Ranking666 / Yolov5-ProcessingLinks
Multi-backbone, Prune, Quantization, KD
☆156Updated 3 years ago
Alternatives and similar repositories for Yolov5-Processing
Users that are interested in Yolov5-Processing are comparing it to the libraries listed below
Sorting:
- Yolov5 distillation training | Yolov5知识蒸馏训练,支持训练自己的数据☆227Updated 3 years ago
- yolov5 5.0 version distillation || yolov5 5.0版本知识蒸馏,yolov5l >> yolov5s☆163Updated 4 years ago
- 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 last year
- ☆93Updated 3 years ago
- ☆586Updated 3 years ago
- yolov5 prune,Support V2, V3, V4 and V6 versions of yolov5☆584Updated 3 years ago
- ☆138Updated 3 years ago
- Pytorch implementation of the 'Slim-neck by GSConv: a lightweight-design for real-time detector architectures'☆239Updated 3 months ago
- YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite☆26Updated 3 years ago
- 实现对YOLOX的剪枝操作,添加了卷积层和BN层融合推理,添加中间层可视化功能,可实现预测和训练日志保存☆46Updated 2 years ago
- ☆80Updated 4 years ago
- ☁️💡🎈专注于改进YOLOv7,Support to improve Backbone, Neck, Head, Loss, IoU, NMS and other modules☆211Updated last year
- 基于YoloV5的一些魔改及相关部署方案☆63Updated 3 years ago
- yolov5目标检测模型的知识蒸馏(基于响应的蒸馏)☆108Updated 4 years ago
- ☆68Updated 4 years ago
- ☆321Updated 2 years ago
- yolov5 pruning (SFP Pruning、Nework Slimming)☆19Updated 4 years ago
- YOLOv5的轻量化改进(蜂巢检测项目)☆75Updated 3 years ago
- ☆63Updated 4 years ago
- annotations of yolov5-5.0☆229Updated 4 years ago
- ☆101Updated 2 years ago
- YOLOv5 🚀 in PyTorch > ONNX > CoreML > TFLite☆67Updated 3 years ago
- ☆106Updated 3 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!☆240Updated 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
- 知识蒸馏复现相关☆27Updated 3 years ago
- More readable and flexible yolov5 with more backbone(gcn, resnet, shufflenet, moblienet, efficientnet, hrnet, swin-transformer, etc) and …☆685Updated last year
- ☆39Updated 2 years ago
- An unofficial implementation of Pytorch version PP-YOLOE,based on Megvii YOLOX training code.☆193Updated 3 years ago
- ☆26Updated 4 years ago