I downloaded this checkpoint and ran inference usingpython test.py --img 1280 --batch 16 --conf 0.001 --iou 0.65 --device 0 --data data/coco.yaml --weights yolor-d6-paper-573.pt --name yolor_d6_val --verbose but can only get 55.8 mAP on coco2017 val. How to reproduce 57.3?
Class Images Targets P R mAP@.5 mAP@.5:.95: 100%|█| 313/313 [03:44<00
all 5e+03 3.63e+04 0.488 0.812 0.743 0.558
I downloaded this checkpoint and ran inference using
python test.py --img 1280 --batch 16 --conf 0.001 --iou 0.65 --device 0 --data data/coco.yaml --weights yolor-d6-paper-573.pt --name yolor_d6_val --verbose
but can only get 55.8 mAP on coco2017 val. How to reproduce 57.3?