Welcome to T2D2 SDK’s documentation!

T2D2 SDK

A Python SDK for seamless integration with the T2D2 platform.

Easily manage projects, assets, and AI-powered inspections for structural health monitoring.

Description

T2D2 SDK is a Python wrapper for the T2D2 API, enabling seamless integration with T2D2 projects and related assets for structural inspection data management.

  • Manage projects, images, annotations, drawings, videos, reports, and more

  • Upload, download, and organize assets

  • Run AI inference and summarize inspection data

  • Integrate with T2D2’s web platform

Documentation

Full documentation is available at: https://t2d2-ai.github.io/t2d2-sdk/

Table of Contents

Features

  • Authentication: API key or email/password

  • Project Management: Set, get, and summarize projects

  • Asset Management: Upload/download images, drawings, videos, 3D models, and reports

  • Annotations: Add, retrieve, and manage annotation classes and annotations

  • Regions & Tags: Organize assets by regions and tags

  • AI Integration: Run AI inference on images using project models

  • Summarization: Summarize images and annotation conditions

  • Notifications: Send notifications to users or Slack

Installation

Install the latest version from PyPI:

pip install --upgrade t2d2-sdk

Quickstart

  1. Sign up for a T2D2 account: Register here

  2. Get your API key from the T2D2 web app

  3. Initialize the client:

from t2d2_sdk import T2D2

credentials = {'api_key': '<YOUR_API_KEY>'}
t2d2 = T2D2(credentials)

Usage

Set Project

t2d2.set_project('<PROJECT_ID>')
project_info = t2d2.get_project_info()
print(project_info)

Upload Images

image_paths = ['./images/img1.jpg', './images/img2.jpg']
response = t2d2.upload_images(image_paths)
print(response)

Get Images

images = t2d2.get_images()
for img in images:
    print(img['filename'], img['id'])

Add Annotation Class

result = t2d2.add_annotation_class('Crack', color='#FF0000', materials=['Concrete'])
print(result)

Add Annotations to an Image

annotations = [
    {
        'annotation_class_id': 'class_id',
        'coordinates': [[100, 100], [200, 100], [200, 200], [100, 200]],
        'attributes': {'severity': 'high'}
    }
]
result = t2d2.add_annotations('image_id', annotations)
print(result)

Run AI Inference

result = t2d2.run_ai_inferencer(
    image_ids=['image_id1', 'image_id2'],
    model_id='model_id',
    confidence_threshold=0.6
)
print(result)

For more advanced usage, see the full documentation.

Contributing

Contributions are welcome! Please contact bhiriyur@t2d2.ai for more information.

License

See the LICENSE file for details.

Support

T2D2 SDK Module

Helper Functions

These utility functions are available at the module level for common operations.

T2D2 Class

The main T2D2 class provides a comprehensive interface to interact with the T2D2 API.

Indices and tables