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Converting COCO annotation (CVAT) to annotation for YOLO-seg (instance segmentation) and YOLO-obb (oriented bounding box detection)
Python scripts performing Instance Segmentation using the YOLOv8 model in ONNX.
Create panorama image using invariant features from given set of overlapping images.
A Python package for fast and robust Image Stitching
Implementation of multiple image stitching
QZone History 是一个旨在还原和重建 QQ 空间历史的项目。通过收集和分析用户的活动记录,即使某些说说、留言板消息等内容已被删除,本项目也能够进行推理并进行数据重建,帮助用户找回珍贵的历史回忆。
Wechat Chat History Exporter 微信聊天记录导出备份程序
☁️💡🎈专注于改进YOLOv7,Support to improve Backbone, Neck, Head, Loss, IoU, NMS and other modules
🎨 ML Visuals contains figures and templates which you can reuse and customize to improve your scientific writing.
本仓库存放的是目标检测YOLO系列的一些代码以及改进模块的代码实现,需要的小伙伴自取就可以啦~
Yolo X, v3 ~ v12 and several Multi-Object Tracker(SORT, DeepSORT, ByteTrack, BoT-SORT, etc.) in MOT17 and VisDrone2019 Dataset. It uses a unified style and integrated tracker for easy embedding in …
🚗 the collection of vehicle re-ID papers, datasets. 🚗
vehicle re-identification baseline for veri and vehicleID dataset
⛹️ Pytorch ReID: A tiny, friendly, strong pytorch implement of person re-id / vehicle re-id baseline. Tutorial 👉https://github.com/layumi/Person_reID_baseline_pytorch/tree/master/tutorial
SOTA Re-identification Methods and Toolbox
A car re-identification app based on multi-feature fusion technique
Torchreid: Deep learning person re-identification in PyTorch.
kdheepak / kickstart.nvim
Forked from nvim-lua/kickstart.nvimA launch point for your personal nvim configuration
🔥🔥🔥 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🚀
(雷同的那个是营销号)YOLOv8检测模块组合优化改进(成功涨点):添加GAM注意力机制;添加小目标检测头;替换为Wise_IoU损失函数+完整web端展示(实现简单目标跟踪功能)
YOLOv8检测模块组合优化改进(成功涨点):添加GAM注意力机制;添加小目标检测头;替换为Wise_IoU损失函数+完整web端展示(实现简单目标跟踪功能)
一些关于目标检测的脚本的改进思路代码,详细请看readme.md
🔥🔥🔥🔥🔥🔥Docker NVIDIA Docker2 YOLOV5 YOLOX YOLO Deepsort TensorRT ROS Deepstream Jetson Nano TX2 NX for High-performance deployment(高性能部署)
BoxMOT: pluggable SOTA tracking modules for segmentation, object detection and pose estimation models