Showing 1-13 of 13 projects
Darknet is a fast neural network framework in C/CUDA with YOLOv7 and Scaled-YOLOv4 for real-time object detection.
An implementation of the YOLOv7 state-of-the-art real-time object detection model.
PaddleDetection is an open-source object detection toolkit based on the PaddlePaddle deep learning framework, supporting various computer vision tasks.
TensorRT implementation of popular deep learning networks for efficient inference on GPUs
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 high-performance YOLO-based face detection model for computer vision applications.
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 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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