NVIDIA AI-Assisted Annotation SDK follows a client-server approach to integrate into an application. Clara Train SDK container on ngc.nvidia.com is generally available for download, annotation server is included in the package. Once a user has setup the AI-Assisted Annotation Server, user can use either C++ or Python client to integrate the SDK into an existing medical imaging application.
AI-Assisted Annotation is a cross-platform C++/Python Client API to communicate with AI-Assisted Annotation Server for NVIDIA and it officially supports:
- Linux (Ubuntu16+)
- macOS (High Sierra and above)
- Windows (Windows 10)
Following plugins integrate with NVIDIA AI-Assisted Annotation through either C++/Python Client APIs
- NVIDIA MITK Plugin (based on c++ client APIs)
- NVIDIA 3D Slicer (based on py_client APIs)
Follow the Quick Start guide to build/install AI-Assisted Annotation Client Libraries for C++ and run some basic tools to verify few important functionalities like dextr3D, segmentation, fixPolygon over an existing AI-Assisted Annotation Server.
C++ Client Library provides support for CMake project
For installing py_client:
# build first
python setup.py sdist bdist_wheel
# install
python -m pip install dist/aiaa_client-*.whl
# to use in code just
from py_client import client_api
Contributions to NVIDIA AI-Assisted Annotation Client are more than welcome. To contribute make a pull request and follow the guidelines outlined in the CONTRIBUTING document.