t2d2-sdk 2.5.4

T2D2 SDK

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
• Installation
• Quickstart
• Usage
• Contributing
• License
• Support

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 [e-mail] for more information.

License

See the LICENSE file for details.

Support

• Documentation: https://t2d2-ai.github.io/t2d2-sdk/
• Email: [e-mail]
• T2D2 Web: https://t2d2.ai