DataXujing / YOLOv9Links
YOLOv9 paper解析，训练自己的数据集，TensorRT端到端部署， NCNN安卓手机部署
☆67Updated last year
Alternatives and similar repositories for YOLOv9
Users that are interested in YOLOv9 are comparing it to the libraries listed below
Sorting:
- Official YOLOv7训练自己的数据集并实现端到端的TensorRT模型加速推断☆49Updated 3 years ago
- 🚀🚀🚀YOLOC is Combining different modules to build an different Object detection model.Including YOLOv3、YOLOv4、Scaled_YOLOv4、YOLOv5、YOLO…☆73Updated 3 years ago
- 🚀Simple and efficient use for Ultralytics yolov8🚀☆172Updated 2 years ago
- ☁️💡🎈专注于改进YOLOv7，Support to improve Backbone, Neck, Head, Loss, IoU, NMS and other modules☆211Updated last year
- Easy Training Official YOLOv11、YOLOv10、YOLOv8、YOLOv7、YOLOv6、YOLOv5 and Prune all_model using Torch-Pruning!☆137Updated 5 months ago
- ☆103Updated 2 years ago
- ☆58Updated 2 years ago
- 🌟Change the world, it will become a better place. | 以科研和竞赛为导向的最好的YOLO实践框架!☆241Updated last year
- This project showcases the deployment of the RT-DETR model using ONNXRUNTIME in C++ and Python.☆58Updated 2 years ago
- ☆39Updated 2 years ago
- WIDER-FACE Face Detector Based On YOLOV8☆86Updated last year
- Multi-thread tracking of YOLOv5 and ByteTrack implemented by C++, accelerated by TensorRT. YOLOv5 和 ByteTrack 的多线程追踪 C++ 实现, 使用 TensorRT …☆82Updated 7 months ago
- Learning ncnn with some examples☆71Updated 2 years ago
- 🚀🚀🚀This is an AI high-performance reasoning C++ library, Currently supports the deployment of yolov5, yolov7, yolov7-pose, yolov8, yol…☆136Updated last year
- Make it easier for yolov6 to change the network structure☆70Updated last year
- A simple implementation of Tensorrt YOLOv7☆108Updated 3 years ago
- 使用pytorch_quantization对yolov8进行量化☆118Updated 2 years ago
- A ready-to-use notebook!☆56Updated 3 months ago
- ☆113Updated last year
- 可以训练yolov5(v6.0)、yolox、小型网络，添加注意力机制☆66Updated 4 years ago
- yolov8 tensorrt 加速☆53Updated 3 years ago
- YOLOV5 小目标检测修改版☆200Updated 4 years ago
- 基于yolov5的车牌检测，包含车牌角点检测☆164Updated 3 years ago
- yolov5 tensorrt int8量化方法汇总☆86Updated 2 years ago
- yolov11（yolov8）尝试了7种不同的部署方法，并对每种方法的优势进行了简单总结。不同的平台、不同的时耗或CPU占用需求，总有一种方法是适用的。针对想入门部署的也是一个很好的参考学习资料。☆49Updated last year
- 本项目支持对剪枝后的yolov5模型进行知识蒸馏训练(This project supports knowledge distillation training for the pruned YOLOv5 model)☆108Updated 2 years ago
- 基于yoloV7-pose添加任意个关键点和检测目标多分类☆114Updated 3 years ago
- label your image with Segment Anything Model or MobileSAM, support remote labeling for multiple persons。使用Segment Anything Model或MobileSA…☆86Updated last year
- 在保持GT框检测的同时检测并输出多边形位置信息。☆77Updated 3 years ago
- 使用ONNXRuntime部署yolov5-lite目标检测，包含C++和Python两个版本的程序☆59Updated 3 years ago