Pedestrian Detection on NVIDIA GPUs with TensorRT

Learn how you can generate CUDA^® code from a trained deep neural network in MATLAB^® and leverage the NVIDIA^® TensorRT™ library for inference on NVIDIA GPUs. The video demonstrates this by using a pedestrian detection application as an example. 

The NVIDIA TensorRT library is a high-performance deep learning inference optimizer and runtime library. The generated code leverages the network-level and layer-level TensorRT APIs to get the best performance, and you see the neural network for pedestrian detection running on a NVIDIA Titan XP around 700 fps . 

You can export the generated code along with the rest of the application and deploy the algorithm on embedded GPU targets such as Jetson Tegra^® or Drive™ PX platforms.