Showing 1-8 of 8 projects
PaddleDetection is an open-source object detection toolkit based on the PaddlePaddle deep learning framework, supporting various computer vision tasks.
YOLOX is a high-performance anchor-free YOLO model for object detection
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 C++ library for accelerating YOLO-based computer vision models using NVIDIA's TensorRT framework.
A robust multi-pedestrian tracking library built with PyTorch, YOLO, and other computer vision techniques.
A PyTorch-based library for running various YOLO object detection models using NVIDIA's TensorRT for improved performance.
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