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README.md
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README.md
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@ -67,7 +67,23 @@ You will get the results:
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## Training
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The training code and instrument will release soon.
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```
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python train.py --workers 8 --device 0 --batch-size 32 --data data/coco.yaml --img 640 640 --cfg cfg/training/yolov7.yaml --weights '' --name yolov7 --hyp data/hyp.scratch.p5.yaml
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python train.py --workers 8 --device 0 --batch-size 32 --data data/coco.yaml --img 640 640 --cfg cfg/training/yolov7x.yaml --weights '' --name yolov7x --hyp data/hyp.scratch.p5.yaml
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```
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```
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python -m torch.distributed.launch --nproc_per_node 4 --master_port 9527 train.py --workers 8 --device 0,1,2,3 --sync-bn --batch-size 128 --data data/coco.yaml --img 640 640 --cfg cfg/training/yolov7.yaml --weights '' --name yolov7 --hyp data/hyp.scratch.p5.yaml
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python -m torch.distributed.launch --nproc_per_node 4 --master_port 9527 train.py --workers 8 --device 0,1,2,3 --sync-bn --batch-size 128 --data data/coco.yaml --img 640 640 --cfg cfg/training/yolov7x.yaml --weights '' --name yolov7x --hyp data/hyp.scratch.p5.yaml
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```
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The training code and instruction of p6 models will release soon.
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## Re-parameterization
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The re-parameterization code and instruction will release soon.
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## Citation
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* [https://github.com/Megvii-BaseDetection/YOLOX](https://github.com/Megvii-BaseDetection/YOLOX)
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* [https://github.com/ultralytics/yolov3](https://github.com/ultralytics/yolov3)
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* [https://github.com/ultralytics/yolov5](https://github.com/ultralytics/yolov5)
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* [https://github.com/DingXiaoH/RepVGG](https://github.com/DingXiaoH/RepVGG)
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* [https://github.com/JUGGHM/OREPA_CVPR2022](https://github.com/JUGGHM/OREPA_CVPR2022)
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</details>
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