Implementation of paper - YOLOv7: Trainable bag-of-freebies sets new state-of-the-art for real-time object detectors
implementation of paper - You Only Learn One Representation: Unified Network for Multiple Tasks (https://arxiv.org/abs/2105.04206)
翻译 - 论文的实施-您只能学习一种表示形式：用于多个任务的统一网络（https://arxiv.org/abs/2105.04206）
🔥🔥🔥TensorRT for YOLOv8、YOLOv8-Pose、YOLOv8-Seg、YOLOv8-Cls、YOLOv7、YOLOv6、YOLOv5、YOLONAS......🚀🚀🚀CUDA IS ALL YOU NEED.🍎🍎🍎
☁️💡🎈专注于改进YOLOv7，Support to improve Backbone, Neck, Head, Loss, IoU, NMS and other modules
使用ONNXRuntime部署anchor-free系列的YOLOR，包含C++和Python两种版本的程序
#计算机科学#A cloud-based software application that monitors compliance with multiple personal protective equipment for construction safety and delivers reports to safety officers' mobile applications via a light...
Demos for how to use the shared libs of Lite.AI.ToolKit🚀🚀🌟. (https://github.com/DefTruth/lite.ai.toolkit)
Detection fresh and old fracture on spine CT image using YOLOR
#计算机科学#Experimental implementation of real-time object detection algorithm YOLOR on embedded systems (edge computing devices)
#计算机科学#FSOD stands for Firearms and Sharp Object Detector. Conclusively, this dashboard is a web application made with streamlit that can detect several kind of firearms and sharp object threat that I build ...
Real Time Lane Detection + Lane Line Generation + Object Detection + Object Counting (DeepSort, YoloR)
test models to proove state of art of object detection and classification in 3 differents dataset
Final project of VRDL course in 2021 fall semester at NYCU.
Created by Mehmet Zahid Genç
Helpful programs for dataset preparation in YOLO and YOLOR detection algorithms.