redbrick-sdk 0.6.16b4

RedBrick platform Python SDK!

Introduction

This is an SDK to make integration with the RedBrick platform as easy as possible. This includes uploading and downloading data as well as making your datasets easily available for training. Use this SDK to access your data and labels anywhere you run your code, whether that is on the cloud or locally with a Jupyter Notebook.

Please feel free to submit issues on github or at [e-mail] if you run into any problems or have suggestions.

Quickstart

After creating an account on app.redbrickai.com,

pip install --upgrade redbrick-sdk

You'll need to get your API key before you can utilize the SDK.

"""redbrick quickstart."""
import redbrick

api_key = "<>"
url = "https://api.redbrickai.com"
org_id = "<>"
project_id = "<>"
project = redbrick.get_project(api_key, url, org_id, project_id)

Importing data

There is a single way to import data into your project through the sdk. This is done using the create datapoint api.

An example using a "Public" storage method is given below

# default public storage method
storage_id = "11111111-1111-1111-1111-111111111111"

datapoints = [
    {
        "name": "my first upload",
        "items": [
            "http://datasets.redbrickai.com/car-vids/car-1/frame20.png"
        ]
    }
]
failed_to_create = project.upload.create_datapoints(storage_id, datapoints)


# Datapoint object definition
{
    # REQUIRED: must be unique within a project
    "name": "my first upload",
    # List of urls or item paths, depending on your storage method
    "items": [
        "http://datasets.redbrickai.com/car-vids/car-1/frame20.png"
    ],
    # List of RedBrick Label objects
    "labels":  [<Label object>]

}

Exporting data from your project

import json

result = project.export.redbrick_format()

with open("export.json", "w+") as file_:
    json.dump(file_, result, indent=2)