YOLOv5 Series Multi-backbone, Pruning and quantization Compression Tool Box.

Related tags

Deep LearningYOLOv5-Multibackbone-Compression
Overview

YOLOv5-Compression

Update News

Requirements

环境安装

pip install -r requirements.txt

Evaluation metric

Visdrone

Model mAP [email protected] Parameters(M) GFLOPs [email protected]
YOLOv5n 13 26.2 1.78 4.2
YOLOv5s 18.4 34 7.05 15.9
YOLOv5m 21.6 37.8 20.91 48.2
YOLOv5l 23.2 39.7 46.19 108.1
YOLOv5x 24.3 40.8 86.28 204.4

yolov5n

nohup python train.py --data VisDrone.yaml --weights yolov5n.pt --cfg models/yolov5n.yaml --epochs 300 --batch-size 8 --img 608 --nosave --device 0,1 --sync-bn >> yolov5n.txt &

To do

  • Multibackbone: mobilenetv3
  • Multibackbone: shufflenetv2
  • Multibackbone: ghostnet
  • Multibackbone: TPH-YOLOv5
  • Pruning: Network slimming
  • Quantization: 4bit QAT
  • Knowledge Distillation
Owner
ZhangYuan
神经形态计算
ZhangYuan
GitHub Repository
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