YOLOv5-Compression
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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