataset_name> # Create a new dataset.
gas ls tb:<dataset_name> # List the names of all the segments of the dataset.
gas ls -a tb:<dataset_name> # List all the files in all the segments of the dataset.
gas ls tb:<dataset_name>:<segment_name> # List all the files in a specific segment of the dataset.
gas dataset -d tb:<dataset_name> # Delete the dataset.
Example of Creating a New Dataset
Create a TensorBay dataset with version control. The dataset name must be unique.
Request Path
POST /v1/datasets
Request Parameters
Body
| Name | Type | Required? | Description |
|---|---|---|---|
| name | string | Yes | Dataset name |
| type | int | No | The default is 0, 0-normal dataset, 1-Fusion dataset |
Request Instance
curl --location --request POST '{service}/v1/datasets' \
--header 'x-token: {your_accesskey}' \
--header 'Content-Type: application/json' \
--data-raw '{
"name": "my first dataset",
"type": 0
}'
Output
# Response status
HttpStatus 201
# Response result
{
"id": "154e35ba-e895-4f09-969e-f8c9445efd2c"
}
- id: ID of the created dataset