OverviewΒΆ

The Transfer Learning Toolkit (TLT) Computer Vision (CV) Inference Pipeline is a C++ based SDK that provides APIs to build applications from inferences from purpose-built pre-trained AI models. The underlying framework provides a foundation to build multimodal applications. For example, the Gaze Estimation sample application requires the combination of Face Detection and Facial Landmarks (Fiducial Keypoints) Estimation.

The TLT Computer Vision Inference Pipeline is made up of three key components:

The purpose-built pre-trained AI models that are supported by this Inference Pipeline are as follows:

Users can retrain supported TLT networks, drop the optimized TensorRT models into the NVIDIA Triton Inference Server, and build their own AI applications and use-cases using the TLT CV API.

The deployment of the Inference Pipeline is managed by the TLT CV Quick Start Scripts, which are bash scripts that pull/start relevant containers, compile TLT models, and start the Triton Server.