Open source. Open possibilities.

A GPU-resident runtime for TensorRT image-to-image video models, enabling high-performance video upscaling by keeping raw frames on the GPU from decode to encode.

jetson-inference is a C++ and Python deep-vision library for NVIDIA Jetson. It uses TensorRT for on-device inference and PyTorch for training, with examples, pre-trained models, and tutorials for classification, detection, segmentation, pose, action, depth, and camera streaming.

YOLOv5 is a fast, accurate computer vision framework in PyTorch for object detection, instance segmentation, and image classification. It supports training on custom datasets, inference from various sources, and exporting models to formats like ONNX, TensorRT, and CoreML.