Showing 21-34 of 34 projects
PaddleSlim is an open-source library for deep model compression and architecture search.
A C++ library that enables deploying the YOLOv5 object detection model on mobile devices using the NCNN framework.
PyQt5 implementation of YOLOv5 GUI for computer vision applications using AI tools.
A Python library that uses YOLOv5 and DeepSort to implement vehicle and pedestrian tracking and counting.
A PyTorch-based YOLOv4 and YOLOv5 implementation for detecting fire and smoke in images and videos.
A C++ library for accelerating YOLO-based computer vision models using NVIDIA's TensorRT framework.
A high-performance and accurate license plate detection library built using Yolov5 and ncnn.
A C++ library that provides optimized YOLO object detection models for deployment on NVIDIA Jetson platforms.
A Python library for converting JSON annotations into YOLO format for object detection.
Open-source implementation of the YOLOv5 object detection model in PyTorch for training custom models.
A Python library that combines the latest version of YOLOv5 and DeepSort for object detection and tracking.
A PyTorch-based library for running various YOLO object detection models using NVIDIA's TensorRT for improved performance.
Provides a powerful object detection and tracking solution for vehicle and pedestrian counting using YOLOv5 and DeepSort.
A compression toolkit for YOLOv5 with support for various backbones, modules, and deployment options.
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