Showing 21-40 of 46 projects
YOLOv5-Lite is a lightweight object detection model optimized for mobile and embedded devices.
A high-performance YOLO-based face detection model for computer vision applications.
Turn any computer or edge device into a command center for your computer vision projects.
A Python library for optimizing deep learning models for faster inference on deployment platforms like TensorRT.
A TensorRT extension for the Stable Diffusion Web UI, optimizing AI-powered image generation.
A PyTorch-based implementation of the YOLO object detection model for the NVIDIA DeepStream SDK.
A collection of TensorRT demos for object detection, image classification, and other computer vision tasks.
An easy-to-use and high-performance AI deployment framework for developers
A C++ library that accelerates YOLOv8 object detection using NVIDIA's TensorRT framework.
A toolkit for easier and faster deployment of YOLO (You Only Look Once) object detection models using NVIDIA TensorRT.
A curated collection of YOLO object detection projects and datasets for developers working with computer vision and AI.
Simple samples for TensorRT programming, a powerful GPU-accelerated inference optimization library from NVIDIA.
A deep learning gateway for Raspberry Pi and other edge devices, enabling AI inference at the edge.
PaddleSlim is an open-source library for deep model compression and architecture search.
A C++ library for accelerating YOLO-based computer vision models using NVIDIA's TensorRT framework.
Fast and flexible human pose estimation library for computer vision applications
High-performance multiple object tracking for computer vision and edge computing applications.
A C++ library that provides optimized YOLO object detection models for deployment on NVIDIA Jetson platforms.
A lightweight library to convert and run ML/DL models in high-performance inference runtimes like TensorRT, TorchScript, ONNX, and TVM.
A PyTorch-based library for running various YOLO object detection models using NVIDIA's TensorRT for improved performance.
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