WangRongsheng / KDAT
💥一个专为视觉方向目标检测全流程的标注工具集,全称:Kill Object Detection Annotation Tools。
☆77Updated last year
Alternatives and similar repositories for KDAT:
Users that are interested in KDAT are comparing it to the libraries listed below
- Official YOLOv7训练自己的数据集并实现端到端的TensorRT模型加速推断☆47Updated 2 years ago
- KLD实现旋转目标检测☆46Updated 2 years ago
- 🚀🚀🚀YOLOC is Combining different modules to build an different Object detection model.Including YOLOv3、YOLOv4、Scaled_YOLOv4、YOLOv5、YOLO…☆74Updated 2 years ago
- CoordAttention_YOLOX(基于CoordAttention坐标注意力机制的改进版YOLOX目标检测平台)☆50Updated last year
- 在保持GT框检测的同时检测并输出多边形位置信息。☆73Updated 2 years ago
- YoloX可视化训练插件☆125Updated 3 years ago
- ☆38Updated 2 years ago
- multi-task yolov5 with detection and segmentation☆226Updated 2 years ago
- 🚀Simple and efficient use for Ultralytics yolov8🚀☆173Updated last year
- A simple implementation of Tensorrt YOLOv7☆108Updated 2 years ago
- YOLOX in DOTA with KLD loss. (Oriented Object Detection)(Rotated BBox)基于YOLOX的旋转目标检测☆76Updated 3 years ago
- 将YOLOv5-Lite代码中的head更换为YOLOX head☆23Updated 3 years ago
- 使用OpenCV部署YOLOX,支持YOLOX-S、YOLOX-M、YOLOX-L、YOLOX-X、YOLOX-Darknet53五种结构,包含C++和Python两种版本的程序☆156Updated 3 years ago
- ☆92Updated 3 years ago
- 无人机视角、多模态、模型剪枝、国产AI芯片部署☆40Updated 3 years ago
- 分别使用OpenCV、ONNXRuntime部署yolov5旋转目标检测,包含C++和Python两个版本的程序☆61Updated 3 years ago
- 基于YoloV5的一些魔改及相关部署方案☆63Updated 2 years ago
- ☆106Updated 3 years ago
- yolov7目标检测算法的c++ tensorrt部署代码☆31Updated 2 years ago
- 基于yoloV5-V6系列,train_palte添加多头检测。train_key添加关键点检测算法。☆43Updated 2 years ago
- 基于yoloV7-pose添加任意个关键点和检测目标多分类☆112Updated 2 years ago
- 分别使用OpenCV、ONNXRuntime部署YOLOV7目标检测,一共包含14个onnx模型,依然是包含C++和Python两个版本的程序☆188Updated 2 years ago
- 布匹缺陷识别练习赛☆45Updated 4 years ago
- 11111☆27Updated 2 years ago
- 🚀🚀🚀This is an AI high-performance reasoning C++ library, Currently supports the deployment of yolov5, yolov7, yolov7-pose, yolov8, yol…☆128Updated 10 months ago
- ☆54Updated last year
- ☆71Updated 9 months ago
- rotated bbox detection. inspired by https://github.com/hukaixuan19970627/YOLOv5_DOTA_OBB, thanks hukaixuan19970627.☆89Updated 2 years ago
- 本项目可以检测人是否佩戴口罩,若佩戴则输出绿框,未佩戴则输出红框; 本项目基于yolov5,部署通过TensorRT加速,帧率可达200FPS☆43Updated 3 years ago
- ☆68Updated 3 years ago