Implementation of popular deep learning networks with TensorRT network definition API
翻译 - 使用TensorRT网络定义API实施流行的深度学习网络
#计算机科学#Framework agnostic sliced/tiled inference + interactive ui + error analysis plots
翻译 - 用于执行大规模对象检测/实例分割的轻量级视觉库。
#计算机科学#🔥🔥🔥 专注于YOLO11,YOLOv8、TYOLOv12、YOLOv10、RT-DETR、YOLOv7、YOLOv5改进模型,Support to improve backbone, neck, head, loss, IoU, NMS and other modules🚀
#计算机科学#Turn any computer or edge device into a command center for your computer vision projects.
🚀 Easier & Faster YOLO Deployment Toolkit for NVIDIA 🛠️
🚀🚀🚀 YOLO series of PaddlePaddle implementation, PP-YOLOE+, RT-DETR, YOLOv5, YOLOv6, YOLOv7, YOLOv8, YOLOv10, YOLO11, YOLOX, YOLOv5u, YOLOv7u, YOLOv6Lite, RTMDet and so on. 🚀🚀🚀
Python library for YOLO small object detection and instance segmentation
🚀 A high performance real-time object detection solution using YOLO11 ⚡️ powered by ONNX-Runtime
#计算机科学#Enhances construction site safety using YOLO for object detection, identifying hazards like workers without helmets or safety vests, and proximity to machinery or vehicles. HDBSCAN clusters safety con...
Converting COCO annotation (CVAT) to annotation for YOLO-seg (instance segmentation) and YOLO-obb (oriented bounding box detection)
#IOS#Ultralytics YOLO iOS App source code for running YOLO in your own iOS apps 🌟
Based on tensorrt v8.0+, deploy detection, pose, segment, tracking of YOLO11 with C++ and python api.
#计算机科学#A comprehensive tool for processing and analyzing video footage, producing detailed insights into gameplay and player performance enhancing game understanding and performance evaluation.
yolo master 本课程主要对yolo系列模型进行介绍,包括各版本模型的结构,进行的改进等,旨在帮助学习者们可以了解和掌握主要yolo模型的发展脉络,以期在各自的应用领域可以进一步创新并在自己的任务上达到较好的效果。