We read every piece of feedback, and take your input very seriously.
To see all available qualifiers, see our documentation.
Have a question about this project? Sign up for a free GitHub account to open an issue and contact its maintainers and the community.
By clicking “Sign up for GitHub”, you agree to our terms of service and privacy statement. We’ll occasionally send you account related emails.
Already on GitHub? Sign in to your account
I trained yolov9-t with coco, my command is this: python -m torch.distributed.launch --nproc_per_node 8 --master_port 9527 train_dual.py --workers 8 --device 0,1,2,3,4,5,6,7 --sync-bn --batch 128 --data data/coco.yaml --img 640 --cfg models/detect/yolov9-t.yaml --weights '' --name yolov9-t --hyp hyp.scratch-high.yaml --min-items 0 --epochs 500 --close-mosaic 15 but the map of the best.pt is 37.4
The text was updated successfully, but these errors were encountered:
val command is: python val_dual.py --data data/coco.yaml --img 640 --batch 32 --conf 0.001 --iou 0.7 --device 0 --weights './runs/train/yolov9-t5/weights/best.pt' --save-json --name yolov9_t_640_val
Sorry, something went wrong.
No branches or pull requests
I trained yolov9-t with coco, my command is this:
python -m torch.distributed.launch --nproc_per_node 8 --master_port 9527 train_dual.py --workers 8 --device 0,1,2,3,4,5,6,7 --sync-bn --batch 128 --data data/coco.yaml --img 640 --cfg models/detect/yolov9-t.yaml --weights '' --name yolov9-t --hyp hyp.scratch-high.yaml --min-items 0 --epochs 500 --close-mosaic 15
but the map of the best.pt is 37.4
The text was updated successfully, but these errors were encountered: