Showing 1-9 of 9 projects
A high-performance object detection framework for industrial applications, built with PyTorch.
A lite C++ AI toolkit with 100+ models for computer vision tasks like detection, segmentation, and image generation.
An open-source toolbox for implementing state-of-the-art object detection models like YOLOv5, YOLOv6, YOLOv7, and RTMDet.
A powerful object detection and instance segmentation library built on top of YOLOv7 and transformers, with TensorRT acceleration.
A Python library focused on improving YOLO models for object detection and computer vision tasks.
A toolkit for easier and faster deployment of YOLO (You Only Look Once) object detection models using NVIDIA TensorRT.
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.
A PyTorch-based library for running various YOLO object detection models using NVIDIA's TensorRT for improved performance.
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