NVIDIA AI-Assisted Annotation Client
The NVIDIA AI-Assisted Annotation Client is an advanced solution designed to support the integration of artificial intelligence into medical imaging applications. It is part of the NVIDIA AI-Assisted Annotation SDK, which uses a client-server model to seamlessly blend AI functionality with existing software systems.
Implementation Overview
At the heart of this SDK is the client-server architecture. Users can download the Clara Train SDK container from NVIDIA's NGC platform, which includes the necessary annotation server. After setting up the server, users can choose to integrate C++ or Python clients to incorporate the AI capabilities into their existing applications. This flexibility ensures that the SDK can be adapted to various technical needs and preferences.
Supported Platforms
The AI-Assisted Annotation Client is versatile and can be deployed across multiple operating systems. It supports:
- Linux (Ubuntu 16 and later)
- macOS (High Sierra and newer versions)
- Windows (Windows 10)
This broad compatibility ensures that developers can use the client regardless of their system setup.
Plugins Integration
The client works harmoniously with several plugins to offer enhanced functionality:
- NVIDIA MITK Plugin: Built on the C++ client APIs, it extends the capabilities of the existing medical imaging applications.
- NVIDIA 3D Slicer: Utilizes the Python client APIs to bring advanced 3D visualization and annotation features.
These plugins enable users to easily add AI-driven features to their applications, improving the speed and efficiency of medical imaging analysis.
Quick Start Guide
NVIDIA provides a comprehensive Quick Start guide that walks users through the process of building and installing the AI-Assisted Annotation Client Libraries for C++. It also includes instructions for running basic tools like dextr3D, segmentation, and fixPolygon to verify key features of the SDK within an established AI-Assisted Annotation Server.
For those looking to install the Python client, there are straightforward commands available:
Building and installing:
# 1. build first and install
python setup.py sdist bdist_wheel
python -m pip install dist/aiaa_client-*.whl
Alternatively, a direct installation can be performed:
# 2. Or just install
python -m pip install -e ./
Incorporating the Python client into code is seamless:
from py_client import client_api
Contributions
NVIDIA encourages contributions from the community to support the development and enhancement of the AI-Assisted Annotation Client. Contributors can aid in its ongoing evolution by creating pull requests and adhering to the detailed guidelines in the CONTRIBUTING document.
This project represents an exciting leap forward in using AI to assist with detailed and efficient analysis in medical imaging, offering developers the tools they need to enhance their applications significantly.