jetson-inference
Delve into deep learning for NVIDIA Jetson devices using TensorRT for optimized GPU use in C++ and Python, with PyTorch enabling model training. This project features image classification, object detection, semantic segmentation, and more, through DNN tools such as imageNet and detectNet. Includes integration with WebRTC and ROS/ROS2 for live camera inferencing. Follow Hello AI World tutorials to build, train, and deploy custom models. For more insights, explore LLMs and Vision Transformers tutorials at Jetson AI Lab.
