datamint 1.9.1

A library for interacting with the Datamint API, designed for efficient data management, processing and Deep Learning workflows.

Datamint python API

See the full documentation at https://sonanceai.github.io/datamint-python-api/

Installation

Datamint requires Python 3.10+. You can install/update Datamint and its dependencies using pip

pip install -U datamint

We recommend that you install Datamint in a dedicated virtual environment, to avoid conflicting with your system packages. Create the enviroment once with python3 -m venv datamint-env and then activate it whenever you need it with:

• source datamint-env/bin/activate (Linux/MAC)
• datamint-env\Scripts\activate.bat (Windows CMD)
• datamint-env\Scripts\Activate.ps1 (Windows PowerShell)

Setup API key

To use the Datamint API, you need to setup your API key (ask your administrator if you don't have one). Use one of the following methods to setup your API key:

Method 1: Command-line tool (recommended)

Run datamint-config in the terminal and follow the instructions. See command_line_tools for more details.

Method 2: Environment variable

Specify the API key as an environment variable.

Bash:

export DATAMINT_API_KEY="my_api_key"
# run your commands (e.g., `datamint-upload`, `python script.py`)

Python:

import os
os.environ["DATAMINT_API_KEY"] = "my_api_key"

Method 3: APIHandler constructor

Specify API key in the |APIHandlerClass| constructor:

from datamint import APIHandler
api = APIHandler(api_key='my_api_key')

Tutorials

You can find example notebooks in the notebooks folder:

• Uploading your resources
• Uploading model segmentations

and example scripts in examples folder:

• Running an experiment for classification
• Running an experiment for segmentation

Full documentation

See all functionalities in the full documentation at https://sonanceai.github.io/datamint-python-api/